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).
The document discusses properties of real numbers, operations on real numbers such as addition, multiplication, and their identities. It also discusses conic sections, their equations and properties. Finally, it covers topics in trigonometry, vectors, complex numbers, and other mathematical functions and formulas.
This document discusses analytic geometry and ellipses. It begins with objectives of defining key terms of conic sections like ellipses, and solving equations and real-world problems involving ellipses. An activity is described where students can draw an ellipse using a rubber band stretched between two pins. Examples of completed ellipses are shown along with their equations and key properties labeled like foci, vertices, axes, and eccentricity. Students are given practice problems to find properties of ellipses based on given information.
The document contains 11 multi-part math problems involving vector calculus concepts like divergence, flux, and curl. It provides the problems, calculations, and answers for finding things like the angle between two vectors, components of a vector field, and evaluating vector expressions at given points and over surfaces using theorems like divergence and Stokes' theorem.
The document discusses ellipses and provides definitions and examples. It defines an ellipse as a set of points where the sum of the distances from two focal points is constant. It discusses the major and minor axes, with the major axis containing the two focal points. Horizontal and vertical ellipses are examined, with their standard equations presented. Key features like the center, vertices, and foci are indicated for both horizontal and vertical ellipses.
This document discusses transformations of geometric figures in the coordinate plane. It begins with examples of drawing pre-images and images of figures after translations, reflections, rotations, and dilations, and identifying the specific transformation. It then discusses properties of rigid motions/isometries and using transformations to determine if figures are congruent. Examples prove that figures are congruent through a sequence of transformations.
The document discusses distance formula and section formula to find the coordinates of points on a plane. It explains how to find the distance between two given points using the distance formula. It also describes how to find the coordinates of a point C that divides the line segment between points A and B in a given ratio using the section formula. The document provides examples of finding coordinates of circumcenter and incenter of a triangle given its vertices. It concludes with some assignment questions related to these concepts.
The document discusses the unit circle and trigonometric functions. It defines the unit circle as having a radius of 1 unit and center at the origin (0,0). The equation of the unit circle is provided as x2 + y2 = 1. Quadrantal angles are defined as angles whose terminal rays lie along one of the axes at 90°, 180°, 270°, and 360°. Trigonometric functions are defined in terms of the x- and y-coordinates on the unit circle. Special right triangles and their properties are also discussed.
This document discusses exponential and logarithmic functions and equations. It begins by defining exponential equations as equations where the variable appears as an exponent of a constant or variable base. It provides a method for solving exponential equations by reducing both sides of the equation to the same base and then equating the exponents. The document then provides 13 worked examples of solving various exponential equations. It explores properties of exponential functions like the multiplication of powers with the same base and solving systems of exponential equations. The goal is to demonstrate methods for solving different types of exponential equations.
The document discusses properties of real numbers, operations on real numbers such as addition, multiplication, and their identities. It also discusses conic sections, their equations and properties. Finally, it covers topics in trigonometry, vectors, complex numbers, and other mathematical functions and formulas.
This document discusses analytic geometry and ellipses. It begins with objectives of defining key terms of conic sections like ellipses, and solving equations and real-world problems involving ellipses. An activity is described where students can draw an ellipse using a rubber band stretched between two pins. Examples of completed ellipses are shown along with their equations and key properties labeled like foci, vertices, axes, and eccentricity. Students are given practice problems to find properties of ellipses based on given information.
The document contains 11 multi-part math problems involving vector calculus concepts like divergence, flux, and curl. It provides the problems, calculations, and answers for finding things like the angle between two vectors, components of a vector field, and evaluating vector expressions at given points and over surfaces using theorems like divergence and Stokes' theorem.
The document discusses ellipses and provides definitions and examples. It defines an ellipse as a set of points where the sum of the distances from two focal points is constant. It discusses the major and minor axes, with the major axis containing the two focal points. Horizontal and vertical ellipses are examined, with their standard equations presented. Key features like the center, vertices, and foci are indicated for both horizontal and vertical ellipses.
This document discusses transformations of geometric figures in the coordinate plane. It begins with examples of drawing pre-images and images of figures after translations, reflections, rotations, and dilations, and identifying the specific transformation. It then discusses properties of rigid motions/isometries and using transformations to determine if figures are congruent. Examples prove that figures are congruent through a sequence of transformations.
The document discusses distance formula and section formula to find the coordinates of points on a plane. It explains how to find the distance between two given points using the distance formula. It also describes how to find the coordinates of a point C that divides the line segment between points A and B in a given ratio using the section formula. The document provides examples of finding coordinates of circumcenter and incenter of a triangle given its vertices. It concludes with some assignment questions related to these concepts.
The document discusses the unit circle and trigonometric functions. It defines the unit circle as having a radius of 1 unit and center at the origin (0,0). The equation of the unit circle is provided as x2 + y2 = 1. Quadrantal angles are defined as angles whose terminal rays lie along one of the axes at 90°, 180°, 270°, and 360°. Trigonometric functions are defined in terms of the x- and y-coordinates on the unit circle. Special right triangles and their properties are also discussed.
This document discusses exponential and logarithmic functions and equations. It begins by defining exponential equations as equations where the variable appears as an exponent of a constant or variable base. It provides a method for solving exponential equations by reducing both sides of the equation to the same base and then equating the exponents. The document then provides 13 worked examples of solving various exponential equations. It explores properties of exponential functions like the multiplication of powers with the same base and solving systems of exponential equations. The goal is to demonstrate methods for solving different types of exponential equations.
The document provides information about coordinate geometry and straight lines. It defines key concepts like the Cartesian plane, distance between points, slopes of lines, equations of lines in various forms, and transformations of graphs. It also gives examples of determining the type of triangles based on side lengths and slopes, finding equations of lines satisfying given conditions, and identifying collinear points. Practice problems are included at the end to test the understanding of these geometric and algebraic concepts.
