The document defines vectors and discusses their geometric and algebraic representations. Geometrically, a vector has a magnitude and direction represented by an arrow. Algebraically, a vector in a plane can be represented by its coordinates (a1, a2) and in 3D space by coordinates (a1, a2, a3). Vectors can be added by placing them head to tail, subtracted by reversing one and adding, and scaled by a scalar number. The dot product of two vectors A and B yields a scalar equal to |A||B|cosθ, where θ is the angle between the vectors.
The document defines vectors and discusses their geometric and algebraic representations. Geometrically, a vector has a magnitude and direction represented by an arrow. Algebraically, a vector in a plane can be represented by its coordinates (a1, a2) and in 3D space by coordinates (a1, a2, a3). Vectors can be added by placing them head to tail, subtracted by reversing one and adding, and scaled by a scalar number. The dot product of two vectors A and B yields a scalar value that geometrically equals the magnitudes of A and B multiplied by the cosine of the angle between them.
The document discusses various topics related to vectors including:
- Definitions of vectors, scalars, magnitude and direction
- Equality of vectors and types of vectors
- Addition and subtraction of vectors using triangle law and parallelogram law
- Multiplication of a vector by a scalar
- Scalar (dot) product and properties
- Vector (cross) product and properties
- Applications to work done, moments and areas
The document provides explanations, properties, examples and formulas for key vector algebra concepts.
This document discusses various concepts related to vectors and 3D geometry including dot products, cross products, planes, lines, and their relationships. Dot products can be used to find the angle between vectors and determine if vectors are perpendicular. Cross products give a vector perpendicular to both input vectors. Plane equations can be defined using a point and normal vector, three points, or two vectors in the plane. Lines are defined by two points or a point and direction vector. The intersection of planes and lines, parallelism, and distances between lines and points and planes are also covered.
A vector has magnitude and direction. There is an algebra and geometry of vectors which makes addition, subtraction, and scaling well-defined.
The scalar or dot product of vectors measures the angle between them, in a way. It's useful to show if two vectors are perpendicular or parallel.
This document provides an overview of vectors and their applications in physics. It defines vectors and differentiates them from scalars, discusses vector notation and representation, and covers key concepts like addition, subtraction, and multiplication of vectors. Examples are given of vector quantities like displacement, velocity and force. The document also explains vector operators like gradient, divergence and curl, which allow converting between scalar and vector quantities, and outlines how calculus is important in physics for studying change.
The dot product of two vectors a and b is a scalar value defined as |a||b|cosθ, where |a| and |b| are the lengths of the vectors and θ is the angle between them. The dot product will be 0 if the vectors are perpendicular, positive if the angle between them is less than 90 degrees, and negative if the angle is greater than 90 degrees. If one vector is a unit vector, the dot product equals the length of the other vector projected onto the direction of the unit vector.
Concept of Particles and Free Body Diagram
Why FBD diagrams are used during the analysis?
It enables us to check the body for equilibrium.
By considering the FBD, we can clearly define the exact system of forces which we must use in the investigation of any constrained body.
It helps to identify the forces and ensures the correct use of equation of equilibrium.
Note:
Reactions on two contacting bodies are equal and opposite on account of Newton's III Law.
The type of reactions produced depends on the nature of contact between the bodies as well as that of the surfaces.
Sometimes it is necessary to consider internal free bodies such that the contacting surfaces lie within the given body. Such a free body needs to be analyzed when the body is deformable.
Physical Meaning of Equilibrium and its essence in Structural Application
The state of rest (in appropriate inertial frame) of a system particles and/or rigid bodies is called equilibrium.
A particle is said to be in equilibrium if it is in rest. A rigid body is said to be in equilibrium if the constituent particles contained on it are in equilibrium.
The rigid body in equilibrium means the body is stable.
Equilibrium means net force and net moment acting on the body is zero.
Essence in Structural Engineering
To find the unknown parameters such as reaction forces and moments induced by the body.
In Structural Engineering, the major problem is to identify the external reactions, internal forces and stresses on the body which are produced during the loading. For the identification of such parameters, we should assume a body in equilibrium. This assumption provides the necessary equations to determine the unknown parameters.
For the equilibrium body, the number of unknown parameters must be equal to number of available parameters provided by static equilibrium condition.
1. The document discusses three geometry problems involving vectors and their solutions:
2. It shows that the midpoint lines of a parallelogram trisect its diagonal lines.
3. It proves that if two pairs of opposite edges in a tetrahedron are perpendicular, then the third pair is also perpendicular.
4. It demonstrates that the midpoint line between two sides of a triangle is parallel to the third side and half its length.
The document defines vectors and discusses their geometric and algebraic representations. Geometrically, a vector has a magnitude and direction represented by an arrow. Algebraically, a vector in a plane can be represented by its coordinates (a1, a2) and in 3D space by coordinates (a1, a2, a3). Vectors can be added by placing them head to tail, subtracted by reversing one and adding, and scaled by a scalar number. The dot product of two vectors A and B yields a scalar value that geometrically equals the magnitudes of A and B multiplied by the cosine of the angle between them.
The document discusses various topics related to vectors including:
- Definitions of vectors, scalars, magnitude and direction
- Equality of vectors and types of vectors
- Addition and subtraction of vectors using triangle law and parallelogram law
- Multiplication of a vector by a scalar
- Scalar (dot) product and properties
- Vector (cross) product and properties
- Applications to work done, moments and areas
The document provides explanations, properties, examples and formulas for key vector algebra concepts.
This document discusses various concepts related to vectors and 3D geometry including dot products, cross products, planes, lines, and their relationships. Dot products can be used to find the angle between vectors and determine if vectors are perpendicular. Cross products give a vector perpendicular to both input vectors. Plane equations can be defined using a point and normal vector, three points, or two vectors in the plane. Lines are defined by two points or a point and direction vector. The intersection of planes and lines, parallelism, and distances between lines and points and planes are also covered.
A vector has magnitude and direction. There is an algebra and geometry of vectors which makes addition, subtraction, and scaling well-defined.
The scalar or dot product of vectors measures the angle between them, in a way. It's useful to show if two vectors are perpendicular or parallel.
This document provides an overview of vectors and their applications in physics. It defines vectors and differentiates them from scalars, discusses vector notation and representation, and covers key concepts like addition, subtraction, and multiplication of vectors. Examples are given of vector quantities like displacement, velocity and force. The document also explains vector operators like gradient, divergence and curl, which allow converting between scalar and vector quantities, and outlines how calculus is important in physics for studying change.
The dot product of two vectors a and b is a scalar value defined as |a||b|cosθ, where |a| and |b| are the lengths of the vectors and θ is the angle between them. The dot product will be 0 if the vectors are perpendicular, positive if the angle between them is less than 90 degrees, and negative if the angle is greater than 90 degrees. If one vector is a unit vector, the dot product equals the length of the other vector projected onto the direction of the unit vector.
Concept of Particles and Free Body Diagram
Why FBD diagrams are used during the analysis?
It enables us to check the body for equilibrium.
By considering the FBD, we can clearly define the exact system of forces which we must use in the investigation of any constrained body.
It helps to identify the forces and ensures the correct use of equation of equilibrium.
Note:
Reactions on two contacting bodies are equal and opposite on account of Newton's III Law.
The type of reactions produced depends on the nature of contact between the bodies as well as that of the surfaces.
Sometimes it is necessary to consider internal free bodies such that the contacting surfaces lie within the given body. Such a free body needs to be analyzed when the body is deformable.
Physical Meaning of Equilibrium and its essence in Structural Application
The state of rest (in appropriate inertial frame) of a system particles and/or rigid bodies is called equilibrium.
A particle is said to be in equilibrium if it is in rest. A rigid body is said to be in equilibrium if the constituent particles contained on it are in equilibrium.
The rigid body in equilibrium means the body is stable.
Equilibrium means net force and net moment acting on the body is zero.
Essence in Structural Engineering
To find the unknown parameters such as reaction forces and moments induced by the body.
In Structural Engineering, the major problem is to identify the external reactions, internal forces and stresses on the body which are produced during the loading. For the identification of such parameters, we should assume a body in equilibrium. This assumption provides the necessary equations to determine the unknown parameters.
For the equilibrium body, the number of unknown parameters must be equal to number of available parameters provided by static equilibrium condition.
1. The document discusses three geometry problems involving vectors and their solutions:
2. It shows that the midpoint lines of a parallelogram trisect its diagonal lines.
3. It proves that if two pairs of opposite edges in a tetrahedron are perpendicular, then the third pair is also perpendicular.
4. It demonstrates that the midpoint line between two sides of a triangle is parallel to the third side and half its length.
The document contains a list of 6 group members with their names and student identification numbers. The group members are:
1. Ridwan bin shamsudin, student ID: D20101037472
2. Mohd. Hafiz bin Salleh, student ID: D20101037433
3. Muhammad Shamim Bin Zulkefli, student ID: D20101037460
4. Jasman bin Ronie, student ID: D20101037474
5. Hairieyl Azieyman Bin Azmi, student ID: D20101037426
6. Mustaqim Bin Musa, student ID:
Vectors have both magnitude and direction and are represented by arrows. Scalars have only magnitude. There are two main types of operations on vectors: addition and multiplication. Vector addition uses the parallelogram or triangle rule to find the resultant vector. Multiplication of a vector by a scalar changes its magnitude but not direction. The dot product of vectors is a scalar that depends on their relative orientation. The cross product of vectors is another vector perpendicular to both original vectors. Examples demonstrate calculating vector components, additions, subtractions and products.
Vectors have both magnitude and direction, represented by arrows. The sum of two vectors is obtained by placing the tail of one vector at the head of the other. If the vectors are at right angles, their dot product is zero, while their cross product is maximum. Scalar multiplication scales the magnitude but not the direction of a vector.
This document provides an introduction to vectors, including:
- Defining scalars and vectors
- Methods for specifying vector directions using a compass or bearings
- Techniques for adding and subtracting vectors graphically and using components
- Using trigonometric functions like sine and cosine to resolve vectors into components and calculate resultant vectors
- The cosine and sine laws for adding non-perpendicular vectors
Exercises are provided to help students practice specifying vector directions, graphical addition/subtraction, and using components and trigonometric functions to calculate vector sums and differences.
- A particle starts from the point with position vector (3i + 7j) m and then moves with constant velocity (2i – j) ms-1. The question asks to find the position vector of the particle 4 seconds later.
- Substituting the values into the displacement equation gives the final position vector as (12i + 3j) m.
- A second particle is given a position vector of (2i + 4j) m at time t = 0 and a position vector of (12i + 16j) m five seconds later. Using the displacement equation gives the velocity of the particle as (2i + 4j) ms-1.
- For a third particle
This presentation covers scalar quantity, vector quantity, addition of vectors & multiplication of vector. I hope this PPT will be helpful for Instructors as well as students.
This document provides a summary of vectors and their properties. It defines vectors as physical quantities having magnitude and direction. It describes methods for representing, adding, subtracting and resolving vectors. It also defines dot products and cross products of vectors, and explains how to calculate them for vectors represented in Cartesian form. The document aims to concisely summarize important vector concepts and formulas.
This document introduces vectors and their properties. It defines a vector as having both magnitude and direction, represented by bold letters with arrows. Scalar quantities only have magnitude. The key vector operations are addition, by placing vectors tip to tail, and scalar multiplication. Laws of vector algebra include commutativity, associativity and distributivity. Dot and cross products are also introduced, with the dot product yielding a scalar and cross product a vector. Several problems demonstrate applying concepts like finding angles between vectors and using vector identities.
The document describes several methods for finding the vector sum (resultant) of two or more vectors, including:
1. The parallelogram method draws the vectors to form a parallelogram, with the resultant being the diagonal.
2. The cosine method uses a formula involving the magnitudes of the vectors and the angle between them.
3. The polygon method connects the vectors tip to tail to form a polygon, with the resultant connecting the initial and final points.
4. The analytic method resolves the vectors into their x and y components, sums the respective components, and determines the resultant's magnitude and direction from the sums and a formula.
1. The document discusses vectors, including their magnitude and direction. Vectors can represent things like wind speed and direction, forces, velocities, etc. Magnitude represents size while direction specifies the orientation.
2. It introduces vector notation and operations. The magnitude of a vector a is written as |a|. Two vectors are equal if their magnitudes and directions are equal. Vector addition is demonstrated geometrically by drawing the vectors head to tail.
3. Examples show how to find the resultant of adding or subtracting vectors using diagrams. Vector subtraction is performed by adding the negative of the vector. Properties like the parallelogram law for vector addition are also covered.
The document discusses key concepts regarding vector quantities including:
1) Vectors can be represented graphically with arrows to indicate both magnitude and direction.
2) A vector can be described by its components in different directions or bases.
3) The scalar (dot) product of two vectors results in a scalar and indicates whether vectors are parallel, while the vector (cross) product produces another vector perpendicular to the two.
4) Important vector relationships include the direction cosines that specify a vector's direction, and calculating the angle between two vectors.
1. A scalar is a physical quantity that has only magnitude, such as mass, length, and time. A vector is a physical quantity that has both magnitude and direction, such as displacement, velocity, and force.
2. Vectors can be classified based on their orientation as parallel, anti-parallel, or perpendicular. They can also be added using geometric methods like the triangle law or analytical methods using components.
3. Multiplying a vector by a scalar multiplies the magnitude by the scalar value. Vector multiplication can produce a scalar using the dot product or a vector using the cross product. The dot product returns the magnitudes of the vectors and their cosine angle.
This document discusses scalar and vector quantities, defines vectors and their properties, and describes methods for vector addition and subtraction. It introduces concepts like the triangle law and parallelogram law of vector addition, multiplying vectors by scalars, position and displacement vectors, unit vectors, and resolving vectors into rectangular components. Key points covered include defining scalar/vector quantities, representing vectors with arrows, adding vectors using triangles/parallelograms, and properties like commutativity and associativity of vector addition.
Vector analysis is the application of vector methods to problems in engineering and physics. It involves operations like divergence and position vectors. Divergence measures how a vector field changes in magnitude and direction at different points, and is used in electromagnetism like Gauss's law. Position vectors describe the location of a point in space relative to an origin point. Vector analysis also has applications in signal processing, like designing smooth takeoff and landing paths for airplanes by calculating accelerations from initial and final position and velocity vectors.
Concept of Particles and Free Body Diagram
Why FBD diagrams are used during the analysis?
It enables us to check the body for equilibrium.
By considering the FBD, we can clearly define the exact system of forces which we must use in the investigation of any constrained body.
It helps to identify the forces and ensures the correct use of equation of equilibrium.
Note:
Reactions on two contacting bodies are equal and opposite on account of Newton's III Law.
The type of reactions produced depends on the nature of contact between the bodies as well as that of the surfaces.
Sometimes it is necessary to consider internal free bodies such that the contacting surfaces lie within the given body. Such a free body needs to be analyzed when the body is deformable.
Physical Meaning of Equilibrium and its essence in Structural Application
The state of rest (in appropriate inertial frame) of a system particles and/or rigid bodies is called equilibrium.
A particle is said to be in equilibrium if it is in rest. A rigid body is said to be in equilibrium if the constituent particles contained on it are in equilibrium.
The rigid body in equilibrium means the body is stable.
Equilibrium means net force and net moment acting on the body is zero.
Essence in Structural Engineering
To find the unknown parameters such as reaction forces and moments induced by the body.
In Structural Engineering, the major problem is to identify the external reactions, internal forces and stresses on the body which are produced during the loading. For the identification of such parameters, we should assume a body in equilibrium. This assumption provides the necessary equations to determine the unknown parameters.
For the equilibrium body, the number of unknown parameters must be equal to number of available parameters provided by static equilibrium condition.
The document discusses the key differences between scalar and vector quantities, explaining that scalars only have magnitude while vectors have both magnitude and direction, and provides examples of each. It then focuses on methods for representing and adding vectors graphically and mathematically, including tip-to-tail addition, component methods, and subtraction by adding the opposite vector.
This document is a solution to a physics problem set composed and formatted by E.A. Baltz and M. Strovink. It contains solutions to 6 problems using vector algebra and trigonometry. The document uses concepts like the law of cosines, dot products, cross products, and vector identities to break vectors into components and calculate angles between vectors. It also applies these concepts to problems involving vectors representing locations on a sphere and wind resistance problems for airplanes.
