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.
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 by forces, area of triangles and moments
The document provides a comprehensive overview of key concepts and formulas regarding vectors and their operations.
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.
Vectors have both magnitude and direction. They can be represented geometrically as directed line segments or algebraically using ordered pairs and notation like arrows. Fundamental vector operations include addition, subtraction, and scalar multiplication. The dot product or inner product of two vectors produces a scalar value that depends on their magnitudes and the angle between them. It has various applications including finding the angle between vectors and calculating work done by a force.
Vector Product of Two Vectors
The vector product, or cross product, of two vectors A and B is a vector C defined as C=A ́B. The magnitude of C is equal to AxBy, where Ax and By are the components of A and B. The direction of C is perpendicular to both A and B and can be determined using the right-hand rule. The vector product is not commutative, so A ́B is not equal to B ́A. The vector product is used to calculate many physical quantities and results in zero if the vectors are parallel or anti-parallel.
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.
1. The cross product of two vectors gives a vector perpendicular to both vectors, with magnitude equal to the area of the parallelogram formed by the two vectors.
2. If two adjacent sides of a parallelogram are given by vectors a and b, the area of the parallelogram is |a x b|.
3. If the position vectors of three vertices of a triangle are given, the area of the triangle can be found as 1/2 times the magnitude of the cross product of any two sides of the triangle.
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.
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 by forces, area of triangles and moments
The document provides a comprehensive overview of key concepts and formulas regarding vectors and their operations.
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.
Vectors have both magnitude and direction. They can be represented geometrically as directed line segments or algebraically using ordered pairs and notation like arrows. Fundamental vector operations include addition, subtraction, and scalar multiplication. The dot product or inner product of two vectors produces a scalar value that depends on their magnitudes and the angle between them. It has various applications including finding the angle between vectors and calculating work done by a force.
Vector Product of Two Vectors
The vector product, or cross product, of two vectors A and B is a vector C defined as C=A ́B. The magnitude of C is equal to AxBy, where Ax and By are the components of A and B. The direction of C is perpendicular to both A and B and can be determined using the right-hand rule. The vector product is not commutative, so A ́B is not equal to B ́A. The vector product is used to calculate many physical quantities and results in zero if the vectors are parallel or anti-parallel.
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.
1. The cross product of two vectors gives a vector perpendicular to both vectors, with magnitude equal to the area of the parallelogram formed by the two vectors.
2. If two adjacent sides of a parallelogram are given by vectors a and b, the area of the parallelogram is |a x b|.
3. If the position vectors of three vertices of a triangle are given, the area of the triangle can be found as 1/2 times the magnitude of the cross product of any two sides of the triangle.
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.
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 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.
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.
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:
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 presentation discusses vectors and their key properties. It begins by defining a vector as a quantity that has both magnitude and direction, and provides examples such as displacement, velocity, and acceleration. It then covers the importance of vectors in physics, the properties of vectors including their representation using arrows, and different types of vectors such as null and free vectors. The presentation also explains how to add and subtract vectors, resolve a vector into components, and calculate the scalar and cross products of vectors. It provides formulas for these operations and discusses their significance.
This document defines key terms and concepts related to vectors, including:
- A vector is a quantity that has both magnitude and direction, represented by a directed line segment.
- The position vector of a point P(a,b,c) with respect to the origin (0,0,0) is denoted as OP=ai+bj+ck.
- The sum of two vectors a and b represented by the sides of a triangle taken in order is equal to the third side of the triangle taken in the opposite order, according to the triangle law of addition.
- The scalar (dot) product and cross product of vectors are defined, and properties such as commutativity and relationships to angles between vectors
This document defines key terms and concepts related to vectors, including:
- A vector is a quantity that has both magnitude and direction, represented by a directed line segment.
- The position vector of a point P(a,b,c) with respect to the origin (0,0,0) is represented as OP = ai + bj + ck.
- The sum of two vectors a and b is represented geometrically by the third side of a triangle formed by the two vectors in order.
- Scalar (dot) product and cross product are defined for two vectors, with properties such as commutativity and relationships to angles between the vectors discussed.
- Scalar triple product represents the volume of
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 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.
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.
Scalar: A scalar is a quantity that has only magnitude.
Quantities such as time, mass, distance, temperature, entropy, electric potential, and population are scalars
Vector: The quantities which have magnitude as well as direction are termed as vector quantities.
Examples are velocity, acceleration, force, momentum etc.
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.