This document discusses dilations and similarity in coordinate geometry. It begins with examples of dilating figures by multiplying the coordinates of vertices by a scale factor. It then demonstrates how to use corresponding parts of similar triangles to find missing coordinates. Several examples prove triangles are similar using side-side-side similarity theorems. In each example, side lengths are calculated using the distance formula and similarity ratios are identified.
The document discusses matrices and determinants. It defines a matrix as a rectangular table with numbers or formulas as entries. It provides examples of 2x2 and 3x3 matrices. The document explains that square matrices have a number called the determinant extracted from them. It then discusses how the 2x2 determinant represents the signed area of a parallelogram defined by the row vectors, and explores properties of the sign of the determinant. Finally, it suggests generalizing these concepts to 3x3 determinants.
This document discusses the unit circle and circular functions. It begins by explaining how the unit circle is used to define trigonometric function values and determine the measure of an angle based on its coordinates. It then defines the circular functions in terms of the unit circle and provides examples of evaluating circular function values both numerically and exactly. The document concludes by explaining linear and angular speed for a point rotating along a circle.
A vector-valued function C(t) describes a parametric curve in 3D space, where each point on the curve is defined by the vector C(t) = (x(t), y(t), z(t)). The functions x(t), y(t), z(t) are called the coordinate functions. C(t) can be written in vector notation as C(t) = x(t)i + y(t)j + z(t)k. The derivative C'(t) gives the tangent vector to the curve at t and can be defined as the limit of (C(t+h) - C(t))/h as h approaches 0.
Here are the steps to find the centroid of each given plane region:
1. Region bounded by y = 10x - x^2, x-axis, x = 2, x = 5:
- Set up the integral to find the area A: ∫2^5 (10x - x^2) dx
- Evaluate the integral: A = 96
- Set up the integrals to find the x- and y-moments: ∫2^5 x(10x - x^2) dx and ∫2^5 (10x - x^2)x dx
- Evaluate the integrals: Mx = 192, My = 960
- Use the formulas for centroid: C
The document discusses trigonometric angle formulas including:
- Difference-sum formulas for cosine and sine
- Double-angle formulas derived by setting A=B in the sum formulas
- Half-angle formulas in terms of radicals
It provides examples of using the formulas to find values like cos(11π/12) and sin(-π/12) without a calculator.
The document discusses quadratic functions f(x) = ax^2 + bx + c. It defines quadratic functions and discusses their graphs, concavity, zeros (roots), vertex, axis of symmetry, and examples of sketching graphs of specific quadratic functions. It provides formulas for determining the vertex coordinates and zeros. Examples are worked out finding the domain, image, zeros, y-intercept, and sketching the graph for functions like f(x) = x^2 - 4x + 3.
The document provides the step-by-step solution to solving a hyperbola equation in standard form. It gives the center, vertices, foci, transverse and conjugate axes, and asymptotes. It then solves two word problems involving hyperbolas, determining the distance between houses shaped as branches of a hyperbola based on the given equation.
The document discusses multi-variable functions and how to visualize them. It defines Rn as the set of n-tuples of real numbers. A n-variable real valued function maps from Rn to the real numbers. Level curves are used to visualize functions of two variables by setting z equal to constants and plotting the resulting equations in the x-y plane. This produces families of curves that depict the shape of the surface. Examples show how different functions produce different level curve shapes like ellipses, hyperbolas or parabolas.
This document provides information about trigonometry including definitions of trigonometric ratios, quadrant values, trigonometric identities, and example problems. It begins with definitions of sine, cosine, and tangent ratios. It then covers key topics like trigonometric ratios in each quadrant, trigonometric identities, addition and subtraction formulas, multiplication formulas, and example problems with solutions. The document is a lesson plan on trigonometry concepts and formulas for a high school math class.
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 provides information about conic sections and ellipses, including:
- The standard form equation of an ellipse is given
- Steps are shown to find the center, vertices, foci, minor axis length, and major axis length of an ellipse given in standard form
- A problem is presented to find the equation of an ellipse given its center, a focus point, and major axis length
- Another problem describes a semi-elliptical bridge arch and asks to find the height at its center given the span, a point on the arch, and diagram.
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.
A circle is defined as all points that are equidistant from a fixed center point. The distance from the center point to any point on the circle is called the radius. The standard equation for a circle is x2 + y2 = r2, where the center is at the origin and r is the radius. This clearly shows the center and radius of the circle. More generally, the equation can be written as x2 + y2 + Dx + Ey + F = 0, where the values of D, E, and F depend on the coordinates of the center point and the radius.
The document discusses calculating the area swept out by a polar function r=f(θ) between the angles θ=a and θ=b. The polar area formula is given as A = (1/2) ∫f(θ)2 dθ. Formulas are derived to integrate the squares of sine and cosine in terms of the cosine double angle. These integrals are summarized. An example problem finds the area swept by r=2sin(θ) between 0 and 2π, which is 2π, the area of a circle with radius 1 swept out twice.
This presentation summarizes key information about the general equation of second degree and conic sections. It defines the general equation of second degree as involving at least one variable squared. It describes how this equation defines different conic sections depending on the values of coefficients a, b, and h. Specifically, it represents a pair of lines, a circle, parabola, ellipse, or hyperbola. The presentation provides examples of reducing a second degree equation to standard form and finding the equations of related shapes like the latus rectum and directrices.
This presentation summarizes the key aspects of the general equation of second degree and how it represents different conic sections. It defines the general equation as ax2 + 2hxy + by2 + 2gx + 2fy + c = 0, and explains how the coefficients relate to the type of conic section represented (ellipse, parabola, hyperbola). It provides examples of reducing specific quadratic equations into standard form and finding the equations of associated geometric elements like the directrix, latus rectum, and axes. The presentation concludes by thanking the audience and inviting questions.
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 equal to |A||B|cosθ, where θ is the angle between the vectors.
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.
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.
The document provides information about coordinate geometry and straight lines. It defines key concepts like the Cartesian plane, distance between points, slopes of lines, equations of lines in various forms, and transformations of graphs. It also gives examples of determining the type of triangles based on side lengths and slopes, finding equations of lines satisfying given conditions, and identifying collinear points. Practice problems are included at the end to test the understanding of these geometric and algebraic concepts.