This document introduces vectors and how they can be used to describe displacements and solve problems involving displacement. It discusses that vectors have both direction and magnitude, and provides examples. Vectors can be added and represented using line segments. The triangle law of addition allows vectors to be added using a triangle. Vectors can also be described using i and j notation, where i and j are unit vectors along the x and y axes, and any two-dimensional vector can be written as ai + bj. Problems can then be solved by adding or subtracting the i and j terms. The magnitude of a vector can be found using Pythagoras' theorem, and the angle between a vector and an axis can be found using trig
Three Solutions of the LLP Limiting Case of the Problem of Apollonius via Geo...James Smith
This document adds to the collection of solved problems presented in http://www.slideshare.net/JamesSmith245/rotations-of-vectors-via-geometric-algebra-explanation-and-usage-in-solving-classic-geometric-construction-problems-version-of-11-february-2016,http://www.slideshare.net/JamesSmith245/solution-of-the-ccp-case-of-the-problem-of-apollonius-via-geometric-clifford-algebra, http://www.slideshare.net/JamesSmith245/solution-of-the-special-case-clp-of-the-problem-of-apollonius-via-vector-rotations-using-geometric-algebra, and http://www.slideshare.net/JamesSmith245/a-very-brief-introduction-to-reflections-in-2d-geometric-algebra-and-their-use-in-solving-construction-problems. After reviewing, briefly, how reflections and rotations can be expressed and manipulated via GA, it solves the LLP limiting case of the Problem of Apollonius in two ways.
The document contains a list of 6 group members with their names and student identification numbers. The group members are:
1. Ridwan bin shamsudin, student ID: D20101037472
2. Mohd. Hafiz bin Salleh, student ID: D20101037433
3. Muhammad Shamim Bin Zulkefli, student ID: D20101037460
4. Jasman bin Ronie, student ID: D20101037474
5. Hairieyl Azieyman Bin Azmi, student ID: D20101037426
6. Mustaqim Bin Musa, student ID:
Vectors have both magnitude and direction and are represented by arrows. Scalars have only magnitude. There are two main types of operations on vectors: addition and multiplication. Vector addition uses the parallelogram or triangle rule to find the resultant vector. Multiplication of a vector by a scalar changes its magnitude but not direction. The dot product of vectors is a scalar that depends on their relative orientation. The cross product of vectors is another vector perpendicular to both original vectors. Examples demonstrate calculating vector components, additions, subtractions and products.
Vectors have both magnitude and direction, represented by arrows. The sum of two vectors is obtained by placing the tail of one vector at the head of the other. If the vectors are at right angles, their dot product is zero, while their cross product is maximum. Scalar multiplication scales the magnitude but not the direction of a vector.
This document provides an introduction to vectors, including:
- Defining scalars and vectors
- Methods for specifying vector directions using a compass or bearings
- Techniques for adding and subtracting vectors graphically and using components
- Using trigonometric functions like sine and cosine to resolve vectors into components and calculate resultant vectors
- The cosine and sine laws for adding non-perpendicular vectors
Exercises are provided to help students practice specifying vector directions, graphical addition/subtraction, and using components and trigonometric functions to calculate vector sums and differences.
- A particle starts from the point with position vector (3i + 7j) m and then moves with constant velocity (2i – j) ms-1. The question asks to find the position vector of the particle 4 seconds later.
- Substituting the values into the displacement equation gives the final position vector as (12i + 3j) m.
- A second particle is given a position vector of (2i + 4j) m at time t = 0 and a position vector of (12i + 16j) m five seconds later. Using the displacement equation gives the velocity of the particle as (2i + 4j) ms-1.
- For a third particle
This presentation covers scalar quantity, vector quantity, addition of vectors & multiplication of vector. I hope this PPT will be helpful for Instructors as well as students.
This document provides a summary of vectors and their properties. It defines vectors as physical quantities having magnitude and direction. It describes methods for representing, adding, subtracting and resolving vectors. It also defines dot products and cross products of vectors, and explains how to calculate them for vectors represented in Cartesian form. The document aims to concisely summarize important vector concepts and formulas.
This document introduces vectors and their properties. It defines a vector as having both magnitude and direction, represented by bold letters with arrows. Scalar quantities only have magnitude. The key vector operations are addition, by placing vectors tip to tail, and scalar multiplication. Laws of vector algebra include commutativity, associativity and distributivity. Dot and cross products are also introduced, with the dot product yielding a scalar and cross product a vector. Several problems demonstrate applying concepts like finding angles between vectors and using vector identities.
The document describes several methods for finding the vector sum (resultant) of two or more vectors, including:
1. The parallelogram method draws the vectors to form a parallelogram, with the resultant being the diagonal.
2. The cosine method uses a formula involving the magnitudes of the vectors and the angle between them.
3. The polygon method connects the vectors tip to tail to form a polygon, with the resultant connecting the initial and final points.
4. The analytic method resolves the vectors into their x and y components, sums the respective components, and determines the resultant's magnitude and direction from the sums and a formula.
1. The document discusses vectors, including their magnitude and direction. Vectors can represent things like wind speed and direction, forces, velocities, etc. Magnitude represents size while direction specifies the orientation.
2. It introduces vector notation and operations. The magnitude of a vector a is written as |a|. Two vectors are equal if their magnitudes and directions are equal. Vector addition is demonstrated geometrically by drawing the vectors head to tail.
3. Examples show how to find the resultant of adding or subtracting vectors using diagrams. Vector subtraction is performed by adding the negative of the vector. Properties like the parallelogram law for vector addition are also covered.
The document discusses key concepts regarding vector quantities including:
1) Vectors can be represented graphically with arrows to indicate both magnitude and direction.
2) A vector can be described by its components in different directions or bases.
3) The scalar (dot) product of two vectors results in a scalar and indicates whether vectors are parallel, while the vector (cross) product produces another vector perpendicular to the two.
4) Important vector relationships include the direction cosines that specify a vector's direction, and calculating the angle between two vectors.
1. A scalar is a physical quantity that has only magnitude, such as mass, length, and time. A vector is a physical quantity that has both magnitude and direction, such as displacement, velocity, and force.
2. Vectors can be classified based on their orientation as parallel, anti-parallel, or perpendicular. They can also be added using geometric methods like the triangle law or analytical methods using components.
3. Multiplying a vector by a scalar multiplies the magnitude by the scalar value. Vector multiplication can produce a scalar using the dot product or a vector using the cross product. The dot product returns the magnitudes of the vectors and their cosine angle.
This document discusses scalar and vector quantities, defines vectors and their properties, and describes methods for vector addition and subtraction. It introduces concepts like the triangle law and parallelogram law of vector addition, multiplying vectors by scalars, position and displacement vectors, unit vectors, and resolving vectors into rectangular components. Key points covered include defining scalar/vector quantities, representing vectors with arrows, adding vectors using triangles/parallelograms, and properties like commutativity and associativity of vector addition.
Vector analysis is the application of vector methods to problems in engineering and physics. It involves operations like divergence and position vectors. Divergence measures how a vector field changes in magnitude and direction at different points, and is used in electromagnetism like Gauss's law. Position vectors describe the location of a point in space relative to an origin point. Vector analysis also has applications in signal processing, like designing smooth takeoff and landing paths for airplanes by calculating accelerations from initial and final position and velocity vectors.
Concept of Particles and Free Body Diagram
Why FBD diagrams are used during the analysis?
It enables us to check the body for equilibrium.
By considering the FBD, we can clearly define the exact system of forces which we must use in the investigation of any constrained body.
It helps to identify the forces and ensures the correct use of equation of equilibrium.
Note:
Reactions on two contacting bodies are equal and opposite on account of Newton's III Law.
The type of reactions produced depends on the nature of contact between the bodies as well as that of the surfaces.
Sometimes it is necessary to consider internal free bodies such that the contacting surfaces lie within the given body. Such a free body needs to be analyzed when the body is deformable.
Physical Meaning of Equilibrium and its essence in Structural Application
The state of rest (in appropriate inertial frame) of a system particles and/or rigid bodies is called equilibrium.
A particle is said to be in equilibrium if it is in rest. A rigid body is said to be in equilibrium if the constituent particles contained on it are in equilibrium.
The rigid body in equilibrium means the body is stable.
Equilibrium means net force and net moment acting on the body is zero.
Essence in Structural Engineering
To find the unknown parameters such as reaction forces and moments induced by the body.
In Structural Engineering, the major problem is to identify the external reactions, internal forces and stresses on the body which are produced during the loading. For the identification of such parameters, we should assume a body in equilibrium. This assumption provides the necessary equations to determine the unknown parameters.
For the equilibrium body, the number of unknown parameters must be equal to number of available parameters provided by static equilibrium condition.
The document discusses the key differences between scalar and vector quantities, explaining that scalars only have magnitude while vectors have both magnitude and direction, and provides examples of each. It then focuses on methods for representing and adding vectors graphically and mathematically, including tip-to-tail addition, component methods, and subtraction by adding the opposite vector.
This document is a solution to a physics problem set composed and formatted by E.A. Baltz and M. Strovink. It contains solutions to 6 problems using vector algebra and trigonometry. The document uses concepts like the law of cosines, dot products, cross products, and vector identities to break vectors into components and calculate angles between vectors. It also applies these concepts to problems involving vectors representing locations on a sphere and wind resistance problems for airplanes.
This document introduces vectors and how they can be used to describe displacements and solve problems involving displacement. It discusses that vectors have both direction and magnitude, and provides examples. Vectors can be added and represented using line segments. The triangle law of addition allows vectors to be added using a triangle. Vectors can also be described using i and j notation, where i and j are unit vectors along the x and y axes, and any two-dimensional vector can be written as ai + bj. Problems can then be solved by adding or subtracting the i and j terms. The magnitude of a vector can be found using Pythagoras' theorem, and the angle between a vector and an axis can be found using trig
Three Solutions of the LLP Limiting Case of the Problem of Apollonius via Geo...James Smith
This document adds to the collection of solved problems presented in http://www.slideshare.net/JamesSmith245/rotations-of-vectors-via-geometric-algebra-explanation-and-usage-in-solving-classic-geometric-construction-problems-version-of-11-february-2016,http://www.slideshare.net/JamesSmith245/solution-of-the-ccp-case-of-the-problem-of-apollonius-via-geometric-clifford-algebra, http://www.slideshare.net/JamesSmith245/solution-of-the-special-case-clp-of-the-problem-of-apollonius-via-vector-rotations-using-geometric-algebra, and http://www.slideshare.net/JamesSmith245/a-very-brief-introduction-to-reflections-in-2d-geometric-algebra-and-their-use-in-solving-construction-problems. After reviewing, briefly, how reflections and rotations can be expressed and manipulated via GA, it solves the LLP limiting case of the Problem of Apollonius in two ways.
This document discusses vectors and their components, magnitude, direction, and addition. It provides examples of calculating the magnitude and component form of vectors. It also explains how to add vectors using the parallelogram method by drawing a parallelogram and finding the diagonal vector sum, or the component method by finding the horizontal and vertical components and adding them. Vector addition is important in physics for the law of conservation of momentum.
This document contains a series of exercises related to vectors in a plane. It begins with exercises involving vector operations like finding scalar multiples that satisfy equations and vector addition and subtraction. Later questions involve vector properties such as parallelism of vectors, orthogonality, vector lengths, and linear combinations of vectors. Geometric representations of vectors are also explored through problems finding points and line segments. The document aims to reinforce concepts of vector algebra and geometry through multiple practice problems.
This document provides an overview of electromagnetic fields and discusses scalars, vectors, and coordinate systems. It begins by defining electromagnetics and listing common EM devices. It then discusses scalars, vectors, unit vectors, and how to add and subtract vectors. It also covers position vectors, dot and cross products, and vector components. The document finishes by explaining Cartesian, cylindrical, and spherical coordinate systems, and how to transform between coordinate systems. It defines constant coordinate surfaces for each system.
This document provides an introduction to vector functions of one variable. It defines key concepts like scalar and vector, direction cosines, scalar and vector products, and differentiation of vector functions. Examples are given on determining direction cosines of a vector, the angle between vectors, and properties of triple products. The document also discusses how to determine if vectors are coplanar and visualization of differentiation of a vector function with respect to a variable like time.
The document discusses modeling tidal data with a sine wave function. It provides steps to sketch the graph based on key components:
- D is the vertical shift (average sea level of 0 feet)
- A is the amplitude of 2 feet
- B determines the period of 12.5 hours
- C is the horizontal shift starting at January 1st
It describes finding the equation to model the tide heights over time by determining the A, B, C, and D values. The example uses the equation y=2sin((π/12.5)x) , solves for theta, and inputs back into the equation to find the first high tide was at 1:47 am on January 1st.
The document provides information about geometry and trigonometry concepts. It discusses segments of a line, harmonic division of segments, the golden section, relationships between points on a line, and exercises related to finding lengths and distances given information about points. It also covers trigonometric angles and systems for measuring angles, including the sexagesimal, centesimal, and radial systems. Conversions between these systems are discussed along with example exercises calculating angle measures in different systems.
The document summarizes key concepts in vector analysis presented in a physics presentation:
Vectors have both magnitude and direction, unlike scalars which only have magnitude. Common vector quantities include displacement, velocity, force. Vectors can be added using the parallelogram law or triangle law. The dot product of two vectors produces a scalar, while the cross product produces a vector perpendicular to the two input vectors. Vector concepts like resolution, equilibrium of forces, and area/volume calculations utilize dot and cross products.
This document discusses the dot product of vectors. It defines the dot product as the sum of the products of the corresponding components of two vectors. The dot product is a scalar quantity that can be used to determine the angle between vectors and whether vectors are orthogonal. It also discusses the relationship between the dot product and the projections of one vector onto another vector.
This document provides information about various geometric concepts in Cartesian coordinates (R2). It defines R2 as the set of all ordered pairs (a,b) of real numbers. It discusses representing points in R2 using coordinates, and defines concepts like distance, midpoint, linear equations, circles, parabolas, ellipses, and hyperbolas. It provides examples of finding distances between points, finding midpoints of line segments, graphing linear equations, finding equations of circles, and identifying graphs of parabolas, ellipses and hyperbolas based on their standard equations.
Vectors have both magnitude and direction, while scalars only have magnitude. There are two main methods for adding vectors graphically: the head-to-tail method and the parallelogram method. Vectors can also be represented and added using their horizontal and vertical components. The dot product of two vectors yields a scalar that indicates the cosine of the angle between the vectors, while the vector product yields a vector that is perpendicular to both original vectors and whose magnitude depends on the angle between them.
The document defines scalars and vectors. Scalars are physical quantities that only require a magnitude, while vectors require both magnitude and direction. It then discusses various types of vectors, including displacement vectors, unit vectors, the null vector, proper vectors, and the negative of a vector. It explains how to represent vectors graphically and mathematically. Finally, it covers vector operations such as addition, subtraction, and multiplication of vectors, as well as the dot product and properties of the dot product.
This document discusses vector algebra concepts including:
1. Vectors can represent quantities that have both magnitude and direction, unlike scalars which only have magnitude.
2. Common vector operations include addition, subtraction, and determining the resultant or sum of multiple vectors.
3. The dot product of two vectors produces a scalar value that can indicate whether vectors are parallel or perpendicular and define physical quantities like work and electric fields.
4. The cross product of two vectors produces a new vector that is perpendicular to the original vectors and can define quantities like angular velocity and motion in electromagnetic fields.
This document provides an overview of key concepts in vector calculus, including:
- Vector calculus concepts such as limits, continuity, derivatives, and integrals of vector functions.
- Operations on vectors like addition, subtraction, scalar multiplication.
- Vector products including the dot product and cross product.
- Applications of vector calculus like determining velocity, acceleration, and line, surface, and volume integrals.
- Parametric representations of curves using a parameter like time, and their relation to geometry.
The document discusses topics in coordinate geometry including slopes, length of line segments, midpoints, and proofs. It provides formulas and examples for calculating slopes, lengths of lines, and midpoints. It also discusses using an analytical approach to prove geometric theorems through using coordinates, formulas, and algebraic manipulations rather than relying solely on diagrams.
The document discusses trigonometric sum and difference angle formulas. It states that trig functions are not additive, providing the example that sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2). It then derives the cosine difference angle formula C(A - B) = C(A)C(B) + S(A)S(B) through a geometric proof involving rotating points on a unit circle. This formula is the basis for other sum and difference formulas listed, including the cosine sum formula C(A + B) = C(A)C(-B) + S(A)S(-B).
