This document contains the table of contents for a textbook on electromagnetism. It lists 12 chapters covering topics like vector analysis, electrostatics, magnetostatics, electromagnetic waves, and electromagnetism and relativity. The first chapter is on vector analysis and covers concepts like dot products, cross products, vector operations in curvilinear coordinates, and vector calculus operations like divergence and curl. It includes sample problems applying these vector concepts.
The document provides information about curve tracing including important definitions, the method of tracing a curve, and examples of tracing specific curves. It defines singular points, multiple points, nodes, cusps, and points of inflection. The method of tracing involves analyzing the curve for symmetry, points of intersection with the axes, regions where the curve does not exist, asymptotes, and tangents. Examples analyze the curves y=(x-a)^2, (x+y)^2=(x-a)^2, y=(2-x)^2, and y=x^2 for these properties and sketch the curves.
This document summarizes key points from a course on recovery guarantees for inverse problems regularized with low-complexity priors. It discusses how gauges can model unions of linear subspaces corresponding to priors like sparsity, block sparsity, and low-rankness. It introduces the concept of dual certificates for characterizing solutions to noiseless inverse problems and establishes conditions under which tight dual certificates exist, ensuring stable recovery. In the compressed sensing setting, it states thresholds on the number of measurements needed to guarantee the existence of tight dual certificates for sparse vectors and low-rank matrices observed with a random measurement matrix.
Model Selection with Piecewise Regular GaugesGabriel Peyré
Talk given at Sampta 2013.
The corresponding paper is :
Model Selection with Piecewise Regular Gauges (S. Vaiter, M. Golbabaee, J. Fadili, G. Peyré), Technical report, Preprint hal-00842603, 2013.
http://hal.archives-ouvertes.fr/hal-00842603/
- Semi Regular Meshes can be subdivided using regular 1:4 subdivision or represented as Spherical Geometry Images mapped to the unit sphere.
- Subdivision Surfaces are generated by applying local interpolators repeatedly to refine a coarse control mesh. Common subdivision schemes include Linear, Butterfly, and Loop which are demonstrated in examples.
- Biorthogonal Wavelets can be constructed on meshes using a Lifting Scheme to create wavelet coefficients with vanishing moments, allowing for compression of mesh signals. Invariant neighborhoods are used to analyze the refinement of meshes across scales.
Low Complexity Regularization of Inverse ProblemsGabriel Peyré
This document discusses regularization techniques for inverse problems. It begins with an overview of compressed sensing and inverse problems, as well as convex regularization using gauges. It then discusses performance guarantees for regularization methods using dual certificates and L2 stability. Specific examples of regularization gauges are given for various models including sparsity, structured sparsity, low-rank, and anti-sparsity. Conditions for exact recovery using random measurements are provided for sparse vectors and low-rank matrices. The discussion concludes with the concept of a minimal-norm certificate for the dual problem.
Signal Processing Course : Convex OptimizationGabriel Peyré
This document discusses convex optimization and proximal operators. It begins by introducing convex optimization problems with objective functions G mapping from a Hilbert space H to the real numbers. It then discusses properties of convex, lower semi-continuous, and proper functions. Examples are given of regularization problems and total variation denoising. The document covers subdifferentials, proximal operators, proximal calculus including separability and compositions, and relationships between proximal operators and subdifferentials. Gradient descent and subgradient descent algorithms are also briefly discussed.
The document discusses proximal splitting methods for solving optimization problems involving the minimization of a sum of functions. It first introduces subdifferential calculus and proximal operators. It then describes several proximal splitting algorithms, including forward-backward splitting, Douglas-Rachford splitting, primal-dual splitting, and generalized forward-backward splitting. These algorithms allow solving composite optimization problems by exploiting the separable structure and properties like smoothness or proximity of the individual terms. The document provides examples of applying such methods to inverse problems like sparse recovery.
Proximal Splitting and Optimal TransportGabriel Peyré
This document summarizes proximal splitting and optimal transport methods. It begins with an overview of topics including optimal transport and imaging, convex analysis, and various proximal splitting algorithms. It then discusses measure-preserving maps between distributions and defines the optimal transport problem. Finally, it presents formulations for optimal transport including the convex Benamou-Brenier formulation and discrete formulations on centered and staggered grids. Numerical examples of optimal transport between distributions on 2D domains are also shown.
The document provides information about curve tracing including important definitions, the method of tracing a curve, and examples of tracing specific curves. It defines singular points, multiple points, nodes, cusps, and points of inflection. The method of tracing involves analyzing the curve for symmetry, points of intersection with the axes, regions where the curve does not exist, asymptotes, and tangents. Examples analyze the curves y=(x-a)^2, (x+y)^2=(x-a)^2, y=(2-x)^2, and y=x^2 for these properties and sketch the curves.
This document summarizes key points from a course on recovery guarantees for inverse problems regularized with low-complexity priors. It discusses how gauges can model unions of linear subspaces corresponding to priors like sparsity, block sparsity, and low-rankness. It introduces the concept of dual certificates for characterizing solutions to noiseless inverse problems and establishes conditions under which tight dual certificates exist, ensuring stable recovery. In the compressed sensing setting, it states thresholds on the number of measurements needed to guarantee the existence of tight dual certificates for sparse vectors and low-rank matrices observed with a random measurement matrix.
Model Selection with Piecewise Regular GaugesGabriel Peyré
Talk given at Sampta 2013.
The corresponding paper is :
Model Selection with Piecewise Regular Gauges (S. Vaiter, M. Golbabaee, J. Fadili, G. Peyré), Technical report, Preprint hal-00842603, 2013.
http://hal.archives-ouvertes.fr/hal-00842603/
- Semi Regular Meshes can be subdivided using regular 1:4 subdivision or represented as Spherical Geometry Images mapped to the unit sphere.
- Subdivision Surfaces are generated by applying local interpolators repeatedly to refine a coarse control mesh. Common subdivision schemes include Linear, Butterfly, and Loop which are demonstrated in examples.
- Biorthogonal Wavelets can be constructed on meshes using a Lifting Scheme to create wavelet coefficients with vanishing moments, allowing for compression of mesh signals. Invariant neighborhoods are used to analyze the refinement of meshes across scales.
Low Complexity Regularization of Inverse ProblemsGabriel Peyré
This document discusses regularization techniques for inverse problems. It begins with an overview of compressed sensing and inverse problems, as well as convex regularization using gauges. It then discusses performance guarantees for regularization methods using dual certificates and L2 stability. Specific examples of regularization gauges are given for various models including sparsity, structured sparsity, low-rank, and anti-sparsity. Conditions for exact recovery using random measurements are provided for sparse vectors and low-rank matrices. The discussion concludes with the concept of a minimal-norm certificate for the dual problem.
Signal Processing Course : Convex OptimizationGabriel Peyré
This document discusses convex optimization and proximal operators. It begins by introducing convex optimization problems with objective functions G mapping from a Hilbert space H to the real numbers. It then discusses properties of convex, lower semi-continuous, and proper functions. Examples are given of regularization problems and total variation denoising. The document covers subdifferentials, proximal operators, proximal calculus including separability and compositions, and relationships between proximal operators and subdifferentials. Gradient descent and subgradient descent algorithms are also briefly discussed.
The document discusses proximal splitting methods for solving optimization problems involving the minimization of a sum of functions. It first introduces subdifferential calculus and proximal operators. It then describes several proximal splitting algorithms, including forward-backward splitting, Douglas-Rachford splitting, primal-dual splitting, and generalized forward-backward splitting. These algorithms allow solving composite optimization problems by exploiting the separable structure and properties like smoothness or proximity of the individual terms. The document provides examples of applying such methods to inverse problems like sparse recovery.
Proximal Splitting and Optimal TransportGabriel Peyré
This document summarizes proximal splitting and optimal transport methods. It begins with an overview of topics including optimal transport and imaging, convex analysis, and various proximal splitting algorithms. It then discusses measure-preserving maps between distributions and defines the optimal transport problem. Finally, it presents formulations for optimal transport including the convex Benamou-Brenier formulation and discrete formulations on centered and staggered grids. Numerical examples of optimal transport between distributions on 2D domains are also shown.
Properties of bivariate and conditional Gaussian PDFsAhmad Gomaa
Properties of bi-variate Gaussian pdf
Properties of conditional Gaussian pdf
Effect of correlation on bi-variate and conditional Gaussian pdf
Analytic expressions of bivariate and conditional Gaussian pdfs
3-D and 2-D contour plots of Gaussian pdfs
Conditional mean and variance
Matlab code of density functions plots
The document discusses various topics related to complex functions and complex analysis. It defines concepts such as distance between complex numbers, circles, circular disks, neighborhoods, annuli, open and closed sets, connected sets, domains, regions, bounded regions, single-valued and multi-valued functions, and limits and continuity of complex functions. Specific examples are provided to illustrate definitions of circles, neighborhoods, single-valued and multi-valued functions. The limit of a complex function as z approaches a point z0 is defined using the epsilon-delta definition of a limit.
This document provides an overview of an upcoming course on inverse problems and regularization. The course will cover three topics: inverse problems, compressed sensing, and sparsity and L1 regularization. Inverse problems involve recovering an unknown signal x0 from noisy observations. Regularization is used to incorporate prior information and make the problem well-posed. Compressed sensing allows signals to be sampled below the Nyquist rate if they are sparse. The L1 norm is used as a convex relaxation of the sparsity prior, allowing sparse recovery problems to be solved as convex programs.
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IRai University
1. The document discusses functions of complex variables, including analytic functions, Cauchy-Riemann equations, harmonic functions, and methods for determining an analytic function when its real or imaginary part is known.
2. Some key topics covered are the definition of an analytic function, Cauchy-Riemann equations in Cartesian and polar forms, properties of analytic functions including orthogonal systems, and determining the analytic function using methods like direct, Milne-Thomson's, and exact differential equations.
3. Examples are provided to illustrate determining the analytic function given its real or imaginary part, such as finding the function when the real part is a polynomial or the imaginary part is a trigonometric function.
The document provides examples and explanations for sketching the graphs of various types of functions, including:
1) Linear functions, which produce straight lines. The slope and y-intercept determine the graph.
2) Quadratic functions, which produce parabolas. The direction of opening and intercepts are used to sketch the graph.
3) Cubic functions, which produce S-shaped curves. The direction of turning and intercepts are considered.
4) Reciprocal functions, which produce hyperbolas. The direction and intercepts are the key factors for the graph.
Step-by-step methods are outlined for accurately sketching graphs of each function type based on their defining characteristics.
The document discusses the trace-method for visualizing quadric surfaces. A trace is the intersection of a surface with a plane. For a given surface S, traces parallel to the coordinate planes reveal the shape of S. Specifically, the intersection of S with planes where x=c, y=c, or z=c produce traces perpendicular to the respective axes. The traces of quadric surfaces are conic sections, such as ellipses or circles, which can be used to sketch the overall surface shape.
The document discusses different computer graphics display systems and algorithms for drawing lines. It describes raster scan and random scan display systems. Raster scan systems sweep an electron beam across the screen row by row to draw the image based on values stored in a frame buffer. It also covers the digital differential analyzer (DDA) and Bresenham's algorithms for drawing lines on a digital display. DDA calculates increments to move the line incrementally pixel by pixel, while Bresenham's uses a decision parameter to efficiently draw lines on a raster display. An example demonstrates applying each algorithm to draw a line between two points.
M. Dimitrijević, Noncommutative models of gauge and gravity theoriesSEENET-MTP
- The document describes a talk on noncommutative geometry and gravity theories given at a workshop in Serbia.
- Noncommutative geometry arises in string theory and could help address problems in quantum gravity and the standard model. The talk presents an approach using a star product to represent noncommutative algebras.
- Actions for noncommutative gauge theory and gravity are discussed. For gravity, a deformation of the MacDowell-Mansouri action is proposed based on the Seiberg-Witten map. This leads to modified field equations and corrections to the Einstein-Hilbert and cosmological constant terms.
The document discusses convergence of sequences and power series. It defines convergence of a sequence and states that the limit of a convergent sequence is unique. It also discusses Taylor series and Laurent series, stating that if a function f(z) is analytic inside a circle C with center z0, its Taylor series representation about z0 will converge to f(z) for all z inside C. Similarly, if f(z) is analytic in an annular region bounded by two concentric circles, its Laurent series will represent f(z) in that region.
Mesh Processing Course : Active ContoursGabriel Peyré
(1) Active contours, or snakes, are parametric or geometric active contour models used for edge detection and image segmentation. (2) Parametric active contours represent curves explicitly through parameterization, while implicit active contours represent curves as the zero level set of a higher dimensional function. (3) Active contours evolve to minimize an energy functional comprising an internal regularization term and an external image-based term, converging to object boundaries or other image features.
The document provides examples and explanations for graphing quadratic functions. It begins with an overview of how the a, b, and c values in the quadratic function y=ax2 + bx + c impact the graph. Examples are then worked through step-by-step to show how to find the axis of symmetry, vertex, y-intercept, and additional points to graph the function. An application example models the height of a basketball shot as a quadratic function to find the maximum height and time to reach it. The document concludes with a check your understanding example modeling the height of a dive.
Signal Processing Course : Inverse Problems RegularizationGabriel Peyré
This document discusses regularization techniques for inverse problems. It introduces variational priors like Sobolev and total variation to regularize inverse problems. Gradient descent and proximal gradient methods are presented to minimize regularization functionals for problems like denoising. Conjugate gradient and projected gradient descent are discussed for solving the regularized inverse problems. Total variation priors are shown to better recover edges compared to Sobolev priors. Non-smooth optimization methods may be needed to handle non-differentiable total variation functionals.
This document discusses key concepts in vector calculus including:
1) The gradient of a scalar, which is a vector representing the directional derivative/rate of change.
2) Divergence of a vector, which measures the outward flux density at a point.
3) Divergence theorem, relating the outward flux through a closed surface to the volume integral of the divergence.
4) Curl of a vector, which measures the maximum circulation and tendency for rotation.
Formulas are provided for calculating these quantities in Cartesian, cylindrical, and spherical coordinate systems. Examples are worked through applying the concepts and formulas.
This document contains exercises and solutions for line integrals from a chapter on the topic. It includes 6 exercises evaluating line integrals over various curves defined parametrically or through equations. It also contains exercises using Green's Theorem and evaluating line integrals for conservative vector fields. The solutions provide the parametrizations needed to set up and evaluate the line integrals.
This document discusses algorithms for rendering lines in raster graphics. It begins by introducing common line primitives in OpenGL and reviewing basic line drawing math. It then describes the Digital Differential Analyzer (DDA) line algorithm and its limitations. The document introduces Bresenham's midpoint line algorithm as a faster alternative that uses integer arithmetic. It explains how Bresenham's algorithm works by tracking the sign of a decision variable to select the next pixel along the line. The document concludes by generalizing Bresenham's algorithm and discussing optimizations.
The document appears to be a blueprint for a mathematics exam for class 12. It lists various topics that could be covered in the exam such as functions, derivatives, integrals, differential equations, 3-dimensional geometry, and matrices. For each topic it indicates the number and type of questions that may be asked, such as very short answer (1 mark), short answer (4 marks), and long answer (6 marks). The total number of questions is 29 with 10 short answer questions worth 1 mark each, 12 questions worth 4 marks each, and 7 questions worth 6 marks each. The document also includes sample questions that cover the listed topics as examples of what may be asked on the exam.
The document discusses graphing quadratic functions. It begins with reviewing key concepts like the vertex and axis of symmetry and how the a, b, and c coefficients affect the graph. Examples are provided for determining the width, direction opened, and vertical shift based on these coefficients. The remainder of the document provides step-by-step examples of graphing quadratic functions by finding the axis of symmetry, vertex, y-intercept, and other points to plot the parabolic curve.
Optimal Finite-Difference Grids for Elliptic Problem
In many applications one observes rapid change of the solution in the boundary region. Accurate and numerically efficient resolution of the solution close to the moving boundaries is considered to be and important problem. We develop an approach to grid optimization for finite-difference scheme for elliptic problem. Using this approach we are able to achieve exponential convergence of the boundary Neumann-to-Dirichlet map when applied to the bounded domains. It increases the convergence order without increasing the stencil size of the finite-difference scheme and without losing stability.
This document contains sample questions from a mathematics exam blueprint and marking scheme for Class 12. It includes:
- A blueprint showing the distribution of questions across different units of the syllabus for very short answer (1 mark), short answer (4 marks) and long answer (6 marks) questions.
- Sample questions from sections A to D with varying marks. The questions cover topics like relations and functions, matrices, calculus, vectors, probability and linear programming.
- A marking scheme providing solutions to the sample questions with marks allocated for each step.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
1. The document discusses various vector algebra concepts including vector projection, work done by a force, compound angle formulas, and vector cross and dot products.
2. Vector projection and work done formulas are derived. The compound angle formulas for cosine and sine are proved using vector diagrams.
3. Cross and dot products are explained. Various applications are covered including proving trigonometric identities like the sine rule and finding areas and volumes.
The document defines matrices and their properties, including symmetric, skew-symmetric, and determinant. It provides examples of solving systems of equations using matrices and their inverses. It also discusses properties of determinants, including properties related to symmetric and skew-symmetric matrices. Inverse trigonometric functions are defined, including their domains, ranges, and relationships between inverse functions using addition and subtraction formulas. Sample problems are provided to solve systems of equations and evaluate determinants.
Properties of bivariate and conditional Gaussian PDFsAhmad Gomaa
Properties of bi-variate Gaussian pdf
Properties of conditional Gaussian pdf
Effect of correlation on bi-variate and conditional Gaussian pdf
Analytic expressions of bivariate and conditional Gaussian pdfs
3-D and 2-D contour plots of Gaussian pdfs
Conditional mean and variance
Matlab code of density functions plots
The document discusses various topics related to complex functions and complex analysis. It defines concepts such as distance between complex numbers, circles, circular disks, neighborhoods, annuli, open and closed sets, connected sets, domains, regions, bounded regions, single-valued and multi-valued functions, and limits and continuity of complex functions. Specific examples are provided to illustrate definitions of circles, neighborhoods, single-valued and multi-valued functions. The limit of a complex function as z approaches a point z0 is defined using the epsilon-delta definition of a limit.