This document discusses dilations and similarity in coordinate geometry. It begins with examples of dilating figures by multiplying the coordinates of vertices by a scale factor. It then demonstrates how to use corresponding parts of similar triangles to find missing coordinates. Several examples prove triangles are similar using side-side-side similarity theorems. In each example, side lengths are calculated using the distance formula and similarity ratios are identified.
The document discusses matrices and determinants. It defines a matrix as a rectangular table with numbers or formulas as entries. It provides examples of 2x2 and 3x3 matrices. The document explains that square matrices have a number called the determinant extracted from them. It then discusses how the 2x2 determinant represents the signed area of a parallelogram defined by the row vectors, and explores properties of the sign of the determinant. Finally, it suggests generalizing these concepts to 3x3 determinants.
This document discusses the unit circle and circular functions. It begins by explaining how the unit circle is used to define trigonometric function values and determine the measure of an angle based on its coordinates. It then defines the circular functions in terms of the unit circle and provides examples of evaluating circular function values both numerically and exactly. The document concludes by explaining linear and angular speed for a point rotating along a circle.
A vector-valued function C(t) describes a parametric curve in 3D space, where each point on the curve is defined by the vector C(t) = (x(t), y(t), z(t)). The functions x(t), y(t), z(t) are called the coordinate functions. C(t) can be written in vector notation as C(t) = x(t)i + y(t)j + z(t)k. The derivative C'(t) gives the tangent vector to the curve at t and can be defined as the limit of (C(t+h) - C(t))/h as h approaches 0.
Here are the steps to find the centroid of each given plane region:
1. Region bounded by y = 10x - x^2, x-axis, x = 2, x = 5:
- Set up the integral to find the area A: ∫2^5 (10x - x^2) dx
- Evaluate the integral: A = 96
- Set up the integrals to find the x- and y-moments: ∫2^5 x(10x - x^2) dx and ∫2^5 (10x - x^2)x dx
- Evaluate the integrals: Mx = 192, My = 960
- Use the formulas for centroid: C
The document discusses trigonometric angle formulas including:
- Difference-sum formulas for cosine and sine
- Double-angle formulas derived by setting A=B in the sum formulas
- Half-angle formulas in terms of radicals
It provides examples of using the formulas to find values like cos(11π/12) and sin(-π/12) without a calculator.
The document discusses quadratic functions f(x) = ax^2 + bx + c. It defines quadratic functions and discusses their graphs, concavity, zeros (roots), vertex, axis of symmetry, and examples of sketching graphs of specific quadratic functions. It provides formulas for determining the vertex coordinates and zeros. Examples are worked out finding the domain, image, zeros, y-intercept, and sketching the graph for functions like f(x) = x^2 - 4x + 3.
The document provides the step-by-step solution to solving a hyperbola equation in standard form. It gives the center, vertices, foci, transverse and conjugate axes, and asymptotes. It then solves two word problems involving hyperbolas, determining the distance between houses shaped as branches of a hyperbola based on the given equation.
The document discusses multi-variable functions and how to visualize them. It defines Rn as the set of n-tuples of real numbers. A n-variable real valued function maps from Rn to the real numbers. Level curves are used to visualize functions of two variables by setting z equal to constants and plotting the resulting equations in the x-y plane. This produces families of curves that depict the shape of the surface. Examples show how different functions produce different level curve shapes like ellipses, hyperbolas or parabolas.
This document provides information about trigonometry including definitions of trigonometric ratios, quadrant values, trigonometric identities, and example problems. It begins with definitions of sine, cosine, and tangent ratios. It then covers key topics like trigonometric ratios in each quadrant, trigonometric identities, addition and subtraction formulas, multiplication formulas, and example problems with solutions. The document is a lesson plan on trigonometry concepts and formulas for a high school math class.
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 provides information about conic sections and ellipses, including:
- The standard form equation of an ellipse is given
- Steps are shown to find the center, vertices, foci, minor axis length, and major axis length of an ellipse given in standard form
- A problem is presented to find the equation of an ellipse given its center, a focus point, and major axis length
- Another problem describes a semi-elliptical bridge arch and asks to find the height at its center given the span, a point on the arch, and diagram.
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.
A circle is defined as all points that are equidistant from a fixed center point. The distance from the center point to any point on the circle is called the radius. The standard equation for a circle is x2 + y2 = r2, where the center is at the origin and r is the radius. This clearly shows the center and radius of the circle. More generally, the equation can be written as x2 + y2 + Dx + Ey + F = 0, where the values of D, E, and F depend on the coordinates of the center point and the radius.
The document discusses calculating the area swept out by a polar function r=f(θ) between the angles θ=a and θ=b. The polar area formula is given as A = (1/2) ∫f(θ)2 dθ. Formulas are derived to integrate the squares of sine and cosine in terms of the cosine double angle. These integrals are summarized. An example problem finds the area swept by r=2sin(θ) between 0 and 2π, which is 2π, the area of a circle with radius 1 swept out twice.
This presentation summarizes key information about the general equation of second degree and conic sections. It defines the general equation of second degree as involving at least one variable squared. It describes how this equation defines different conic sections depending on the values of coefficients a, b, and h. Specifically, it represents a pair of lines, a circle, parabola, ellipse, or hyperbola. The presentation provides examples of reducing a second degree equation to standard form and finding the equations of related shapes like the latus rectum and directrices.
This presentation summarizes the key aspects of the general equation of second degree and how it represents different conic sections. It defines the general equation as ax2 + 2hxy + by2 + 2gx + 2fy + c = 0, and explains how the coefficients relate to the type of conic section represented (ellipse, parabola, hyperbola). It provides examples of reducing specific quadratic equations into standard form and finding the equations of associated geometric elements like the directrix, latus rectum, and axes. The presentation concludes by thanking the audience and inviting questions.
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 equal to |A||B|cosθ, where θ is the angle between the vectors.
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.
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 document provides instructions for a mathematics exam. It states that calculators may be used, full marks require showing working, and scale drawings will not be credited. It then lists various formulae that may be needed for the exam.