9. sum and double half-angle formulas-xharbormath240
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1) The eigenvectors of a matrix corresponding to distinct eigenvalues are orthogonal.
2) The characteristic polynomial of the adjoint of a matrix is equal to the characteristic polynomial of the original matrix with the eigenvalues replaced by their reciprocals.
3) The eigenvalues of an orthogonal matrix have absolute value of 1.
4) If the eigenvalue of an orthogonal matrix is not ±1, then the associated eigenvector is the zero vector.
5) The eigenvectors corresponding to distinct eigenvalues of a symmetric matrix are orthogonal.
It also provides examples of finding the eigenvalues and eigenvectors of specific matrices.
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This document summarizes a study that uses discrete singular convolution (DSC) and finite element methods (FEM) to provide benchmark quality data for simulations of natural convection in a differentially heated square cavity over a range of Rayleigh numbers from 103 to 108. The study aims to introduce DSC as a high-accuracy method for coupled convective heat transfer problems, present new benchmark data, and examine discrepancies in previous literature on this problem. Two independent methods, DSC and FEM, are used to solve the Navier-Stokes and energy equations governing the buoyancy-driven cavity problem. Validation studies and a focused analysis of the results are presented.
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Here are the steps to solve this problem:
1. The region R is bounded by the circle r = 1 and the line x + y = 1 in polar coordinates.
2. To set up the double integral in polar coordinates, we first identify the limits of integration with respect to r. Since we are integrating r dr first, we hold θ fixed and let r vary from the minimum to maximum r value along each radial line. The minimum is r = 1/(cosθ + sinθ) and the maximum is r = 1.
3. Next, we identify the limits with respect to θ. The radial lines intersecting the region range from θ = 0 to θ = π/2.
4.
The document defines a vector as having both magnitude and direction, represented geometrically by an arrow. It discusses representing vectors algebraically using coordinates, and defines operations like addition, subtraction, and scaling of vectors. Key vector concepts covered include the dot product, which yields a scalar when combining two vectors, and unit vectors, which have a magnitude of 1. Examples are provided of using vectors to solve problems and prove geometric properties.
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Embedded machine learning-based road conditions and driving behavior monitoring
Vectors.pdf
1. ��
Vectors
Geometric view
A vector is defined as having a magnitude and a direction. We represent it by an arrow in
the plane or in space. The length of the arrow is the vector’s magnitude and the direction
of the arrow is the vector’s direction.
In this way, two arrows with the same magnitude and direction represent the same vector.
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/
(same vector)
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/
/
/
/
/
/
/
We will refer to the start of the arrow as the tail and the end as the tip or head.
−
−
→
The vector between two points will be denoted PQ.
−
−
→
PQ
•P
Q
−
−
→
We call P the initial point and Q the terminal point of PQ.
The magnitude of the vector A will be denoted |A|. Magnitude will also be called length
or norm
Scaling, adding and subtracting vectors
Scaling a vector means changing its length by a scale factor. For example,
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2A
A −A
1
A
2
Because we use numbers to scale a vector we will often refer to real numbers as scalars
You add vectors by placing them head to tail. As the figure shows, this can be done in
(scaling a vector)
1
1
2. �
�
either order
B ��
/ /
/ /
/ /
/ /
/ /
A/ /
/ A + B /A
/ /
/ /
/ /
/ /
/ /
B
It is often useful to think of vectors as displacements. In this way, A + B can be thought
of as the displacement A followed by the displacement B.
You subtract vectors either by placing the tail to tail or by adding A + (−B).
−B
/
/
/
/
/
A/
/ A − B
/
/
/
/
/
B
Thought of as displacements A − B is the displacement from the end of B to the end of A.
Algebraic view
As is conventional, we label the origin O. In the plane O = (0, 0) and in space O = (0, 0, 0).
In the xy-plane if we place the tail of A at the origin, its head will be at the point with
coordinates, say, (a1, a2). In this way, the coordinates of the head determine the vector A.
When we draw A from the origin we will refer to it as an origin vector.
Using the coordinates we write
A = (a1, a2).
Addition, subtraction and scaling using coordinates is discussed below.
Graphically:
y
y�
y
/ (a1, a2)
/
/
/
/
/
A/
/ a2j
/
/
/
/
/
/
/
/ x
O a1i
y
The vectors i and j used in the figure above have coordinates
j
i = (1, 0), j = (0, 1). We use them so often that they get
their own symbols.
i
Notation and terminology
1. (a1, a2) indicates a point in the plane.
2. (a1, a2) = a1i + a2j. This is equal to the vector drawn from the origin to the point
(a1, a2).
3. For A = a1i + a2j, a1 and a2 are called the i and j components of A. (Note that they
are scalars.)
−
→ −
−
→
5. P = OP is the vector from the origin to P.
2
2
3. �
�
�������������
6. On the blackboard vectors will usually have an arrow above the letter. In print we will
−
→
often drop the arrow and just use the bold face to indicate a vector, i.e. P ≡ P.
7. A real number is a scalar, you can use it to scale a vector.
Vector algebra using coordinates
For the vectors A = a1i + a2j and B = b1i + b2j we have the following algebraic rules. The
figures below connect these rules to the geometric viewpoint.
Magnitude: |A| = a2
1 + a2 (this is just the Pythagorean theorem)
2
Addition: A + B = (a1 + b1)i + (a2 + b2)j, that is, (a1, a2) + (b1, b2) = (a1 + b1, a2 + b2)
Subtraction: A−B = (a1 −b1)i+(a2 −b2)j, that is, (a1, a2)−(b1, b2) = (a1 −b1, a2 −b2)
b1
a1
B
b2
a1
//
//
a2 − b2
/
//
/
/ A + B a2 + b2 A
/
a2 //
A
// a2 A − B
/
/
/ a1 − b1
/
/
/ b2
/
// B
/
/
/
a1 + b1 b1
−
−
→ → → −
−
→
− −
For two points P and Q the vector PQ = Q − P i.e., PQ is the displacement from P to Q.
•Q = (q1, q2)
y
y
−
−
→
PQ
Q •P = (p1, p1)
P
x
O
Vectors in three dimensions
We represent a three dimensional vector as an arrow in space. Using coordinates we need
three numbers to represent a vector.
z
y
A = (a1, a2, a3) / (a1, a2, a3)
/
/
/
A//
/
/
/
/
/
/ y
x
Geometrically nothing changes for vectors in three dimensions. They are scaled and added
exactly as above.
3
3
4. Algebraically the origin vector A = ha1, a2, a3i starts at the origin and extends to the point
(a1, a2, a3). We have the special vectors i = h1, 0, 0i, j = h0, 1, 0i, k = h0, 0, 1i. Using
them
ha1, a2, a3i = a1i + a2j + a3k.
Then, for A = ha1, a2, a3i and B = hb1, b2, b3i we have
ha1, a2, a3i + hb1, b2, b3i = ha1 + b1, a2 + b2, a3 + b3i.
exactly as in the two dimensional case.
Magnitude in three dimensions also follows from the Pythagorean theorem.
|a1i + a2j + a3k| = |ha = 2
1, a2, a3i|
q
a1 + a2
2 + a2
3
You can see this in the figure below, where r = a2 2
1 + a2 and |A| = r2 + a2 2 2 2
3 = a1 + a2 + a3.
p p p
z
t
t
t
t
t
t
t
t
t
t a
xt 2
y
(a1, a2, a3)
|A|
a3
a1
O
O
O
O
O
O
O
O
O
r
zz
Unit vectors
A unit vector is any vector with unit length. When we want to indicate that a vector is a
unit vector we put a hat (circumflex) above it, e.g., u.
The special vectors i, j and k are unit vectors.
Since vectors can be scaled, any vector can be rescaled
b
to be a unit vector.
Example: Find a unit vector that is parallel to h3, 4i.
1 3 4
Answer: Since |h3, 4i| = 5 the vector h3, 4i =
,
5
has unit length and is parallel to
5 5
h3, 4i.
//
OO
??
4
5. Vector problems
1. a) A river flows at 3 mph and a rower rows at 6 mph. What heading should the rower
take to go straight across a river?
b) Answer the same question if the river flows at 6 mph and the rower rows at 3 mph.
2. Find a unit vector in the direction of �2, 3�.
3. Use vectors to prove that the diagonals of a parallelogram bisect each other.
4. Prove using vector methods that the midpoints of the sides of a space quadrilateral
form a parallelogram
6. Vector problems
1. a) A river flows at 3 mph and a rower rows at 6 mph. What heading should the rower
take to go straight across a river?
b) Answer the same question if the river flows at 6 mph and the rower rows at 3 mph.
Answer:
� �
boat = 6
river = 3
net velocity
θ
a) Let θ be the angle the rower heads upstream from straight across the river.
The net velocity is the sum of the river and the rower’s velocities. If the net velocity is
straight across then the triangle shown is a right triangle which implies
3
sin(θ) = ⇒ θ = 30◦
= π/6
6
Answer: Head at angle of 30◦ (π/6 radians) upstream from straight across.
b) In this case we need sin(θ) = 6
. Since this is impossible (sin(θ)
3 ≤ 1) we conclude no
heading will work.
This makes sense because the river flows faster than the rower rows, so the boat will be
pushed downstream no matter what the heading.
2. Find a unit vector in the direction of �2, 3�.
Answer: To get a unit vector we scale the original vector by one over its length.
2, 3 2 3
u =
� �
√ =
13
√ ,
13
√
13
is a unit vector parallel to the original
�
vector.
3. Use vectors to prove that the diagonals of a parallelogram bisect each other.
Answer:
A B
C
D
�� ����
7. We need to show that the two diagonals intersect at their mutual midpoints. Said differently
we need to show that the midpoints of AC and BD are, in fact, the same point.
Let M1 be the midpoint of AC and M2 be the midpoint of BD. Rephrasing our goal yet
again, we will show M1 = M2 by showing
−
AM
−
−
→
1 = AM
−
−
−
→
2.
Now, using vectors we have
−
−
−
→ 1
AM1 = A
−
−
→
C
2
We need to use the fact that ABCD is a parallelogram. From this we get
− 1 1
AB
−
→
=
−
DC
−
→ 1 1
−
AB
−
→
=
−
AB
−
→ −
⇒ + AB
−
→
= AB
−
−
→
+
−
DC
−
→
2 2 2 2
We use this to write AM
−
−
−
→
2 in terms of A, B, C, D.
−
AM
−
−
→
2 =
−
AB
−
→ 1− 1 1 1 1 1
+ BD
−
→
=
−
AB
−
→
+
−
DC
−
→
+
−
BD
−
→
= (
−
AB
−
→
+
−
BD
−
→
+ DC
−
−
→
) = A
−
−
→
C
2 2 2 2 2 2
We have shown
−
AM
−
−
→
1 = AM
−
−
−
→
2, so we are done.
4. Prove using vector methods that the midpoints of the sides of a space quadrilateral
form a parallelogram
Answer: Let A, B, C, D be the four sides; then if the vectors are oriented as shown in
the figure below we have A + B = C + D.
1 1
The vector from the midpoint of A to the midpoint of C is C − A; similarly the vector
2 2
1 1
joining the midpoints of the other two sides is B − D. Then
2 2
1 1
A + B = C + D ⇒ C − A = B − D ⇒ (C − A) = (B .
2
− D)
2
Thus two opposite sides are equal and parallel, which shows the figure is a parallelogram.
A
B
D
C
Some note about finding these proofs:
1. You need to use the hypotheses. For example, in this problem a key step made use of
the fact that ABCD is a parallelogram.
2. You should not expect to see the proofs immediately. Rather you will generally need to
play around with the figure.
3. After arriving at a proof you should see if you can clean it up or simplify it.
8. Force is a vector
•
��
20000
��
F
Barge
Tug
Tug
40◦
35◦
1. The picture shows two tugs pulling a barge. If one pulls with 20000 Newtons of force
what force should the other tug pull with to keep the barge going straight to the right.
Answer: We need the vertical components of the forces to cancel.
20000 sin(40◦)
So, 20000 sin(40◦) = F sin(35◦) ⇒ F =
sin(35◦)
≈ 22413.32.
9. � � � � � �
Proofs using vectors
1. The median of a triangle is a vector from a vertex to the midpoint of the opposite side.
Show the sum of the medians of a triangle = 0.
Answer: The median of side AB is the vector from vertex C to the midpoint of AB. Label
this midpoint as P. As usual we write P for the origin vector
−
−
→
OP.
−
−
→
CP =
1
2(A + B)
1
The midpoint P =
(B + A) − C.
⇒
2
Likewise:
−
−
→
BQ = (A + C) − B and
−
−
→
AR =
1
2
1
2(B + C) − A.
sum of medians is
⇒
−
−
→
BQ +
−
−
→ 1
(B + A) − C +
1
(A + C) − B +
1
(B + C) − A = 0.
CP +
−
−
→
AR =
2 2 2
C
•
•
•
A
B
P
R
Q
��
��
��
10.
11.
12.
13.
14. ��
����
Dot Product
The dot product is one way of combining (“multiplying”) two vectors. The output is a
scalar (a number). It is called the dot product because the symbol used is a dot. Because
the dot product results in a scalar it, is also called the scalar product.
As with most things in 18.02, we have a geometric and algebraic view of dot product.
Algebraic definition (for 2D vectors):
If A = (a1, a2) and B = (b1, b2) then
A · B = a1b1 + a2b2.
Example: (6, 5) · (1, 2) = 6 · 1 + 5 · 2 = 16.
Geometric view:
The figure below shows A, B with the angle θ between them. We get
A · B = |A||B| cos θ
L
L
L
L
L
L
L
L
L
L
L
L
A A A − B
B
θ θ
L
L
L
L
L
L
L
L
L
L
B
Showing the two views (algebraic and geometric) are the same requires the law of cosines
|A − B|2
= |A|2
+ |B|2
− 2|A||B| cos θ
2 2
⇒ (a1 + a2) + (b1
2 + b2
2) − ((a1 − b1)2 + (a2 − b2)2) = 2|A||B| cos θ
⇒ a1b1 + a2b2 = |A||B| cos θ.
Since (a1, a2) · (b1, b2) = a1b1 + a2b2, we have shown A · B = |A||B| cos θ.
From the algebraic definition of dot product we easily get the the following algebraic law
A · (B + C) = A · B + A · C.
Example: Find the dot product of A and B.
i) |A| = 2, |B| = 5, θ = π/4.
√ √
Answer: (draw the picture yourself) A · B = |A||B| cos θ = 10 2/2 = 5 2.
ii) A = i + 2j, B = 3i + 4j.
Answer: A · B = 1 · 3 + 2 · 4 = 11.
Three dimensional vectors
The dot product works the same in 3D as in 2D. If A = (a1, a2, a3) and B = (b1, b2, b3)
then
A · B = a1 · b1 + a2 · b2 + a3 · b3.
The geometric view is identical and the same proof shows
A · B = |A||B| cos θ
1
15. ������������
Example:
Show A = (4, 3, 6), B = (−2, 0, 8), C = (1, 5, 0)
are the vertices of a right triangle.
−
−
→ −
−
→
Answer:
−
−
→ −
−
→
Two legs of the triangle are AC = (−3, 2, −6) and AB = (−6, −3, 2) ⇒
AC · AB = 18 − 6 − 12 = 0. The geometric view of dot product implies the angle between
the legs is π/2 (i.e cos θ = 0).
•
� B
z
��
A•
y
•C
x
Definition of the term orthogonal and the test for orthogonality
When two vectors are perpendicular to each other we say they are orthogonal.
As seen in the example, since cos(π/2) = 0, the dot product gives a test for orthogonality
between vectors:
A ⊥ B ⇔ A · B = 0.
Dot product and length
Both the algebraic and geometric formulas for dot product show it is intimately connected
to length. In fact, they show for a vector A
A · A = |A|2
.
Let’s show this using both views.
Algebraically: suppose A = (a1, a2, a3) then
2 2 2
A · A = (a1, a2, a3) · (a1, a2, a3) = a1 + a2 + a = |A|2
.
3
Geometrically: the angle θ between A and itself is 0. Therefore,
A · A = |A||A| cos θ = |A||A| = |A|2
.