This document provides an overview of an upcoming course on inverse problems and regularization. The course will cover three topics: inverse problems, compressed sensing, and sparsity and L1 regularization. Inverse problems involve recovering an unknown signal x0 from noisy observations. Regularization is used to incorporate prior information and make the problem well-posed. Compressed sensing allows signals to be sampled below the Nyquist rate if they are sparse. The L1 norm is used as a convex relaxation of the sparsity prior, allowing sparse recovery problems to be solved as convex programs.
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IRai University
1. The document discusses functions of complex variables, including analytic functions, Cauchy-Riemann equations, harmonic functions, and methods for determining an analytic function when its real or imaginary part is known.
2. Some key topics covered are the definition of an analytic function, Cauchy-Riemann equations in Cartesian and polar forms, properties of analytic functions including orthogonal systems, and determining the analytic function using methods like direct, Milne-Thomson's, and exact differential equations.
3. Examples are provided to illustrate determining the analytic function given its real or imaginary part, such as finding the function when the real part is a polynomial or the imaginary part is a trigonometric function.
The document provides examples and explanations for sketching the graphs of various types of functions, including:
1) Linear functions, which produce straight lines. The slope and y-intercept determine the graph.
2) Quadratic functions, which produce parabolas. The direction of opening and intercepts are used to sketch the graph.
3) Cubic functions, which produce S-shaped curves. The direction of turning and intercepts are considered.
4) Reciprocal functions, which produce hyperbolas. The direction and intercepts are the key factors for the graph.
Step-by-step methods are outlined for accurately sketching graphs of each function type based on their defining characteristics.
The document discusses the trace-method for visualizing quadric surfaces. A trace is the intersection of a surface with a plane. For a given surface S, traces parallel to the coordinate planes reveal the shape of S. Specifically, the intersection of S with planes where x=c, y=c, or z=c produce traces perpendicular to the respective axes. The traces of quadric surfaces are conic sections, such as ellipses or circles, which can be used to sketch the overall surface shape.
The document discusses different computer graphics display systems and algorithms for drawing lines. It describes raster scan and random scan display systems. Raster scan systems sweep an electron beam across the screen row by row to draw the image based on values stored in a frame buffer. It also covers the digital differential analyzer (DDA) and Bresenham's algorithms for drawing lines on a digital display. DDA calculates increments to move the line incrementally pixel by pixel, while Bresenham's uses a decision parameter to efficiently draw lines on a raster display. An example demonstrates applying each algorithm to draw a line between two points.
M. Dimitrijević, Noncommutative models of gauge and gravity theoriesSEENET-MTP
- The document describes a talk on noncommutative geometry and gravity theories given at a workshop in Serbia.
- Noncommutative geometry arises in string theory and could help address problems in quantum gravity and the standard model. The talk presents an approach using a star product to represent noncommutative algebras.
- Actions for noncommutative gauge theory and gravity are discussed. For gravity, a deformation of the MacDowell-Mansouri action is proposed based on the Seiberg-Witten map. This leads to modified field equations and corrections to the Einstein-Hilbert and cosmological constant terms.
The document discusses convergence of sequences and power series. It defines convergence of a sequence and states that the limit of a convergent sequence is unique. It also discusses Taylor series and Laurent series, stating that if a function f(z) is analytic inside a circle C with center z0, its Taylor series representation about z0 will converge to f(z) for all z inside C. Similarly, if f(z) is analytic in an annular region bounded by two concentric circles, its Laurent series will represent f(z) in that region.
Mesh Processing Course : Active ContoursGabriel Peyré
(1) Active contours, or snakes, are parametric or geometric active contour models used for edge detection and image segmentation. (2) Parametric active contours represent curves explicitly through parameterization, while implicit active contours represent curves as the zero level set of a higher dimensional function. (3) Active contours evolve to minimize an energy functional comprising an internal regularization term and an external image-based term, converging to object boundaries or other image features.
The document provides examples and explanations for graphing quadratic functions. It begins with an overview of how the a, b, and c values in the quadratic function y=ax2 + bx + c impact the graph. Examples are then worked through step-by-step to show how to find the axis of symmetry, vertex, y-intercept, and additional points to graph the function. An application example models the height of a basketball shot as a quadratic function to find the maximum height and time to reach it. The document concludes with a check your understanding example modeling the height of a dive.
Signal Processing Course : Inverse Problems RegularizationGabriel Peyré
This document discusses regularization techniques for inverse problems. It introduces variational priors like Sobolev and total variation to regularize inverse problems. Gradient descent and proximal gradient methods are presented to minimize regularization functionals for problems like denoising. Conjugate gradient and projected gradient descent are discussed for solving the regularized inverse problems. Total variation priors are shown to better recover edges compared to Sobolev priors. Non-smooth optimization methods may be needed to handle non-differentiable total variation functionals.
This document discusses key concepts in vector calculus including:
1) The gradient of a scalar, which is a vector representing the directional derivative/rate of change.
2) Divergence of a vector, which measures the outward flux density at a point.
3) Divergence theorem, relating the outward flux through a closed surface to the volume integral of the divergence.
4) Curl of a vector, which measures the maximum circulation and tendency for rotation.
Formulas are provided for calculating these quantities in Cartesian, cylindrical, and spherical coordinate systems. Examples are worked through applying the concepts and formulas.
This document contains exercises and solutions for line integrals from a chapter on the topic. It includes 6 exercises evaluating line integrals over various curves defined parametrically or through equations. It also contains exercises using Green's Theorem and evaluating line integrals for conservative vector fields. The solutions provide the parametrizations needed to set up and evaluate the line integrals.
This document discusses algorithms for rendering lines in raster graphics. It begins by introducing common line primitives in OpenGL and reviewing basic line drawing math. It then describes the Digital Differential Analyzer (DDA) line algorithm and its limitations. The document introduces Bresenham's midpoint line algorithm as a faster alternative that uses integer arithmetic. It explains how Bresenham's algorithm works by tracking the sign of a decision variable to select the next pixel along the line. The document concludes by generalizing Bresenham's algorithm and discussing optimizations.
The document appears to be a blueprint for a mathematics exam for class 12. It lists various topics that could be covered in the exam such as functions, derivatives, integrals, differential equations, 3-dimensional geometry, and matrices. For each topic it indicates the number and type of questions that may be asked, such as very short answer (1 mark), short answer (4 marks), and long answer (6 marks). The total number of questions is 29 with 10 short answer questions worth 1 mark each, 12 questions worth 4 marks each, and 7 questions worth 6 marks each. The document also includes sample questions that cover the listed topics as examples of what may be asked on the exam.
The document discusses graphing quadratic functions. It begins with reviewing key concepts like the vertex and axis of symmetry and how the a, b, and c coefficients affect the graph. Examples are provided for determining the width, direction opened, and vertical shift based on these coefficients. The remainder of the document provides step-by-step examples of graphing quadratic functions by finding the axis of symmetry, vertex, y-intercept, and other points to plot the parabolic curve.
Optimal Finite-Difference Grids for Elliptic Problem
In many applications one observes rapid change of the solution in the boundary region. Accurate and numerically efficient resolution of the solution close to the moving boundaries is considered to be and important problem. We develop an approach to grid optimization for finite-difference scheme for elliptic problem. Using this approach we are able to achieve exponential convergence of the boundary Neumann-to-Dirichlet map when applied to the bounded domains. It increases the convergence order without increasing the stencil size of the finite-difference scheme and without losing stability.
This document contains sample questions from a mathematics exam blueprint and marking scheme for Class 12. It includes:
- A blueprint showing the distribution of questions across different units of the syllabus for very short answer (1 mark), short answer (4 marks) and long answer (6 marks) questions.
- Sample questions from sections A to D with varying marks. The questions cover topics like relations and functions, matrices, calculus, vectors, probability and linear programming.
- A marking scheme providing solutions to the sample questions with marks allocated for each step.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
1. The document discusses various vector algebra concepts including vector projection, work done by a force, compound angle formulas, and vector cross and dot products.
2. Vector projection and work done formulas are derived. The compound angle formulas for cosine and sine are proved using vector diagrams.
3. Cross and dot products are explained. Various applications are covered including proving trigonometric identities like the sine rule and finding areas and volumes.
The document defines matrices and their properties, including symmetric, skew-symmetric, and determinant. It provides examples of solving systems of equations using matrices and their inverses. It also discusses properties of determinants, including properties related to symmetric and skew-symmetric matrices. Inverse trigonometric functions are defined, including their domains, ranges, and relationships between inverse functions using addition and subtraction formulas. Sample problems are provided to solve systems of equations and evaluate determinants.
This document discusses linear equations and curve fitting. It provides 18 examples of using a linear system to solve for the coefficients of linear, quadratic, and cubic polynomials that fit given data points. It also provides examples of using a linear system to solve for the coefficients of circle and central conic equations that fit given points. The linear systems are set up and solved, providing the resulting equations that fit the data in each example.
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.
The document provides information about sets and operations on sets such as union, intersection, complement, difference, properties of these operations, counting theorems for finite sets, and the number of elements in power sets. It defines key terms like union, intersection, complement, difference of sets. It lists properties of union, intersection, and complement. It presents counting theorems for finite sets involving union, intersection. It states that the number of elements in the power set of a set with n elements is 2n and the number of proper subsets is 2n-2.
The document is a sample question paper for Class XII Mathematics. It consists of 3 sections - Section A has 10 one-mark questions, Section B has 12 four-mark questions, and Section C has 7 six-mark questions. All questions are compulsory. The paper tests concepts related to matrices, trigonometry, calculus, differential equations, and vectors. Internal choices are provided in some questions. Calculators are not permitted.
The document discusses solving quadratic equations by factorizing. It provides examples of factorizing quadratic expressions and equations to find their roots. In one example, the quadratic equation x^2 - 2x + 2 = 4 is factored into (x - 2)(x + 2) = 0, showing it has only one real root of x = 2. Another example factors a quadratic expression f(x) = x^2 - x - 1 to find its two roots of 1 and -1. The document demonstrates how to factorize quadratic expressions and equations in order to solve for their real roots.
1. The set of all functions f: R → R with f(0) = 0 is a vector space, as the linear combination of such functions will also satisfy f(0) = 0.
2. The set of all odd functions is a vector space, as any linear combination of odd functions will also be odd.
3. The solution space to the differential equation y''(x) - 5y'(x) = 0 is 2-dimensional with basis {1, e^5x}, as the general solution is Ce^5x + D.
x
y
2.5 3.0 3.5
-1.0 6 7 8
1.0 0 1 2
3.0 -6 -5 -4
MATH 223
FINAL EXAM REVIEW PACKET ANSWERS
(Fall 2012)
1. (a) increasing (b) decreasing
2. (a) 2 2( 3) 25y z− + = This is a cylinder parallel to the x-axis with radius 5.
(b) 3x = , 3x = − . These are vertical planes parallel to the yz-plane.
(c) 2 2 2z x y= + . This is a cone (one opening up and one opening down) centered on the z-axis.
3. There are many possible answers.
(a) 0x = produces the curve 23y z= − .
(b) 1y = produces the curves 23 cosz x= − and 23 cosz x= − − .
(c)
2
x
π
= produces the curves 3z = and 3z = − .
4. (a) (b) (i) 1 (ii) Increase (iii) Decrease
5. (a) Paraboloids centered on the x-axis, opening up in the positive x direction. 2 2x y z c= + +
(b) Spheres centered at the origin with radius 1 ln c− for 0 c e< ≤ . 2 2 2 1 lnx y z c+ + = −
6. (a) 6 am 11:30 am
(b) Temperature as a function of time at a depth of 20 cm.
(c) Temperature as a function of depth at noon.
7. ( , ) 2 3 2z f x y x y= = − −
8. (a) II, III, IV, VI (b) I (c) I, III, VI (d) VI (e) I, V
9. (a)
12
4 12
5
z x y= − + (b) There are many possible answers.
12
4
5
i j k+ −
(c)
3 569
2
10. (a) iii, vii (b) iv (c) viii (d) ii (e) v, vi (f) i, ix
11. There are many possible answers.
(a) ( )5 4 3
26
i j k− +
or ( )5 4 3
26
i j k− − +
(b) 2 3i j− +
(c)
4
cos
442
θ = , 1.38θ ≈ radians (d) ( )4 4 3
26
i j k− +
(e) 4 11 17i j k− − −
12. (a)
3
5
a = − (b)
1
3
a = (c) 2( 1) ( 2) 3( 3) 0x y z− − + + − = (d)
1 2 , 2 , 3 3x t y t z t= + = − − = +
13. 6 39i
or 6 39i−
14. (a)
( )
2
23 2 2
3 2
3 1
z x y x
x x y x y
∂
= −
∂ + + +
(b)
( )4
10 4 3
5
H
H T
f
H
+ +
=
−
(c)
2
2 2
1 1z
x y y x
∂
= − −
∂ ∂
15. (a) 2 2 24 ( 1) 3 ( 2) 2z e x e y e= − + − + (b) 4( 3) 8( 3) 6( 6) 0x y z− + − + − =
16. (a)
2sin(2 ) cos(2 )
5 5
v v
ds dv d
α α
α= +
(b) The distance s decreases if the angle α increases and the initial speed v remains constant.
(c) 0.0886α∆ ≈ − . The angle decreases by about 0.089 radians.
17. (a) The water is getting shallower.
4
( 1, 2)
17
uh − = −
(b) There are many possible answers. 3i j+
(c) 72 ft/min
18. (a)
( )
2 2 2
22 2 22
2 2
1 1 11
yz xyz z yz
grad i j k
x x xx
= − + + + + + +
(b) ( ) ( ) ( )( )2 2 2 2curl x y z i y z j xz k i zj yk+ + − + + = + −
(c) ( ) ( ) ( )( )2 3 3cos sec 2 cos sin sec tan 3z zdiv x i x y j e k x x x y y e+ + = − + +
(d)
37
3
(e) ( , , ) sin zg x y z xy e c= + +
19. ( , ) 4 3vG a b = −
20. (a) positive (b) negative (c) negative (d) negative (e) positive (f) zero
21. (a)
(.
Howard, anton calculo i- um novo horizonte - exercicio resolvidos v1cideni
This document contains exercises related to functions and graphs. Exercise set 1.1 contains word problems involving various functional relationships and graphs. Exercise set 1.2 involves evaluating and sketching functions, determining domains and ranges, and identifying piecewise functions. Exercise set 1.3 involves selecting appropriate axis ranges and scales to graph functions over specified domains.
Triangle ABC is given, with altitudes CD and BE from vertices C and B to opposite sides AB and AC respectively being equal. It is proved that triangle ABC must be isosceles by showing that triangles CBD and BCE are congruent by the right angle-hypotenuse (RHS) criterion, implying corresponding angles are equal, and then using corresponding parts of congruent triangles to show sides AB and AC are equal, making triangle ABC isosceles.
Vectors have both magnitude and direction and are represented by arrows. Scalars have only magnitude. There are two main types of operations on vectors: addition and multiplication. Vector addition uses the parallelogram or triangle rule to find the resultant vector. Multiplication of a vector by a scalar changes its magnitude but not direction. The dot product of vectors is a scalar that depends on their relative orientation. The cross product of vectors is another vector perpendicular to both original vectors. Examples demonstrate calculating vector components, additions, subtractions and products.
Vectors have both magnitude and direction, represented by arrows. The sum of two vectors is obtained by placing the tail of one vector at the head of the other. If the vectors are at right angles, their dot product is zero, while their cross product is maximum. Scalar multiplication scales the magnitude but not the direction of a vector.
The document discusses several mathematical concepts including:
1) Solving linear equations in two variables using substitution and elimination methods.
2) Identifying the slope and y-intercept of linear equations in standard and non-standard form.
3) Applying properties of equality, such as reflexive, symmetric, transitive, additive, multiplicative and distributive properties to solve equations.
1. Vectors are physical quantities that require both magnitude and direction for their complete description. Vector addition and subtraction follow the triangle law and parallelogram law.
2. The scalar product of two vectors is equal to their magnitudes multiplied by the cosine of the angle between them. The cross product of two vectors produces a vector perpendicular to both and its magnitude is equal to the product of the magnitudes of both vectors times the sine of the angle between them.
3. Displacement is a vector quantity that represents the distance and direction between two points in space. It is calculated by subtracting the initial position vector from the final position vector.
The document provides an overview of linear algebra and matrix theory. It discusses the history and development of matrices, defines key matrix concepts like dimensions and operations, and covers foundational topics like matrix addition, multiplication, inverses, and solving systems of linear equations. The document is intended as an introduction to linear algebra and matrices for students.
The document provides solutions to problems from an IIT-JEE 2004 mathematics exam. Problem 1 asks the student to find the center and radius of a circle defined by a complex number relation. The solution shows that the center is the midpoint of points dividing the join of the constants in the ratio k:1, and gives the radius. Problem 2 asks the student to prove an inequality relating dot products of four vectors satisfying certain conditions. The solution shows that the vectors must be parallel or antiparallel.
This document discusses quadratic equations and functions. It explains how to solve quadratic equations by factoring, completing the square, and using the quadratic formula. It also discusses using the discriminant to determine the number and type of roots. Properties of quadratic functions such as the sum and product of roots are covered. Methods for constructing quadratic equations and functions given certain properties are provided. Finally, it briefly discusses sketching the graph of a quadratic function.
This document provides an algebra cheat sheet that summarizes many common algebraic properties, formulas, and concepts. It covers topics such as arithmetic operations, properties of inequalities and absolute value, exponent properties, factoring formulas, solving equations, graphing functions, and common algebraic errors. The cheat sheet is a concise 3-page reference for the basics of algebra.
"IOS 18 CONTROL CENTRE REVAMP STREAMLINED IPHONE SHUTDOWN MADE EASIER"Emmanuel Onwumere
In iOS 18, Apple has introduced a significant revamp to the Control Centre, making it more intuitive and user-friendly. One of the standout features is a quicker and more accessible way to shut down your iPhone. This enhancement aims to streamline the user experience, allowing for faster access to essential functions. Discover how iOS 18's redesigned Control Centre can simplify your daily interactions with your iPhone, bringing convenience right at your fingertips.