2. The exam consists of 11 multi-part questions testing a range of mathematics skills, including algebra, geometry, trigonometry, calculus and graph sketching. Candidates are advised to attempt all questions.
3. The document concludes by providing blank pages for working, followed by a notice that the exam has ended.
This module discusses coordinate proofs and properties of circles on the coordinate plane. It introduces coordinate proofs as an analytical method of proving geometric theorems by using the coordinates of points and algebraic relationships. Examples demonstrate proving properties of triangles and quadrilaterals analytically. The standard form of the equation of a circle is derived from the distance formula as (x - h)2 + (y - k)2 = r2, where (h, k) is the center and r is the radius. Finding the center, radius, and equation of circles in various forms are illustrated.
The document presents solutions to 6 problems:
1) Finding the maximum area of a quadrilateral inscribed in a circle.
2) Proving that 30 divides the difference of two prime number sets with differences of 8.
3) Showing polynomials with integer coefficients satisfy a recursive relation.
4) Determining the number of points dividing a triangle into equal area triangles.
5) Proving an acute triangle is equilateral given conditions on angle bisectors and altitudes.
6) Characterizing a function on integers satisfying two properties.
This document provides instructions for a mathematics exam. It states that calculators may be used, full marks require showing working, and answers from scale drawings will not be credited. It provides a formula sheet and instructs students to attempt all questions. The exam consists of multiple choice and written response questions covering topics like functions, vectors, trigonometry, and calculus.
1) The document contains examples calculating various vector operations such as finding unit vectors, magnitudes, dot and cross products, and vector components.
2) It also contains examples finding vector fields, surfaces where vector field components are equal to scalars, and demonstrating properties of vector fields such as being everywhere parallel.
3) The document tests understanding of vector concepts through multiple practice problems.
This document provides information on solving problems involving right triangles using trigonometry, including the Law of Sines and Law of Cosines. It includes examples of using trigonometry to solve problems involving angles of elevation/depression, finding areas and volumes, and determining distances. Tables of trigonometric function values are presented along with explanations of evaluating functions in different quadrants using reference angles. Proofs and examples are given for applying the Law of Sines and Law of Cosines to find missing sides and angles of triangles.
1. The document discusses various types of transformations in complex analysis, including translation, rotation, stretching, and inversion.
2. Under inversion (1/w=z), a straight line is mapped to a circle if it does not pass through the origin, and to another straight line if it does pass through the origin. A circle is always mapped to another circle.
3. A general bilinear or Möbius transformation can be expressed as a combination of translation, rotation, stretching, and inversion.
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.
This document discusses line integrals and Green's theorem. It defines line integrals as integrals of scalar or vector fields along a curve, parameterized by arc length. Line integrals may depend on the path taken between two points, but are path-independent for conservative vector fields. Green's theorem relates line integrals around a closed curve to a double integral over the enclosed region, equating the line integral to the curl of the vector field integrated over the region. An example demonstrates using Green's theorem to evaluate a line integral as a double integral.
Mathematics (from Greek μάθημα máthēma, “knowledge, study, learning”) is the study of topics such as quantity (numbers), structure, space, and change. There is a range of views among mathematicians and philosophers as to the exact scope and definition of mathematics
Solution of Differential Equations in Power Series by Employing Frobenius MethodDr. Mehar Chand
In this tutorial, we discuss about the solution of the differential equations in terms of power series. All the cases associated with this attachment has been discussed
The document discusses conic sections and ellipses. Conic sections are graphs of quadratic equations of the form Ax2 + By2 + Cx + Dy = E, where A and B are not both 0. Their graphs include circles, ellipses, parabolas and hyperbolas. Ellipses are defined as the set of all points where the sum of the distances to two fixed foci is a constant. Ellipses have a center, two axes called the semi-major and semi-minor axes, and radii along the x and y axes called the x-radius and y-radius. The standard form of an ellipse equation is presented.
Similar to 9. sum and double half-angle formulas-x (18)
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2. A function f(x) is said to be additive if
f(A ± B) = f(A) ± f(B).
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
3. A function f(x) is said to be additive if
f(A ± B) = f(A) ± f(B).
Trig-functions are not additive.
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
4. A function f(x) is said to be additive if
f(A ± B) = f(A) ± f(B).
Trig-functions are not additive. For example,
sin(π/2 + π/2) = sin(π) = 0 and
sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2) = 1 + 1 = 2.
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
5. A function f(x) is said to be additive if
f(A ± B) = f(A) ± f(B).
Trig-functions are not additive. For example,
sin(π/2 + π/2) = sin(π) = 0 and
sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2) = 1 + 1 = 2.
Hence in general, sin(A ± B) ≠ sin(A) ± sin(B).
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
6. A function f(x) is said to be additive if
f(A ± B) = f(A) ± f(B).
Trig-functions are not additive. For example,
sin(π/2 + π/2) = sin(π) = 0 and
sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2) = 1 + 1 = 2.
Hence in general, sin(A ± B) ≠ sin(A) ± sin(B).
However, we are able to express sin(A ± B)
in term of the sine and cosine of A and B.
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
7. A function f(x) is said to be additive if
f(A ± B) = f(A) ± f(B).
Trig-functions are not additive. For example,
sin(π/2 + π/2) = sin(π) = 0 and
sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2) = 1 + 1 = 2.
Hence in general, sin(A ± B) ≠ sin(A) ± sin(B).
However, we are able to express sin(A ± B)
in term of the sine and cosine of A and B.
We list the formulas for sum and difference of angles,
for the double-angle, then for the half-angle below.
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
8. A function f(x) is said to be additive if
f(A ± B) = f(A) ± f(B).
Trig-functions are not additive. For example,
sin(π/2 + π/2) = sin(π) = 0 and
sin(π/2 + π/2) ≠ sin(π/2) + sin(π/2) = 1 + 1 = 2.
Hence in general, sin(A ± B) ≠ sin(A) ± sin(B).