As promised both views give the formula.
2
16. Dot product problems
1. a) Compute �1, 2, −4� · �2, 3, 5�.
b) Is the angle between these two vectors acute, obtuse or right?
2. Suppose B = �2, 2, 1�. Suppose also that B makes an angle of 30◦ with A and A·B = 6.
Find |A|.
3. If A · B = 0 what is the angle between A and B?
17. Dot product problems
1. a) Compute �1, 2, −4� · �2, 3, 5�.
b) Is the angle between these two vectors acute, obtuse or right?
Answer: a) �1, 2, −4� · �2, 3, 5� = 1 · 2 + 2 · 3 − 4 · 5 = −12.
b) Let θ be the angle between the vectors. Since the dot product is negative we have
cos θ 0, which means θ π/2. The angle is obtuse.
2. Suppose B = �2, 2, 1�. Suppose also that B makes an angle of 30◦ with A and A·B = 6.
Find |A|.
Answer: Since 300 = π/6 radians and |B| = 3 we get
√
3 4
6 = A · B = |A||B| cos(π/6) = |A| · 3 · ⇒ |A| =
2
√ .
3
3. If A · B = 0 what is the angle between A and B?
Answer: π/2.
18.
19.
20.
21. Uses of dot product
1. Find the angle between i + j + 2k and 2i − j + k.
Answer: We call the angle θ and use both ways of computing the dot product.
Algebraically we have
(i + j + 2k) (2i − j + k) = 2 − 1 + 2 = 3.
·
Geometrically
(i + j + 2k) · (2i − j + k) = |i + j + 2k| · |2i − j + k| cos θ =
√
6
√
6 cos θ.
Combining these two we have
3 1 π
6 cos θ = 3 cos θ = = θ = .
⇒
6 2
⇒
3
2. a) Are �1, 3� and �−2, 2� orthogonal?
b) For what value of a are the vectors �1, a� and �2, 3� at right angles?
c) In the figure the vectors A and B1 are orthogonal as are A and B2. If all the vectors
are the same length what are the coordinates of B1 and B2?
A = �a1, a2�
B2
B1
Answer: a) Vectors are orthogonal if their dot product is 0. So, taking the dot product
�1, 3� · �−2, 2� = −2 + 6 = 4 = 0
� .
Thus the vectors are not orthogonal.
b) Setting the dot product to 0 and solving for a we get
�1, a� · �2, 3� = 2 + 3a = 0 a = −2/3.
⇒
c) B1 is A rotated 90◦ clockwise. We will show that B1 = �a2, −a1�. It is easy to check that
|�a2, −a1�| = |A| and �a2, −a1� · A = 0. The figure above shows that putting the negative
sign on the a1 means �a2, −a1� is turned clockwise from A. Thus, �a2, −a1� = B1.
B2 is A rotated 90◦ counterclockwise. Similarly to B1, we find B2 = �−a2, a1�.
22. B
C
D
A
3. Using vectors and dot product show the diagonals of a parallelogram have equal lengths
if and only if it’s a rectangle
Answer:
We will make use of two properties of the dot product
1. v · v = |v|2.
2. v w = 0 v ⊥ w.
· ⇔
Referring to the figure, we will also need to use the fact that ABCD is a parallelogram.
That is,
−
−
→
DC.
AB =
−
−
→
We have
−
−
→
AB +
−
−
→
and BD =
−
−
→
CD =
−
−
→
AB.
AC =
−
−
→
BC
−
−
→
BC +
−
−
→
BC −
−
−
→
Taking dot products:
2 2
|
−
−
→
AC| =
−
−
→
·
−
−
→
AB +
−
−
→
· (
−
−
→
BC) = |
−
−
→
|2
+ 2
−
−
→
·
−
−
→
BC|
AC AC = (
−
−
→
BC) AB +
−
−
→
AB AB BC + |
−
−
→
.
and
2 2 2
|
−
−
→
BD| =
−
−
→
·
−
−
→
BC −
−
−
→
· (
−
−
→
AB) = |
−
−
→
| − 2
−
−
→
·
−
−
→
|
−
−
→
|
BD BD + (
−
−
→
AB) BC −
−
−
→
BC BC AB + AB
Comparing the two equations above we see
2 2
|
−
−
→
| = |BD| ⇔ AB · BC = 0.
AC
−
−
→
4
−
−
→ −
−
→
This shows the diagonals have the same length if and only if
−
−
→
BC.
AB ⊥
−
−
→
That is, if and
only if the sides of the parallelogram are orthogonal to each other. QED
23. Uses of the Dot Product
1. Find the angle between the vectors A = i + 8j and B = i + 2j.
2. Take points P = (a, 1, −1), Q = (0, 1, 1), R = (a, −1, 3). For what value(s) of a is PQR
a right angle?
3. Show that the diagonals of a parallelogram are perpendicular if and only if it is a
rhombus, i.e., its four sides have equal lengths.
24. Uses of the Dot Product
1. Find the angle between the vectors A = i + 8j and B = i + 2j.
Answer: As usual, call the angle in question θ. Since A · B = |A||B| cos θ we have
A · B (1, 8) · (1, 2
√ √
) 17
cos θ = = =
65 5 5
√
|A||B| 13
Th θ =
us, cos−1
�
17
�
√ .
5 13
2. Take points P = (a, 1, −1), Q = (0, 1, 1), R = (a, −1, 3). For what value(s) of a is PQR
a right angle?
Answer: We need
−
QP
−
→ −
QR
−
→
· = 0 ⇒ (a, 0, −2) · (a, −2, 2) = a2 − 4 = 0 ⇒ a = ±2.
3. Show that the diagonals of a parallelogram are perpendicular if and only if it is a
rhombus, i.e., its four sides have equal lengths.
Answer: Let two adjacent sides of the parallelogram be the vectors A and B (as shown in
the figure). Then we have the two diagonals are A + B and A − B. We have
(A + B) · (A − B) = A · A − B · B.
Therefore,
(A + B) · (A − B) = 0 ⇔ A · A = B · B.
I.e., the diagonals are perpendicular if and only if two adjacent edges have equal lengths.
In other words, if the parallelogram is a rhombus.
B
A
25.
26.
27.
28.
29.
30. Components and Projection
If A is any vector and u
u is a unit vector then the component of A in the direction of u
u is
A · u
u.
(Note: the component is a scalar.)
If θ is the angle between A and u
u then since |u
u| = 1
A · u
u = |A||u
u| cos θ = |A| cos θ.
The figure shows that geometrically this is the length of the leg of the right triangle with
hypotenuse A and one leg parallel to u
u.
A
θ |A| cos θ
u
u
We also call the leg parallel to u
u the orthogonal projection of A on u
u.
For a non-unit vector: the component of A in the direction of B is simply the component
B
of A in the direction of u
u = |B| . (u
u is the unit vector in the same direction as B.)
Example: Find the component of A in the direction of B.
i) |A| = 2, |B| = 5, θ = π/4.
√
Answer: Referring to the figure above: the component is |A| cos θ = 2 cos(π/4) = 2.
Note, the length of B given is irrelevant, since we only care about the unit vector parallel
to B.
ii) A = i + 2j, B = 3i + 4j.
Answer: Unit vector in direction of B is
3/5 + 8/5 = 11/5.
B
|B| =
3
5i +
4
5j
⇒ component is A · B/|B|
=
iii) Find the component of A = (2, 2) in the direction of u
u = (−1, 0)
Answer: The vector u
u is a unit vector, so the component is A·u
u = (2, 2)·(−1, 0) = −2. The
negative component is okay, it says the projection of A and u
u point in opposite directions.
A
θ
u
u
We emphasize one more time that the component of a vector is a scalar.
31. Vector Components
1. a) Let A = (1, 3) and B = (3, 4).
(i) Find the component of A in the direction of B.
(ii) Find the component of B in the direction of A.
b) Let A = (3, 5, 7) and B = (3, 4, 0). Find the component A in the direction of B.
2. Let A = (a, 2) and B = (1, 3). For what values of a is the component of A along B
equal to 0? For what a is it negative?
3. For which angle θ is the component of A in the direction of B equal to 0.
A
θ
B
32. Vector Components
1. a) Let A = (1, 3) and B = (3, 4).
(i) Find the component of A in the direction of B.
(ii) Find the component of B in the direction of A.
b) Let A = (3, 5, 7) and B = (3, 4, 0). Find the component A in the direction of B.
B 3, 4 15
Answer: a) (i) |B| = 5 ⇒ the component is A · = (1, 3) ·
( )
= = 3.
|B| 5 5
A 1, 3 15
(ii) |A| =
√
10 ⇒ B · = (3, 4
( )
) · √ = √ .
|A| 10 10
B 3, 4, 0 29
b) In three dimensions the formula is the same. The component is A = 3, 5, 7
( )
· = .
|B|
( ) ·
5 5
2. Let A = (a, 2) and B = (1, 3). For what values of a is the component of A along B
equal to 0? For what a is it negative?
1, 3 a + 6
Answer: The component is
( )
(a, 2) · √ =
10
√ .
10
This is 0 if a = −6.
This is negative if a −6.
3. For which angle θ is the component of A in the direction of B equal to 0.
A
θ
B
Answer: θ = π/2.
33.
34.
35.
36. Areas and Determinants
1. Compute
6 5
1 2
6 5
Answ
.
er:
1 2
= 6 · 2 − 5 · 1 = 7.
2. Compute the area of the parallelogram shown.
y
x
(1, 0)
(2, 3)
(−1, 2)
Answer: The area is given by the determinant of the vectors determining the parallelogram.
y
x
A = 1, 3
B = −2, 2
Area = | det(A, B)| =
1 3
det
=
2 + 6 = 8.
−2 2
3.
Find the area of the triangle with vertices (0, 0), (−2, 2) and (1, 3).
1 1 3
Answer: The triangle is half a parallelogram. So the area is
−2 2
=
y
x
O
(1, 3)
1, 3
(−2, 2)
−2, 2
det
2.
2
37. Determinants and areas
�
�
� 1 2
1. a) Compute
3 4
�
�
.
Compute
� �
b)
�
�
� �
c) Compute
�
� 1
−2
3 4
�
.
−
�
3
4
�
�
�
�
.
1 2
�
�
�
2. Find the area of
�
�
the quadrilateral shown.
y
x
(1, 2)
(4, 3)
(3, −1)
38. Determinants and areas
1. a) Compute
�
�
1
.
b) Compute
� 2
�
�
�
�
�
�
�
3 4
1 −2
.
− 4
�
�
�
3
�
�
� 3 4
�
c) Compute
�
�
�
�
�
.
�
�
Answer: a)
�
�
1 2
�
b)
�
� 1 2
= 1 4 −
�
�
�
�
4
· 2 · 3 = −2.
3
�
� 1
−2
= 1 4 − (
4
· −2) · (−3) = −2.
−3
�
�
c)
�
�
�
�
�
� 3 4
−
�
�
�
�
�
= 3 · 2 4 · 1 = 2.
1 2
2. Find the area of the quadrilateral shown.
y
x
�
� �
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
(4, 3)
(1, 2)
(3, −1)
Answer:
x
y
O
A
B
C
�1, 2�
�3, −1�
�4, 3�
We break the quadrilateral into two triangles. For convenience, on the figure, we have
labeled the vertices OABC and indicated the components of
−
O
−
→
A, OB
−
−
→
and
−
OC
−
→
.
1
1 2
1 5
Area �OAB
=
det
=
| − 5| =
.
2
4 3
2 2
1
4 3
1 13
Area �OBC
=
det
=
13
= .
2
3 −1
2
| − |
2
18
Thus, area of quadrilateral OABC = = 9.
2
39.
40.
41.
42.
43. �
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
�
Cross Product
The cross product is another way of multiplying two vectors. (The name comes from the
symbol used to indicate the product.) Because the result of this multiplication is another
vector it is also called the vector product.
As usual, there is an algebraic and a geometric way to describe the cross product. We’ll
define it algebraically and then move to the geometric description.
Determinant definition for cross product
For the vectors A = �a1, a2, a3� and B = �b1, b2, b3� we define the cross product by the
following formula
i j k
a1 a2 a3
b1 b2 b3
=
A × B
a2 a3
b2 b3
− j
a1 a3
b1 b3
+ k
a1 a2
b1 b2
i
=
= (a2b3 − a3b2)i + (a3b1 − a1b3)j + (a1b2 − a2b1)k
= �a2b3 − a3b2, a3b1 − a1b3, a1b2 − a2b1�.
The bottom three equations above are easily seen to be equivalent and should be taken as
the definition of the cross product. The top line is technically flawed because we are not
really allowed to use vectors as entries in a determinant. Nonetheless is is an excellent way
to remember how to compute the cross product.
�
�
�
�
�
�
i j k
2 3
Example:
2 3 0
k = −13 k
=
3 −2
3 −2 0
Example: Compute i × j.
Answer: i = �1, 0, 0� and j = �0, 1, 0� therefore
i j k
1 0 0
i × j =
= i(0) − j(0) + k(1) = k.
0 1 0
Algebraic facts: (these follow easily from properties of determinant).
1. A × A = 0
2. Anti-commutivity: A × B = −B × A
3. Distributive law: A × (B + C) = A × B + A × C
4. Non-associativity: (A × B) × C =
� A × (B × C) (example in a moment).
For the unit vectors i, j, k we have
i × j = k, j × k = i, k × i = j.
Example: (non-associativity) (i × j) × j = −i but i × (j × j) = 0.
44. �
�
�
�
�
�
�
Example: It is possible to compute a cross product using the algebraic facts and the known
products of i, j and k. For example,
(2i + 3j) × (3i − 2j) = (6i × i) − (4i × j) + (9j × i) − (6j × j) = −13k.
The first equation follows from the distributive law. In the second, we used i × i = j × j = 0
(algebraic fact 1), i × j = k (computed above) and j × i = −k (anti-commutivity).
Geometric description
To describe the cross product geometrically we need to describe its magnitude and direction.
This is done in the following theorem.
Theorem: The magnitude of A × B is
|A × B| = |A||B| sin θ, where θ is the angle between them
= area of the parallelogram spanned by A and B.
The direction of A × B is determined as follows.
A × B is perpendicular to the plane of A and B. In the figure below there are two
directions perpendicular to the plane –up and down. The choice is made by the
right hand rule. This rule says to take your right hand and point your fingers in the
direction of A so that they curl towards B; then your thumb points in the direction
of A × B.
A × B
|A × B| = area = |A||B| sin θ
A
B
dir. A × B from the right hand rule
θ
We will not go through the proof of this theorem. It makes use of the Lagrange identity
|A × B|2
= |A|2
|B|2
− (A · B)2
.
This identity is easily show by expanding both sides using components.
Example: Find the area of the triangle shown.
x
y
z
(1, 2, 4)
(0, 5, 1)
O
Answer:
The area of the triangle is half the area of the parallelogram (see figure).
So, area triangle =
1
2
|�1, 2, 4� × �0, 5, 1�|.
�
�
�
�
�
�
2 2
x
y
z
�1, 2, 4�
�0, 5, 1�
i j k
�1, 2, 4� × �0, 5, 1� =
1 2 4
= i(−18) − j + 5k.
0 5 1
1
1
182 + 12 + 52 =
√
350.
Area triangle
=
DON’T FORGET THE GEOMETRY -it will be used to solve problems.
45. Cross product
1. a) Compute �1, 3, 1� × �2, −1, 5�.
b) Compute (i + 2j) × (2i − 3j).
2. Find the area of the parallelogram shown.
z
y
(3,1,6)
(2,5,2)
(1,2,1)
x
46. Cross product
1. a) Compute �1, 3, 1� × �2, −1, 5�.
b) Compute (i + 2j) × (2i − 3j).
Answer: a) We use the determinant method:
�1, 3, 1� × �2, −1, 5� =
�
�
� i j k
�
� 1 3 1
�
�
�
�
� = i(16) − j(3) + k(−7) = � − − �
b) Using determinants we get
�
16, 3, 7
�
2 −1 5
�
�
� i j k
(i + 2j) × (2i − 3j) =
�
�
� 1 2 0
�
�
�
�
= i(0) − j(0) + − −
Multiplying directly and using i ×
� 2 �
k( 7) = 7k.
−3 0
j = k etc we get
(i + 2j) × (2i − 3j) = i × i − 3i × j + 4j × i − 6j × j = 0 − 3k − 4k − 6 · 0 = −7k.