Building a Raspberry Pi Robot with Dot NET 8, Blazor and SignalRPeter Gallagher
In this session delivered at NDC Oslo 2024, I talk about how you can control a 3D printed Robot Arm with a Raspberry Pi, .NET 8, Blazor and SignalR.
I also show how you can use a Unity app on an Meta Quest 3 to control the arm VR too.
You can find the GitHub repo and workshop instructions here;
https://bit.ly/dotnetrobotgithub
3. Chapter 1
Vector Analysis
(a) Prom the diagram, |B + C| cos^s = |B| cos^i + |C| cos02. Multiply by |A|,
|A||B + C| cos 03 = |A||B| cos 01 + |A||C| cos 02-
So: A-(B + C) = A-B + A-C. (Dot product is distributive.)
Similarly: |B + C| sin 63 = |B| sin 61 + |C| sin62. Muhtply by |A| n.
|A||B + C| sin03 n = |A||B| sin0i n + |A||C| sin02 n.
If n is the unit vector pointing out of the page, it follows that
Ax(B + C) = (AxB) + (AxC). (Cross product is distributive.)
(b) For the general case, see G. E. Hay's Vector and Tensor Analysis, Chapter 1, Section 7 (dot product) and
Section 8 (cross product).
The triple cross-product is not in general associative. For example,
suppose A = B and C is perpendicular to A, as in the diagram.
Then (BxC) points out-of-the-page, and Ax(BxC) points down,
and has magnitude ABC. But (AxB) = 0, so (AxB)xC = 0 ,1^
Ax(BxC).
Problem 1.3
A = +lx+ly-lz;A = /3;B = lx+ly + lz;5 = x/3. / , B
A-B = +1 + 1-1 = l = .45cos0 = /3/3cos0 ^cos0 = i.
|0 = cos-i(|) (w 70.5288"! Li X _J 1/
Problem 1.4
The cross-product of any two vectors in the plane will give a vector perpendicular to the plane. For example,
we might pick the base (A) and the left side (B):
A = -lx + 2y + 0z;B = -lx + 0y + 3z.
4. CHAPTER 1. VECTOR ANALYSIS
X y z
AxB= -1 2 0 =6x + 3y + 2z.
I -1 0 3 I
This has the right direction, but the wrong magnitude. To make a unit vector out of it, simply divide by its
^ - AXB
|AxBi = VSe + 9 + 4 = 7. |x+|y+|z
Problem 1.5
I X y z I
Ax(BxC)= Ao; Ay ^
I iByC,-B,Cy) (B.C^-B^C,) (B^Cy-ByC^) I
= x[Ay{B.Cy - ByC.) " A,{B,C^ - B^C,)] + y() + z()
(I'll just check the x-component; the others go the same way.)
= ±{AyB^Cy - AyByC^ " A.B^C^ + A.B^C,) + y() + z().
B(A-C) - C(A-B) = [BMxC^ + AyCy + yl^C^) - C^{Aa,B^ + A3,5j, + A,B,)] x + () y + () z
= x(AygxCy + A.B^C, - AyByC^ - A.B^C^) + y() + z(). They agree.
Problem 1.6
Ax(BxC)+Bx(CxA)+Cx(AxB)=B(A.C)-C(A-B) + C(A-B)-A(C.B)+A(B-C)-B(C.A)=0.
So: Ax(BxC) - (AxB)xC = -Bx(CxA) = A(B.C) - C(A.B).
If this is zero, then either A is parallel to C (including the case in which they point in opposite directions, or
one is zero), or else B-C = B-A — 0, in which case B is perpendicular to A and C (including the case B = 0).
Conclusion: Ax(BxC) = (AxB)xC <=4' either A is parallel to C, or B is perpendicular to A and C. I
Problem 1.7
>t=Dx + 6y + 8z)-Bx + 8y + 7z) = [2x-2y+ z|
-i = V4 + 4+l = [3]
Problem 1.8
(a) AyBy + AzBz = {cos(f>Ay +sm(j)Az){cos(f>By + sm(j)Bz) + {-smcpAy + cos(f>Ai){-sin(f>By +cos05j)
= cos^ (pAyBy + sin (f> cos (f>{AyBz + A^By) + sin^ (pA^B^ + sin^ 4>'^yBy - sin (f>cos (f>{AyB^ + A^By) +
cos^ (f)AzBz
= (cos^ (f) + sin^ (f>)AyBy + (sin^ (j) + cos^ (j))AzBz = AyBy + AzBz- /
(b) (Z.J + (Ay)^ + (Az)^ - ^UAA = ^U {T.]^iRijA,) (SLii?,fcAfc) = S,,A (S,iJ,,iJ,,) A,Ak.
This equals Al + AI + A provided '. T.UKR^'c-^ 0 •/ ]^k]
Moreover, if R is to preserve lengths for all vectors A) then this condition is not only sufficient but also
necessary. For suppose A = A,0,0). Then S^,*; (Sj RijRrk) AjAk — Sj RiiRii, and this must equal 1 (since we
wantZj,+Zj,+34j = 1). Likewise, Sf^iiZt2-Ri2 = S^=i-Rj3-Rt3 = 1- To check the case j 7^ k, choose A = A,1,0).
Then we want 2 = Sj,^ (Ej RtjRik) AjAk = Sj R,iRii + Sj Rz2Ri2 + S, RtiRt2 + Sj RtzRii- But we already
know that the first two sums are both 1; the third and fourth are equal, so Sj RtiRi2 = Sj R12R11 = 0, and so
on for other unequal combinations of j", k. / In matrix notation: RR = 1, where R is the transpose of R.
5. Looking down the axis: dk
A 120° rotation carries the z axis into the y (= z) axis, y into x (= y), and x into z (= x). So Ax — Az,
0 0 1
i?= ( 1 0 0
0 1 0
Problem 1.10
(a) I No changeTj (A^ = Ax,^y — Ay, A^ = A^)
(b) IA —>■ -A7^ in the sense {Ax = —A^, Ay = -Aj,, ^^ : -A.)
(c) (AxB) —> (-A)x(-B) = (AxB). That is, if C = AxB, | C —^ C |. No minus sign, in contrast to
behavior of an "ordinary" vector, as given by (b). If A and B are pseudovectors, then (AxB) —> (A) x (B) =
(AxB). So the cross-product of two pseudovectors is again a pseudovector. In the cross-product of a vector
and a pseudovector, one changes sign, the other doesn't, and therefore the cross-product is itself a vector.
Angular momentum (L = rxp) and torque (N = rxF) are pseudovectors.
(d) A-(BxC) —> (-A)-((-B)x(-C)) = -A.(BxC). So, if o = A.(BxC), then | o —? -^ a
changes sign under inversion of coordinates.
Problem 1.11
(a)V/ = = 2xx + 3y^y + 4z^ z
F)V/ = = 2a;y= z'^x + Sx^y'^z'^y-i Ax'^y^z^ z
(c)V/ = = e*si n 2/ In z X -f- e^ cos y Inzy-l-e^ smy{l/z)z
Problem 1.12
(a) V/i = W[{2y - 6x - 18) x + Ba; - 8y + 28) y]. V/i = 0 at summit, so
22y = 66=^y^3=^2x-2A + 2& = 0^^^x = ~2.
Top is 13 miles north, 2 miles west, of SouthHadleyJ
(b) Putting in a; = -2, y = 3:
h = 10(-12 - 12 - 36 -I- 36 -t- 84 -t-12) = | 720 ft. |
(c) Putting in a; = 1, y = 1: Vfe = 10[B - 6 - 18) x + B - 8 -f- 28) y] = 10(-22x 4- 22y) =: 220(- x -f- y).
|V/i| = 220v^ Pb 1311 ft/mile]; direction: | northwest. |
6. 4 CHAPTER 1. VECTOR ANALYSIS
Problem 1.13
* - (a; - x') X + B/ - 2/') y + B - z') z; -> = y/{x - x')^ + {y - y'f + {z - z'f.
(a)V@-^[(a;-a:r + (y-yr + (-^-^')']x+|^()y + ^()i = 2(x-x')x + 2(y-2/')y + 2(z-z'U = 2*.
(b) V(i) = U{x- x'f + {y- y'? + {z - z'?]-h x + f^{)-h y + ^()-^ g
= _i()-|2(x-x')x-|()-i2(y-y')y-|()-^2(z-z'J
- -()-i[(x - x')i + B/ - y')y + (^ - ^')z] = -dA^)* = -(lA^)^
(c) ^(*") -n^"->f =n^"-nH2*.) =^^"-''i., so|v(^")^n^"^
Problem 1.14
y = +2/ cos 0 + z sin </>; multiply by sin </>: j/sin 0 = +j/ sin </> cos </> + z sin^ 0.
z — —y sin 0 + z cos 0; multiply by cos 0: ?cos 0 = — y sin 0 cos (f)-- z cos^ 0.
Add: 27sin0 + 2COS0 = z(sin^ 0 + cos^ 0) = z. Likewise, 27cos0 - ?sin0 = y.
So || = cos 0; ll = - sin 0; |= = sin 0; |= = cos 0. Therefore
M^ = i^ii"'ii^"'"^'^f^"'^'"t^^{^^oV/transformsa.avector. qed
Problem 1.15
(o)V-v? = ^(a^') + |?Ca;^') + ^(-2a:2) - 2a; + 0 - 2a; -0.
F)V.V6 = ^(^^2/) + iBy^) + l -Cxz)=y + 2a; + 3a;.
(c)V-Vc = £B/') + li-^^y + z' + U^yz) = 0 + Ba;) + By) -2(x + y)-
Problem 1.16
V-V = f^{^) + l{^) + l,{^) = A [3:(a;2 + y2 + ^2)-|] +|. [j,(^2 + ^2 + ^2)-|] +^ [^(^2 + ^2 + ^2)-|J
= ()-§ + x(-3/2)()-t2x + ()-§ + y(-3/2)()-i22/ + ()-§ + z(-3/2)()-l22
- 3r-3 - 3r-5(x2 + y^ + ^2) ^ 3^-3 _ 3^-3 ^ q.
This conclusion is surprising, because, from the diagram, this vector field is obviously diverging away from the
origin. How, then, can V-v = 0? The answer is that V'V = 0 everywhere except at the origin, but at the
origin our calculation is no good, since r = 0, and the expression for v blows up. In fact, V-v is infinite at
that one point, and zero elsewhere, as we shall see in Sect. 1.5.
Problem 1.17
Vy — COS (j)Vy + sm.(j)Vz;vz = — sin (f>Vy + cos 0 v^.
^ - ^ COS0 + % sin0 = (^f| + I^H) COS0+ (^1 + ^H) sin0. Use result in Prob. 1.14:
= (^ COS0+ ^ sin0) COS0+ (^ COS0+ ^ sin0) sin0.
^ = -^ sin0+ %- COS0 = - (^i + ^i) sin0+ (^i| + ^i) cos0
- - (-^ sin0+ ^ COS0) sin0+ (-^ sin0+ ^ cos0) cos0. So
^ + ^ ^ 1^ cos2 0 + ^ sin0cos0 + ^ sin0cos0 + %■ sin^ 0 + ^ sin^ 0 - |^ sin0cos0
7. -^ sm0cos0 + ^
^ (cos^0 + sin^0) + ^ (sm^0 + cos^0) = ^ + ^. /
X y z
0 a
(a) Vxv? = i
a? = x@ - 6x2) + y@ + 2z) + z{3z^ - 0) = -6xzyi + 2zy+ 32"^ z.
X^ 3xz' -2a;z
X z
y
0 a
1? 51
=
x@ - 2y) + y@ - 82) + z@ - a;) = |-2yx-3zy - a:z. |
a;2/ 2yz 3a;z
(c) Vxv, = = xB2 - 22) + y@ - 0) + zBy - 2y) = [o7]
{2xy + ^2) 2yz
Problem 1.19
V = y X + X y; on V = yz X + xz y + xy z; or V = {3x^z - 2^) x + 3 y + (a;^ - Zxz^) z;
or V = (sin a;) (cosh J/) x - (cosa;)(sinhj/) y; etc.
Problem 1.20
(i)V(/,) = Mx+M5. + M2=(/|.+,|£Mc+(/|| + ,g)y+(/if+,il)z
= f{^^+lly+^^)+9{U^+%y+U^)=fi'^9) + 9{'^f). qed
(iv) V.(AxB) = £ [AyB, - A,By) + §-^ {A,B, - A,B,) + ^ {A.By - AyB.)
=^Ay'-t + B.'-t-A.'-t-By'-t + A.^ + Bj-^~A.'-t-B.'-^
^A^'-t + By'-t-^y'-t-B.'-t
-B.[^-'-t)-^By{^-^-t)^B.[^-^-^)-A.[^-^-§f)
-^.(l^-l^)-^^(^-^)=B-(VxA)-A.(VxB). qec
(V) Vx (/A) = (^ - 5IIM) 5t + (^IM^ - ?i|M) y + BiM^ - ^^
= /(VxA)-Ax(V/). qed
Problem 1.21
(a)(A.V)B=(A.^ + ^,^ + ^.^)x+(^.^ + A,^ + A.^)y
[(f.V)fL = ^(x£+,4; + zf)-
8. 6 CHAPTER 1. VECTOR ANALYSIS
Same goes for the other components. Hence: (f-V) f = 0 .
(c) (v?.V) V6 =(x^^+ 3xz^^ - 2xz^) [xy x + 2y2y + 3a;2 z)
= x^ B/ X + 0 y + 32 z) + 3x2^ (a; x + 22 y + 0 z) - 2x2 @ x + 2?/ y + 3a; z)
= (x^y + 3x22^) X + Fx2^ - 4xy2) y + Cx^2 - 6x^2) z
= I x2 B/ + 322) ^ ^ 2x2 C2^ - 22/) y - 3x^22 I
Problem 1.22 ~ ~~~~
(ii) [V(A.B)], = £(A.5. + AyBy + A,B.) = S^B. + A,^ + ^By + Ay^ + M.B, + a,^
[Ax{VxB)l^AyiVxB),-A.iVxB)y::.Ay{?t-^)-M^-^)
[Bx(VxA)L = B,(^-^)-B.(^-^)
[iA.y7)Bl = {A.£ + Ay^ + A.^^)B. = A.^ + Ay^ + A.^
[(B.V)A], = B,S^ + By^ + B,^
So[Ax(VxB)+Bx(VxA) + (A-V)B + (B-V)A]^
= Ay^ oxAy^ ay A,^ oz A,^ox By^ - y oy" ^ oz H" B,^
y - y - ^ + ^ + y ox By^ ^^^ * ox
= [V(A-B)]jj (same for y and 2)
(vi) [Vx(AxB)], = ^{AxB),--§-^{AxB)y = ^{A^By-AyB^)--l^{A,B^-A^B,)
- aj, ^y + ^X gy Sf^X Ay gy g^ H^ ^ Z -Q^ + Q^ ^J 4" ^X "gj^
[(B-V)A - (A.V)B + A(V.B) - B(V.A)]x
= B.^ + By^-^ + B.^-A.^-Ay^^-A.S^ + A4^-t + '-^ + '-t)-Bx{^ + '-^ + '-t)
+ M-^)+M-t)+B4^)
= [Vx(AxB)]j, (same for y and 2)
Problem 1.23
v(//ff) = -LUl9)^ + -§-y{fl9)y + Ufl9)i
^ ^fJT/ltx+^iM^y + ^ii^z
V-(A/ff) = ^(A./5) + |;(A,/ff) + ^(A./5)
- 1 L ?M^ 4- Ma. 4. M^^i ^( A ^4-/4 ^4-/4 ^"^1 - aV-A-A-Vg ,
- 5^ [5^^ ax + aj, + a^ ; V^^a?+^2'aj,+^^a^;J - ^ P ^- ^^^
10. CHAPTER 1. VECTOR ANALYSIS
Problem 1.26
■(V XV) -ai[-gf--gf) + si{^-^) + g^[-a^--S^)
- (& - fe) + (fe - fe) + (& - fe) = 0' by equality of cross-derivatives.
PromProb. 1.18: Vxvt =-2yx - 3zy - xz ^ V.(VXV6) = ^(-2y) + ^(-82) + ^(-a;) = 0. /
Problem 1.27 =========================^^ ====__
Vx(Vi)- _ ,->/ a't a't , ,%( a't a^i . a^ a''t e^t^
= 0, by equality of cross-derivatives.
In Prob. 1.11(b), V/ - 2xy'^z^ x + Zx'^y'^z^ y + 4x^^323 z, so
I X y z ■
Vx(V/)= ^ ^ ^
I 2xy^z'* 3a;^y3;j;4 4a;2j^3^
= xC • 4x^y^z3 _ 4 . 3a;2y2^3) ^ ^^D . 2xy^z^ - 2 • 4a;y3^3) + ^B . 3a:y2;^4 - 3 • 2xy^z'^) = 0. /
Problem 1.28
(a) @,0,0)—> A,0,0). a;:0-^l,y = z = 0;dl = da;x;v-dl = x2da;;/v-dl = /o'a;2da. = (a.3/3)|i^l/3
A,0,0) —> A,1,0). x= l,j/ :0-> l,z = 0;cfl = dj/y;v-dl = 2j/2d2/ = 0;/v-dl = 0.
A,1,0) —^ A, l,l).x = y = 1, z: 0 -> 1; dl = d^ z; v • dl = y^ ^z = dz; / v • dl = /(J dz = z|J = 1.
Total: / V • dl = A/3) + 0 + 1 = |4/3.|
(b) @,0,0) —> @,0,1). a; = 2/= 0,2:0->l;dl = d2z; vdl = 2/2 dz = 0;/v dl = 0.
@,0,1) —)• @,1,1). a; = 0,y : 0-> 1,2 = l;dl = dyy;v-dl = 2y2dy = 2j/dy;/ vdl =/o 2j/dy = j/2|i ^ 1
@,1,1) —)• A,1,1). X : 0 -> 1, y = z = 1; dl = da;x; v • dl = a;^ da;; / v • dl = /? a;^ da; = (a;3/3)|J = 1/3.
