Front cover image for Vector Analysis and Cartesian Tensors

Vector Analysis and Cartesian Tensors

Vector Analysis and Cartesian Tensors, Second Edition focuses on the processes, methodologies, and approaches involved in vector analysis and Cartesian tensors, including volume integrals, coordinates, curves, and vector functions. The publication first elaborates on rectangular Cartesian coordinates and rotation of axes, scalar and vector algebra, and differential geometry of curves. Discussions focus on differentiation rules, vector functions and their geometrical representation, scalar and vector products, multiplication of a vector by a scalar, and angles between lines through the
eBook, English, 2015
Elsevier Science, Kent, 2015
1 online resource (271 pages)
9781483260709, 1483260704
1041861420
Front Cover; Vector Analysis and Cartesian Tensors; Copyright Page; Table of Contents; Dedication; Preface; Chapter 1. Rectangular Cartesian Coordinates and Rotation of Axes; 1.1 Rectangular cartesian coordinates; 1.2 Direction cosines and direction ratios; 1.3 Angles between lines through the origin; 1.4 The orthogonal projection of one line on another; 1.5 Rotation of axes; 1.6 The summation convention and its use; 1.7 Invariance with respect to a rotation of the axes; 1.8 Matrix notation; Chapter 2. Scalar and Vector Algebra; 2.1 Scalars; 2.2 Vectors: basic notions. 2.3 Multiplication of a vector by a scalar2.4 Addition and subtraction of vectors; 2.5 The unit vectors i, j, k; 2.6 Scalar products; 2.7 Vector products; 2.8 The triple scalar product; 2.9 The triple vector product; 2.10 Products of four vectors; 2.11 Bound vectors; Chapter 3. Vector Functions of a Real Variable. Differential Geometry of Curves; 3.1 Vector functions and their geometrical representation; 3.2 Differentiation of vectors; 3.3 Differentiation rules; 3.4 The tangent to a curve. Smooth, piecewise smooth, and simple curves; 3.5 Arc length; 3.6 Curvature and torsion. 3.7 Applications in kinematicsChapter 4. Scalar and Vector Fields; 4.1 Regions; 4.2 Functions of several variables; 4.3 Definitions of scalar and vector fields; 4.4 Gradient of a scalar field; 4.5 Properties of gradient; 4.6 The divergence and curl of a vector field; 4.7 The del-operator; 4.8 Scalar invariant operators; 4.9 Useful identities; 4.10 Cylindrical and spherical polar coordinates; 4.11 General orthogonal curvilinear coordinates; 4.12 Vector components in orthogonal curvilinear coordinates; 4.13 Expressions for grad ], div F, curl F, and 2 in orthogonal curvilinear coordinates. 4.14 Vector analysis in n-dimensional spaceChapter 5. Line, Surface, and Volume Integrals; 5.1 Line integral of a scalar field; 5.2 Line integrals of a vector field; 5.3 Repeated integrals; 5.4 Double and triple integrals; 5.5 Surfaces; 5.6 Surface integrals; 5.7 Volume integrals; Chapter 6. Integral Theorems; 6.1 Introduction; 6.2 The Divergence Theorem (Gauss's theorem); 6.3 Green's theorems; 6.4 Stokes's theorem; 6.5 Limit definitions of div F and curl F; 6.6 Geometrical and physical significance of divergence and curl; Chapter 7. Applications in Potential Theory; 7.1 Connectivity. 7.2 The scalar potential7.3 The vector potential; 7.4 Poisson's equation; 7.5 Poisson's equation in vector form; 7.6 Helmholtz's theorem; 7.7 Solid angles; Chapter 8. Cartesian Tensors; 8.1 Introduction; 8.2 Cartesian tensors: basic algebra; 8.3 Isotropic tensors; 8.4 Tensor fields; 8.5 The divergence theorem in tensor field theory; Chapter 9. Representation Theorems for Isotropic Tensor Functions; 9.1 Introduction; 9.2 Diagonalization of second order symmetrical tensors; 9.3 Invariants of second order symmetrical tensors; 9.4 Representation of isotropic vector functions
9.5 Isotropic scalar functions of symmetrical second order tensors