However, we are able to express sin(A ± B)
in term of the sine and cosine of A and B.
We list the formulas for sum and difference of angles,
for the double-angle, then for the half-angle below.
We simplify the notation by notating respectively
S(A), C(A) and T(A) for sin(A), cos(A) and tan(A).
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
10. Double-Angle Formulas
Sum-Difference of Angles Formulas
S(2A) = 2S(A)C(A)
C(2A) = C2(A) – S2(A)
= 2C2(A) – 1
= 1 – 2S2(A)
1 + C(B)
2
C( ) =
Half-Angle Formulas
±
1 – C(B)
2
S( ) = ±
B
2
B
2
C(A±B) = C(A)C(B) S(A)S(B)–+
S(A±B) = S(A)C(B) ± S(B)C(A)
The cosine difference of angles formula
C(A – B) = C(A)C(B) + S(A)S(B)
is the basis for all the other formulas listed above.
Sum and Difference Angle Formulas
Double-Angle and Half-Angle Formulas
11. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
12. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
A B
(1, 0)
13. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
Rotate both angles by –B, so that
B(s, t)→(1, 0)
A B
(1, 0)
14. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
Rotate both angles by –B, so that
B(s, t)→(1, 0)
A B
(1, 0)
A(u, v)
B(s, t)
(1, 0)
15. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
Rotate both angles by –B, so that
B(s, t)→(1, 0)
A B
(1, 0)
A(u, v)
B(s, t)
(1, 0)
–B
16. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
Rotate both angles by –B, so that
B(s, t)→(1, 0) and A(u, v)→(x, y).
A B
(1, 0)
A(u, v)
B(s, t)
(1, 0)
–B
17. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
Rotate both angles by –B, so that
B(s, t)→(1, 0) and A(u, v)→(x, y).
A(u, v)
B(s, t)
(1, 0)
(x, y)
–B
A B
–B
A–B
(1, 0)
18. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
Rotate both angles by –B, so that
B(s, t)→(1, 0) and A(u, v)→(x, y).
We want to find C(A – B), i.e. x.
A(u, v)
B(s, t)
(1, 0)
(x, y)
–B
A B
–B
A–B
(1, 0)
19. Cosine Sum-Difference of Angles Formulas
Given two angles A and B, then
The Cosine Difference-angle Formula
C(A – B) = C(A)C(B) + S(A)S(B)
Proof:
Let A and B be two angles
with corresponding coordinates
(u, v) and (s, t) on the unit circle as shown.
A(u, v)
B(s, t)
Rotate both angles by –B, so that
B(s, t)→(1, 0) and A(u, v)→(x, y).
We want to find C(A – B), i.e. x.
Equating the distance D which is
unchanged under the rotation, we´ve
√(u – s)2 + (v – t)2 = √(x – 1)2 + (y – 0)2 .
A(u, v)
B(s, t)
D
(1, 0)
(x, y)
D
–B
A B
–B
A–B
(1, 0)
20. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
Cosine Sum-Difference of Angles Formulas
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
A–B
21. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Cosine Sum-Difference of Angles Formulas
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
A–B
22. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Setting u2 + v2 = 1, s2 + t2 = 1 and x2 + y2 = 1
we have 2 – 2us – 2vt = 2 – 2x
Cosine Sum-Difference of Angles Formulas
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
A–B
23. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Setting u2 + v2 = 1, s2 + t2 = 1 and x2 + y2 = 1
we have 2 – 2us – 2vt = 2 – 2x or
x = us+ vt.
Cosine Sum-Difference of Angles Formulas
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
A–B
24. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Setting u2 + v2 = 1, s2 + t2 = 1 and x2 + y2 = 1
we have 2 – 2us – 2vt = 2 – 2x or
x = us+ vt. Writing each coordinate as a trig-value,
x = C(A – B), u = C(A), s = C(B), v = S(A), t = S(B)
we obtain the cosine difference angle formula
C(A – B) = C(A)C(B) + S(A)S(B).
Cosine Sum-Difference of Angles Formulas
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
A–B
25. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Setting u2 + v2 = 1, s2 + t2 = 1 and x2 + y2 = 1
we have 2 – 2us – 2vt = 2 – 2x or
x = us+ vt. Writing each coordinate as a trig-value,
x = C(A – B), u = C(A), s = C(B), v = S(A), t = S(B)
we obtain the cosine difference angle formula
C(A – B) = C(A)C(B) + S(A)S(B).
A–B
Writing C(A + B) = C(A – (–B))
Cosine Sum-Difference of Angles Formulas
26. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Setting u2 + v2 = 1, s2 + t2 = 1 and x2 + y2 = 1
we have 2 – 2us – 2vt = 2 – 2x or
x = us+ vt. Writing each coordinate as a trig-value,
x = C(A – B), u = C(A), s = C(B), v = S(A), t = S(B)
we obtain the cosine difference angle formula
C(A – B) = C(A)C(B) + S(A)S(B).
A–B
Writing C(A + B) = C(A – (–B))
= C(A)C(–B) + S(A)S(–B)
Cosine Sum-Difference of Angles Formulas
27. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Setting u2 + v2 = 1, s2 + t2 = 1 and x2 + y2 = 1
we have 2 – 2us – 2vt = 2 – 2x or
x = us+ vt. Writing each coordinate as a trig-value,
x = C(A – B), u = C(A), s = C(B), v = S(A), t = S(B)
we obtain the cosine difference angle formula
C(A – B) = C(A)C(B) + S(A)S(B).
A–B
Writing C(A + B) = C(A – (–B))
= C(A)C(–B) + S(A)S(–B)
= C(A)C(B) – S(A)S(B) since
C(–B) = C(B) and that S(–B) = – S(B).