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
The document provides an overview of tensor calculus and its notations. It discusses two methods for representing tensors: direct notation which treats tensors as invariant objects, and index notation which uses tensor components. The direct notation is preferred. Basic operations for vectors and second rank tensors are defined, including addition, scalar multiplication, dot products, cross products, and properties. Polar and axial vectors are distinguished. Guidelines are given for tensor calculus notation and rules used throughout the work.
The document discusses determinants of matrices and their geometric interpretations. It begins by defining a matrix as a rectangular table of numbers or formulas. It then explains that the determinant of a 2x2 matrix gives the signed area of the parallelogram defined by the row vectors of the matrix. The sign of the determinant indicates whether the parallelogram is swept clockwise or counterclockwise. Finally, it generalizes these concepts to 3x3 matrices by writing out the formula for the determinant as a sum of signed areas of parallelograms.
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.
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.
The document discusses vectors and trigonometry. It begins by defining vectors as quantities with both magnitude and direction, such as displacement and velocity. It then covers geometric descriptions of vectors using arrows to represent direction. It also discusses vector operations like addition and scalar multiplication analytically and geometrically. Finally, it shows how vectors can model velocity and how to calculate the true velocity of an object when it experiences additional velocities like wind.
The document discusses dot and cross products of vectors. The dot product of two vectors A and B is defined as ABcosθ, where θ is the angle between them. It results in a scalar quantity and obeys the commutative law. The cross product of two vectors A and B is defined as ABsinθ with a direction perpendicular to A and B. It results in a vector quantity and does not obey the commutative law. The dot product is used to find projections and the angle between vectors, while the cross product is used to find the area of a parallelogram or triangle formed by vectors and the torque on a vector.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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.
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.
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:
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 presentation discusses vectors and their key properties. It begins by defining a vector as a quantity that has both magnitude and direction, and provides examples such as displacement, velocity, and acceleration. It then covers the importance of vectors in physics, the properties of vectors including their representation using arrows, and different types of vectors such as null and free vectors. The presentation also explains how to add and subtract vectors, resolve a vector into components, and calculate the scalar and cross products of vectors. It provides formulas for these operations and discusses their significance.
This document defines key terms and concepts related to vectors, including:
- A vector is a quantity that has both magnitude and direction, represented by a directed line segment.
- The position vector of a point P(a,b,c) with respect to the origin (0,0,0) is denoted as OP=ai+bj+ck.
- The sum of two vectors a and b represented by the sides of a triangle taken in order is equal to the third side of the triangle taken in the opposite order, according to the triangle law of addition.
- The scalar (dot) product and cross product of vectors are defined, and properties such as commutativity and relationships to angles between vectors
This document defines key terms and concepts related to vectors, including:
- A vector is a quantity that has both magnitude and direction, represented by a directed line segment.
- The position vector of a point P(a,b,c) with respect to the origin (0,0,0) is represented as OP = ai + bj + ck.
- The sum of two vectors a and b is represented geometrically by the third side of a triangle formed by the two vectors in order.
- Scalar (dot) product and cross product are defined for two vectors, with properties such as commutativity and relationships to angles between the vectors discussed.
- Scalar triple product represents the volume of
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 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.
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.
Scalar: A scalar is a quantity that has only magnitude.
Quantities such as time, mass, distance, temperature, entropy, electric potential, and population are scalars
Vector: The quantities which have magnitude as well as direction are termed as vector quantities.
Examples are velocity, acceleration, force, momentum etc.
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.
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
The document provides an overview of tensor calculus and its notations. It discusses two methods for representing tensors: direct notation which treats tensors as invariant objects, and index notation which uses tensor components. The direct notation is preferred. Basic operations for vectors and second rank tensors are defined, including addition, scalar multiplication, dot products, cross products, and properties. Polar and axial vectors are distinguished. Guidelines are given for tensor calculus notation and rules used throughout the work.
The document discusses determinants of matrices and their geometric interpretations. It begins by defining a matrix as a rectangular table of numbers or formulas. It then explains that the determinant of a 2x2 matrix gives the signed area of the parallelogram defined by the row vectors of the matrix. The sign of the determinant indicates whether the parallelogram is swept clockwise or counterclockwise. Finally, it generalizes these concepts to 3x3 matrices by writing out the formula for the determinant as a sum of signed areas of parallelograms.
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.
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.