2. Find the area of the parallelogram shown.
z
x
y
(3,1,6)
(2,5,2)
(1,2,1)A
B
Answer: The area is |A × B|, where A and B are the vectors along two adjacent edges of
the parallelogram. These vectors are
A = �2, 5, 2� − �1, 2, 1� = �1, 3, 1� and B = �3, 1, 6� − �1, 2, 1� = �2, −1, 5�.
We computed this cross product in problem (1a). So,
area = |�16,
√ √
−3, −7�| = 256 + 9 + 49 = 314.
47.
48.
49.
50.
51.
52. Equation of a Plane
1. Later we will return to the topic of planes in more detail. Here we will content ourself
with one example.
Find the equation of the plane containing the three points P1 = (1, 3, 1), P2 = (1, 2, 2),
P3 = (2, 3, 3).
Answer:
The
−
−
−
→ −
− →
vectors P1P2 and P1
−
P3 are in the plane, so
i j k
−
−
−
→
N = P1P2 P
−
−
1
−
P
→
× 3 =
0
−1
1
= i(−2) − j(−1) + k(1) = (−2, 1, 1).
1 0 2
is orthogonal to the plane.
Now for any point P = (x, y, z) in the plane, the vector P
−
−
1
→
P is also in the plane and is
therefore orthogonal to N. Expressing this with the dot product we get
−
−
→
N · P1P = 0
⇔ (−2, 1, 1) · (x − 1, y − 3, z − 1) = 0
⇔ −2(x − 1) + (y − 3) + (z − 1) = 0
⇔ −2x + y + z = 2.
P2
P = (x, y, z)
N
P3
P1
The equation of the plane is −2x + y + z = 2. You should check that the three points P1,
P2, P3 do, in fact, satisfy this equation.
The standard terminology for the vector N is to call it a normal to the plane.
53. Equation of a plane
1. Find the equation of the plane containing the three points P1 = (1, 0, 1), P2 = (0, 1, 1),
P3 = (1, 1, 0).
54. Equation of a plane
1. Find the equation of the plane containing the three points P1 = (1, 0, 1), P2 = (0, 1, 1),
P3 = (1, 1, 0).
Answer: This problem is identical (with changed numbers) to the worked example we just
saw.
The vectors P
−
−
1
−
P
→
2 and P
−
−
1
−
P
→
3 are in the plane, so
i j k
N = P
−
−
1
−
P
→
2 P
−
−
× 1
−
P
→
3 =
� �
�
�
�
� −
�
1 1 0
�
�
�
�
�
= i( 1) j(1) + k( 1) = 1, 1, 1 .
−
−
− − − �− − �
0 1 1
is orthogonal to the plane.
Now for any point P = (x, y, z) in the plane, the vector P
−
−
1
→
P is also in the plane and is
therefore orthogonal to N. Expressing this with the dot product we get
N
−
P
−
→
· 1P = 0
⇔ �−1, −1, − · � P
1� x − 1, y, z − 1� = 0 2
N P = (x, y, z)
⇔ −(x − 1) − y − (z − 1) = 0
⇔ x + y + z = 2. P3
P1
55.
56.
57. Exercises
1. Vectors and Matrices
1A. Vectors
Definition. A direction is just a unit vector. The direction of A is defined by
A
dir A = , (A = 0);
|A|
�
it is the unit vector lying along A and pointed like A (not like −A).
1A-1 Find the magnitude and direction (see the definition above) of the vectors
a) i + j + k b) 2 i − j + 2 k c) 3 i − 6 j − 2 k
1A-2 For what value(s) of c will 1
5 i − 1
5 j + c k be a unit vector?
1A-3 a) If P = (1, 3, −1) and Q = (0, 1, 1), find A = PQ, |A|, and dir A.
b) A vector A has magnitude 6 and direction ( i + 2 j − 2 k )/3. If its tail is at
(−2, 0, 1), where is its head?
1A-4 a) Let P and Q be two points in space, and X the midpoint of the line segment PQ.
Let O be an arbitrary fixed point; show that as vectors, OX = 1
2 (OP + OQ) .
b) With the notation of part (a), assume that X divides the line segment PQ in
the ratio r : s, where r + s = 1. Derive an expression for OX in terms of OP and OQ.
1A-5 What are the i j -components of a plane vector A of length 3, if it makes an angle
of 30o
with i and 60o
with j . Is the second condition redundant?
1A-6 A small plane wishes to fly due north at 200 mph (as seen from the ground), in a
wind blowing from the northeast at 50 mph. Tell with what vector velocity in the air it
should travel (give the i j -components).
1A-7 Let A = a i + b j be a plane vector; find in terms of a and b the vectors A′
and A′′
resulting from rotating A by 90o
a) clockwise b) counterclockwise.
(Hint: make A the diagonal of a rectangle with sides on the x and y-axes, and rotate the
whole rectangle.)
′ ′
c) Let i = (3 i + 4 j )/5. Show that i is a unit vector, and use the first part of the
′ ′ ′
exercise to find a vector j such that i , j forms a right-handed coordinate system.
1A-8 The direction (see definition above) of a space vector is in engineering practice often
given by its direction cosines. To describe these, let A = a i + b j + c k be a space vector,
represented as an origin vector, and let α, β, and γ be the three angles (≤ π) that A makes
respectively with i , j , and k .
a) Show that dir A = cos α i + cos β j + cos γ k . (The three coefficients are
called the direction cosines of A.)
b) Express the direction cosines of A in terms of a, b, c; find the direction cosines
of the vector − i + 2 j + 2 k .
c) Prove that three numbers t, u, v are the direction cosines of a vector in space if
and only if they satisfy t2
+ u2
+ v2
= 1.
1
58. 2 EXERCISES
1A-9 Prove using vector methods (without components) that the line segment joining the
midpoints of two sides of a triangle is parallel to the third side and half its length. (Call the
two sides A and B.)
1A-10 Prove using vector methods (without components) that the midpoints of the sides
of a space quadrilateral form a parallelogram.
1A-11 Prove using vector methods (without components) that the diagonals of a parallel
ogram bisect each other. (One way: let X and Y be the midpoints of the two diagonals;
show X = Y .)
1A-12* Label the four vertices of a parallelogram in counterclockwise order as OPQR.
Prove that the line segment from O to the midpoint of PQ intersects the diagonal PR in a
point X that is 1/3 of the way from P to R.
(Let A = OP, and B = OR; express everything in terms of A and B.)
1A-13* a) Take a triangle PQR in the plane; prove that as vectors PQ + QR + RP = 0.
b) Continuing part a), let A be a vector the same length as PQ, but perpendicular
to it, and pointing outside the triangle. Using similar vectors B and C for the other two
sides, prove that A + B + C = 0. (This only takes one sentence, and no computation.)
1A-14* Generalize parts a) and b) of the previous exercise to a closed polygon in the
plane which doesn’t cross itself (i.e., one whose interior is a single region); label its vertices
P1, P2, . . . , Pn as you walk around it.
1A-15* Let P1, . . . , Pn be the vertices of a regular n-gon in the plane, and O its center;
show without computation or coordinates that OP1 + OP2 + . . . + OPn = 0,
a) if n is even; b) if n is odd.
1B. Dot Product
1B-1 Find the angle between the vectors
a) i − k and 4 i + 4 j − 2 k b) i + j + 2 k and 2 i − j + k .
1B-2 Tell for what values of c the vectors c i + 2 j − k and i − j + 2 k will
a) be orthogonal b) form an acute angle
1B-3 Using vectors, find the angle between a longest diagonal PQ of a cube, and
a) a diagonal PR of one of its faces; b) an edge PS of the cube.
(Choose a size and position for the cube that makes calculation easiest.)
1B-4 Three points in space are P : (a, 1, −1), Q : (0, 1, 1), R : (a, −1, 3). For what
value(s) of a will PQR be
a) a right angle b) an acute angle ?
1B-5 Find the component of the force F = 2 i − 2 j + k in
a) the direction
i +
√
j
3
− k
b) the direction of the vector 3 i + 2 j − 6 k .
59. 3
1. VECTORS AND MATRICES
1B-6 Let O be the origin, c a given number, and u a given direction (i.e., a unit vector).
Describe geometrically the locus of all points P in space that satisfy the vector equation
OP u = c OP .
· | |
In particular, tell for what value(s) of c the locus will be (Hint: divide through by OP ):
| |
a) a plane b) a ray (i.e., a half-line) c) empty
1B-7 a) Verify that i ′
=
i + j
and j ′
=
− i + j
are perpendicular unit vectors that
√
2
√
2
form a right-handed coordinate system
b) Express the vector A = 2 i − 3 j in the i ′
j ′
-system by using the dot product.
′ ′
c) Do b) a different way, by solving for i and j in terms of i and j and then
substituting into the expression for A.
′ i + j + k ′ i − j ′ i + j − 2 k
1B-8 The vectors i = √
3
, j = √
2
, and k = √
6
are three mutually
perpendicular unit vectors that form a right-handed coordinate system.
a) Verify this. b) Express A = 2 i + 2 j − k in this system (cf. 1B-7b)
1B-9 Let A and B be two plane vectors, neither one of which is a multiple of the other.
Express B as the sum of two vectors, one a multiple of A, and the other perpendicular to
A; give the answer in terms of A and B.
(Hint: let u = dir A; what’s the u-component of B?)
1B-10 Prove using vector methods (without components) that the diagonals of a parallel
ogram have equal lengths if and only if it is a rectangle.
1B-11 Prove using vector methods (without components) that the diagonals of a parallel
ogram are perpendicular if and only if it is a rhombus, i.e., its four sides are equal.
1B-12 Prove using vector methods (without components) that an angle inscribed in a
semicircle is a right angle.
1B-13 Prove the trigonometric formula: cos(θ1 − θ2) = cos θ1 cos θ2 + sin θ1 sin θ2.
(Hint: consider two unit vectors making angles θ1 and θ2 with the positive x-axis.)
1B-14 Prove the law of cosines: c2
= a2
+ b2
− 2ab cos θ by using the algebraic laws for
the dot product and its geometric interpretation.
1B-15* The Cauchy-Schwarz inequality
a) Prove from the geometric definition of the dot product the following inequality
for vectors in the plane or space; under what circumstances does equality hold?
(*) A B A B .
| · | ≤ | || |
b) If the vectors are plane vectors, write out what this inequality says in terms of
i j -components.
60. � � � �
� � � �
� �
� �
� �
� �
� �
� �
� �
4 EXERCISES
c) Give a different argument for the inequality (*) as follows (this argument gener
alizes to n-dimensional space):
i) for all values of t, we have (A + tB) (A + tB) ≥ 0 ;
·
ii) use the algebraic laws of the dot product to write the expression in (i) as a qua
dratic polynomial in t ;
iii) by (i) this polynomial has at most one zero; this implies by the quadratic formula
that its coefficients must satisfy a certain inequality — what is it?
1C. Determinants
1C-1 Calculate the value of the determinants a) �
�
2
1 4
�
� b) �
� 3 −4
�
�
−1 −1 −2
� 0 4 �
� −1 �
1C-2 Calculate 1 2 2 using the Laplace expansion by the cofactors of:
� 3 −2 −1 �
a) the first row b) the first column
1C-3 Find the area of the plane triangle whose vertices lie at
a) (0, 0), (1, 2), (1, −1); b) (1, 2), (1, −1), (2, 3).
� 1 1 1 �
1C-4 Show that x1 x2 x3 = (x1 − x2)(x2 − x3)(x3 − x1).
2 2 2
1 2 3
� x x x �
(This type of determinant is called a Vandermonde determinant.)
1C-5 a) Show that the value of a 2 × 2 determinant is unchanged if you add to the second
row a scalar multiple of the first row.
b) Same question, with “row” replaced by “column”.
1C-6 Use a Laplace expansion and Exercise 5a to show the value of a 3 × 3 determinant is
unchanged if you add to the second row a scalar multiple of the third row.
1C-7 Let (x1, y1) and (x2, y2) both range over all unit vectors. � �
Find the maximum value of the function f(x1, x2, y1, y2) =
�
�
�
x1
x2
y1
y2
�
�
� .
1C-8* The base of a parallelepiped is a parallelogram whose edges are the vectors b and
c, while its third edge is the vector a. (All three vectors have their tail at the same vertex;
one calls them “coterminal”.)
a) Show that the volume of the parallelepiped abc is ±a · (b × c) .
b) Show that a (b c) = the determinant whose rows are respectively the compo
· ×
nents of the vectors a, b, c.
(These two parts prove the volume interpretation of a 3 × 3 determinant.
61. � �
� �
5
1. VECTORS AND MATRICES
1C-9 Use the formula in Exercise 1C-8 to calculate the volume of a tetrahedron having as
vertices (0, 0, 0), (0, −1, 2), (0, 1, −1), (1, 2, 1). (The volume of a tetrahedron is 1
(base)(height).)
3
1C-10 Show by using Exercise 8 that if three origin vectors lie in the same plane, the
determinant having the three vectors as its three rows has the value zero.
1D. Cross Product
1D-1 Find A × B if
a) A = i − 2 j + k , B = 2 i − j − k b) A = 2 i − 3 k , B = i + j − k .
1D-2 Find the area of the triangle in space having its vertices at the points
P : (2, 0, 1), Q : (3, 1, 0), R : (−1, 1, −1).
′ ′
1D-3 Two vectors i and j of a right-handed coordinate system are to have the directions
′ ′ ′
respectively of the vectors A = 2 i − j and B = i +2 j + k . Find all three vectors i , j , k .
1D-4 Verify that the cross product × does not in general satisfy the associative law, by
showing that for the particular vectors i , i , j , we have ( i i ) j = i j ).
× × � × ( i ×
1D-5 What can you conclude about A and B
a) if |A × B| = |A||B|; b) if |A × B| = A · B.
1D-6 Take three faces of a unit cube having a common vertex P; each face has a diagonal
ending at P; what is the volume of the parallelepiped having these three diagonals as
coterminous edges?
1D-7 Find the volume of the tetrahedron having vertices at the four points
P : (1, 0, 1), Q : (−1, 1, 2), R : (0, 0, 2), S : (3, 1, −1).
Hint: volume of tetrahedron = 1
(volume of parallelepiped with same 3 coterminous edges)
6
1D-8 Prove that A (B × C) = (A × B) C, by using the determinantal formula for the
· ·
scalar triple product, and the algebraic laws of determinants in Notes D.
1D-9 Show that the area of a triangle in the xy-plane having vertices at (xi, yi), for
� x1 y1 1 �
1 � �
i = 1, 2, 3, is given by the determinant � x2 y2 1 � . Do this two ways:
2 � x3 y3 1 �
a) by relating the area of the triangle to the volume of a certain parallelepiped
b) by using the laws of determinants (p. L.1 of the notes) to relate this determinant
to the 2 × 2 determinant that would normally be used to calculate the area.
62. � � � �
6 EXERCISES
1E. Equations of Lines and Planes
1E-1 Find the equations of the following planes:
a) through (2, 0, −1) and perpendicular to i + 2 j − 2 k
b) through the origin, (1, 1, 0), and (2, −1, 3)
c) through (1, 0, 1), (2, −1, 2), (−1, 3, 2)
d) through the points on the x, y and z-axes where x = a, y = b, z = c respectively
(give the equation in the form Ax + By + Cz = 1 and remember it)
e) through (1, 0, 1) and (0, 1, 1) and parallel to i − j + 2 k
1E-2 Find the dihedral angle between the planes 2x − y + z = 3 and x + y + 2z = 1.
1E-3 Find in parametric form the equations for
a) the line through (1, 0, −1) and parallel to 2 i − j + 3 k
b) the line through (2, −1, −1) and perpendicular to the plane x − y + 2z = 3
c) all lines passing through (1, 1, 1) and lying in the plane x + 2y − z = 2
1E-4 Where does the line through (0, 1, 2) and (2, 0, 3) intersect the plane x + 4y + z = 4?
1E-5 The line passing through (1, 1, −1) and perpendicular to the plane x + 2y − z = 3
intersects the plane 2x − y + z = 1 at what point?
1E-6 Show that the distance D from the origin to the plane ax + by + cz = d is given by
the formula D = √
a2 +
|d
b
|
2 + c2
.