Cosine Sum-Difference of Angles Formulas
28. Removing the root so (u – s)2 + (v – t)2 = (x – 1)2 + y2,
A(u, v)
B(s, t)
D
(1, 0)
A–B
(x, y)
D
–B
expanding both sides of the equation we obtain:
u2 – 2us + s2 + v2 – 2vt + t2 = x2 – 2x + 1 + y2
Setting u2 + v2 = 1, s2 + t2 = 1 and x2 + y2 = 1
we have 2 – 2us – 2vt = 2 – 2x or
x = us+ vt. Writing each coordinate as a trig-value,
x = C(A – B), u = C(A), s = C(B), v = S(A), t = S(B)
we obtain the cosine difference angle formula
C(A – B) = C(A)C(B) + S(A)S(B).
A–B
Writing C(A + B) = C(A – (–B))
= C(A)C(–B) + S(A)S(–B)
= C(A)C(B) – S(A)S(B) since
C(–B) = C(B) and that S(–B) = – S(B).
Hence C(A + B) = C(A)C(B) – S(A)S(B)
Cosine Sum-Difference of Angles Formulas
29. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
In summary:
Cosine Sum-Difference of Angles Formulas
30. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
All fractions with denominator 12 may be written as
sums or differences of fractions with denominators
3, 6 and 4.
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
In summary:
Cosine Sum-Difference of Angles Formulas
31. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
All fractions with denominator 12 may be written as
sums or differences of fractions with denominators
3, 6 and 4. For examples:
3
π
12
π
= – 4
π
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
In summary:
Cosine Sum-Difference of Angles Formulas
32. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
All fractions with denominator 12 may be written as
sums or differences of fractions with denominators
3, 6 and 4. For examples:
12
11π = 12
3π
+ 12
8π = 4
π
+ 3
2π
3
π
12
π
= – 4
π
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
;
In summary:
Cosine Sum-Difference of Angles Formulas
33. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
All fractions with denominator 12 may be written as
sums or differences of fractions with denominators
3, 6 and 4. For examples:
12
11π = 12
3π
+ 12
8π = 4
π
+ 3
2π
3
π
12
π
= – 4
π
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
;
Example A. Find cos(11π/12) without a calculator.
In summary:
Cosine Sum-Difference of Angles Formulas
34. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
All fractions with denominator 12 may be written as
sums or differences of fractions with denominators
3, 6 and 4. For examples:
12
11π = 12
3π
+ 12
8π = 4
π
+ 3
2π
3
π
12
π
= – 4
π
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
;
Example A. Find cos(11π/12) without a calculator.
C ( )
12
11π = C( ) = C( )C( )
4
π +
3
2π
4
π – S( )
4
π
3
2π
In summary:
Cosine Sum-Difference of Angles Formulas
3
2π S( )
Cosine-Sum Formulas
35. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
All fractions with denominator 12 may be written as
sums or differences of fractions with denominators
3, 6 and 4. For examples:
12
11π = 12
3π
+ 12
8π = 4
π
+ 3
2π
3
π
12
π
= – 4
π
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
;
Example A. Find cos(11π/12) without a calculator.
C ( )
12
11π = C( ) = C( )C( )
4
π +
3
2π
4
π – S( )
4
π
3
2π
Cosine-Sum Formulas
= 2
2
(–1)
2 –2
2
3
2 =
In summary:
Cosine Sum-Difference of Angles Formulas
3
2π S( )
36. cos(A – B) = cos(A)cos(B) + sin(A)sin(B)
cos(A + B) = cos(A)cos(B) – sin(A)sin(B)
All fractions with denominator 12 may be written as
sums or differences of fractions with denominators
3, 6 and 4. For examples:
12
11π = 12
3π
+ 12
8π = 4
π
+ 3
2π
3
π
12
π
= – 4
π
or that C(A B) = C(A)C(B) ± S(A)S(B)–+
;
Example A. Find cos(11π/12) without a calculator.
C ( )
12
11π = C( ) = C( )C( )
4
π +
3
2π
4
π – S( )
4
π
3
2π
Cosine-Sum Formulas
= 2
2
(–1)
2 –2
2
3
2 =–2 – 6
4
–0.966
In summary:
Cosine Sum-Difference of Angles Formulas
3
2π S( )
37. From C(π/2 – A) = S(A) and S(π/2 – A) = C(A), we’ve
sin(A + B) = cos(π/2 – (A+B))
Sine Sum-Difference of Angles Formulas
38. From C(π/2 – A) = S(A) and S(π/2 – A) = C(A), we’ve
sin(A + B) = cos(π/2 – (A+B)) = cos((π/2 – A) – B)
Sine Sum-Difference of Angles Formulas
39. From C(π/2 – A) = S(A) and S(π/2 – A) = C(A), we’ve
sin(A + B) = cos(π/2 – (A+B)) = cos((π/2 – A) – B)
= cos(π/2 – A)cos(B)) + sin(π/2 – A)sin(B)
Sine Sum-Difference of Angles Formulas
the cosine difference of angles law:
40. From C(π/2 – A) = S(A) and S(π/2 – A) = C(A), we’ve
sin(A + B) = cos(π/2 – (A+B)) = cos((π/2 – A) – B)
= cos(π/2 – A)cos(B)) + sin(π/2 – A)sin(B)
= sin(A)cos(B) – cos(A)sin(B)
Sine Sum-Difference of Angles Formulas
the cosine difference of angles law:
the co-relation:
41. From C(π/2 – A) = S(A) and S(π/2 – A) = C(A), we’ve
sin(A + B) = cos(π/2 – (A+B)) = cos((π/2 – A) – B)
= cos(π/2 – A)cos(B)) + sin(π/2 – A)sin(B)
= sin(A)cos(B) – cos(A)sin(B)
In summary:
sin(A + B) = sin(A)cos(B) + cos(A)sin(B)
Sine Sum-Difference of Angles Formulas
the cosine difference of angles law:
the co-relation:
42. From C(π/2 – A) = S(A) and S(π/2 – A) = C(A), we’ve
sin(A + B) = cos(π/2 – (A+B)) = cos((π/2 – A) – B)
= cos(π/2 – A)cos(B)) + sin(π/2 – A)sin(B)
= sin(A)cos(B) – cos(A)sin(B)
In summary:
sin(A + B) = sin(A)cos(B) + cos(A)sin(B)
By expanding sin(A + (–B)) we have that
sin(A – B) = sin(A)cos(B) – cos(A)sin(B)
Sine Sum-Difference of Angles Formulas
the cosine difference of angles law:
the co-relation:
43. S(A ± B) = S(A)C(B) ± C(A)S(B)
From C(π/2 – A) = S(A) and S(π/2 – A) = C(A), we’ve
sin(A + B) = cos(π/2 – (A+B)) = cos((π/2 – A) – B)
= cos(π/2 – A)cos(B)) + sin(π/2 – A)sin(B)
= sin(A)cos(B) – cos(A)sin(B)
In summary:
sin(A + B) = sin(A)cos(B) + cos(A)sin(B)
By expanding sin(A + (–B)) we have that
sin(A – B) = sin(A)cos(B) – cos(A)sin(B) or that
UDo. Find sin(–π/12) without a calculator.
