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A first course with applications to differential equations This text provides ample coverage of major topics traditionally taught in a first course on linear algebra: linear spaces, independence, orthogonality, linear transformations, matrices, eigenvalues, and quadratic forms. The last three chapters describe applications to differential equations. Although much of the material has been extracted from the author's two-volume Calculus, the present text is designed to be independent of the Calculus volumes. Some topics have been revised or rearranged, and some new material has been added (for example, the triangularization theorem and the Jordan normal form). A review chapter contains pre-calculus prerequisites needed for the material on linear algebra in Chapters 1 through 7 and calculus prerequisites needed for the applications to differential equations in Chapters 8 through 10. Special features
Linear Analysis. Linear Spaces. Linear Transformations and Matrices. Determinants. Eigenvalues and Eigenvectors. Eigenvalues of Operators Acting on Euclidean Spaces. Linear Differential Equations. Systems of Differential Equations. Nonlinear Analysis. Differential Calculus of Scalar and Vector Fields. Applications of the Differential Calculus. Line Integrals. Special Topics. Set Functions and Elementary Probability. Calculus of Probabilities. Introduction to Numerical Analysis.
Historical Introduction. Some Basic Concepts of the Theory of Sets. A Set of Axioms for the Real Number System. Mathematical Induction, Summation Notation, and Related Topics. The Concepts of the Integral Calculus. Some Applications of Differentiation. Continuous Functions. Differential Calculus. The Relation between Integration and Differentiation. The Logarithm, the Exponential, and the Inverse Trigonometric Functions. Polynomial Approximations to Functions. Introduction to Differential Equations. Complex Numbers. Sequences, Infinite Series, Improper Integrals. Sequences and Series of Functions. Vector Algebra. Applications of Vector Algebra to Analytic Geometry. Calculus of Vector-Valued Functions. Linear Spaces. Linear Transformations and Matrices. Exercises. Answers to Exercises. Index.
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