(Hint: Let n be the unit normal to the plane. and P be a point on the plane; consider
the component of OP in the direction n.)
1E-7* Formulate a general method for finding the distance between two skew (i.e., non
intersecting) lines in space, and carry it out for two non-intersecting lines lying along the
diagonals of two adjacent faces of the unit cube (place it in the first octant, with one vertex
at the origin).
(Hint: the shortest line segment joining the two skew lines will be perpendicular to both
of them (if it weren’t, it could be shortened).)
1F. Matrix Algebra
� � 1 0 2
1F-1* Let A =
2 −1 3
, B = 2
−
3
1
, C = −3 4 . Compute
1 0 4
−1 2 1 1
a) B + C, B − C, 2B − 3C.
b) AB, AC, BA, CA, BCT
, CBT
c) A(B + C), AB + AC; (B + C)A, BA + CA
1F-2* Let A be an arbitrary m n matrix, and let Ik be the identity matrix of size k.
×
Verify that ImA = A and AIn = A.
a b 0 0
1F-3 Find all 2 × 2 matrices A = such that A2
= .
c d 0 0
63. � � � �
� � � �
� � � �
� � � � � � � �
1. VECTORS AND MATRICES 7
1F-4* Show that matrix multiplication is not in general commutative by calculating for
each pair below the matrix AB − BA:
� � � � 2 1 0 3 1 −2
0 1 1 0
a) A = , B = b) A = 1 1 2 , B = 3 −2 4
1 1 1 1
−1 2 1 −3 5 −1
.
0 1 1 1
1F-5 a) Let A = . Compute A2
, A3
. b) Find A2
, A3
, An
if A = .
1 1 0 1
1F-6* Let A, A′
, B, B′
be 2 × 2 matrices, and O the 2 × 2 zero matrix. Express in terms
A O A′
O
of these five matrices the product of the 4 × 4 matrices .
O B O B′
1 a 1 b
1F-7* Let A = , B = . Show there are no values of a and b such that
0 1 0 1
AB − BA = I2.
1 2 0 −1 0 1
1F-8 a) If A 0 = 3 , A 1 = 0 , A 0 = 1 , what is the
0 1 0 4 1 −1
3 × 3 matrix A?
2 −2 1 3 0 7
b)* If A 0 = 0 , A 1 = 0 , A 2 = 1 , what is A?
0 4 1 3 1 1
1F-9 A square n n matrix is called orthogonal if A AT
= In. Show that this condition
× ·
is equivalent to saying that
a) each row of A is a row vector of length 1,
b) two different rows are orthogonal vectors.
1F-10* Suppose A is a 2 × 2 orthogonal matrix, whose first entry is a11 = cos θ. Fill in the
rest of A. (There are four possibilities. Use Exercise 9.)
1F-11* Show that if A + B and AB are defined, then
a) (A + B)T
= AT
+ BT
, b) (AB)T
= BT
AT
.
1G. Solving Square Systems; Inverse Matrices
For each of the following, solve the equation A x = b by finding A−1
.
3 1 −1 8
1G-1* A = −1 2 0 , b = 3 .
−1 −1 −1 0
1G-2* a) A =
4 3
, b =
−1
; b) A =
4 3
, b =
2
.
3 2 1 3 2 3
1 −1 1 2
1G-3 A = 0 1 1 , b = 0 . Solve A x = b by finding A−1
.
−1 −1 2 3
64. � �
� �
8 EXERCISES
1G-4 Referring to Exercise 3 above, solve the system
x1 − x2 + x3 = y1, x2 + x3 = y2 − x1 − x2 + 2x3 = y3
for the xi as functions of the yi.
1G-5 Show that (AB)−1
= B−1
A−1
, by using the definition of inverse matrix.
1G-6* Another calculation of the inverse matrix.
If we know A−1
, we can solve the system Ax = y for x by writing x = A−1
y. But
conversely, if we can solve by some other method (elimination, say) for x in terms of y,
getting x = By, then the matrix B = A−1
, and we will have found A−1
.
This is a good method if A is an upper or lower triangular matrix — one with only zeros
respectively below or above the main diagonal. To illustrate:
−1 1 3 −x1 + x2 + 3x3 = y1
a) Let A = 0 2 −1 ; find A−1
by solving 2x2 − x3 = y2 for the xi
0 0 1 x3 y3
=
in terms of the yi (start from the bottom and proceed upwards).
b) Calculate A−1
by the method given in the notes.
1G-7* Consider the rotation matrix Aθ =
cos θ − sin θ
corresponding to rotation of
sin θ cos θ
the x and y axes through the angle θ. Calculate A−
θ
1
by the adjoint matrix method, and
explain why your answer looks the way it does.
1G-8* a) Show: A is an orthogonal matrix (cf. Exercise 1F-9) if and only if A−1
= AT
.
b) Illustrate with the matrix of exercise 7 above.
c) Use (a) to show that if A and B are n n orthogonal matrices, so is AB.
×
1G-9* a) Let A be a 3 × 3 matrix such that |A| =
� 0. The notes construct a right-inverse
A−1
, that is, a matrix such that A A−1
= I. Show that every such matrix A also has a left
·
inverse B (i.e., a matrix such that BA = I.)
(Hint: Consider the equation AT
(AT
)−1
= I; cf. Exercise 1F-11.)
b) Deduce that B = A−1
by a one-line argument.
(This shows that the right inverse A−1
is automatically the left inverse also. So if you
want to check that two matrices are inverses, you only have to do the multiplication on one
side — the product in the other order will automatically be I also.)
1G-10* Let A and B be two n×n matrices. Suppose that B = P−1
AP for some invertible
n n matrix P. Show that Bn
= . If B = In, what is A?
× P−1
An
P
1G-11* Repeat Exercise 6a and 6b above, doing it this time for the general 2 × 2 matrix
a b
A =
c d
, assuming |A| =
� 0.
65. � � � � � �
� �
� �
�
9
1. VECTORS AND MATRICES
1H. Theorems about Square Systems
1H-1 Use Cramer’s rule to solve for x in the following:
3x − y + z = 1 x − y + z = 0
(a) −x + 2y + z = 2 , (b) x − z = 1.
x − y + z = −3 −x + y + z = 2
(We did not cover Cramer’s rule in this course.)
1H-2 Using Cramer’s rule, give another proof that if A is an n×n matrix whose determinant
is non-zero, then the equations Ax = 0 have only the trivial solution.
(We did not cover Cramer’s rule in this course.)
x1 − x2 + x3 = 0
1H-3 a) For what c-value(s) will 2x1 + x2 + x3 = 0 have a non-trivial solution?
−x1 + cx2 + 2x3 = 0
2 1 x x
b) For what c-value(s) will = c have a non-trivial solution?
0 −1 y y
(Write it as a system of homogeneous equations.)
c) For each value of c in part (a), find a non-trivial solution to the corresponding
system. (Interpret the equations as asking for a vector orthogonal to three given vectors;
find it by using the cross product.)
d)* For each value of c in part (b), find a non-trivial solution to the corresponding
system.
x − 2y + z = 0
1H-4* Find all solutions to the homogeneous system x + y − z = 0 ;
3x − 3x + z = 0
use the method suggested in Exercise 3c above.
a1x + b1y = c1
�
� a1 b1
�
�
1H-5 Suppose that for the system we have = 0. Assume that
a2x + b2y = c2 a2 b2
a2
a1 = 0. Show that the system is consistent (i.e., has solutions) if and only if c2 =
�
a1
c1.
1H-6* Suppose A = 0, and that x1 is a particular solution of the system Ax = B. Show
| |
that any other solution x2 of this system can be written as x2 = x1 + x0, where x0 is a
solution of the system Ax = 0.
1H-7 Suppose we want to find a pure oscillation (sine wave) of frequency 1 passing through
two given points. In other words, we want to choose constants a and b so that the function
f(x) = a cos x + b sin x
has prescribed values at two given x-values: f(x1) = y1, f(x2) = y2.
a) Show this is possible in one and only one way, if we assume that x2 = x1 + nπ, for
every integer n.
66. 10 EXERCISES
b) If x2 = x1 + nπ for some integer n, when can a and b be found?
1H-8* The method of partial fractions, if you do it by undetermined coefficients, leads to
a system of linear equations. Consider the simplest case:
ax + b c d
= + , (a, b, r1, r2 given; c, d to be found);
(x − r1)(x − r2) x − r1 x − r2
what are the linear equations which determine the constants c and d? Under what circum
stances do they have a unique solution?
(If you are ambitious, try doing this also for three roots ri, i = 1, 2, 3. Evaluate the
determinant by using column operations to get zeros in the top row.)
1I. Vector Functions and Parametric Equations
1I-1 The point P moves with constant speed v in the direction of the constant vector
a i + b j . If at time t = 0 it is at (x0, y0), what is its position vector function r(t)?
1I-2 A point moves clockwise with constant angular velocity ω on the circle of radius a
centered at the origin. What is its position vector function r(t), if at time t = 0 it is at
(a) (a, 0) (b) (0, a)
1I-3 Describe the motions given by each of the following position vector functions, as t
goes from −∞ to ∞. In each case, give the xy-equation of the curve along which P travels,
and tell what part of the curve is actually traced out by P.
a) r = 2 cos2
t i + sin2
t j b) r = cos 2t i + cos t j c) r = (t2
+ 1) i + t3
j
d) r = tan t i + sec t j
1I-4 A roll of plastic tape of outer radius a is held in a fixed position while the tape is
being unwound counterclockwise. The end P of the unwound tape is always held so the
unwound portion is perpendicular to the roll. Taking the center of the roll to be the origin
O, and the end P to be initially at (a, 0), write parametric equations for the motion of P.
(Use vectors; express the position vector OP as a vector function of one variable.)
1I-5 A string is wound clockwise around the circle of radius a centered at the origin O; the
initial position of the end P of the string is (a, 0). Unwind the string, always pulling it taut
(so it stays tangent to the circle). Write parametric equations for the motion of P.
(Use vectors; express the position vector OP as a vector function of one variable.)
1I-6 A bow-and-arrow hunter walks toward the origin along the positive x-axis, with unit
speed; at time 0 he is at x = 10. His arrow (of unit length) is aimed always toward a rabbit
hopping with constant velocity
√
5 in the first quadrant along the line y = 2x; at time 0 it
is at the origin.
a) Write down the vector function A(t) for the arrow at time t.
b) The hunter shoots (and misses) when closest to the rabbit; when is that?
1I-7 The cycloid is the curve traced out by a fixed point P on a circle of radius a which
rolls along the x-axis in the positive direction, starting when P is at the origin O. Find the
vector function OP; use as variable the angle θ through which the circle has rolled.
(Hint: begin by expressing OP as the sum of three simpler vector functions.)
67. 11
1. VECTORS AND MATRICES
1J. Differentiation of Vector Functions
1J-1 1. For each of the following vector functions of time, calculate the velocity, speed
|ds/dt|, unit tangent vector (in the direction of velocity), and acceleration.
a) et
i + e−t
j b) t2
i + t3
j c) (1 − 2t2
) i + t2
j + (−2 + 2t2
) k
1 t
1J-2 Let OP = i + j be the position vector for a motion.
1 + t2 1 + t2
a) Calculate v, ds/dt , and T.
| |
b) At what point in the speed greatest? smallest?
c) Find the xy-equation of the curve along which the point P is moving, and describe
it geometrically.
1J-3 Prove the rule for differentiating the scalar product of two plane vector functions:
d dr ds
r s = s + r ,
dt
·
dt
· ·
dt
by calculating with components, letting r = x1 i + y1 j and s = x2 i + y2 j .
1J-4 Suppose a point P moves on the surface of a sphere with center at the origin; let
OP = r(t) = x(t) i + y(t) j + z(t) k .
Show that the velocity vector v is always perpendicular to r two different ways:
a) using the x, y, z-coordinates
b) without coordinates (use the formula in 1J-3, which is valid also in space).
c) Prove the converse: if r and v are perpendicular, then the motion of P is on the
surface of a sphere centered at the origin.
1J-5 a) Suppose a point moves with constant speed. Show that its velocity vector and
acceleration vector are perpendicular. (Use the formula in 1J-3.)
b) Show the converse: if the velocity and acceleration vectors are perpendicular, the
point P moves with constant speed.
1J-6 For the helical motion r(t) = a cos t i + a sin t j + bt k ,
a) calculate v, a, T, ds/dt
| |
b) show that v and a are perpendicular; explain using 1J-5
1J-7 a) Suppose you have a differentiable vector function r(t). How can you tell if the
parameter t is the arclength s (measured from some point in the direction of increasing t)
without actually having to calculate s explicitly?
b) How should a be chosen so that t is the arclength if r(t) = (x0 +at) i +(y0 +at) j ?
c) How should a and b be chosen so that t is the arclength in the helical motion
described in Exercise 1J-6?
68. � �
� �
12 EXERCISES
d du dr
1J-8 a) Prove the formula
dt
u(t)r(t) =
dt
r(t) + u(t)
dt
.
(You may assume the vectors are in the plane; calculate with the components.)
b) Let r(t) = et
cos t i + et
sin t j , the exponential spiral. Use part (a) to find the
speed of this motion.
1J-9 A point P is moving in space, with position vector
r = OP = 3 cos t i + 5 sin t j + 4 cos t k
a) Show it moves on the surface of a sphere.
b) Show its speed is constant.
c) Show the acceleration is directed toward the origin.
d) Show it moves in a plane through the origin.
e) Describe the path of the point.
�dT�
1J-10 The positive curvature κ of the vector function r(t) is defined by κ = .
� ds �
a) Show that the helix of 1J-6 has constant curvature. (It is not necessary to
calculate s explicitly; calculate dT/dt instead and relate it to κ by using the chain rule.)
b) What is this curvature if the helix is reduced to a circle in the xy-plane?
1K. Kepler’s Second Law
1K-1 (Same as 1J-3). Prove the product rule for differentiating the dot product of two
plane vectors: do the calculation using an i j -coordinate system.
(Let r(t) = x1(t) i + y1(t) j and s(t) = x2(t) i + y2(t) j .)
1K-2 Let s(t) be a vector function. Prove by using components that
ds
= 0 s(t) = K, where K is a constant vector.
dt
⇒
1K-3 In our proof that Kepler’s second law is equivalent to the force being central, used
the following steps to show the second law implies a central force. Kepler’s second law says
the motion is in a plane and
dA
(2) 2
dt
= |r × v| is constant.
This implies r v is constant. So,
×
d
0 =
dt
(r × v) = v × v + r × a = r × a.
This implies a and r are parallel, i.e. the force is central.
Reverse these steps to prove the converse: for motion under any type of central force,
the path of motion will lie in a plane and area will be swept out by the radius vector at a
constant rate. You will need the statement in exercise 1K-2.
69. Solutions to Exercises
1. Vectors and Matrices
1A. Vectors
1A-1 a) |A| =
√
3, dir A = A/
√
3 b) |A| = 3, dir A = A/3
c) A = 7, dir A = A/7
| |
±
√
23/5
1A-2 1/25 + 1/25 + c2
= 1
c =
⇒
1A-3 a) A = − i − 2 j + 2 k , |A| = 3, dir A = A/3.
b) A = |A| dir A = 2 i + 4 j − 4 k . Let P be its tail and Q its head. Then
OQ = OP + A = 4 j − 3 k ; therefore Q = (0, 4, −3).
1
2
1
2
1
2
(OP + OQ)
a) OX = OP + PX = OP + (PQ) = OP + (OQ − OP)
r in above; use 1 −
1A-4 =
1
2
by
b) OX = s OP + r OQ; replace r = s.
√
3 i +
3
3
The condition is not redundant since there are two vectors of
1A-5 A = j .
2
2
length 3 making an angle of 30o
with i .
1A-6 wind w= 50(− i − j )/
√
2), v + w = 200 j v = 50/
√
2 i + (200 + 50/
√
2) j .
⇒
′
1A-7 a) b i − a j b) −b i + a j c) (3/5)2
+ (4/5)2
= 1; j = −(4/5) i + (3/5) j
1A-8 a) is elementary trigonometry;
b) cos α = a/
√
a2 + b2 + c2, etc.; dir A = (−1/3, 2/3, 2/3)
c) if t, u, v are direction cosines of some A, then t i +u j +v k = dir A, a unit vector,
so t2
+u 2
+v
2
= 1; conversely, if this relation holds, then t i +u j +v k = u is a unit vector,
so dir u = u and t, u, v are the direction cosines of u.