Sine Sum-Difference of Angles Formulas
the cosine difference of angles law:
the co-relation:
44. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
45. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
cos(2A) = cos(A + A) = cos(A)cos(A) – sin(A)sin(A)
46. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
cos(2A) = cos(A + A) = cos(A)cos(A) – sin(A)sin(A)
cos(2A) = cos2(A) – sin2(A)
47. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
cos(2A) = cos(A + A) = cos(A)cos(A) – sin(A)sin(A)
cos(2A) = cos2(A) – sin2(A)
(1 – sin2(A)) – sin2(A)
so 1 – 2sin2(A) = cos(2A)
48. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
cos(2A) = cos(A + A) = cos(A)cos(A) – sin(A)sin(A)
cos(2A) = cos2(A) – sin2(A)
(1 – sin2(A)) – sin2(A) cos2(A) – (1 – cos2(A))
so 2cos2(A) – 1 = cos(2A)so 1 – 2sin2(A) = cos(2A)
49. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
cos(2A) = cos(A + A) = cos(A)cos(A) – sin(A)sin(A)
cos(2A) = cos2(A) – sin2(A)
(1 – sin2(A)) – sin2(A) cos2(A) – (1 – cos2(A))
sin(2A) = sin(A + A) = sin(A)cos(A) + cos(A)sin(A)
so 2cos2(A) – 1 = cos(2A)so 1 – 2sin2(A) = cos(2A)
50. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
cos(2A) = cos(A + A) = cos(A)cos(A) – sin(A)sin(A)
cos(2A) = cos2(A) – sin2(A)
(1 – sin2(A)) – sin2(A) cos2(A) – (1 – cos2(A))
sin(2A) = sin(A + A) = sin(A)cos(A) + cos(A)sin(A)
so sin(2A) = 2sin(A)cos(A)
so 2cos2(A) – 1 = cos(2A)so 1 – 2sin2(A) = cos(2A)
51. From the sum-of-angle formulas, we obtain the
double-angle formulas by setting A = B,
Double Angle Formulas
cos(2A) = cos(A + A) = cos(A)cos(A) – sin(A)sin(A)
cos(2A) = cos2(A) – sin2(A)
(1 – sin2(A)) – sin2(A) cos2(A) – (1 – cos2(A))
sin(2A) = sin(A + A) = sin(A)cos(A) + cos(A)sin(A)
so sin(2A) = 2sin(A)cos(A)
cos(2A) = cos2(A) – sin2(A)
= 1 – 2sin2(A)
= 2cos2(A) – 1
Cosine Double Angle Formulas:
Sine Double Angle Formulas:
sin(2A) = 2sin(A)cos(A)
so 2cos2(A) – 1 = cos(2A)so 1 – 2sin2(A) = cos(2A)
52. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Double Angle Formulas
53. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Using the formula cos(2A) = 2cos2(A) – 1, we get
3/7 = 2cos2(A) – 1
Double Angle Formulas
54. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Using the formula cos(2A) = 2cos2(A) – 1, we get
3/7 = 2cos2(A) – 1
10/7 = 2cos2(A)
5/7 = cos2(A)
±5/7 = cos(A)
Double Angle Formulas
55. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Using the formula cos(2A) = 2cos2(A) – 1, we get
3/7 = 2cos2(A) – 1
10/7 = 2cos2(A)
5/7 = cos2(A)
±5/7 = cos(A)
Since A is in the 2nd quadrant, cosine must be negative,
so cos(A) = –5/7 = (–5)/7.
Double Angle Formulas
–5
Ay 7
56. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Using the formula cos(2A) = 2cos2(A) – 1, we get
3/7 = 2cos2(A) – 1
10/7 = 2cos2(A)
5/7 = cos2(A)
±5/7 = cos(A)
Since A is in the 2nd quadrant, cosine must be negative,
so cos(A) = –5/7 = (–5)/7. We may use the right
triangle as shown to find tan(A).
Double Angle Formulas
–5
Ay 7
57. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Using the formula cos(2A) = 2cos2(A) – 1, we get
3/7 = 2cos2(A) – 1
10/7 = 2cos2(A)
5/7 = cos2(A)
±5/7 = cos(A)
Since A is in the 2nd quadrant, cosine must be negative,
so cos(A) = –5/7 = (–5)/7. We may use the right
triangle as shown to find tan(A).
y2 + (–5)2 = (7)2
Double Angle Formulas
–5
Ay 7
58. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Using the formula cos(2A) = 2cos2(A) – 1, we get
3/7 = 2cos2(A) – 1
10/7 = 2cos2(A)
5/7 = cos2(A)
±5/7 = cos(A)
Since A is in the 2nd quadrant, cosine must be negative,
so cos(A) = –5/7 = (–5)/7. We may use the right
triangle as shown to find tan(A). We have that
y2 + (–5)2 = (7)2 so y2 = 2
or that y = ±2 y = 2
Double Angle Formulas
–5
Ay 7
59. Example B. Given the angle A in the 2nd quadrant and
that cos(2A) = 3/7, find tan(A). Draw.