The document discusses vectors and trigonometry. It begins by defining vectors as quantities with both magnitude and direction, such as displacement and velocity. It then covers geometric descriptions of vectors using arrows to represent direction. It also discusses vector operations like addition and scalar multiplication analytically and geometrically. Finally, it shows how vectors can model velocity and how to calculate the true velocity of an object when it experiences additional velocities like wind.
The document discusses dot and cross products of vectors. The dot product of two vectors A and B is defined as ABcosθ, where θ is the angle between them. It results in a scalar quantity and obeys the commutative law. The cross product of two vectors A and B is defined as ABsinθ with a direction perpendicular to A and B. It results in a vector quantity and does not obey the commutative law. The dot product is used to find projections and the angle between vectors, while the cross product is used to find the area of a parallelogram or triangle formed by vectors and the torque on a vector.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
2. VECTORS AND THE GEOMETRY OF SPACE
So far, we have added
two vectors and multiplied
a vector by a scalar.
3. VECTORS AND THE GEOMETRY OF SPACE
The question arises:
Is it possible to multiply two vectors
so that their product is a useful quantity?
4. One such product is the dot
product, which we will discuss
in this section.
VECTORS AND THE GEOMETRY OF SPACE
5. Another is the cross product,
which we will discuss in Section
12.4
VECTORS AND THE GEOMETRY OF SPACE
6. 12.3
The Dot Product
In this section, we will learn about:
Various concepts related to the dot product
and its applications.
VECTORS AND THE GEOMETRY OF SPACE
7. If a = ‹a1, a2, a3› and b = ‹b1, b2, b3›, then
the dot product of a and b is the number a • b
given by:
a • b = a1b1 + a2b2 + a3b3
THE DOT PRODUCT Definition 1
8. Thus, to find the dot product of a and b,
we multiply corresponding components
and add.
DOT PRODUCT
9. The result is not a vector.
It is a real number, that is, a scalar.
For this reason, the dot product is sometimes
called the scalar product (or inner product).
SCALAR PRODUCT
10. Though Definition 1 is given for three-
dimensional (3-D) vectors, the dot product
of two-dimensional vectors is defined in
a similar fashion:
‹a1, a2› ∙ ‹b1, b2› = a1b1 + a2b2
DOT PRODUCT
12. The dot product obeys many of the laws
that hold for ordinary products of real
numbers.
These are stated in the following theorem.
DOT PRODUCT
13. If a, b, and c are vectors in V3 and c is
a scalar, then
PROPERTIES OF DOT PRODUCT
2
1. =| |
2.
3. ( )
4. ( ) ( ) ( )
5. 0 0
c c c
a a a
a b b a
a b c a b a c
a b a b a b
a
Theorem 2
14. These properties are easily proved
using Definition 1.
For instance, the proofs of Properties 1 and 3
are as follows.
DOT PRODUCT PROPERTIES
15. a ∙ a
= a1
2 + a2
2 + a3
2
= |a|2
DOT PRODUCT PROPERTY 1 Proof
17. The proofs of the remaining
properties are left as exercises.
DOT PRODUCT PROPERTIES
18. The dot product a • b can be given
a geometric interpretation in terms of
the angle θ between a and b.
This is defined to be the angle between
the representations of a and b that start
at the origin, where 0 ≤ θ ≤ π.
GEOMETRIC INTERPRETATION
19. In other words, θ is the angle between
the line segments and here.
Note that if a and b
are parallel vectors,
then θ = 0 or θ = π.
GEOMETRIC INTERPRETATION
OA OB
20. The formula in the following theorem
is used by physicists as the definition
of the dot product.
DOT PRODUCT
21. If θ is the angle between the vectors
a and b, then
a ∙ b = |a||b| cos θ
DOT PRODUCT—DEFINITION Theorem 3
22. If we apply the Law of Cosines to triangle OAB
here, we get:
|AB|2 = |OA|2 + |OB|2 – 2|OA||OB| cos θ
Observe that
the Law of Cosines
still applies in
the limiting cases
when θ = 0 or π, or
a = 0 or b = 0
DOT PRODUCT—DEFINITION Proof—Equation 4
24. So, Equation 4 becomes:
|a – b|2 = |a|2 + |b|2 – 2|a||b| cos θ
DOT PRODUCT—DEFINITION Proof—Equation 5
25. Using Properties 1, 2, and 3 of the dot
product, we can rewrite the left side of
the equation as follows:
|a – b|2 = (a – b) ∙ (a – b)
= a ∙ a – a ∙ b – b ∙ a + b ∙ b
= |a|2 – 2a ∙ b + |b|2
DOT PRODUCT—DEFINITION Proof
26. Therefore, Equation 5 gives:
|a|2 – 2a ∙ b + |b|2 = |a|2 + |b|2 – 2|a||b| cos θ
Thus,
–2a ∙ b = –2|a||b| cos θ
or
a ∙ b = |a||b| cos θ
DOT PRODUCT—DEFINITION Proof
27. If the vectors a and b have lengths 4
and 6, and the angle between them is π/3,
find a ∙ b.