1
1
1
joining the two midpoints is 2
1A-9 Letting A and B be the two sides, the third side is B − A; the line B
A
A
B
C
D
B-A
A, which (B−A), a vector parallel
B−
to the third side and half its length.
=
2
2
1A-10 Letting A, B, C,D be the four sides; then if the vectors are suitably
oriented, we have A + B = C+D.
1
2
1
2
The vector from the midpoint of A to the midpoint of C is A; similarly, the
C −
D, and
1
2
B − 1
2
vector joining the midpoints of the other two sides is
1
2
(C − A) = 1
2
(B − D)
A + B = C + D ⇒ C − A = B − D ;
⇒
thus two opposite sides are equal and parallel, which shows the figure is a parallelogram.
1A-11 Letting the four vertices be O, P, Q, R, with X on PR and Y on OQ,
P
Q
R
X
Y
1
2
PR
OX = OP + PX = OP +
1
2
(OR − OP)
OP +
=
1
2
(OR + OP) = 1
2
OQ = OY ;
=
therefore X = Y . O
1
70. � �
2 SOLUTIONS TO EXERCISES
1B. Dot Product
A B 4 + 2 1 π 3 1 π
1B-1 a) cos θ =
·
= = , θ = b) cos θ = = , θ = .
|A||B|
√
2 6
√
2 4
√
6
√
6 2 3
· ·
1B-2 A B = c − 4; therefore (a) orthogonal if c = 4,
·
b) cos θ =
c − 4
; the angle θ is acute if cos θ 0, i.e., if c 4.
√
c2 + 5
√
6
1B-3 Place the cube in the first octant so the origin is at one corner P, and i , j , k are
three edges. The longest diagonal PQ = i + j + k ; a face diagonal PR = i + j .
a) cos θ =
PQ · PR
=
2
; θ = cos−1
�
2/3
|PQ| · |PR|
√
3
√
2
b) cos θ =
PQ · i
=
1
, θ = cos−1
1/
√
3.
|PQ|| i |
√
3
1B-4 QP = (a, 0, −2), QR = (a, −2, 2), therefore
a) QP QR = a2
− 4; therefore PQR is a right angle if a2
− 4 = 0, i.e., if a = ±2.
·
2
a 2
b) cos θ = √
a2 + 4
−
√
a
4
2 + 8
; the angle is acute if cos θ 0, i.e., if a − 4 0, or
|a| 2, i.e., a 2 or a −2.
1B-5 a) F u = −1/
√
3 b) u = dir A = A/7, so F u = −4/7
· ·
1B-6 After dividing by OP , the equation says cos θ = c, where θ is the angle between OP
| |
−1
and u; call its solution θ0 = cos c. Then the locus is the nappe of a right circular cone
with axis in the direction u and vertex angle 2θ0. In particular this cone is
a) a plane if θ0 = π/2, i.e., if c = 0 b) a ray if θ0 = 0, π, i.e., if c = ±1.
c) Locus is the origin, if c 1 or c −1 (division by OP is illegal, notice).
√
2
| |
′ ′
1B-7 a) i = j =
| | | | √
2
= 1; a picture shows the system is right-handed.
′ ′
b) A i = −1/
√
2; A j = −5/
√
2;
· ·
′ ′
since they are perpendicular unit vectors, A =
− i
√
−
2
5 j
.
′ ′ ′ ′
c) Solving, i =
i
√
−
2
j
, j =
i
√
+
2
j
;
′ ′
) ′ ′
) ′ ′
thus A = 2 i − 3 j =
2( i
√
−
2
j
−
3( i
√
+
2
j
=
− i
√
−
2
5 j
, as before.
′ ′ ′ ′ ′ ′
1B-8 a) Check that each has length 1, and the three dot products i j , i k , j k
· · ·
are 0; make a sketch to check right-handedness.
′ ′ ′ ′ ′
b) A i =
√
3, A j = 0, A k =
√
6, therefore, A =
√
3 i +
√
6 k .
· · ·
1B-9 Let u = dir A, then the vector u-component of B is (B u)u. Subtracting it off gives
·
a vector perpendicular to u (and therefore also to A); thus
B = (B u)u + B − (B u)u
· ·
71. 1. VECTORS AND MATRICES 3
or in terms of A, remembering that |A|2
= A
�
· A,
�
B A B A
B =
·
A + B
·
A
A A
−
A A
· ·
.
1B-10 Let two adjacent edges of the parallelogram be the vectors A and B; then the two
diagonals are A+B and A−B. Remembering that for any vector C we have C·C = |C|2
,
the two diagonals have equal lengths
⇔ (A + B) · (A + B) = (A − B) · (A − B)
⇔ (A · A) + 2(A · B) + (B · B) = (A · A) − 2(A · B) + (B · B)
A B = 0,
⇔ ·
which says the two sides are perpendicular, i.e., the parallelogram is a rectangle.
1B-11 Using the notation of the previous exercise, we have successively,
(A + B) (A − B) = A A − B B; therefore,
· · ·
(A + B) (A − B) = 0 A A = B B,
· ⇔ · ·
i.e., the diagonals are perpendicular if and only if two adjacent edges have equal length, in
other words, if the parallelogram is a rhombus.
1B-12 Let O be the center of the semicircle, Q and R the two ends of the diameter, and
P the vertex of the inscribed angle; set A = QO = OR and B = OP; then A = B .
| | | |
The angle sides are QP = A + B and PR = A − B; they are perpendicular since
(A + B) (A − B) = A A − B B
· · ·
= 0, since A = B .
| | | |
1B-13 The unit vectors are ui = cos θi i + sin θi j , for i = 1, 2; the angle between them is
θ2 − θ1. We then have by the geometric definition of the dot product
cos(θ2 − θ1) =
u1 · u2
,
|u1||u2|
= cos θ1 cos θ2 + sin θ1 sin θ2,
according to the formula for evaluating the dot product in terms of components.
1B-14 Let the coterminal vectors A and B represent two sides of the triangle, and let θ
be the included angle. Suitably directed, the third side is then C = A − B, and
|C|2
= (A − B) · (A − B) = A · A + B · B − 2A · B
= |A|2
+ |B|2
− 2|A||B| cos θ,
by the geometric interpretation of the dot product.
72. � � � �
� � � �
� �
� �
� �
� � � � � �
� � �
� � � � � �
� � � � � �
� �
� �
� �
� �
� �
�
� � � �
� � � �
� � � �
� �
� �
� �
� �
4 SOLUTIONS TO EXERCISES
1C. Determinants
1C-1 a) � 1 4 � = = b) � 3 −4 � = −10.
� 2 −1 � −1 − 8 −9 � −1 −2 �
� 0 4 �
� −1 �
1C-2 1 2 2 = 2 + 0 − 8 − (24 + 4 + 0) = −34.
� 3 �
−2 −1
� 2 2 � � 1 2 � � 1 2 �
a) By the cofactors of row one: = −1 � −2 −1
�
� − 0 · � 3 −1
�
� + 4 · � 3 −2
�
� = −34
� 2 2 � � 0 4 � � 0 4 �
b) By the cofactors of column one: = −1·� �−1·� �+3·� 2 2 � = −34.
−2 −1 −2 −1
� 1 2 �
1C-3 a) �
�
1 −1 �
� = −3; so area of the parallelogram is 3, area of the triangle is 3/2
b) sides are PQ = (0, −3), PR = (1, 1), �
�
1
0 −
1
3
�
� = 3, so area of the parallelogram
is 3, area of the triangle is 3/2
� 1 1 1
� x
2 2 2 �
1C-4 �
� x1 x2 x3 � = x2x3
2
+ x1x2
2
+ x2
1x3 − x2
1x2 − 2
2x3 − x1x3
2
� x x x
1 2 3
(x1 −x2)(x1 −x3)(x2 −x3) = x2
1x2 −x2
1x3 −x1x3x2 +x1x2
3 −x2
2
x1 +x2x1x3 +x2
2x3 −x2x2
3.
Two terms cancel, and the other six are the same as those above, except they have the
opposite sign.
1C-5 a)
�
x2 +
x1
ax1 y2 +
y1
ay1
�
= x1y2 + ax1y1 − x2y1 − ay1x1 =
�
x
x
2
1
y
y
2
1
�
.
b) is similar.
1C-6 Use the Laplace expansion by the cofactors of the first row.
1C-7 The heads of two vectors are on the unit circle. The area of the parallelogram they
span is biggest when the vectors are perpendicular, since area = ab sin θ = 1 1 sin θ, and
· ·
sin θ has its maximum when θ = π/2.
Therefore the maximum value of � x1 y1 � = area of unit square = 1.
� x2 y2
�
1C-9 PQ = (0, −1, 2), PR = (0, 1, −1), PS = (1, 2, 1);
� 0 2 �
� −1 �
� 1 2 1 �
volume parallelepiped = ± � 0 1 −1 � = ±(−1) = 1 .
vol. tetrahedron = 1 1 1 1
(base)(ht.) = (p’piped base)(ht.) = (vol. p’piped) = 1/6.
3 3 2 6
·
1C-10 Thinking of them all as origin vectors, A lies in the plane of B and C, therefore
the volume of the parallelepiped spanned by the three vectors is zero.
73. � �
� �
� �
� �
� �
�
�
� �
� �
� �
� �
�
� �
� �
� �
1. VECTORS AND MATRICES 5
1D. Cross Product
1D-1 a)
�
�
�
�
�
�
i
1
2
j
−2
−1
k
1
−1
�
�
�
�
�
�
= 3 i − (−3) j + 3 k b)
�
�
�
�
�
�
i
2
1
j
0
1
k
−3
−1
�
�
�
�
�
�
= 3 i − j + 2 k
� i j k �
� 1 �
1D-2 PQ = i + j − k , PR = −3 i + j − 2 k , so � 1 1 −1 � = −1 i + 5 j + 4 k ;
−3 −2
√
42.
area of the triangle = 1
2 |PQ × PR| = 1
2
1D-3 We get a third vector (properly oriented) perpendicular to A and B by using A×B:
� i j k �
A × B = � 2 −1 0 �
� = − i − 2 j + 5 k
� 1 2 1
′ ′ ′
Make these unit vectors: i = A/
√
5, j = B/
√
6, k = (− i − 2 j + 5 k )/
√
30.
1D-4 ( i × i ) × j = 0 × j = 0; i × ( i × j ) = i × k = − j .
1D-5 For both, use |A × B| = |A||B| sin θ, where θ is the angle between A and B.
a) sin θ = 1 θ = π/2; the two vectors are orthogonal.
⇒
b) A B sin θ = A B cos θ, therefore tan θ = 1, so θ = π/4
| || | | || |
1D-6 Taking the cube so P is at the origin and three coterminous edges are i , j , k , the
three diagonals of the faces are i + j , j + k , i + k , so
� 1 1 0
volume of parallelepiped spanned by diagonals = 0 1 1 = 2 .
� 1 0 1 �
1D-7 We have PQ = (−2, 1, 1), PR = (−1, 0, 1), PS = (2, 1, −2);
� −2 1 1 � 1
volume parallelepiped = ± � −1 0 1 � = ±1 = 1; volume tetrahedron =
6
.
� 2 1 −2 �
1D-8 One determinant has rows in the order A, B, C, the other represents C (A × B),
·
and therefore has its rows in the order C, A, B.
To change the first determinant into the second, interchange the second and third rows,
then the first and second row; each interchange multiplies the determinant by −1, (See rule
D-1 in reading D1), therefore the net effect of two successive interchanges is to leave its
value unchanged; thus A (B × C) = (A × B) C.
· ·
1D-9 a) Lift the triangle up into the plane z = 1, so its vertices are at the three points
Pi = (xi, yi, 1), i = 1, 2, 3.
1
3 (height)(base) = 1
3 1 (area of triangle);
·
volume tetrahedron OP1P2P3 =
1
6
1
6
1
2
volume tetrahedron OP1P2P3 (volume parallelepiped spanned by the OPi)
(determinant);
=
=
Therefore: area of triangle = (determinant)
74. � � � �
� �
� �
� �
� �
� �
� �
� �
�
� �
� �
� �
�
�
� �
� �
� �
�
�
6 SOLUTIONS TO EXERCISES
b) Subtracting the first row from the second, and the first row from the third does
not alter the value of the determinant, (see rule D-4 in reading D1), and gives
� x1 y1 1 � � x1 y1 1 �
1 � � 1 � �
� x2 y2 1 � = � x2 − x1 y2 − y1 0 �
2 � 2 �
� x3 y3 1 � � x3 − x1 y3 − y1 0 �
1 � �
� x2 − x1 y2 − y1 � ,
=
2 x3 − x1 y3 − y1
using the Laplace expansion by the cofactors of the last column; but this 2 × 2 determinant
gives the area of the parallelogram spanned by the vectors representing two sides of the
plane triangle, and the triangle has half this area.
1E. Lines and Planes
1E-1 a) (x − 2) + 2y − 2(z + 1) = 0 x + 2y − 2z = 4.
⇒
� i j k
b) N = (1, 1, 0) × (2, −1, 3) = 1 1 0 = 3 i − 3 j − 3 k
� 2 3 �
−1
Removing the common factor 3, the equation is x − y − z = 0.
c) Calling the points respectrively P, Q, R, we have PQ = (1, −1, 1), PR = (−2, 3, 1);
� i j k
N = PQ × PR = � 1 −1 1 = −4 i − 3 j + k
� 3 1 �
−2
Equation (through P : (1, 0, 1)): −4(x − 1) − 3y + (z − 1) = 0, or −4x − 3y + z = −3.
x y z
d) + + = 1.
a b c
e) N must be perpendicular to both i − j + 2 k and PQ = (−1, 1, 0). Therefore
� i j k
N = 1 −1 2 � = −2 i −2 j ; a plane through (1, 0, 1) with this N is then x+y = 1.
� 1 0 �
−1
1E-2 The dihedral angle between two planes is the same as the angle θ between their
normal vectors. The normal vectors to the planes are respectively (2, −1, 1) and (1, 1, 2);
3 1
therefore cos θ = =
√
6
√
6 2
, so that θ = 60o
or π/3.
1E-3 a) x = 1 + 2t, y = −t, z = −1 + 3t.
b) x = 2+t, y = −1−t, z = −1+2t, since the line has the direction of the normal
to the plane.
c) The direction vector of the line should be parallel to the plane, i.e., perpendicular
to its normal vector i + 2 j − k ; so the answer is
x = 1 + at, y = 1 + bt, z = 1 + ct, where a + 2b − c = 0, a, b, c not all 0, or better,
x = 1 + at, y = 1 + bt, z = 1 + (a + 2b)t for any constants a, b.
75. � � � � � �
�
� � � �
� �
� �
1. VECTORS AND MATRICES 7
1E-4 The line has direction vector PQ = (2, −1, 1), so its parametric equations are:
x = 2t, y = 1 − t, z = 2 + t.
Substitute these into the equation of the plane to find a point that lies in both the line and
the plane:
2t + 4(1 − t) + (2 + t) = 4, or −t + 6 = 4;
therefore t = 2, and the point is (substituting into the parametric equations): (4, −1, 4).
1E-5 The line has the direction of the normal to the plane, so its parametric equations are
x = 1 + t, y = 1 + 2t, z = −1 − t;
substituting, it intersects the plane when
2(1 + t) − (1 + 2t) + (−1 − t) = 1, or −t = 1;
therefore, at (0, 1, 0).
1E-6 Let P0 : (x0, y0, z0) be a point on the plane, and N = (a, b, c) be a normal vector to
the plane. The distance we want is the length of that origin vector which is perpendicular
to the plane; but this is exactly the component of OP0 in the direction of N. So we get
(choose the sign which makes it positive):
N (a, b, c)
distance from point to plane = ± OP0 ·
|N|
= ± (x0, y0, z0) · √
a2 + b2 + c2
=
|ax0 + by0 + cz0|
=
|d|
;
√
a2 + b2 + c2
√
a2 + b2 + c2
the last equality holds since the point satisfies the equation of the plane.