Using the formula cos(2A) = 2cos2(A) – 1, we get
3/7 = 2cos2(A) – 1
10/7 = 2cos2(A)
5/7 = cos2(A)
±5/7 = cos(A)
Since A is in the 2nd quadrant, cosine must be negative,
so cos(A) = –5/7 = (–5)/7. We may use the right
triangle as shown to find tan(A). We have that
y2 + (–5)2 = (7)2 so y2 = 2
or that y = ±2 y = 2
Therefore tan(A) = 2
5
– –0.632
Double Angle Formulas
–5
Ay 7
60. From cos(2A) = 2cos2(A) – 1, we get
1 + cos(2A)
2
cos2(A) =
Half-angle Formulas
61. From cos(2A) = 2cos2(A) – 1, we get
1 + cos(2A)
2
cos2(A) =
In the square root form, we get
Half-angle Formulas
1 + cos(2A)
2
cos(A) =±
62. From cos(2A) = 2cos2(A) – 1, we get
1 + cos(2A)
2
cos2(A) =
In the square root form, we get
Half-angle Formulas
1 + cos(2A)
2
cos(A) =±
If we replace A by B/2 so that 2A = B,
we have the half-angle formula of cosine:
cos( ) =B
2
63. From cos(2A) = 2cos2(A) – 1, we get
1 + cos(2A)
2
cos2(A) =
In the square root form, we get
Half-angle Formulas
1 + cos(2A)
2
cos(A) =±
If we replace A by B/2 so that 2A = B,
we have the half-angle formula of cosine:
1 + cos(B)
2
cos( ) = ±
B
2
64. From cos(2A) = 2cos2(A) – 1, we get
1 + cos(2A)
2
cos2(A) =
In the square root form, we get
Half-angle Formulas
1 + cos(2A)
2
cos(A) =±
If we replace A by B/2 so that 2A = B,
we have the half-angle formula of cosine:
Similarly, we get the half-angle formula of sine:
1 + cos(B)
2
cos( ) = ±
B
2
1 – cos(B)
2
sin( ) = ±
B
2
65. The half-angle formulas have ± choices
but the double-angle formulas do not.
Half-angle Formulas
66. The half-angle formulas have ± choices
but the double-angle formulas do not.
This is the case because given
different angles corresponding
to the same position such as
π and –π on the unit circle,
Half-angle Formulas
π
–π
67. The half-angle formulas have ± choices
but the double-angle formulas do not.
This is the case because given
different angles corresponding
to the same position such as
π and –π on the unit circle,
doubling them to 2π and –2π
would result in the same position.
Half-angle Formulas
π
–π
2π
–2π
68. The half-angle formulas have ± choices
but the double-angle formulas do not.
This is the case because given
different angles corresponding
to the same position such as
π and –π on the unit circle,
doubling them to 2π and –2π
would result in the same position.
However if we divide them by 2 as
π/2 and –π/2, the new angles would result in different
positions.
Half-angle Formulas
π
–π
2π
–2π
π/2
–π/2
69. The half-angle formulas have ± choices
but the double-angle formulas do not.
This is the case because given
different angles corresponding
to the same position such as
π and –π on the unit circle,
doubling them to 2π and –2π
would result in the same position.
However if we divide them by 2 as
π/2 and –π/2, the new angles would result in different
positions.
Hence the half-angle formulas require more
information to find the precise answer.
Half-angle Formulas
π
–π
2π
–2π
π/2
–π/2
70. Example D. Given A where –π < A < –π/2,
and tan(A) = 3/7, draw A and find cos(A/2).
Half-angle Formulas
71. Example D. Given A where –π < A < –π/2,
and tan(A) = 3/7, draw A and find cos(A/2).
– 7
Half-angle Formulas
–3
A
Given that tan(A) = 3/7 and A is in
the 3rd quadrant, let angle A be as
shown.
72. Example D. Given A where –π < A < –π/2,
and tan(A) = 3/7, draw A and find cos(A/2).
– 7
Half-angle Formulas
–3
A58
Given that tan(A) = 3/7 and A is in
the 3rd quadrant, let angle A be as
shown. Hence the hypotenuse of
the reference triangle is 58.
73. Example D. Given A where –π < A < –π/2,
and tan(A) = 3/7, draw A and find cos(A/2).
– 7
Since –π < A < –π /2, so –π/2 < A/2 < –π/4,
Half-angle Formulas
–3
A58
Given that tan(A) = 3/7 and A is in
the 3rd quadrant, let angle A be as
shown. Hence the hypotenuse of
the reference triangle is 58.
74. Example D. Given A where –π < A < –π/2,
and tan(A) = 3/7, draw A and find cos(A/2).
– 7
Since –π < A < –π /2, so –π/2 < A/2 < –π/4, so that
A/2 is in the 4th quadrant and cos(A/2) is +.
Half-angle Formulas
–3
A58
Given that tan(A) = 3/7 and A is in
the 3rd quadrant, let angle A be as
shown. Hence the hypotenuse of
the reference triangle is 58.
75. Example D. Given A where –π < A < –π/2,
and tan(A) = 3/7, draw A and find cos(A/2).
– 7
Since –π < A < –π /2, so –π/2 < A/2 < –π/4, so that
A/2 is in the 4th quadrant and cos(A/2) is +.
1 + cos(A)
2
cos( ) =A
2 = 1 – 7/58
2 0.201Hence,
Half-angle Formulas
–3
A58
Given that tan(A) = 3/7 and A is in
the 3rd quadrant, let angle A be as
shown. Hence the hypotenuse of
the reference triangle is 58.
76. Example D. Given A where –π < A < –π/2,
and tan(A) = 3/7, draw A and find cos(A/2).
– 7
Since –π < A < –π /2, so –π/2 < A/2 < –π/4, so that
A/2 is in the 4th quadrant and cos(A/2) is +.
1 + cos(A)
2
cos( ) =A
2 = 1 – 7/58
2 0.201Hence,
Half-angle Formulas
–3
A58
Given that tan(A) = 3/7 and A is in
the 3rd quadrant, let angle A be as
shown. Hence the hypotenuse of
the reference triangle is 58.
We list all these formulas and their deduction in the
following the flow chart.