Front cover image for Advanced Engineering Mathematics

Advanced Engineering Mathematics

Advanced Engineering Mathematics provides comprehensive and contemporary coverage of key mathematical ideas, techniques, and their widespread applications, for students majoring in engineering, computer science, mathematics and physics. Using a wide range of examples throughout the book, Jeffrey illustrates how to construct simple mathematical models, how to apply mathematical reasoning to select a particular solution from a range of possible alternatives, and how to determine which solution has physical significance. Jeffrey includes material that is not found in works of a similar nat
eBook, English, 2014
Elsevier Science, Burlington, 2014
1 online resource (1181 pages)
9780080522968, 0080522963
1056057713
Cover; Title Page; Copyright Page; Contents; Preface; Part One: Review Material; Chapter 1. Review of Prerequisites; 1.1 Real Numbers, Mathematical Induction, and Mathematical Conventions; 1.2 Complex Numbers; 1.3 The Complex Plane; 1.4 Modulus and Argument Representation of Complex Numbers; 1.5 Roots of Complex Numbers; 1.6 Partial Fractions; 1.7 Fundamentals of Determinants; 1.8 Continuity in One or More Variables; 1.9 Differentiability of Functions of One or More Variables; 1.10 Tangent Line and Tangent Plane Approximations to Functions; 1.11 Integrals; 1.12 Taylor and Maclaurin Theorems. 1.13 Cylindrical and Spherical Polar Coordinates and Change of Variables in Partial Differentiation1.14 Inverse Functions and the Inverse Function Theorem; Part Two: Vectors and Matrices; Chapter 2. Vectors and Vector Spaces; 2.1 Vectors, Geometry, and Algebra; 2.2 The Dot Product (Scalar Product); 2.3 The Cross Product (Vector Product); 2.4 Linear Dependence and Independence of Vectors and Triple Products; 2.5 n-Vectors and the Vector Space Rn; 2.6 Linear Independence, Basis, and Dimension; 2.7 Gram-Schmidt Orthogonalization Process; Chapter 3. Matrices and Systems of Linear Equations. 3.1 Matrices3.2 Some Problems That Give Rise to Matrices; 3.3 Determinants; 3.4 Elementary Row Operations, Elementary Matrices, and Their Connection with Matrix Multiplication; 3.5 The Echelon and Row-Reduced Echelon Forms of a Matrix; 3.6 Row and Column Spaces and Rank; 3.7 The Solution of Homogeneous Systems of Linear Equations; 3.8 The Solution of Nonhomogeneous Systems of Linear Equations; 3.9 The Inverse Matrix; 3.10 Derivative of a Matrix; Chapter 4. Eigenvalues, Eigenvectors, and Diagonalization; 4.1 Characteristic Polynomial, Eigenvalues, and Eigenvectors. 4.2 Diagonalization of Matrices4.3 Special Matrices with Complex Elements; 4.4 Quadratic Forms; 4.5 The Matrix Exponential; Part Three: Ordinary Differential Equations; Chapter 5. First Order Differential Equations; 5.1 Background to Ordinary Differential Equations; 5.2 Some Problems Leading to Ordinary Differential Equations; 5.3 Direction Fields; 5.4 Separable Equations; 5.5 Homogeneous Equations; 5.6 Exact Equations; 5.7 Linear First Order Equations; 5.8 The Bernoulli Equation; 5.9 The Riccati Equation; 5.10 Existence and Uniqueness of Solutions. Chapter 6. Second and Higher Order Linear Differential Equations and Systems6.1 Homogeneous Linear Constant Coefficient Second Order Equations; 6.2 Oscillatory Solutions; 6.3 Homogeneous Linear Higher Order Constant Coefficient Equations; 6.4 Undetermined Coefficients Particular Integrals; 6.5 Cauchy-Euler Equation; 6.6 Variation of Parameters and the Green's Function; 6.7 Finding a Second Linearly Independent Solution from a Known Solution The Reduction of Order Method; 6.8 Reduction to the Standard Form u'' + f (x)u = 0; 6.9 Systems of Ordinary Differential Equations An Introduction
6.10 A Matrix Approach to Linear Systems of Differential Equations