Total: / V • dl = 0 -)-1 + A/3) = 14/3. |
(c) X = y = z : 0 -> 1; da; = dy = dz; V • dl = a;2 da; + 2yz dy + y^dz = j? dx + 2a;^ da; -)- a;^ da; = 4a;^ da;;
/ V • dl = /o' 4a;2 da; = Da;3/3)|S - [l/s]
(d)/vdl=D/3)-D/3) = [0l| ____^__
Problem 1.29
x,y : 0 -> l,z = 0;da - dxdyz;v ■ da = y(z^ - Z)dxdy = -Zydxdy;Jv ■ da = -Zj^dx^^ydy =
-3(a;|o)Dlo) = -3B)B) = 112. | In Ex. 1.7 we got 20, for the same boundary line (the square in the a;y-
plane), so the answer is |no: | the surface integral does not depend only on the boundary line. The total flux
for the cube is 20 + 12 = |32. |
Problem 1.30
jTdr = J z^ dxdy dz. You can do the integrals in any order—here it is simplest to save z for last:
l''[l{h)'"h
The sloping surface isa; + y + z=l,so the x integral is /q ^ ^ da; = 1 - y - z. For a given z, y ranges from 0 to
1 - z, so the y integral is J^'-'^ {l-y-z)dy = [il-z)y- (y 72)]!^'^ = il-z)^-[{l- zf/l] = A - 2) V2 =
11. A/2) - z + (zV2). Finally, the z integral is ll zW - ^ + 4) dz = /o'D - z^ + 4) dz = (^ - ^ + '^) =
-e-
Problem 1.31
+ T6 = W^
T(b) = 1 + 4 + 2-7; T(a) = 0. => | T(b) - T(a) ^tTJ
VT = Ba; + 4y)x + Da; + 2z^)y + {6yz^)z; VT-dl = Ba; + 4y)da; + Da; + 2x^)dy + {6yz'^)dz
(a) Segment 1: x : 0-^1, y = z = dy = dz = 0. ^VT-dl = /^ Ba;) dx = x'^l = 1.
Segment 2: !/: 0 -> 1, a; = 1, 2 = 0, da; = dz = O./VT-dl = /q D)dy = 4y|J = 4. jl^T-di = 7. /
Segment 3: z:0-^l, a; = y = l, dar = dy = O./VT-dl = J^{Qz'^)dz = 2z3|J = 2.
(b) Segment 1; 0-^1, a; = y = da; = dy = 0. /VT-dl = /? @) dz = 0.
Segment 3; 00 -^ 1, ya;= = 0,1, dy1, dz = =0.dz/VT-dl = Jl{2x + 4) da; = 2y|J = 2. J^ VT-dl = 7. /
Segment
2: -> 1, 2 = 2 = = da; = O./VT-dl = Jq B)dy
(a;2+4a;)|; = l + 4 = 5.
(c) a;: 0 ->■ 1, y = x, z = x^, dy = dxdz = 2xdx.
VT-dl = {2x + 4x)dx + Da; + 2a;^)da; + Fa;a;'*Ja; da; = A0a; + 14a;?)dx.
f^ VT-dl = /o A0a; + 14a;?')da; = (Sa;^ + 2x'^)l = 5 + 2 = 7./
Problem 1.32
V-v = y + 2z + 3a;
Ji'V'v)dT = /(y + 2z + Zx) dxdydz = J J {/q (y + 2z + 3a;) dx}dydz
^[iy + 2z)x[y2+ +lx']l+ =6)y]l = +4 2z)+6+ =6)/{/oBj/16+ 4z + 6)dy}dz
M- {4z
2{y + 2Dz = 8z +
= f^iSz + 16)dz = D^2 + 16z) lo = 16 + 32 = [IsTI
Numbering the surfaces as in Fig. 1.29:
(i) da = dy dz X, a; = 2. v-da = 2y dy dz. /v-da = //2y dy dz = 2y^ |o — ^•
(ii) da = —dydz%x = 0. v-da = 0. Jv-d& = 0.
(iii) dsL — dxdzy,y = 2. v-da =:Azdx dz. JvdsL = JjAz dx dz = 16.
(iv) da = -da;dzy,y = 0. v-da = 0./v-da = 0.
(v) da = dx dy z, z = 2. v-da = 6a; da; dy. /v-da = 24.
(vi) da = —da; dy z, 2; = 0. v-da = 0. /v-da = 0.
^ /v-da = 8 + 16 + 24 = 48 /
Problem 1.33
Vxv = x@-2y) + y@ - 32) + z@ - a;) = -2yit-3zy - xz.
da = dy dz x, if we agree that the path integral shall run counterclockwise. So
(Vxv)-da = -2ydydz.
12. CHAPTER 1. VECTOR ANALYSIS
/(Vxv)-da = j{j^-'i-2y)dy}dz
^y^l-' = -{2-zr
= -J^i4-4z + z^)dz = -[4z-2z' + i)l
Meanwhile, vdl = (a;j/)da; + {2yz)dy + {Zzx)dz. There are three segments.
{l)x = z = Q; da; = dz = 0. y : 0 -^ 2. /vdl = 0.
B) a; = 0; z = 2-y dx = 0, dz = -dy, y : 2 -^ 0. vdl = 2yzdy.
/vdl = /° 2y{2 - y)dy = - J^i4y - 2y')dy = - {2y^ - y^) |J = - (8 - | • 8) = -|.
C) a; = 2/ = 0; da; = dy = 0; 2:2-^0. v-dl = 0. /v-dl = 0. So /v-dl = -|. /
Problem 1.34
By Corollary 1, /(Vxv)'da should equal |. Vxv = {4z^ - 2x)± + 2zz.
(i) da = dyd2x, a; = 1; y,2 : 0 -^ 1. (Vxv).da = {4z^ - 2)dydz; /(Vxv).da = /^ D^2 _ 2)dz
(ii) da = -dxdyz, z = 0; x,y:0^1. (Vxv).da = 0; /(Vxv)-da = 0.
(ill) da = da;d2y, y = 1; x,z:0^1. (Vxv)-da = 0; /(Vxv)-da = 0.
(iv) da = -dxdzy, y = 0; a;,z : 0 -^ 1. (Vxv).da = 0; /(Vxv)-da = 0.
(v) da = da;dyz, z = 1; a;,y : 0-^ 1. (Vxv)-da = 2dxdy; /(Vxv)-da = 2.
=i>/(Vxv)-da=-| + 2=|. /
Problem 1.35
(a) Use the product rule Vx(/A) = /(VxA) -Ax (V/) :
/"/(VxA).da=^5 ^5x (V/)] • da = / /A-dl+ /"[A x (V/)] • da. qed.
75
/" Vx(/A)-da+ /"[A ./P ^5
(I used Stokes' theorem in the last step.)
(b) Use the product rule V-(A x B) = B • (VxA) - A ■ (VxB) :
/"B-(VxA)dr= /" V.(AxB)dr+ /" A(VxB)dr= /(AxB)da+ / A-(VxB)dr. qed.
(I used the divergence theorem in the last step.)
13. Problem 1.36 r = i/a;2 +y^+ z"^; 9 = cos'^ P=tan-i(f),
Problem 1.37
There are many ways to do this one—probably the most illuminating way is to work it out by trigonometry
from Fig. 1.36. The most systematic approach is to study the expression:
r = x^ + yy + zz = rsmOcos<^x + TsinOsm(f)y + rcosOz.
If I only vary r slightly, then dr = ^(r)dr is a short vector pointing in the direction of increase in r. To make
it a unit vector, I must divide by its length. Thus:
1^ = sin0cos0x + sin0sin0y + cos0z; |^| = sin^ 0cos^ 0 + sin^ 0sin^ ^ + cos^ 0 = 1.
If = r cos ^ cos 0X + r cos 0 sin 0y - >" sin 0 z; 11| | = r^ cos^ 6 cos^ <j!> + r^ cos^ 9 sin^ (p + r"^ sm^ 9 =
sin^z;
dit) flsin^x + rsin^cos^y; |0| = + r-' sin"" 6 cos'' (p - r^ sin"" (
f — sin 9 cos ^ X + sin 0 sin 0y + COS0Z.
e = cos 9 COS (f)jt + cos 9sm(f)y - sin 9 z.
0 = — sin^x + cos0y.
Check: f-f = sin^ ^(cos^ 0 + sin^ 0) + cos=^ 9 = sin^ 9 + cos^ 9 = 1, /
9-^=:-cos9sm(f)cos<l> + cos9sm(f)cos(f) = 0, / etc.
sin9r = sin^ 0cos0x + sin^ 9sm(j>y + sin9cos9z.
cos90 = cos^ 9cos(j)x. + cos^6sin0y — sin^cos9z.
Add these:
A) sinfif + cos^e ^+cos0x + sin^y;
B) 4> - -sm(f)Tt + cos<py.
Multiply A) by cos0, B) by sin0, and subtract:
h=- sinfl COS^f + COS0 COS 00 - sin 0 0.1
Multiply A) by sin0, B) by cos0,, and add:
and add:
|j == sinS sin 0 f + COS 9 sin 0 0 + cos (j) 0.1
cos^f = sin0cos0cos0x + sin0cos0sin0y+ cos2(
sin ^ 0 = sin 9 cos 0 cos 0 x + sin 9 cos ^ sin 0 y - sin^ (
Subtract these:
14. CHAPTER 1. VECTOR ANALYSIS
Problem 1.38
(a) V-v, = ^i:{r^r^) - ^4^^ = 4r
/(V-v,)dr = f{4r)ir^sin0drded,f>) ^ {4) J^r^dr J^ sin0d0 Jl^dcj, = D) (^) B)B7r) =^¥
/vi-da - /(r2f).(r2 sin^d^d^f) = r" /J" sin0d0f^' d<j) = 4nR'^ / (iVote; at surface of sphere r = /2.)
(b) V.V2-J.|:(r2 4,)=:0 =^ /(V.V2)dr = 0
/v2-da = /(^f) (r2sin6ld6l#f) = JsinOdOd^) = [i^
They rfon'i agree! The point is that this divergence is zero except at the origin, where it blows up, so our
calculation of /(V-V2) is incorrect. The right answer is 4ir.
Problem 1.39
V-v = 4,|,(r2rcos0) + ;:^^(sin0rsin0) + ^^(rsin0cos0)
— ^ 3r^ cos 9 + ^gl^g r 2 sin 0 cos 0 + j^^ r sin 0{— sin 0)
= 3cos0 + 2cos^ — sin0 = 5cos0 — sin0
J{V-v)dT = /E cos 0 - sin 0) r^ sin 0 dr d0 d(f> = f^ r^ dr j} U^""E cos 0 - sin 0) d^l dB sin 0
M'27rEcos0)
= (f )A07r)//sine cos 0,d0
-^-^1^ = 1
Two surfaces—one the hemisphere: da = i?^ sin 0 d0 d0 f; r =^ R; 0 : 0 ->■ 27r, 0 : 0 -> |.
Jv-da = J{rcos0)R^ sin0d0d(t) - R^ // sin0cos0d0 J^" d<j) = R^ (|) {2-k) = ttR^.
other the flat bottom: da = (dr)(r sin 0d0)(+0) = rdrd(j>e (here 0 = f). r : 0 -^ J?, 0 : 0 -> 27r.
/v.da = /(r sin 0)(r drd0) = J^ r"" dr J^"' d(f, = 2n^.
Total: Jv-da. = ttR^ + ^nR^ = ^nR^ /
Problem 1.40 Vt = (cos0+ sin0cos0)f + (-sin0 + cos0cos0H+ -:AT-(-si)if0sin0)^
W'H = V-{Vt)
= ^ (r2(cos0 + sin0cos0) + ^Jj^ (sin0(-sin0+ cos0cos0) + ^ri^ {-sin(j) — -^ 2r(cos0 + sin6cos0) + ^ l^ (-2sin0cos0 + cos^ 0cos0 - sin^ 0cos0) - ^:^t^ cos0
= 7^^ [2 sin 0COS 0 + 2 sin^ 0 cos 0 - 2 sin 0Cos 0 + cos^ 0 cos 0 - sin^ 0 cos 0 - cos 0]
= j^ [(sin^ 0 + cos^ 0) cos 0 - cos 0] = 0.
^ [Vh = 01
Check: rcos0 = z, rsin0cos(f> — x ^ in Cartesian coordinates t = x + z. Obviously, Laplacian is ze:
Gradient Theorem: f^ Vt-di = f (b) - f (a)
Segment i; 0 = f, 0 = 0, r : 0 -> 2. dl = drf; Vt-dl = (cos0 + sin0cos0)dr = @ + I)dr = dr.
fVt-d[ = f^dr = 2.
Segment g; 0 = f, r = 2, 0 : 0 -> f. dl = rsin0d00 = 2d0^.
Vf-dl = (-sin0)Bd0) = -2sin0d0. /Vf-dl = - f^ 2sin<pdcp = 2cos0|| = -2.
15. Segment 3: r = 2, 0 = f; 0 : f -^ 0.
dl = rdee = 2d0e; Vf-dl= (-sm0 + cos0cos0)Bd0) = -2smed9.
JVt-dl^-J°2smedd^ 2cos0|l =2.
Tota/; /^'' Vf-dl = 2-2 + 2 = [2]. Meanwhile, f (b) - f (a) = [2A + 0)] - [0( )] = 2. /
Problem 1.41 Prom Fig. 1.42, s = COS0X +sin</iy; 0 = — sin</ix + cos</iy; z = z
Multiply first by cos 0, second by sin <p, and subtract:
s cos 0 — ^ sin 0 = cos^ 0 x + cos 0 sin 0 y + sin^ 0 x — sin 0 cos 0 y = x(sin^ 0 + cos^ 0) = x.
So X = cos 0 s — sin 0 0.
Multiply first by sin 0, second by cos 0, and add:
s sin 0 + 0 cos 0 = sin 0 cos 0 x + sin^ 0 y - sin 0 cos 0 x + cos^ 0 y = y(sin^ 0 + cos^ 0) = y•
So y = sin0§ + cos00. |z = z. |
Problem 1.42
(a) V-v = i^(ssB + sin2 0))+i^(ssin0cos0) + ^Cz)
= i 2sB + sin^ 0) + 7 s(cos2 0 - sin^ 0) + 3
= 4 + 2 sin^ 0 + cos^ 0 - sin^ 0 + 3
= 4 + sin^ 0 + cos^ 0 + 3 = [sT]
(b) /(V-v)dr = /(8)sds d<pdz = 8 f^ s ds J^ d<j) f^ dz = 8B) (f) E) = 140n.
Meanwhile, the surface integral has five parts:
top: z = 5, da — sdsdcj) z; v-da = 3z s ds d0 = 15s ds d0. /v-da = 15 /^ s ds f^' d(f) = 157r. bottom: z = 0, da = —sdsdcpz; v-da = —Zzsds-dcj) = 0. /v-da = 0.
back: 0 = f, da = ds dz 0; V'da = s sin 0 cos (j)dsdz = 0. J v-da = 0.
left: 0 = 0, da = —ds dz 0; v-da = —s sin 0 cos (pdsdz = 0. fv'da = 0. front: s = 2, da = sd(j>dz s; v-da = sB + sin^ 0)s d0dz = 4B + sin^ 0)d0dz.
Jvda = 4/o? B + sin2 0)d0/o dz = D)Gr + f )E) = 257r.
So /vda = 157r + 257r = AOtt. /
(c) Vxv = (i^Cz)-^(ssin0cos0))s+(^(sB + sin2 0))-^Cz)H
+ J {mi^^sin0cos0) - ^ (sB + sin20))) z
= ^Bssin0cos0 - s2sin0cos0) = [qT]
Problem 1.43
(a) 3C2) _ 2C) _ 1 ^ 27 - 6 - 1 = [2071
(b)cos7r = m
(c) I zero. I
(d) ln(-2 + 3) = In 1 = [^eroT]
Problem 1.44
(a) f_^{2x + 3)|<J(a:) dx = |@ + 3) = [I]
(b) By Eq. 1.94, 5A - a;) = 5(x - 1), so 1 + 3 + 2 = [gT]
16. CHAPTER 1. VECTOR ANALYSIS
(d)|l(ifa>6), 0(ifa<6O|
Problem 1.45
(a) JZo /(^) [^^<^(^)] d^ = xnx)dix)C^ - jr^ £ ixfix)) 5{x) dx.
The first term is zero, since 5{x) = 0 at ±oo; ^ {x f{x)) -x^ +^f = x§^ + f.
So the integral is - /^ {x% + /) 5{x) dx ^ 0 - /(O) = -/(O) = - fZo fi^)^i^) dx.
So, x£S{x) = -Six), qed
(b) !Zo m^dx = fix)eix)'^^ - fZ, fj{x)dx = /(CO) - /o°° £dx = /(oo) - (/(oo) - /(O))
- m - /.Too /(^)'^(a:) da:. So £ = <5(x). qed
Problem 1.46
(a) p{r)^q5^{r-r'). Check: /p(r)dr = q f5^{r - r') dr = q. /
(c) Evidently p{r) = AS{r — R). To determine the constant A, we require
Q^JpdT = jASir - iZL7rr2 dr = A47riZ2. So A = 4^. p{r) = ^5{r - R).
Problem 1.47
(a) a^ + a-a + a"^ - |3a^.|
(b)/(r-bJ^53(r)dr = ^62 = ^D2+32) = g]
(c) c^ = 25 + 9 + 4 = 38 > 36 = 6^, so c is outside V, so the integral is
(d) (e - Bx + 2y + 2z))^ = (Ix + Oy + (-1) z)^ = 1 + 1 = 2 < A.5J ^ 2.25, so e is ins
and hence the integral is e-(d - e) = C,2, l)-(-2,0,2) = -6 + 0 + 2 = [T]
Problem 1.48 ~~
First method: use Eq. 1.99 to write J = / e"'' D7r5^(r)) dr = 47re"° = |47r.|
Second method: integrating by parts (use Eq. 1.59).