Using Theorem 3, we have:
a ∙ b = |a||b| cos(π/3)
= 4 ∙ 6 ∙ ½
= 12
DOT PRODUCT Example 2
28. The formula in Theorem 3
also enables us to find the angle
between two vectors.
DOT PRODUCT
29. If θ is the angle between the nonzero
vectors a and b, then
cos
| || |
a b
a b
NONZERO VECTORS Corollary 6
30. Find the angle between the vectors
a = ‹2, 2, –1› and b = ‹5, –3, 2›
NONZERO VECTORS Example 3
31. Also,
a ∙ b = 2(5) + 2(–3) +(–1)(2) = 2
NONZERO VECTORS Example 3
2 2 2
2 2 2
| | 2 2 ( 1) 3
and
| | 5 ( 3) 2 38
a
b
32. Thus, from Corollary 6, we have:
So, the angle between a and b is:
NONZERO VECTORS
2
cos
| || | 3 38
a b
a b
Example 3
1 2
cos 1.46 (or 84 )
3 38
33. Two nonzero vectors a and b are called
perpendicular or orthogonal if the angle
between them is θ = π/2.
ORTHOGONAL VECTORS
34. Then, Theorem 3 gives:
a ∙ b = |a||b| cos(π/2) = 0
Conversely, if a ∙ b = 0, then cos θ = 0;
so, θ = π/2.
ORTHOGONAL VECTORS
35. The zero vector 0 is considered to be
perpendicular to all vectors.
Therefore, we have the following method for
determining whether two vectors are orthogonal.
ZERO VECTORS
36. Two vectors a and b are orthogonal
if and only if
a ∙ b = 0
ORTHOGONAL VECTORS Theorem 7
37. Show that 2i + 2j – k is perpendicular
to 5i – 4j + 2k.
(2i + 2j – k) ∙ (5i – 4j + 2k)
= 2(5) + 2(–4) + (–1)(2)
= 0
So, these vectors are perpendicular
by Theorem 7.
ORTHOGONAL VECTORS Example 4
38. As cos θ > 0 if 0 ≤ θ < π/2 and cos θ < 0
if π/2 < θ ≤ π, we see that a ∙ b is positive
for θ < π/2 and negative for θ > π/2.
We can think of a ∙ b as measuring the extent
to which a and b point in the same direction.
DOT PRODUCT
39. The dot product a ∙ b is:
Positive, if a and b point in the same general direction
Zero, if they are
perpendicular
Negative, if they point
in generally opposite
directions
DOT PRODUCT
40. In the extreme case where a and b
point in exactly the same direction,
we have θ = 0.
So, cos θ = 1 and
a ∙ b = |a||b|
DOT PRODUCT
41. If a and b point in exactly opposite
directions, then θ = π.
So, cos θ = –1 and
a ∙ b = –|a| |b|
DOT PRODUCT
42. The direction angles of a nonzero vector a
are the angles α, β, and γ (in the interval
[0, π]) that a makes with the positive x-, y-,
and z-axes.
DIRECTION ANGLES
43. The cosines of these direction angles—cos α,
cos β, and cos γ—are called the direction
cosines of the vector a.
DIRECTION COSINES
44. Using Corollary 6 with b replaced by i,
we obtain:
DIRECTION ANGLES & COSINES Equation 8
1
cos
| || | | |
a
a i
a i a
45. This can also be seen directly from
the figure.
DIRECTION ANGLES & COSINES
46. Similarly, we also have:
DIRECTION ANGLES & COSINES
3
2
cos cos
| | | |
a
a
a a
Equation 9
47. By squaring the expressions
in Equations 8 and 9 and adding,
we see that:
DIRECTION ANGLES & COSINES Equation 10
2 2 2
cos cos cos 1
48. We can also use Equations 8 and 9
to write:
a = ‹a1, a2, a3›
= ‹|a| cos α, |a| cos β, |a| cos γ›
= |a|‹cos α, cos β, cos γ›
DIRECTION ANGLES & COSINES
49. Therefore,
This states that the direction cosines of a
are the components of the unit vector in
the direction of a.