1F. Matrix Algebra
a b a b a2
+ bc ab + bd
1F-3 =
c d c d ac + cd cb + d2
We want all four entries of the product to be zero; this gives the equations:
a2
= −bc, b(a + d) = 0, c(a + d) = 0, d2
= −bc.
case 1: a + d = 0; then b = 0 and c = 0; thus a = 0 and d = 0.
case 2: a + d = 0; then d = −a, bc = −a2
a b a b
Answer: , where bc = −a2
, i.e., � � = 0.
c −a c −a
� �2 � � � �3 � � � � � �
0 1 1 1 0 1 1 1 0 1 1 2
1F-5 a) = ; = =
1 1 1 2 1 1 1 2 1 1 2 3
� �2 � � � �3 � � � � � �
1 1 1 2 1 1 1 2 1 1 1 3
b) = ; = =
0 1 0 1 0 1 0 1 0 1 0 1
� �n � �
1 1 1 n
Guess: = ; Proof by induction:
0 1 0 1
� �n+1 � �n � � � � � � � �
1 1 1 1 1 1 1 n 1 1 1 n + 1
= = = .
0 1 0 1 0 1 0 1 0 1 0 1
76. �
�
� � � �
� � � �
�
8 S. SOLUTIONS TO EXERCISES
a b c 1 a a b c 0 b
1F-8 a) d e f 0 = d ; d e f 1 = e ; etc.
g h i 0 g g h i 0 h
2 −1 1
Answer: 3 0 1 (See p. 13 for a more .
1 4 −1
1F-9 For the entries of the product matrix A AT
= C, we have
·
0 if i = j;
cij =
�
since A AT
= I.
1 if i = j,
·
On the other hand, by the definition of matrix multiplication,
cij = (i-th row of A) (j-th column of AT
) = (i-th row of A) (j-th row of A).
· ·
Since the right-hand sides of the two expressions for cij must be equal, when j = i it shows
that the i-th row has length 1; while for j = i, it shows that different rows are orthogonal
to each other.
1G. Solving Square Systems; Inverse Matrices
3 −1 1 3 1 −2 3 1 −2
1G-3 M = 1 3 2 ; MT
= −1 3 −1 ; A−1
= 1
5
−1 3 −1 ,
−2 −1 1 1 2 1 1 2 1
where M is the matrix of cofactors (watch the signs), MT
is its transpose (the adjoint
matrix), and we calculated that det A = 5, to get A−1
. Thus
3 1 −2 2 0 0
x = A−1
b = 1
5
−1 3 −1 0 = 1
5 −5 −1
= .
1 2 1 3 5 1
x1 3 1 −2 y1
1G-4 The system is Ax = y; the solution is x = A−1
y, or x2
= 5
1 −1 3 −1 y2
;
x3 1 2 1 y3
written out, this is the system of equations
x1 = 5
3
y1 + 5
1
y2 − 5
2
y3, x2 = −5
1
y1 + 5
3
y2 − 5
1
y3, x3 = 5
1
y1 + 5
2
y2 + 5
1
y3 .
1G-5 Using in turn the associative law, definition of the inverse, and identity law,
(B−1
A−1
)(AB) = B−1
(A−1
A)B = B−1
IB = B−1
B = I.
Similarly, (AB)(B−1
A−1
) = I. Therefore, B−1
A−1
is the inverse to AB.
1H. Theorems about Square Systems
� 1 1 � � 0 1 �
� −1 � 1 � −1 � 1
� −1 1 1 � | | � 2 1 1
1H-1 b) |A| = � 1 0 −1 � = 2; x =
A � 1 0 −1 � =
2
· 4 = 2.
1H-2 Using Cramer’s rule, the determinants in the numerators for x, y, and z all have a
column of zeros, therefore have the value zero, by the determinant law D-2.
77. � �
� �
� � �
� �
�
� �
� �
� � �
� �
�
9
1. VECTORS AND MATRICES
� 1 1 �
� −1 �
1H-3 a) The condition for it to have a non-zero solution is � 2 1 1 � = 0; expanding,
� −1 c 2 �
2 + 2c + 1 − (−1 + c − 4) = 0, or c = −8.
b)
(2 − c)x + y = 0
has a nontrivial solution if �
� 2 − c 1 �
�
= 0, i.e.,
(−1 − c)y = 0 0 −1 − c
if (2 − c)(−1 − c) = 0, or c = 2, c = −1.
c) Take c = −8. The equations say we want a vector (x1, x2, x3) which is orthogonal
to the three vectors
(1, −1, 2), (2, 1, 1), (−1, −8, 2) .
A vector orthogonal to the first two is (1, −1, 1) × (2, 1, 1) = (−2, 1, 3) (by calculation).
And this is orthogonal to (−1, −8, 2) also: (−2, 1, 3) (−1, −8, 2) = 0.
·
a1x0 + b1y0 = c1
1H-5 If (x0, y0) is a solution, then .
a2x0 + b2y0 = c2
Eliminating x0 gives (a2b1 − a1b2)y0 = a2c1 − a1c2.
� a1 c1
�
The left side is zero by hypothesis, so the right side is also zero: = 0.
� a2 c2
�
c1 c2
Conversely, if this holds, then a solution is x0 = , y0 = 0 (or x0 = , if a1 = 0).
a1 a2
a cos x1 + b sin x1 = y1 � cos x1 sin x1
�
1H-7 a) has a unique solution if = 0,
a cos x2 + b sin x2 = y2; cos x2 sin x2
� �
i.e.,
if cos x1 sin x2 − cos x2 sin x1 �= 0, or equivalently, sin(x2 − x1) �= 0, and this last holds if
and only if x2 − x1 �= nπ, for any integer n.
b) Since cos(x + nπ) = (−1)n
cos x and sin(x + nπ) = (−1)n
sin x, the equations are
solvable if and only if y2 = (−1)n
y1.
1I. Vector Functions and Parametric Equations
a i + b j
1I-1 Let u = dir (a i + b j ) = , and x0 = x0 i + y0 j . Then
√
a2 + b2
r(t) = x0 + vt u
1I-2 a) Since the motion is the reflection in the x-axis of the usual counterclockwise motion,
r = a cos(ωt) i − a sin(ωt) j . (This is a little special; part (b) illustrates an approach more
generally applicable.)
b) The position vector is r = a cos θ i + a sin θ j . At time t = 0, the angle θ = π/2;
then it decreases linearly at the rate ω. Therefore θ = π/2 − ωt; substituting and then
using the trigonometric identities for cos(A + B) and sin(A + B), we get
r = a cos(π/2 − ωt) i + a sin(π/2 − ωt) j = a sin ωt i + a cos ωt j
(In retrospect, we could have given another “special” derivation by observing that this
78. 10 S. SOLUTIONS TO EXERCISES
motion is the reflection in the diagonal line y = x of the usual counterclockwise motion
starting at (a, 0), so we get its position vector r(t) by interchanging the x and y in the usual
position vector function r = cos(ωt) i + sin(ωt) j .)
1I-3 a) x = 2 cos2
t, y = sin2
t, so x + 2y = 2; only the part of this line between (0, 1)
and (2, 0) is traced out, back and forth.
b) x = cos 2t, y = cos t; eliminating t to get the xy-equation, we have
cos 2t = cos2
t − sin2
t = 2 cos2
t − 1 ⇒ x = 2y2
− 1 ;
only the part of this parabola between (1, 1) and (1, −1) is traced out, back and forth.
c) x = t2
+ 1, y = t3
; eliminating t, we get y2
= (x − 1)3
; the entire curve is traced
out as t increases, with y going from −∞ to ∞.
d) x = tan t, y = sec t; eliminate t via the trigonometric identity tan2
t+1 = sec2
t,
getting y2
−x2
= 1. This is a hyperbola; the upper branch is traced out for −π/2 t π/2,
O
Q
P
the lower branch for π/2 t 3π/2. Then it repeats.
1I-4 OP = OP dir OP; dir OP = cos θ i + sin θ j ;
| | ·
|OP| = |OQ| + |QP| = a + aθ, since |QP| = arc QR = aθ. R
So OP = a(1 + θ)(cos θ i + sin θ j ) or x = a(1 + θ) cos θ, y = a(1 + θ) sin θ.
1I-5 OP = OQ + QP; OQ = a(cos θ i + sin θ j )
O
Q
QP = |QP| dir QP = aθ(sin θ i − cos θ j ), since |QP| = arc QR = aθ P
(cf. Exer. 1A-7a for dir QP) R
Therefore, OP = r = a(cos θ + θ sin θ) i + a(sin θ − θ cos θ) j
1I-6 a) r1(t) = (10 − t) i (hunter); r2(t) = t i + 2t j (rabbit; note that v = i + 2 j , so
indeed |v| =
√
5)
Arrow = HA =
r2 − r1
, since the arrow has unit length
|r2 − r1|
=
(t − 5) i + t j
, after some algebra.
√
2t2 − 10t + 25
b) It is easier mathematically to minimize the square of the distance between hunter
and rabbit, rather than the distance itself; you get the same t-value in either case.
Let f(t) = |r2 − r1|2
= 2t2
− 10t + 25; then f′
(t) = 4t − 10 = 0 when t = 2.5.
1I-7 OP = OA + AB + BP;
OA = arcAP = aθ; AB = a j ;
BP = a(− sin θ i − cos θ j )
Therefore, OP = a(θ − sin θ) i + a(1 − cos θ) j . O
B
P
A
θ
a
79. �
11
1. VECTORS AND MATRICES
1J. Vector Derivatives
1J-1 a) r = et
i + e−t
j ; v = et
i − e−t
j , |v| =
√
e2t + e−2t, T = √
et
e
i
2t
−
+
e
e
−
−
t
2
j
t
,
a = et
i + e−t
j
2 i + 3t j
b) r = t2
i + t3
j ; v = 2t i + 3t2
j ; |v| = t
√
4 + 9t2; T = √
4 + 9t2
;
a = 2 i + 6t j
c) r = (1 − 2t2
) i + t2
j + (−2 + 2t2
) k ; v = 2t(−2 i + j + 2 k ); |v| = 6t;
T = 1
(−2 i + j + 2 k ); a = 2(−2 i + j + 2 k )
3
1 t −2t i + (1 − t2
) j 1 −2t i + (1 − t2
) j
1J-2 a) r =
1 + t2
i +
1 + t2
j ; v =
(1 + t2)2
; |v| =
1 + t2
; T =
1 + t2
b) v is largest when t = 0, therefore at the point (1, 0). There is no point at which
| |
|v| is smallest; as t → ∞ or t → −∞, the point P → (0, 0), and |v| → 0.
c) The position vector shows y = tx, so t = y/x; substituting into x = 1/(1 + t2
)
yields after some algebra the equation x2
+ y2
x = 0; completing the square gives the
equation (x − 1
)2
+ y2
= 1
, which is a circle with
−
center at (1
, 0) and radius 1
.
2 4 2 2
′ ′
d x1y1 + x1y1+
1J-3 (x1y1 + x2y2) =
dt x′
2y2 + x2y2
′
dr ds
Adding the columns, we get: (x1, x2)′
(y1, y2) + (x1, x2) (y1, y2)′
= s + r .
· ·
dt
· ·
dt
1J-4 a) Since P moves on a sphere, say of radius a,
x(t)2
+ y(t)2
+ z(t)2
= a2
;
Differentiating,
′ ′ ′
2xx + 2yy + 2zz = 0,
′ ′ ′ ′
which says that x i + y j + z k x i + y j + z k = 0 for all t, i.e., r r = 0.
· ·
b) Since by hypothesis, r(t) has length a, for all t, we get the chain of implications
dr
|r| = a ⇒ r · r = a2
⇒ 2r ·
dt
= 0 ⇒ r · v = 0.
c) Using first the result in Exercise 1J-3, then r · r = |r|2
, we have
r v = 0
· ⇒
dt
d
r · r = 0 ⇒ r · r = c, a constant, ⇒ |r| =
√
c,
which shows that the head of r moves on a sphere of radius
√
c.
d
1J-5 a) |v| = c ⇒ v · v = c2
⇒
dt
v · v = 2v · a = 0, by 1J-3. Therefore the
velocity and acceleration vectors are perpendicular.
d
b) v a = 0 dt
· ⇒ v · v = 0 ⇒ v · v = a ⇒ |v| =
√
a, which shows
the speed is constant.
1J-6 a) r = a cos t i + a sin t j + bt k ; v = −a sin t i + a cos t j + b k ; v =
√
a2 + b2;
v
| |
T = √
a2 + b2
; a = −a(cos t i + sin t j )
80. � �
�
�
�
� � � �� �
� � � �� �;
�
12 S. 18.02 SOLUTIONS TO EXERCISES
b) By direct calculation using the components, we see that v a = 0; this also
·
follows theoretically from Exercise 1J-5b, since the speed is constant.
1J-7 a) The criterion is v = 1; namely, if we measure arclength s so s = 0 when t = 0,
| |
then since s increases with t,
|v| = 1 ⇒ ds/dt = 1 ⇒ s = t + c ⇒ s = t .
a = 1/
√
b)
2.
r = (x0 + at) i + (y0 + at) j ; v = a( i + j ); |v| = a
√
2; therefore choose
c) Choose a and b to be non-negative numbers such that a2
+ b2
= 1; then v| = 1.
1J-8 a) Let r = x(t) i + y(t) j ; then u(t)r(t) = ux i + uy j , and differentiation gives
(ur)′
= (ux)′
i +(uy)′
j = (u′
x+ux′
) i +(u′
y+uy′
) j = u′
(x i +y j )+u(x′
i +y′
j) = u′
r+ur′
.
d
b) et
(cos t i + sin t j ) = et
(cos t i + sin t j ) + et
(− sin t i + cos t j )
dt � �
= et
(cos t − sin t) i + (sin t + cos t) j .
Therefore |v| = et�(cos t − sin t) i + (sin t + cos t) j � = 2et
, after calculation.
1J-9 a) r = 3 cos t i + 5 sin t j + 4 cos t k ⇒ |r| = 25 cos2 t + 25 sin2
t = 5.
b) v = −3 sin t i + 5 cos t j − 4 sin t k ; therefore |v| = 25 cos2 t + 25 sin2
t = 5.
c) a = dv/dt = −3 cos t i − 5 sin t j − 4 cos t k = −r
d) By inspection, the x, y, z coordinates of p satisfy 4x − 3z = 0, which is a plane
through the origin.
e) Since by part (a) the point P moves on the surface of a sphere of radius 5
centered at the origin, and by part (d) also in a plane through the origin, its path must be
the intersection of these two surfaces, which is a great circle of radius 5 on the sphere.
1J-10 a) Use the results of Exercise 1J-6:
T =
−a sin t i + a cos t j + b k
; v = a2 + b2 .
√
a2 + b2
| |
By the chain rule,
�dT� �dT��ds�
=
� dt � � ds �� dt �
therefore
| − a sin t i + a cos t j |
= κ a2 + b2 ;
√
a2 + b2
since the numerator on the left has the value a , we get
| |
κ =
a2
|
+
a|
b2
.
b) If b = 0, the helix is a circle of radius a in the xy-plane, and κ = .
| |
|a|
1
81. �
13
1. VECTORS AND MATRICES
1K. Kepler’s Second Law
′ ′
d x1y1 + x1y1+
1K-1 (x1y1 + x2y2) =
dt x2
′
y2 + x2y2
′
dr ds
′ ′
Adding the columns, we get: �x1, x2� · �y1, y2� + �x1, x2� · �y1, y2� =
dt
· s + r ·
dt
.
1K-2 In two dimensions, s(t) = �x(t), y(t)�, s′
(t) = �x′
(t), y′
(t)�.
Therefore s′
(t) = 0 x′
(t) = 0, y′
(t) = 0 x(t) = k1, y(t) = k2 s(t) = (k1, k2)
⇒ ⇒ ⇒
where k1, k2 are constants.
1K-3 Since F is central, we have F = cr; using Newton’s law, a = F/m = (c/m)r; so
c
F = cr r a = r
⇒ × ×
m
r = 0,
d
⇒
dt
(r × v) = r × a = 0
(*) r v = K, a constant vector, by Exercise K-2.
⇒ ×
This last line (*) shows that r is perpendicular to K, and therefore its head (the point P)
lies in the plane through the origin which has K as normal vector. Also, since
dA
|r × v| = 2
dt
, by (2) in the problem statement,
|r × v| = |K|, by (*),
we conclude that
dA 1
dt
=
2
|K| ,
which shows the area is swept out at a constant rate.