J ^ - / 4 • "^(^"'■) dr+ ie-"-—- da. But V (e-"-) = (§^e~'') f = -
V 5
= / -^e~''A7rr^ dr + / e"""-^ • r^sinfld^d^f = 47r / e~''dr + e~^ / sin
47r (-e-'-) |~ + 4ne-^ = Att (-6"°° + e"") - 47r./ (Here R = -0.)
Problem 1.49 (a) V-Fi = £{0) + ^@) + ^ (x^) = [o]; V-F^ = ^ + ^ + ^ = 1+ 1 + 1 =[z]
X y z X y z
-y^(x^)=E23= ^x^^ =
^ .a. A a a a
Sx 8y dz dx di m = 0
0 0 a;2 x y z
17. IF2 is a gradient; Fi is a curl [ rt/2 = ^ (a;^ + 2/^ + 2^H would do (F2 = VU2).
For Ai, we want (^ - ^) = (^ - ^) - 0; ^-^=x^. Ay = ^, A^ = A, :^ 0 would do it.
Ai = |x^ y (Fi — Vx Ai). (But these are not unique.)
(b) V.F3 = ^(yz) + ^{xz) + f^ixy) = 0; VXF3 z x{x-x) + y {y-y) + z{z-z) = 0
yz xz xy
So F3 can be written as the gradient of a scalar (F3 = VC/3) and as the curl of a vector (F3 = VXA3). In
fact, Uz — xyz does the job. For the vector potential, we have
dy dz = yz, which suggests A^ - y'^z + f{x,z) Ay = -yz'^ + g{x,y)
= xz, suggesting Ax = z'^x + h{x,y); Az = -zx^ + Jiy,z)
= xy, so Ay = x^y+ k{y,z); Ax =-xy'^+l{x,y)
Putting this all together: A3 = j {x [z^ - J/^) x + y (a;^ — z^)y + z (y^ — a;^) z} (again, not unique).
Problem 1,50
(d) =i' (a): VxF = Vx(-VC/) = 0 (Eq. 1.44 - curl of gradient is always zero).
(a) ^ (c): fF-d[ = /(VxF) • da -: 0 (Eq. 1.57-Stokes' theorem).
(c)^(b):/^>.dl-/^V-'^l = /a>-^ + /bV.dl=i^F.dl = 0,so
/ F.dl= / Fdl.
■/a / Ja II
(b) ^ (c): same as (c) ^ (b), only in reverse; (c) =^ (a): same as (a)^ (c).
Problem 1.51
(d) ^ (a); V-F = V'(VxW) = 0 (Eq 1.46—divergence of curl is always zero).
(a) ^ (c); §F -da- /(V-F) dr = 0 (Eq. 1.56—divergence theorem).
(c) ^ (b): /^ F • da - /r^ F • da - f F • da = 0, so
/Fda= f I
Ji Jii
{Note: sign change because for ^ F • da, da is outward, whereas for surface II it is inward.)
(b) ^ (c): same as (c) ^ (b), in reverse; (c)^ (a): same as (a)^ (c) .
Problem 1.52
In Prob. 1.15 we found that V-Vg = 0; in Prob. 1.18 we found that Vxvc = 0. So
Vc can be written as the gradient of a scalar; Vo can be written as the curl of a vector. E
(a) To find t:
A) ^=^y'^t^y^x + f{y,z)
B) IL={2xy + z^)
C) t - 2yz
18. CHAPTER 1. VECTOR ANALYSIS
Prom A) & C) we get % =2yz =^ f = yz^ + g{y) =^ t = y^x + yz^ + g{y), so ^ = 2xy + 2^ + || =
2xy + z^ (from B)) =*■ || = 0. We may as well pick 5 = 0; then | f = xy^ + yz^.
(b)TofindW: ^ - ^ = a^^l ^"^ : Zz'^x;
Pick ly^ = 0; then
dx = -3xz2 =>W, = -^x^z^ + f{y, z)
dWy = -2xz^Wy==-x'^z + g{y,z).
dx
= i^ + ^' - if = ^' ^ S - if = 0- May as well pick / = g = 0.
Check: VxW = = X (x2) + y Cx22) + 2 (_2xz)./
0 -x^z -^xh
You can add any gradient (V*) to W without changing its curl, so this answer is far from unique. Some
other solutions:
W = xz^x — x^zy;
W = [2xyz + xz^) X + x'^y z;
W = xyz X - ^x^z y + ^x^ [y - 32^) g.
Probelm 1.53
W = l|.(r2r2cos0) + -l^^(sin0r2cos.^) = -^-|-(-r2cos0sm^)
= -x^r^ cos0 H r-^ cos0r^ cos 6 + —r-T f-r^ cosfl cos0)
= . [4 sin 0 + cos 0 - cos 0] = 4r cos 9.
l{V-)dT = I {4r cose)r^sinedr ded<f> = 4 I r^ dr I cose sine de I d^
Surface consists of four parts:
A) Curved: dsL = R^ sineded<pT; r = R. v ■ da = (J?^cose) (i?^;
7r/2 7r/2 ^
f vd& = R'' f cose sine de f d(i> = R''U (|)=r![|-.
19. B) Left: da = -rdrdd^; 0 = 0. v • da = (r^ cos^sin^) {rdrdB) = 0. /v • da = 0.
C) Back: da = rdrde^; cj) = 7r/2. v • da = (-r^ cos 9 sin 0) (r dr dB) = -r^ cos 0 dr d9
/"vda= Ir^dr f cos9de = -(^R^^{+l) = -^R*.
0 0
D) Bottom: da = r sin dr d(jN; 9 = i^j^. v • da = [r^ cos 0) (r dr d(f)).
R 7r/2
/ V • da = r^dr / cos^d^ = -i?''.
0 0
rota/; f V • da = 7riZV4 + 0 - ii?" + iij4 ^ 2l|l. /
Problem 1.54 =======================================^ =__
■ X y z I
£ ^ ^ =z(fe-a). So /(Vxv)-da=F-aOr/22.
ay bx 0 I
vdl= (ayx + 6a;y) • (tfccx+ dyy+ dzz) = aydx + bxdy; x^ + y"^ = R"^ =i' 2xdx + 2ydy = 0,
so dy = —{x/y) dx. So v • dl = aydx + bx{-x/y) dx = ^ [ay"^ — bx^) dx.
For the "upper" semicircle, y = y/R"^ — x^, so v • dl = ° vna- a " ^^-
|v.dl = |£^lz(i±M :|aiZ2sin-i(£)-(a + 6)[-|v^
a/^^
• a;-* + -r- sm
■(I)
= ^R-'ia - b) sn-xlR) ^ = Ra - b) (sin-i(-l) - sin-H+l)) = Ra - b) (-| - |)
= IwR-'ib-a).
And the same for the lower semicircle (y changes sign, but the limits on the integral are reversed) so
§ydl = 7rR^{b-a). /
Problem 1.55 =========::==.=^...==.=..::===== = =
{I) x = z = 0; dx = dz = 0; y : 0 -^ 1. v ■ dl - {y + 3x) dy = y dy.
1 1
J vdl= I ydy = -.
0 0
B) X = 0; 2 = 2 - 2y; dz = -2dy; j/ : 1 -> 0. v • dl = (y + 3a;) dy + 6dz = ydy - 12dy = (y - 12) dy.
0
|v.dl = y(y-12)dy = -Q-12)=-i + 12.
C) X = y = 0; da; = dy = 0; z : 2 -^ 0. v • dl = 6dz;
0
fvdl= f6dz=-l2.
20. CHAPTER 1. VECTOR ANALYSIS
Total: ,fv-dl= ^-| + 12-12 = [or|
Meanwhile, Stokes' thereom says /v • dl = /(Vxv) • da. Here da = dydz it, so all we need is
(Vxv)^ = ^{6) - ^{y + 3x) = 0. Therefore /(Vxv) • da = 0. /
Problem 1.56
Start at the origin.
A) 0=1, 0 = 0; r:0->l. v • dl = (rcos^0) (dr) = 0. /v-dl = 0.
B) r=l, e = ^; (f>-.0-^71/2. v • dl = Cr)(rsin0d0) = 3d0. /v • dl = 3 / d0 = ^.
0
C) (f> — f; rsinO — y = 1, so r = ^^, dr = ^^^cosOdO, 0 : | -> j.
/ 9 ?N ,, ^ , ? ?^/ ,^x cos^0 / cosO , , cos0!
v-dl = (rcos^0)(dr -(rcos^sin^ (rd^ =^-Z- T^]dtheta -,
^ '^ ' ^ sm0 V sin^^y sin^
/cos^g cosg _ cosg /cos^g + sin'^gN cosg
Vsin^^ sin^y ~ sin0 I, sin^0 / ~ sin^0
Therefore
f rn- 7 ^°^^ r/ft- ^ r^"- ^ ^-1_i-l
/"' y sin^fl'"^" 2sin2 0L/2 .(l/2) 2-(l)-^ 2-2"
D) 61 = f, 0 = f; r : v^ -^ 0. v • dl = (r cos^ 9) (dr) = ^rdr.
r 1 r ir'^f 1 1
Stokes' theorem says this should equal /(Vxv) • da
+ - [|-(-rr cos0sin0) - ^ (rcos^^)] 4>
- Scoter-60.
A) Back face: da ^-r dr d9 4); (Vxv)-da-iO. /(Vxv)-da = 0.
B) Bottom: da - -rsinOdrdcp6; (Vxv) -da — 6rsm0drd<l). 0 = |, so (Vxv) • da = 6rd
n/2
j{Vxv)-da^ j Qrdr j d<j,A. Q---^ ^'^
'
= ?.!.___ 2 2 ■
21. Problem 1.57
V •dl = ydz.
A) Left side: z = a-x; dz = -dx; y = 0. Therefore / v • dl = 0.
B) Bottom: dz = 0. Therefore / v • dl = 0.
{3) Back: z = a-^y; dz = -l/2dy; y:2a^0. fvdl=fy{-^dy) = -^^° = ^ =^
Meanwhile, Vxv = x, so /(Vxv) • da is the projection of this surface on the xy plane = - a-2a — c?. /
Problem 1.58 ~~~~~ ~~~~ """
V.v = 41- ('•''•' si" ^) + ^ 4 (si" ^ 4r2 cos Q) + ^ ~ (r^ tan 0)
= 4r^ sin e + -^4r^ (cos" 9 - sin^ 9)^-^ (sin^ 0 + cos^ 9 - sin^ 0)
, cos2 0
smp
Av-v) dr ^ f Dr^) (r' sin ^ dr d0 d<j>) = / r3 dr f cos^ 9dd fd<P= {R') B7r) [^ + ^11
0 0 0
Surface consists of two parts:
A) The ice cream: r - R; (p :0 ^ 2n; 9 :0 ^ n/6; da = R'^ sin 9 d9 d(f> f; v-da = (J?^ sin 0) (J?^ sin 0 d0 d0) ==
/ZSin^ 61 d0d0.
/" v-da = /?"/' sin2 9 dJd j d<i> 0 [^9 - ^° = 27:/?" (^^ " | sin 60°^ " ^ ('^ ~ ^"T )
0
= {R"^) {2n) sin 2^] ^ ^ ^
B) Tfte cone: 0 = f; 0 : 0 -^ 27r; r : 0 -^ J?; da = rsin0d0dr0 = ^rdrd^S; v • da = x/Sr^ drd^
/"v • da = v/3 /r^dr /d0 = ^/3 ~ • 27r = ^Tri?".
0 0
Therefore / v • da = ^^ (f - ^^ + ^/3) = 2^ B7r + 3n/3) . /
Problem 1.59
(a) Corollary 2 says f (VT) -dl = 0. Stokes' theorem says f (VT) -dl = /[V x (VT)] -da. So /[V x (VT)] -da = 0,
and since this is true for any surface, the integrand must vanish: Vx(VT) = 0, confirming Eq. 1.44.
22. 20 CHAPTER 1. VECTOR ANALYSIS
(b) Corollary 2 says/(Vxv)-da = 0. Divergence theorem says/(Vxv)-da = / V'(Vxv)dr. So/V'(Vxv)dr
= 0, and since this is true for any volume, the integrand must vanish: V(VXv) =0, confirming Eq. 1.46.
Problem 1.60
(a) Divergence theorem: /v • da = /(V-v) dr. Let v = cT, where c is a constant vector. Using product
rule #5 in front cover: V-v = V-(cT) = r(V-c) + c • (VT). But c is constant so V-c = 0. Therefore we have:
/c • (VT) dr — jTc- da. Since c is constant, take it outside the integrals: c • / VTdr = c • /Tda. But c
is any constant vector—in particular, it could be be x, or y, or z—so each component of the integral on left
equals corresponding component on the right, and hence
qed
(b) Let V ^ (v X c) in divergence theorem. Then / V'(v x c)dr = /(v x c) • da. Product rule #6 ^
V-(v X c) = c • (Vxv) - V • (Vxc) = c • (Vxv). (Note: Vxc = 0, since c is constant.) Meanwhile vector
identity A) says da • (v x c) = c • (da x v) = —c • (v x da). Thus /c • (Vxv) dr = — /c • (v x da). Take c
outside, and again let c be x, y, z then:
/ (Vxv) dr - - V xda.
(c) Let V = TVC/ in divergence theorem: / V-(TVf/) dr - J TVU-da. Product rule #E) => V-(TVC/) =
TV-(Vf/) + (Vf/) • (VT) = TV2[/ + (VC/) • (VT). Therefore
I {TV^U + (VC/) • (VT)) dr = [(TVU) ■ da. qed
(d) Rewrite (c) with T <^ U : J {UW^T + (VT) • (VC/)) dr = J{UVT)-dai. Subtract this from (c), noting
that the (VC/) ■ (VT) terms cancel:
I {TV^U - UV^T) dr = [{TVU - UVT) ■ da. qed
(e) Stoke's theorem: /(Vxv) • da = /v ■ dl. Let v = cT. By Product Rule #G): Vx(cT) = T(Vxc) -
c X (VT) = -c X (VT) (since c is constant). Therefore, - /(c x (VT)) ■ da = /To • dl. Use vector indentity
#1 to rewrite the first terra (c x (VT)) • da = c • (VT x da). So - / c • (VT x da) = /c • Tdl. Pull c outside,
and let c ->■ x, y, and z to prove:
/ VTxda = -ATdl. qed
Problem 1.61
(a) da = R^ sin 9dJ9dij)T. Let the surface be the northern hemisphere. The x and y components clearly integrate
to zero, and the z component of r is cos 6, so
a= f R^smecoseded(f>z = 2nR'^z r singcosgdg = 2nR^ z^^^"^^ = nR^ z.]
(b) Let T = 1 in Prob. 1.60(a). Then VT = 0, so /da = 0. qed.
(c) This follows from (b). For suppose aj 7^ a2; then if you put them together to make a closed surface,
/ da = ai - a2 7^ 0.
(d) For one such triangle, da = |(r x dl) (since r x dl is the area of the parallelogram, and the direction is
perpendicular to the surface), so for the entire conical surface, a = | /r x dl.
23. (e) Let T = c • r, and use product rule #4: VT = V(c • r) = c x (Vxr) + (c • V)r. But Vxr = 0, and (c-V)r= {cx-§i + ^?^ +Ci^)(a;x + ?/y = zz) - CxX + Cyy + c^z = c. So Prob. 1.60(e) says
/Tdl= i{c-T)d = - f{VT)xd&=- /cxda = -cx /da = -c X a = a X c.
Problem 1.62
For a sphere of radius R:
/vda = f {^t)-{R^ sine d9d<i>t)=Rf sine d0d<j) = A7rR. ]
(R I So divergence
fdrUf sineded<j>) = A-kR. f theorem checks.
Evidently there is no delta function at the origin.
^^ ('•"'^ = hi ('•''•") = hWr ('•"^'^ = ;^(" + 2)r"+> =|(n + 2)r"-^|
(except for n — —2, for which we already know (Eq. 1.99) that the divergence is 47r5^(r)).
B) Geometrically, it should be zero. Likewise, the curl in the spherical coordinates obviously gives | zero. |
To be certain there is no lurking delta function here, we integrate over a sphere of radius R, using
Prob. 1.60(b): If Vx(r"f) = 0, then /(Vxv)dr = 0 = -§v x da. But v = r"f and da =
I?sinedJ9dij)T sie both in the f directions, so v x da = 0. /
24. Chapter 2
Electrostatics
Problem 2.1
(a) I Zero. |
(b)
47reo T where r is the distance from center to each numeral. F points toward the missing q.
lanation: by superposition, this is equivalent to (a), with an extra -g at 6 o'clock—since the force of all
twelve is zero, the net folrce is that of —q only,
(c) I Zero. I
(d) 147reo pointing toward the missing q. Same reason as (b). Note, however, that if you explained (b) a
qQ r^
a cancellation in pairs of opposite charges A o'clock against 7 o'clock; 2 against 8, etc.), with one unpaired q
doing the job, then you'll need a different explanation for (d).
Problem 2.2
(a) "Horizontal" components cancel. Net vertical field is: Ez = '^r^'§^ cos9. y
2qz
-(r
4-0 (,2+AJ^
When z ? d you're so far away it just looks like a single charge 2q; the field
should reduce to E = j^^ff z. And it does (just set d —> 0 in the formula).
(b) This time the "vertical" components cancel, leaving
E=4i^2^sin0x,or
E = 47reo
Prom far away, {z ? d), the field goes like E w ^^Fj^fr z, which, as we shall see, is the field of a dipole. (If we
set d —> 0, we get E = 0, as is appropriate; to the extent that this configuration looks like a single point charge
from far away, the net charge is zero, so E -> 0.)
25. ^ +x^; cos9 = |) )se; (-^2
dq = Xdx
[{-'*7A^)^^{7^)i
For z^ L you expect it to look like a point charge q — XL: E - -^z. It checks, for with 2 ? L the x
term -^ 0, and the z term -¥ 4^^772-
Problem 2.4
From Ex. 2.1, with L -^ | and z -> yz^ + (|) (distance from center of edge to P), field of one edge h
1 Ao El-
47reo ^22 + ^^^2 + 0^ + 3^'
There are 4 sides, and we want vertical components only, so multiply by 4cos0 = 4 , '
4Aaz
E= z 1 (-^ + f)
47reo
"Horizontal" components cancel, leaving: E = ^^ {/^ cos^} z.