DIRECTION ANGLES & COSINES
1
cos ,cos ,cos
| |
a
a
Equation 11
50. Find the direction angles of the vector
a = ‹1, 2, 3›
So, Equations 8 and 9 give:
DIRECTION ANGLES & COSINES Example 5
2 2 2
| | 1 2 3 14
a
1 2 3
cos cos cos
14 14 14
52. The figure shows representations and
of two vectors a and b with the same initial
point P.
PROJECTIONS
PQ PR
53. Let S be the foot of the perpendicular
from R to the line containing .
PROJECTIONS
PQ
54. Then, the vector with representation is
called the vector projection of b onto a and is
denoted by proja b.
You can think of it as a shadow of b.
VECTOR PROJECTION
PS
55. The scalar projection of b onto a
(also called the component of b along a)
is defined to be the signed magnitude
of the vector projection.
SCALAR PROJECTION
56. This is the number |b| cos θ, where θ
is the angle between a and b.
This is denoted
by compa b.
Observe that
it is negative
if π/2 < θ ≤ π.
PROJECTIONS
57. The equation
a ∙ b = |a||b| cos θ = |a|(|b| cos θ)
shows that:
The dot product of a and b can be interpreted
as the length of a times the scalar projection of b
onto a.
PROJECTIONS
58. Since
the component of b along a can be
computed by taking the dot product of b
with the unit vector in the direction of a.
PROJECTIONS
| | cos
| | | |
a b a
b b
a a
60. Scalar projection of b onto a:
Vector projection of b onto a:
Notice that the vector projection
is the scalar projection times
the unit vector in the direction of a.
PROJECTIONS
a
comp
| |
a b
b
a
a 2
proj
| | | | | |
a b a a b
b a
a a a
61. Find the scalar and vector projections of:
b = ‹1, 1, 2› onto a = ‹–2 , 3, 1›
PROJECTIONS Example 6
62. Since
the scalar projection of b onto a is:
PROJECTIONS Example 6
2 2 2
| | ( 2) 3 1 14
a
a
( 2)(1) 3(1) 1(2)
comp
| | 14
3
14
a b
b
a
63. The vector projection is that scalar projection
times the unit vector in the direction of a:
PROJECTIONS
a
3 3
proj
| | 14
14
3 9 3
, ,
7 14 14
a
b a
a
Example 6
64. One use of projections occurs
in physics in calculating work.
APPLICATIONS OF PROJECTIONS
65. In Section 6.4, we defined the work done
by a constant force F in moving an object
through a distance d as:
W = Fd
This, however, applies only when the force is
directed along the line of motion of the object.
CALCULATING WORK
66. However, suppose that the constant force
is a vector pointing in some other
direction, as shown.
CALCULATING WORK
PR
F
67. If the force moves the object from
P to Q, then the displacement vector
is .
CALCULATING WORK
PQ
D
68. The work done by this force is defined to be
the product of the component of the force
along D and the distance moved:
W = (|F| cos θ)|D|
CALCULATING WORK
69. However, from Theorem 3,
we have:
W = |F||D| cos θ
= F ∙ D
CALCULATING WORK Equation 12
70. Therefore, the work done by a constant
force F is:
The dot product F ∙ D, where D is
the displacement vector.
CALCULATING WORK
71. A wagon is pulled a distance of 100 m along
a horizontal path by a constant force of 70 N.
The handle of the wagon is held at an angle
of 35° above the horizontal.
Find the work
done by the force.
CALCULATING WORK Example 7
72. Suppose F and D are the force and
displacement vectors, as shown.
CALCULATING WORK Example 7
73. Then, the work done is:
W = F ∙ D = |F||D| cos 35°
= (70)(100) cos 35°
≈ 5734 N∙m
= 5734 J
CALCULATING WORK Example 7
74. A force is given by a vector F = 3i + 4j + 5k
and moves a particle from the point P(2, 1, 0)
to the point Q(4, 6, 2).
Find the work done.
CALCULATING WORK Example 8
75. The displacement vector is
So, by Equation 12, the work done is:
W = F ∙ D
= ‹3, 4, 5› ∙ ‹2, 5, 2›
= 6 + 20 + 10 = 36
If the unit of length is meters and the magnitude
of the force is measured in newtons, then the work
done is 36 joules.
CALCULATING WORK
2,5,2
PQ
D
Example 8