Here, -i^ = r^ + z^, cos0 = | (both constants), while Jdl = 2irr. So
1 AB7rr)z
' 4^ (^2 + ^2K/2
Problem 2.6
Break it into rings of radius r, and thickness dr, and use Prob. 2.5 to express the field of each ring. Total
charge of a ring is a ■ 27rr • dr = X- 2nr, so A = adr is the "line charge" of each ring.
1 {adrJnrz _ ^ ^ [^ r ,
26. CHAPTER 2. ELECTROSTATICS
For i? > 2 the second term -^ 0, so Epiane = 4^'^''^^''
For z ?/2, ^^gl^ - i A + f )~'^'? i A - If^), so [
and £; = ji^^^ =i^§s, where Q - TriZV. /
Problem 2.7
E is clearly in the z direction. Prom the diagram,
dq — ada — aR^ sin $
-i2^i?2+z2-2iZzc(
= J_ f crR^ sin 2/2z cos 61K/2
^ ~ 47r£o y (i?2 + Jd(f> = 27r.
B-i?cosg)sing 0^u = +l 1
= COS 9 du = - sin
22 -2iJz cos 61K/2
47reo - 2Rzu)y- r^du. Integral can be done by partial fractions—or look it up.
1 zu-R
47r£o Vi?2 + z2 _ 2Rzu. 47reo z^ (jz-R) i-z +- R J'
1 27rJZV {z-R z R) ]
For z > iZ (outside the sphere), -E^ = 5^
For z < /2 (inside), E^ = 0, so |E = 0. |
Problem 2.8
According to Prob. 2.7, all shells interior to the point (i.e. at smaller r) contribute as though their charge
were concentrated at the center, while all exterior shells contribute nothing. Therefore:
E(r) = 47reo -f,
where Qmt is the total charge interior to the point. Outside the sphere, all the charge is interior, so
E = - 47reor
Inside the sphere, only that fraction of the total which is interior to the point counts:
" |7riZ3^ " R^ Q, so E = 47reoiZ3^r2 47reo R^
Problem 2.9
(a) p ^ eo V- E =: eo;nr^ (r^ • kr^) = eo^k{5r^) = | Sepfcr^ [
27. (b) By Gauss's law: Qenc = co/E • da = eo{kR^)i4nR'^) = |47reofci?^|
By direct integration: Qenc = fpdr = J^{5 okr^)i4nr'^dr) = 20n ok J^r'^dr = AneokR^V
Problem 2.10
Think of this cube as one of 8 surrounding the charge. Each of the 24 squares which make up the surface
of this larger cube gets the same flux as every other one, so:
/ E • da = — / E • da.
The latter is ^-q, by Gauss's law. Therefore / ■ 24eo'
/;;;;ZIZ:;X^ Gaussian surface: Inside: / E • da = Eiinr"^) = ^Qenc = 0 =i? | E ^ 0. L
( ( "F7 ) " Gaussian surface: Outside: E{A7rr^) = ^(aiTtR^) ^ E = ^ f. J >- (As in Prob. 2.7.)
Problem 2.12
- Gaussian surface /E-da = E ■ 47tr^ ^ ^Qenc = = i|7rrV So
u ^=i-o^'-
^ ^
Problem 2.13
Since (Jtot =3"' ^'p^^=ik ;^f (as in Prob. 2.8).
Gaussian surface
t /
^
(] [) Y J E = -^s (same as Ex. 2.1).
2neos
7"
Problem 2.14
Gaussian surface /E • da = S • Anr"^ = j^Qenc = 7^ Jp^t = 7^ K^^)(^^ ^^"^'^^'^
E = -±-nkrH
47reo
28. CHAPTER 2. ELECTROSTATICS
Problem 2.15
(i) Qenc = 0, SO I E = 0. I
(ii) §E-da = E{A7tr^) = ^Qenc = j^fpdT = j^J^f^sin6dfd9dphi
= ^Jldf=^{r-a): '-ii:-^y
(iii) £D7rr2) = ^J^df=^ib- a), so
Problem 2.16
•(^m - Gaussian surface §E-da = E-2ns-l = j^Qeuc = j^P^s'^h
- Gaussian surface
,., Q Fi §E.dsi = E-2ns-l= ^Oenc = ^iOTra^/;
Q Yyy
Gaussian surface
(iii)
r—^
Problem 2.17
On the xz plane E — Qhy symmetry. Set up a Gaussian "pillbox" with one face in this plane and the
other at y.
Gaussian pillbox / E • da = g • ^ = ^Qenc = T^Ayp;
(for y < d).
29. <?enc = iiAdp =^ E = —dy (for y > d).
Problem 2.18
Rrom Prob. 2.12, the field inside the positive sphere is E+ = 3f-r+, where r+ is the vector from the positive
center to the point in question. Likewise, the field of the negative sphere is — g^-r-. So the total field is
VxE = Vx / -^pdr = / Vx [ -T I pdr (since p depends on r', not r)
47reo J i^ 47reo 7 [ * / J
= 0 (since Vx ( ^ j =0, from Prob. 1.62).
Problem 2.20
A) VxEi = = k [x@ - 2y) + y@ - Zz) + z@ - a;)] ^ 0,
xy 2yz Zzx
0 El is an impossible electrostatic field.
B) VxEz = fc = k [x{2z - 2z) + y@ - 0) + zBy - 2y)] =
2xy + z^ 2yz
so E2 is a possible electrostatic field.
Let's go by the indicated path:
E • dl = (y2 dx + {2xy + z^)dy + 2yzdz)k •(a;o.yo,2o)
Step I: y = z = 0;dy = dz = O.E-dl. = ky^^ = 0.
Step II: X = xo, y : 0 -^ yo, z = 0. dx = dz — 0.
E-dl = k{2xy + z'^)dy = 2kxoy dy.
JjjE'dl = 2kxoJ^°ydy^kxoyl X"
Step III: X = xo, y = yo, z : 0 -> zq; dx = dy = 0.
30. CHAPTER 2. ELECTROSTATICS
E . dl = 2kyzdz = 2kyQzdz.
Jjjj E . dl = 2yok J^° zdz = kyoz^.
V{xo,yo,zo) = - 7 E . dl = -k{xoyl + yoz^), or v{x,y,z) ^ -kixy"^ + yz'^).
Check: -■VV=k[-^{xy''+yz')it+-^{xy''+yz^)$+-^{xy'+yz'')i]=kly'S.+Bxy+z'')y+2yzZ]=B /
Problem 2.21
nr) = -X;E.dl. {Outside thethe sphere {r i?)R)::'E^-^^i^r.
Inside
sphere (r > < E = ^—-^rr.
Q 1
So for r > iZ: F(r) = -/; (jJ^^) df = j5^9 (i) [ 47r£o r'
and for r < R: F(r) = - J^ (^^^) dr - f^, {^-^r) df=^^[^--^ {^
When r>R,VV=-^^{i:)T= —^^r, so E = -VF = j^^rf. /
When r<R,VV = j^^j: {s-^)f= j^ A J-w) ? - -J^S^?; ^o ^ = "W ^ ^^^rf./
Problem 2.22
E = 45fj-^s (Prob. 2.13). In this case we cannot set the reference point at oo, since the charge i
extends to oo. Let's set it at s = a. Then
V I Ja V47r,Eo s J 4^^^ Va/
(In this form it is clear why a = oo would be no good—likewise the other "natural" point, o = 0.)
VV = - j^2A4 (In (f)) s = -7;^2Ais = -E. /
Problem 2.23
V{0) = -/^E . dl = -XL(^^)dr-/;(^^)dr - f^{0)dr = { -^(ln(f)+a(i-i))
Hl-f-ln(f)-l + f}=|^<^)-
Problem 2.24
Using Eq. 2.22 and the fields from Prob. 2.16:
FF)-F@) = -/o'E.dl = -/;E.dl-/?*E.dl=-2f^/;sds-|f^/?*ids
=-F)C-tS'-i'=-^(^^""c)
Problem 2.25
(a)
V-^+df
31. i^)y=^j-LM^ =
W ^ = 4^/o''5? = 4i^2^^ (V^^^"^)ir - ^ (n/^^
In each case, by symmetry |^ = ^ = 0.
(agrees with Prob. 2.2a).
47rfo y/z^+L^ (agrees with Ex. 2.1).
WE = -4{l7H^2.-l}z with Prob. 2.6).
If the right-hand charge in (a) is -q, then v = o], which, naively, suggests E = - VV = 0, in contradiction
with the answer to Prob. 2.2b. The point is that we only know V on the z axis, and from this we cannot
hope to compute -Sx = -f^ or J5j, = — ^. That was OK in part (a), because we knew from symmetry that
Ex = Ey = 0. But now E points in the x direction, so knowing V on the z axis is insufficient to determine E.
Problem 2.26
2iTa 1 , /T-,, ah
- I V ,.- -r ■<■' - V ^■<^'- -r -r= iiiv^ V/l2 + -^2 - V^/W + 2? - V2/1)
= _^ [ft+-^lnB/H-272/1-^2/1)-ft-y=lnB/i-V2/i)] - —^= ~ [lnB/H-V2/i) - lnB/i-V2/1)]
0 V2-V2; 4eo ^ 2 J - ln(l + V2).
.'. F(a) - F(b) = - In(l + V2)] .
32. CHAPTER 2. ELECTROSTATICS
Problem 2.27
Cut the cylinder into slabs, as shown in the figure, and
use result of Prob. 2.25c, with z -¥ x and a -> pdx:
J (ViZ2 + x2 - x) dx
2f^i [xVE"" +x^ + K' ln(x + ^R^ + x2) --^Ji; -L/2
i%|(-+*)/?='+(-+*)='-(-t)/?=+(-t [•+^+/?=+(-+^ri -4
='+fl=ln L^-*+/?=+(^-^rJ
{Note: -{z+ f)' + (z - f)' = -z^ - zL - ^ + ^2 _ ;jL + ^ ^ _2zL.)
U+| + ^2+(;,+ |J ,_L+^^2+(,_|Jj J
1 1
L-^R^.[z.l)^R^.(z-iy
Problem 2.28
Orient axes so P is on 2; axis.
_ ^ pg f Here p is constant, dr = r^ sin 9 drd
^^i^J* { ^ = Vz'^+T'^-2rzcos9.
^^■dro I Vz^+J-lrzcole 'Jo '^'f> = 27r.
lo v.^+r^'-Lcose'^^^^z (Vr2 + z2 _ 2rzcos0) 1^ = 5^ (Vr^ + z^ + 2rz - Vr^ + 22 _ 2rz)
'•-^'^^^ |r z) I 2/r ,ifr>z. J
33. Butp= ^, so V{z) = ^jly [r^ _ 4) = 5-2.^ C- ^) V{r] SttcoR V ^V
Problem 2.29
V^y = 4;^V2/(f )dr = ji^ //9(r')(V2|)dr (since p is a function of r', not r)
= ^fpin-^^SHr - r')] dr = -^p(r). / ___=^___
Problem 2.30.
(a) Ex. 2.4: Eabove = af^n; Ebeiow = "if^" (n always pointing up); Eabove - Ebeiow = ^n- /
Ex. 2.5: At each surface, J5 = 0 one side and E = f- other side, so AE — f^. /
Prob. 2.11: Eout = ^f = ^f; Esn = 0; so AE = ^f. /
(b) ■ L"'- j^ Outside: /E • da = E{27rs)l - j^Qenc = ^B7ri?)/ ^ E = ^f i = ^i (at surface).
= 0, so E = 0. .-. AE = -2^8. /
(c) Fout = S = ^ (at surface); T^? = ^^ ; so Kut = Kn- /
^ = -& = -^ (at surface); ^ = 0 ; so ^ - ^ = -^. /
Problem 2.31
.-. ^4=9^- 47reoa
(b) W^i = 0, W^2 = 5^^ {^); W,^^^ (;fe-^);^4 = (see(a)).
34. CHAPTER 2. ELECTROSTATICS
Problem 2,32
(a) ly = I JpVdT. Prom Prob. 2.21 (or Prob. 2.28): V = ^ (^R"^ - ^^ = ^^^ (z- ^^
-IpJ-J-T '^-^-=^4-mr&i^<
2^47reo2J?yo
5eo 5eo fTrii^ 47reo VS-R;
(b) ly = f jE^dr. Outside {r > R) E = ^^^r ; Inside {r < R) E = ^^-^rr.
1 Q
47reo 2 I V t-/ U ^^ 5 / |o J 47reo 2 R 5R) 47reo 5 iZ''
47reo 2
(c) W — ^ { jij VE • da + JyE'^dr}, where V is large enough to enclose all the charge, but otherwise
arbitrary. Let's use a sphere of radius a> R. Here V = 4^^-
4n
1 eof q' K , 4nq^ -m
' 2 D7reoJ o '^ D7reoJ 5iZ "^ (Anco)^
- J_^/I 4. J_ _ 1 + i = J_^g! ' 47reo 2la5J? a R) 47reo 5 i?
As o -> 00, the contribution from the surface integral f^^^fs) goes to zero, while the volume integral
(i^^fsdl - 1)) picks up the slack.
Problem 2.33
dW = dqV = dq{ J -, {q = charge on sphere of radius r).
47reo/ r
{q = total charge on sphere).
r^dr. dq = Anrdrp^j;^qdr^-
1 (qr'l(Zq , _ 1 Zq,
W=J-^-^rr^dr=-^^^^^(^'-]/
47reo R^ Jo 47reo -R^ 5 4neo5 RJ'
35. Problem 2.34
(a.)W = f J E'^ dr. E = ^^ (o < r < 6), zero elsewhere.
rb 1
Sttco :i-i)
(b) W, ■■ ^4.^^2 = 8^^, ^^ = j^^rir>a),E2 = j^^r{r>b). So
^1 • ^2 = D;?^) 1^. ('^ > *). and hence /Ej • E2 dr = - C;^) q^ /~ ^47rr2dr =
Problem 2.35
(b) y(o) =
-C^''^--lLi^o^)dr-i:iO)dr-J^^{^^)dr-f^iO)dr = ^^{l + ^-l)
(c) r^TTo] (the charge "drains off"); V{0) = - f^{0)dr - !^{^^^)dr - f^{0)dr = U- (| - ^)
obk m2.36
(a)
1 9a + ?6
4x0^'
(b) *'out - ~. 0 r, where r = vector fron
(c) ^o ~ 1 'T^a> ■'^6 ~ 7 2^6' where Fo (rt) is the vector from center of cavity a [b).
where Fo
1 cu / a M/i CO / 6 I
(d)[z^
(e) ffji changes (but not Ga or o-ft); Eoutside changes (but not Ea or Eft); force on qa and qb still zero.
Problem 2.37
Between the plates, E = 0; outside the plates E = a/ta = Q/eoA. So
p_£^p2_£o_Q^.
2 e2^2 - 2eoA2 ■
Problem 2.38
Inside, E = 0; outside, E = j^J^^f; so
F, = lf,da = j{^m^^§,)coseRHmeded<f>
i-A^f^-i:''^^^^osede = ^^{^f {'jsinH);/' = ^^{^f 32nR-^eo'
36. 34 CHAPTER 2. ELECTROSTATICS
Problem 2.39
Say the charge on the inner cylinder is Q, for a length L. The field is given by Gauss's law:
/E • da = J5 • 27rs • L — -j^Qenc = j-Q ^ E = ^^^ ^ j s. Potential difference between the cylinders is
m-V(a) = -/'E.,iI = -5^^'l* = - 2ntQL
As set up here, a is at the higher potential, so V = V'(a) - V{h) = ^^ ^ In (^).
C = ^ = YJhJ' ^° capacitance per unit length is 27reo l"(i)'
Problem 2.40
(a) W — (force) x (distance) = (pressure) x (area) x (distance)
(b) W — (energy per unit volume) x (decrease in volume) = (eo'x) (-^^)- Same as (a), confirming that the
energy lost is equal to the work done. ^^
Problem 2.41
From Prob. 2.4, the field at height z above the center of a square loop (side a) is
i
'Ai///y//y///////////////.
E=J: B ^^°^7,2 + si
47reo J. si) ,
I ^"T _^
Here X -¥ a^ (see figure), and we integrate over a from 0 to a:
'.iiiiii:""i"^ii^
1 r ada a^
E = 2az I . . Let u = —, so ada =
47reo Jo B + ^ ^ L2 , ^ 4
V' ^ A ) -^ ^2
= 47reo Jo (u + %= = ^ '- tan- z ^ z j
-1-4.. r' z'^)/2u + z^ ttco (:/^±Z]
= ^tan-M -^ -tan ^1) ?;
tan-^Vl + ^,-J
a -> 00 (infinite plane): E — ^ [tan ^@0) — f ] = ^ (f - f) = ^- /
z > a (point charge): Let f{x) = tan~^ VH-a; — f, and expand as a Taylor series:
37. Here /(O) = tan-^l) - f = f - f = 0; /'(x) = rR^|;^ = 2B^jy7TT^. ?0 /'(O) = i. so
Thus (since ^ = ^ ? 1), g <:. |^ (j^) = 3^^ = ^4r- /
Problem 2.42
? ^ ( I d f 2^^ 1 ^ /5sin0cos01
^{A-Bsm(j)).
Problem 2.43
Rrom Prob. 2.12, the field inside a uniformly charged sphere is: E = 4;f7"^r. So the force per unit volume
isf = pE = A^3) Da-t^ita)r = ^C;^) ""i ^"d the force in the z direction on dr is:
dF, = f,dT=j- D^) rcos^Cr^sin^drd^d^).
The total force on the "northern" hemisphere is:
3 / Q y fR' l^sin^gr B7r) = 3Q^
64neoRP''
Problem 2.44
Kenter47reo -da = / da = R-5{27tR^)R =2eo
= / J '!■ 47reo J 47reo
—-
sine dO,
Vpole= 1^J-J^'^^''^[,2 == n^ + R:' 2J?2cos6l = 2J?2(l-cos0).
y^^j ■ L. i da 27rR^ si
_ 47reo J?v^ 70 ^/^ -cos0 ~ 2V2eo BvT^
1 ai27rR'^) VI gingdg _ (xR
■^<'-°' "' .-. Fpole - Vcenter = g(^-'-
/2eo'
Problem 2.45
First let's determine the electric field inside and outside the sphere, using Gauss's law:
eo$E = eo^Ttr'^E = Q
= /.* = /(^)r= sin.*-d.<i* = 4.*|f3* = H'^, J'^ < ?|;
38. CHAPTER 2. ELECTROSTATICS
SoE^J^r^f{r<R); E=^f(r>iZ).
Method I:
'Hi^rii>^^i:>}-m^'^{-i):hm^-:
W = ^fpVdT (Eq. 2.43).
27rfc2 ( Ri ilf^ nk^R-r .
3eo 1 4 4 7 J 2 - 3eo V^V 7eo
Problem 2.46
E = -W =
,(^),...(:hil.^^^}. Ae-^'-(H-Ar)-
p = £o V- E = eoA {e-^^(l + Ar) V- (^) + ^ • V (e-^'-(l + Ar))}. But V- {^) = 47r(j3(r) (Eq. 1.99), and
e-^'-(H-ArM3(r) =<J3(r) (Eq. 1.88). Meanwhile,
V (e-^'-(l + Ar)) = r|r (e-^'-(l + Ar)) = f {-Ae-^'-(l + Ar) + e-^^} = f(-AVe--
So ^ ■ V (e-^'-(l + Ar)) - -^e"- p = eoA 47r<J3(r) A2
Q= IpdT = toA Ia-k fd^ir) dT - A^ f^—47rr^dr = eoA Utt - A247r / re-^''dr j .
But /o°° re-^''dr = ^,soQ = Att^oA (l- ^^ = | zero. |
Problem 2.47
(a) Potential of +A is V^ = ~2^^'^ (^)' where s+ is distance from A+ (Prob. 2.22).
Potential of —A is VL = +5^^" (^), where s_ is distance from A_.
39. (x,2/,^)
27reo V?+/J
Now s+ = y/iy -a)^ + z"^, and s_ - /(y + aJ +z^, so
jy + a)'
{y - aJ + z2
(b) Equipotentials are given by [^+°]5:]:^2 - e('*"^°^°/''^) =k^ constant. That is:
y2 + 2ay + a^ + z^ = A;(y2 - 2ay + o?+ z^) =;> y2(^ _ j) ^ ^2(^ _ 1) ^ ^2(^ _ 1) _ 2ay{k + 1) = 0, or
j/^ + 2^ 4- a2 _ 2^2/ [l^ j = 0. The equation for a circle, with center at (j/o, 0) and radius R, is
(j/ - 2/0)' + Z2 = /?2, or y2 + Z2 + (^2 _ JJ2) _ 2yy^ = Q.
Evidently the equipotentials are circles, with yo = a( |^ j and
.2 _ ,,2 _ d2 _. d2 _ ,,2 _ ?2 _ ?2 /'Mi'^ - o^ — ?2 (fc^+2fc+l-*;^+2fc-l) _ 2 4*
i? = ^^ ; or, in terms of Vq:
Problem 2.48
(a)V2y =:-f (Eq. 2.24), so
(b) qV = mv^
{c) dq - Ap dx ; ^ = ap^ = I Apv = 11 (constant). {Note: p, hence also /, is negative.)
40. 38 CHAPTER 2. ELECTROSTATICS
cPV
eoAy 2qV " dx^ pv~'/^ where /3
{Note: I is negative, so /3 is positive; q is positive.)
(e) Multiply by F' - ^ :
^'^ " ^^"'^'^ ^ Z"^'*^^' = /^/^"'^'^ ^ ^^'' = 2/3y'/2 + constant.
But F@) == V'{0) — 0 (cathode is at potential zero, and field at cathode is zero), so the constant is zero, and
V-2 ^ 4^^1/2 ^^ = 2y/^V'/* => V-'/UV = 2,/^dx;
/"y-i/4 ^ ^ 2v^ fdx ^ ^F^/" = 2y^x + constant.
But V{0) = 0, so this constant is also zero.
^/^. ^Vix)=(IM xV r Vix) = '4/3 ^ / 81J^m N
S2elA-^qJ
F(.)=FoQ) (see graph). Interms of Vq (instead of /):
Without space-charge, V would increase linearly: V{x) — Vq (^).
1 4 1 4eoFo
9(d2xJ/3 •
/2^VV^Q) '
(f) V{d) ^ Fo - i^^y^'d^^' => Vo' = ^^,I';l' = '-I^Vo^:
I = 1^^V'V2 ^ ;^y^3/2^ ^^^^^ _ 4eoA /2g
Problem 2.49
(a) E = 1 47reo I${^-iy -^/^dr.
(b) I Yes. I The field of a point charge at the origin is radial and symmetric, so V X E = 0, and hence this is also
true (by superposition) for any collection of charges.
41. Now /;^e ^/^dr = —^-^ /^~?—'^'" ^— exactly right to kill the last term. Therefore
47reo I >" Ir J I 47reo r
■^•^=4^'?0n)-^'***# =
(e) Does the result in (d) hold for a nonspherical surface? Suppose we
make a "dent" in the sphere—pushing a patch (area B? sin 9
from radius R out to radius S (area S^ sin 9 d9 d0).
{R^ sin 9 d9d(f>)
4A /^ •r=^sin0 ,drd9d(f)^ A^ 47reo
A^ 47reo Jr
■'/^dr
47reo
So the change in p- JV dr exactly compensates for the change in ^E • da, and we get j-q for the total using
the dented sphere, just as we did with the perfect sphere. Any closed surface can be built up by successive
distortions of the sphere, so the result holds for all shapes. By superposition, if there are many charges inside,
the total is j-Qenc- Charges outside do not contribute (in the argument above we found that C^" for this
volume ^E ■ da + p- JV dr = 0—and, again, the sum is not changed by distortions of the surface, as long as q
remains outside). So the new "Gauss's Law" holds for any charge configuration.
(f) In differential form, "Gauss's law" reads: V-E + - or, putting it all in terms of E:
V'E - Y2 / E • dl = —p. Since E = -W, this also yields "Poisson's equation": -V^F + --^V
42. CHAPTER 2. ELECTROSTATICS
Problem 2.50
/9 = eo V- E = o^{ax) = |eoo| (constant everywhere).
The same charge density would be compatible (as far as Gauss's law is concerned) with E = ayy, for
instance, or E =; (|)r, etc. The point is that Gauss's law (and VxE = 0) by themselves do not determine
the field—like any differential equations, they must be supplemented by appropriate boundary conditions.
Ordinarily, these are so "obvious" that we impose them almost subconsciously ("J5 must go to zero far from
the source charges")—or we appeal to symmetry to resolve the ambiguity ("the field must be the same—in
magnitude—on both sides of an infinite plane of surface charge"). But in this case there are no natural
boundary conditions, and no persuasive symmetry conditions, to fix the answer. The question "What is the
electric field produced by a uniform charge density filling all of space?" is simply ill-posed: it does not give
us sufficient information to determine the answer. (Incidentally, it won't help to appeal to Coulomb's law
(E = jJ^ fp^dr)—the integral is hopelessly indefinite, in this case.)
Problem 2.51
Compare Newton's law of universal gravitation to Coulomb's law:
miTn2 __ 1 9192 J.
t = —G-—5—^r t = 5-r.
> G and q -¥ m. The gravitational energy of a sphere (translating Prob. 2.32) is therefore Evidently j^
Now, G - 6.67 X 10-1^ N mVkg^, and for the sun M = 1.99 x 10^° kg, R = 6.96 x 10^ m, so the sun's
gravitational energy sW = 2.28 x 10*^ J. At the current rate, this energy would be dissipated in a time
'' P '' < lO^'* s = 11.87 X 10'^ years. I
43. Problem 2.52
First ehrainate z, using the formula for the ellipsoid:
^(a;,y) = ^ 47ra6 yc2(a;2/a4) + c'^{y^/b^) + 1 - (xVa2) - {y^/b"^)'
Now (for parts (a) and (b)) set c ->■ 0, "squashing" the ellipsoid down to an ellipse in the xy plane:
''^''' ^^ li^ab ^-{xlaY-{ylbY
(I multiplied by 2 to count both surfaces.)
(a) For the circular disk, set a = 6 = iZ and let r = yjx^2nR^R2-:,^-
^
+ y^, . Q 1
(b) For the ribbon, let Qjb = A, and then take the limit b -> c ( )- ^ 1
(c) Let b = c, r = ^/y"^ + z'^, making an ellipsoid of revolution:
a2+c2-l' ^'^^''- 4na(P^xya^ + ryc*'
The charge on a ring of width dx is
J = a2Trrds, where ds = ydx"^ + dr^ — dxy/l + (dr/dx)^.
dr <?x I -4-2 -2
= dxJl + ^ = dx-y/xy^^Try^. Thus
(Constant!)
A(x) = dx 47rac2 ^x^ja^ + r2/c'* r s/^J^^H^ =
44. Chapter 3
Special Techniques
Problem 3.1
The argument is exactly the same as in Sect. 3.1.4, except that since z < R, y/z^ + R^ — 2zR = {R — z),
instead of {z - R). Hence Vkve = -r~7ryi [i^ + R)-{R- z)]
47reo 2zR If there is more than one charge 1 g 47reo R
inside the sphere, the average potential due to interior charges is47reo R and the average due to exterior
—^— ^^|j^,
charges is Fcenter, so Fave = Vcenter + ^f^- ^
Problem 3.2
A stable equilibrium is a point of local minimum in the potential energy. Here the potential energy is qV.
But we know that Laplace's equation allows no local minima for V. What looks like a minimum, in the figure,
must in fact be a saddle point, and the box "leaks" through the center of each face.
Problem 3.3
Laplace's equation in spherical coordinates, for V dependent only on r, reads:
dV c
= c (constant) => —r- = -^ =>
' dr r^ r
Example: potential of a uniformly charged sphere,
In cylindrical coordinates: sdsVdV J ? dy1 dV0 c ds ds F ^ cln s + k.
o Id/ = ds s—r- = J ^ 1 s
V --7-
Example: potential of a long wire.
Problem 3.4
Same as proof of second uniqueness theorem, up to the equation /^ V3E3 • da = -f^{E3)^dT. But on
each surface, either V3 = 0 (if V is specified on the surface), or else Esj^ = 0 (if ^ = -E± is specified). So
JyiEs)^ = 0, and hence E2 = Ej. qed
Problem 3.5
Putting U = T = V3 into Green's identity:
f [V3VVs + Ws • Wa] dT= i Vg VVs • da. But V^Vs = VV, - VVz =
So / E^dr = — f V2E3 • da, and the rest is the same as before.
45. Problem 3.6
Place image charges +2q a.t z —d and —q&tz — -3d. Total force on --q is
g [ -2g 2g _-£_■ ' 47reocP
' 47reo [BdJ ^ DdJ FdJ 47reo V72(i2y ■
(a) FVom Fig. 3.13: i = -y/r^ + a2 - 2ra cos 0; V = Vr^ + &2 _ 2r& cos 0. Therefore:
g'
(Eq. 3.15), while b = — (Eq. 3.16).
(f)/'-' + ^-2^f cosfl y(f)' + iZ2-2racos0
- 2ra cos 0 y/R^ + (ra/R)^-2rao
Clearly, when r = iJ, V -^ 0.
(b) a = -eof^ (Eq. 2.49). In this case, |^ = I7 at the point r = R. Therefore,
(T(e) = -eo D^) {-^('•^ + "^ - 2mcos0)-3/2B^ _ 2acos0)
+ i (ij2 + (ro/iZJ - 2racos0)"^^' (^2r - 2a cos0^ 11
= —^S.-{R''+a''-2Racose)-^^R-acose) + {R^ + a''-2Racose)~^^'' ( ^)}
= ^(i?2 + a^ - 2Racose)-^l'^ r - acosd - ^ + acos^l
-(ij2_a2)(^2_j.^2_2ijacos0;
induced = fada= -^{R^ - a') [(R^ + a' - 2Racos9)-^l''R'' smOd,
2a (a2 - ij2) ViZ2 + a2 + 2iZa V-R^ + a2 - 2iZaJ
But a > J? (else g would be inside), so /j?2 + a2 - 2jRa = a-R.
^y -?'' [(^ - (?^] - ^ '<° - ^' -'°+?"=s'-^^'
I 9fi _ ?, I
46. CHAPTER 3. SPECIAL TECHNIQUES
(c) The force on q, due to the sphere, is the same as the force of the image charge q', to wit:
1 qq' _ 1 f R 2 1 _ 1 q'^Ra
47reo (o - b)^ 47reo (a - i?V?)' 47reo (a^ - R-^)-
To bring q in from infinity to o, then, we do work
q'R
4neoJ (a2-iZ2J" 4^eo [ 2 E^ - i?2) 47reo 2(a2 - 7^2)"
Problem 3.8
Place a second image charge, q", at the center of the sphere;
this will not alter the fact that the sphere is an eqmpotential,
1 g".
Aireo R ' but merely increase that potential from zero to Vo
q" — 47reoVoi? at center of sphere.
For a neutral sphere, q' + q" = 0.
1
AntQ^ o? ' {a-by ^J_9g^ (_47reo V^ "^ " (a-6J J
{_ "^ ~ -by) 47r6o
F =
qq' b{2a - b) _ qj-Rq/a) {R^/a){2a - R^/a)
47reoa2(a-6J ~ 47reo a^ia-R'^laf
q^ f rV {2a''- R^)
4neo a) (a2 - R-^y '
(Drop the minus sign, because the problem asks for the force of attraction.)
Problem 3.9
(a) Image problem: A above, -A below. Potential was found in Prob. 2.47:
2A , , , , A
n?..) = 5^1n(.-K) = 3^1n(.iAl) {y,z)
-In 47reo[y^ ++ {z-d)^j
ly^ jz + dy] ^ /s-
{h)a-- dn' dn dz
^<i-A I y^ + {z + d)^<^)~ +2 {z-d)^ '] 1^^,
47reo
2 l/^^X2^(^ + y^ l/ ^2(z-d)|
Ad
2A f d -d
47rU2 + d2 y2 + ^J = 7r(j/2 + d2)-
Check: Total charge induced on a strip of width / parallel to the y axis:
qnd
_ IXd FTT / Try
7t J y^ + cP TT [d d. ~~~V [2 ~ V 2I
-XI. Therefore Ajnd = -A, as it should t
47. Problem 3.10
The image configuration is as shown.
9. ?■ .9
V{x,y) -- 1 i 1 , 1
47reo ( v^(xaJ- +aJiy-B/- 6J+ +z2^2^{x - aJ+ a)^(y+ {y 6Jb)^ ^2 z^J ]
^/ix +
+ 6J ^(^j; + + + + + 9- - •-?
For this to work, I Q must be and integer divisor of 180°. Thus 180°, ' , 45°, etc., are OK, but no
others. It works for 45°, say, with the charges as shown.
(Note the strategy: to make the x axis an equipotential (F — 0), f B) y 4?°
you place the image charge A) in the reflection point. To make the
45° line an equipotential, you place charge B) at the image point.
-.
/^ '•+ ^
But that screws up the x axis, so you must now insert image C) to +*. V •-(!)
balance B). Moreover, to make the 45° line V — ^ you also need D),
to balance A). But now, to restore the x axis to F = 0 you need E) E C) ^
to balance D), and so on.
The reason this doesn't work for arbitrary angles is that you are
eventually forced to pla.ce an image charge within the original region of
interest, and that's not allowed—all images must go outside the
region, or you're no longer dealing with the same problem at all.)
Problem 3.11
Prom Prob. 2.47 (with j/o - jx + ay+y^' , where a^ - yg"^ - Er ^
47reo "' L(^~ ^y +2/^.
■ ocschB7reoVo/A) =(dividing) ^^= R A /,
"'''''!:}''''fiS =i]^ J? J ^ 4 cosh f^) -'id/RY
m Problem 3.12
oo 2 ?
Vix,y) = Y^C?e-"'^='/''sininny/a) (Eq. 3.30), where <^n - - / Vb(y)sm{mry/a)dy (Eq. 3.34).
I this case Voiy) = _y^^ forf o/2< <^Z2/< <a/2 J1 Therefore,
uvj/; -j^
( +^'' ? a
n 2, (T. / / ^J ? • / / N^ 1 2^0/ cos{mry/a)r^^ , cos(n7r2//a) I" 1 C? = -Vo< sm{niTy/a)dy - / sm{mry a)dy } =--< / .[ + ^,[ >
^{-cos(^).cos@, + c?,??-cos(f)} = ^{l + (-ir-2co?(f)}.
48. CHAPTER 3. SPECIAL TECHNIQUES
The term in curly brackets is:
n = l l-l-2cosGr/2) = 0,
n = 2
n = Z -, _■, _<y (f> /n'_ 0 } etc. (Zero if n is odd or divisible by 4, otherwise 4.)
1 + 1-2 cosB7r) = 0,
r - f SFo/nTT, n = 2,6,10,14,etc. (in general, 4j + 2, for j = 0,1,2,...),
" ~" 1 0, otherwise.
v(x,y) = ^ y ^~"'^^^°^i"("^y/°) 8Fo ^ e-(''^+^)'^'''/°sin[Dj2)+ 2)ny/a]
Dj +
Problem 3.13
V{x,y) = ^ ^ ^e-""^/''sin(n7ry/a) (Eq. 3.36); ^ =-eo|^ (Eq. 2.4!
^B/) ~^° a^ l~^n^ ""''/"sin(n7r2//a)I = -cq "^Z^-l-—)e ""''/"sin(n7ry/a)
y^ sin(n7rj//a).
Or, using the closed form 3.37:
,w , 2Fo^ _i / sinGry/a) 2Fo 1 / -sinGrj//a) tt ^, , ,| V{x,y) = tan M . ' ' ' ] ^ a =- q .in2f^?/?^ . ^2/ , [ -coshGra:/o)
_ 2eoFo sinGrj//o) coshGra;/o) I
a sin2Gry/a) + sinh2Gra;/a) l^^^ a2eoK) 1
sm{7ry/a)'
Summation of series Eq. 3.36
Vix,y) = —I, where / = ^ -e-?"^/''sin(n7ry/a).
Now sinio = Im (e**"), s
where Z = g-'^C^-^^')/". Now
49. where Re*^ - 7^. Therefore
/ = Im-inR + i9) = ^e. But f^^ =^ , ^= , ■ ^ , ^
1 + e-'^^/" (e^'^^^/" - e-'-'^y/") - e-^^^/" _ 1 + 2ze-'^'/''sinGr^/Q) - e-^^^/°
|l_e-'r(:t-tJ/)/a|2 ~ 11 _ e-,r(x-tj,)/a|2
2e~'^^''"sinGr2//o) _ 2sinGr2//a) _ sm{ny/a)
rx/a _ g-TTx/o sinhGrx/a)'
/=i.an-r-'°<r?/f'; , and F(a;, y) _i
_i / smGry/o , Lr, X 2K), =
tan . ■ , :
f sin{iTy a)
tan . -V , .
Problem 3.14
(a) -7-^ + ——- = 0, with boundary conditions
OX-' oy^
(i) F(a:,0) = 0,
(ii) V{x,a)=Q,
(iii) F@,y) = 0,
(iv) FF,y) = Fo(y). J ;j-
As in Ex. 3.4, separation of variables yields
V{x, y) = (Ae*^ + 5e-*^) (C sin ky + D cos A;y).
Here (i)::^ D = 0, (iii)=i' B = -A, (ii)=^ fca is an integer multiple of tt:
V{x,y) = AC (e"'^^/" - 6-""="/") sin(n7ry/a) = B^C) sinh(n7ra;/a) sin(n7ry/a).
But BAC) is a constant, and the most general linear combination of separable solutions consistent with (i),
(ii). (iii) is
V{x,y) — ^C?sinh(n7ra;/a)sin(n7rj//a).
It remains to determine the coefficients C? so as to fit boundary condition (iv):
^C?sinh(n7r6/o)sin(n7r2//a) — Va{y). Fourier's tricky C?sinh(n7r6/a) = - Vo{y)sm{nny/a)dy.
0
Therefore
Cn = —r-TT—TT-T / Vo{y)sm{mry/a)dy.
50. 5 CHAPTERS. SPECIAL TECHNIQUES
,. , ^ 2 rr f ■ , I j 2Fo f 0, if n is even, 1
asmh{nnb/a) J asmh{nnb/a) { j^, if n is odd. J
sinh(n7ra;/a) sm{nny/a)
n?,?) = ^^ E = 1,3,5,.
nsinh(n7r6/a) '
Problem 3.15
Same format as Ex. 3.5, only the boundary conditions are:
[) V = 0 when a; = 0, "j li) V = 0 when x = a,
iii) V = 0 when y = 0,
) F — 0 when y = a,
v) F = 0 when z = 0,
vi) V = Vo when 2 = a.
This time we want sinusoidal functions in x and y, exponential in z:
Xix) = ^sin(fca;) + 5cos(A;a;), Y{y) = Csin{ly) + Dcos{ly), Z{z) = Ee"^^"^^ + Ge-^/*'+^^
(i)^ B = 0; (ii)=> k = nn/a; (iii)^ D = 0; (iv)^ / = mn/a] (v)=^ E + G = 0. Therefore
Z{z) = 2Esmhi7ry/n^+m^z/a).
Putting this all together, and combining the constants, we have:
V{x,y,z) = V^ "S"^ C?,m sin(n7ra;/a) sin(m7rj//a) sinhGrvn^ +m'^z/a).
n=l m=l
It remains to evaluate the constants C?,m. by imposing boundary condition (vi):
Vo = ^2^2 r^?."'sinhGrvV+m^) sin(n7ra;/a)sm{mny/a).
According to Eqs. 3.50 and 3.51:
, V /'2^ } } f ^' if n or m is even, "j
Cn,m sinh (ny/ri^ + m^ 1 = I - ) Vq / sin{n7rx/a) sm{m7ry/a) dx dy = < 16Vb -r u i, jj f
^ '^ 0 0 ^ TT^nm' ^ ■ J
F(x,j/,2) = —TT- V-> 1sm(n7ra;/a)sm(m7rj//a) i——. ?
, 16Fo V- > w / ^ w / ,sinhGrVn2+m22/ ■■M.
^2 ?=i^5 . ,?=f^5_... ""^ / y V ?/ y sinh (ttVu^ + m^]
51. ^ , ^ lrf^/9 ,3 Id^ 2? Id^ ., .2
= li [(^' - 1) (^^' -!)]=! f2x Ex2 _ 1) + (^2 _ 1) 10^]
5 3 3
= iEx3-x + 5x3-5x)-J(l0x3-6x)- -X-* - -X. 2 2
We need to show that P3(cos0) satisfies
Id/. ?dP -1A + 1)P, with / = 3,
where P3(cos0) = ^cosO E cos^ 0 -
— - - ^ 1 0 E cos2 0 - 3) + cos 0A0 cos ${- sin 0)] = -1 sin $ E cos^ 0-3+10 cos^ 6)
d^
de r- sin
2
= --sin0Ecos20-l).
fsin0-^J = -~[sin2 0Ecos2 0-l)] =-^ [2sin0cos0 Ecos2 0-l) + sin2 0(-lOcos0sin0)]
= -3sin0cos0[5cos20-l-5sin20] .
1 d ( . ?dP
sine d9 e^j = -3cos0[5cos2-l-5(l-cos2 0)] = -3cos0(lOcos2 0-6)
= -3-4-icos0Ecos20-3) =-/(/ + l)P3. qed
|Pi(x)P3(x)dx = |(x)^ Ex3 -3x) ^^ ^ 1 (x'-x')'_^ = i(l- 1 + 1 - 1) = 0. V
Problem 3.17 '^
(a) Inside: F(r,0) = JZ ^jr'Pj(cos0) (Eq. 3.66) where
Ai = ^^^|j^ /"v'o@)P,(cos0) sin0d0 (Eq. 3.69).
In this case Vb@) = Vb comes outside the integral, so
. _ B/ + l)Fo /Pj(cos0)sin
52. 50 CHAPTERS. SPECIAL TECHNIQUES
But Po(cos0) = 1, so the integral can be written
0
/Poicos9)Piicose)sin^d^ = I 2' Jf J f q } ^^^- ^•^^)-
Therefore
r 0, if / ^ 01
^~ Vo, if / = 0 / •
Plugging this into the general form:
y (r, e) = Ao r°Po(cos 6) = [^
The potential is constant throughout the sphere.
Outside: Vir,0) = ^ ~Pi{cose) (Eq. 3.72), where
Bi = ^^^-^R'+^ fvo{e)Piicose)smede (Eq. 3.73).
0
B1 + 1)
2
Therefore Vir,e) = Vo- (i.e. equals Vb at r = R, then falls off like -).
(i.e. equals
(b)
Yl Ajr'P, (cos e), for r < P (Eq. 3.78)
j=o
F(r,0) = ^-^P,(cos0), forr>P (Eq. 3.79)
1=0 '"
where
Bi = p2i+i^j (Eq. 3.81)
and
^' = -^r—^izi Icro{S)Pi{cose)smedd (Eq. 3.84)
0
' R<Jo
for r
V{t e) = PVqI >.| forr
53. Note: in terms of the total charge Q = AnR'^ao,
v{r,e) =
Fo@) = A;cosC0) = k [4cos^e-Zcose]=k[aPs(cos0) + /3Pi(cos0)].
(I know that any 3'''^ order polynomial can be expressed as a linear combination of the first four Legendre
polynomials; in this case, since the polynomial is odd, I only need Pj and P3.)
4cos^e-Zcose = a - Ecos^0 - 3cos0) +/!3cos0 = -^cos^0+ f/3 - -a) cos0,
3 8
-3 = /3-^a = '2'5 ' 125 _
"
Therefore
Now
Y^ Air'Pi (cos e), iorr<R (Eq. 3.66)
1=0
vir,e) =
^^P,(cos0), forr>P (Eq. 3.71)
Ai = ^^^^^ fvo{e)Pi{cose)smede (Eq. 3.69)
0
= ^^^J^ I 1 ^ / ^^ ^^°^ ^^^' ^^°^ 0)smedS-Z I Pi (cos 0)P (cos 0) sin 0 d0 I
k {21 +1) f 2 o_A_x 1 ^ 1 fR^ -^^ 1
' -3fc/5-R, if/==3l1 J, ^^ otherwise).
8A;/5P^ if / zero
V{r,e) = -||rPi(cos0) + ^r'p,{co^e) -- 8(^)'p3(cos0)-3(^)Pi(cos0)
8 (■^)^ ^ [5cos3 0 - 3COS0] _ 3 f^Vj cosflj ^ F(r,0) = ^^ cosfl |4 (^)^ [Scos^ 0 - 3] - 3!
54. 52 CHAPTERS. SPECIAL TECHNIQUES
(for r < R). Meanwhile, Bi = AiR^^+^ (Eq. 3.81—this follows from the continuity of V at R). Therefore
^' = -3fciiv5, if; = l/ (==ero otherwise).
V(r,e) = -^lpi(cos0) + §^lp3(cos0) = ■ij)' 8 - P3(cos0)-3 - Pi(cos0)
Vir,e) = I (^)'cos0 L (^y [5cos2 0-3] -3!
(for r>R). Finally, using Eq. 3.83:
a{e) = eo X^BZ + l)A,iZ'-iPj(cos0) = eo [3AiPi + TylsiJ^Ps]
[-9Pi(cos0) + 56P3(cos0)]
^ [-9COS0 + y Ecos^ 0 - 3COS0)] = ^ cos0[-9 + 28 • Scos^ 0-28-3]
- cos 61 [140 cos^ 61-93].
Problem 3.19
Use Eq. 3.83: a{e) = eo ^BZ+l)^jiJ'~^P(cos 61). But Eq. 3.69 says: Ai = ?^^ f Voie)Pi{cos0) sin0A9.
1=0 0
Putting them together:
aie) = -^Yli2l + lfCiPiicose), with Ci = fvoie)Pi{cose)sinede. qed
1=0 0
Problem 3.20
Set y = 0 on the equatorial plane, far from the sphere. Then the potential is the same as Ex. 3.8 plus the
potential of a uniformly charged spherical shell:
Vii ,e) = -Eo(r-^)cose+-^^.
r^ J 47reo r
55. (a) V{r,e) = f;-|Lp,(cos0) (r > R), so F(r,0) = Y^-^m) = £ 4t = |- [V^^TW - r] .
1=0 1=0 1=0 °
Since r > iZ in this region, s/r'^ + i?2 = rx/l + (i?/rJ = r [iH- ^{R/rf - ^{R/rf + .. .1, so
'r'+i 2eo''[ 2r2 8 r" ^
Comparing like powers of r, I see that Bo = -;—, Bi =0, B2 = -7^—,.... Therefore
4eo loeo
[ !
aR""
•
V{r e) =
460
I -S-*X)S0) + ...
[ (for r>R).
=
4eor
-
-Kf)^ -,....],
Ccos2 0-
(b) Vir,e) -"^AyPiicose) (r < R). In the northern hemispere, 0 < 0 < 7r/2,
j=o
F(r,0) = f;^,r' = ^ [A/^^^TR^-rl .
Since r < i? in this region, /r^ + R^ = Ry/T+JrJW = J? [1 + {rlRf - ^{t/RY + ...]. Therefore
Comparing like powers: Aq = -—R, Ai = --—, A2 = -—=;,... , so
2eo 2eo 2eoii
V{r,e) = ^[iZ-rPi(cos0) + ^P2(cos0)+ ...], (for r < R, northern hemisphere).
oP [ 260 I
In the southern hemisphere we'll have to go for 0 = tt, using Pj(—1) = (-!)'•
y(r,^) =f:(-l)%r' = ^ [./^^TW-r] .
56. 54 CHAPTERS. SPECIAL TECHNIQUES
(I put an overbar on Ai to distinguish it from the northern Ai). The only difference is the sign of 'Ai:
'Ai = +(o-/2eo), lo = Ao, A^ = A-i. So:
vir,e)
^ 2^[^ + '--Pi(cos0) + ^r2P2(cos0) + ...], (for r < R, southern hemisphere).
= gh(^)-^-i(sr(^-^^-)-4
Problem 3.22
Y^Air'Piicosd), (r < R) (Eq. 3.78),
Vir,0) =
Yl -^-Pi(cos0), (r > R) (Eq. 3.7{ I. 1=0
where Bi = AjiZ^'+i (Eq. 3.81) and
Ai = -^^^^zT f(^oiO)Pi{cose)sinede (Eq. 3.84)
0
= p|_i o"o < Piicose)smede- Pi{cos0) sined9 (let a; = cos0)
— nPiix)dx-JPiix)dx.
2eoR^-
Now Pi{—x) = (-l)'Pj(a;), since Pi{x) is even, for even /, and odd, for odd /. Therefore
0 0 1
j Pi{x)dx = jPi{-x)d{-x) = {-!)' j Pi{x)dx,
if / is even
^' = 2iS^t^-(-i)']/'''^^^'^H T^l^d^)^^^ if f I is odd
57. So Ao = A2 = Ai = Ae = 0, and all we need are Ai, A3, and ^5.
r r x2p 1
0 0 "
/P3(.,.. = i/p.-3.,.= iD-3f^)[.lg-2)=-l.
0 0
/ P5 (x) dx = ^f F3x5 - 70x3 ^ 15^) ^^ ^ 1 /g3^ _ 70^ + l5^^ I
,2 2 27 16'
I- Therefore
-'^=SG)=-^-=5^D)'-^--3?(^)-
^-^^G)=--^^B)^--^1i^)--
g [f.(cos.) - {Ly P3(cos.) + 1 {Ly p,^(eos.) + . .] , (. < i ), ig Ufcos^) - (f) VsCcos^) + 1 (f) VsCcos^) + . .1 , (r > P).
Look for solutions of the form V{s,(p) = 5(s)$(</i):
1$A /^s^^ Ic^ -
s ds ds J s^ (i02
Multiply by s^ and divide by V = 5$:
5 ds V''dsJ'*'$d
Since the first term involves s only, and the second cp only, ea is a constant:
the second (p only, each
d f dS ^ 1 d^$ ^
d;(^d7J=^- ¥d0^ = ^- -^*^^
58. 56 CHAPTERS. SPECIAL TECHNIQUES
Now 6*2 must be negative (else we get exponentials for $, which do not return to their original value—as
geometrically they must— when 0 is increased by 27r).
C2 - -k^. Then —-^ - -k'^i =^ $ = Acosk(j) +Bsinkcp.
Moreover, since #(</> + 2n) = $(</>), k must be an integer: fc = 0,1,2,3,... (negative integers are just repeats,
but A: = 0 must be included, since $ = A (a constant) is OK).
s-r I s-T- 1 = k^S can be solved by 5 = s**, provided n is chosen right:
as as J
s-r- (sns"~^)as (s") = n^ss"'~^ = ri^s" — k^S ^n — ±k.
as
= ns-r-
Evidently the general solution is S{s) — Cs^ + Ds~^, unless A: = 0, in which case we have only one solution
to a second-order equation—namely, S — constant. So we must treat k = 0 separately. One solution is a
constant—but what's the other? Go back to the differential equation for 5, and put in fc = 0:
So the second solution in this case is In s. [How about $? That too reduces to a single solution, ^ = A,'m the
case k = 0. What's the second solution here? Well, putting k = 0 into the $ equation:
-—T -0^ -rr - constant - B ^ ^ - BA + A.
d(j)^ acp
But a term of the form B(f> is unacceptable, since it does not return to its initial value when 0 is augmented
by 27r.] Conclusion: The general solution with cylindrical symmetry is
V{s, (j)) = oo + 60 In s + ^ [s* (oft cos kcj) + bk sin k(j)) + s * (cfc cos k(j) + dk sin A;^)].
Yes: the potential of a line charge goes like In s, which is included.
Problem 3.24
Picking F = 0 on the yz plane, with Eq in the x direction, we have (Eq. 3.74):
(i) ^^ = 0, when s = R,
(ii) V -> -Eqx = s cos (j>, for s'3> R.
Evidently a^ = bo — bk — dk — Q, and ak—Ck—G except for A; — 1:
y{s,4>) = (oi? + —)COS(f).
(i)=> ci = -oii?^; (ii)->- ai — -Eq. Therefore
V{s,<j>) = V{s,,f>)^-Eos
0''] COS(j).
59. R-"
ar = - o-^ =-eo-Eo f-^ - 1 ] cos0| = [ 2eoE'o cos0
Problem 3.25
Inside: F(s, 0) = Qq + y^s* (at cosfc0 + 6fc sin A;0). (In this region Ins and s~* are no good—they blow
k=l
up at s = 0.)
Outside: V{s, 0) = Oq + ^ -j^ (cft cos fc0 + dk sin fc0). (Here In s and s'' are no good at s -> oo).
(Eq. 2.3
a = -eo ' ' ds ^
Thus
a sin 50 = —eo Yj i — ^, (cfc cos fc0 + d^ sin fc0) — kR^ ' (ofc cos fc0 + bk sin fc0) >
Evidently Ofc = Cft = 0; 6fc = dfc = 0 except A; = 5; a = 5eo ( 'Ee^s + ^*h 1 Also, V is continuous at s = iJ:
1
V(s,0) _ gsin50 f 1 i^Vs^ for s < R, _
lOeo
s^/J?'*, ioTS>R. '
Problem 3.26
Monopole term:
Q= I pdT=zkR I -2(J?-2r)sin0 r"^sin6drded(f>.
K But the r integral is
R
[{R - 2r) dr = {Rr - r^) ^ = R^-R'^=0. So Q = 0.
0
IrcosOpdr-kR Mrcos^) —{R-2r)smer'^sm6drded>
i' But the 6 integral is
Lm^ecosede='^ =i(o-o) = o.
0
So the dipole contribution is likewise zero,
wise zero.
Quadrupole term:
/r^ (^cos'^e-^^pdT=^kR f fr''[Z CDs'" e-1) f ^ (i? - 2r) sin ^l r^sin^drd