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Topology, Calculus and Approximation

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概要 Presenting basic results of topology, calculus of several variables, and approximation theory which are rarely treated in a single volume, this textbook includes several beautiful, but almost forgotte..., classical theorems of Descartes, Erdős, Fejér, Stieltjes, and Turán. The exposition style of Topology, Calculus and Approximation follows the Hungarian mathematical tradition of Paul Erdős and others. In the first part, the classical results of Alexandroff, Cantor, Hausdorff, Helly, Peano, Radon, Tietze and Urysohn illustrate the theories of metric, topological and normed spaces. Following this, the general framework of normed spaces and Carathéodory's definition of the derivative are shown to simplify the statement and proof of various theorems in calculus and ordinary differential equations. The third and final part is devoted to interpolation, orthogonal polynomials, numerical integration, asymptotic expansions and the numerical solution of algebraic and differential equations. Students of both pure and applied mathematics, as well as physics and engineering should find this textbook useful. Only basic results of one-variable calculus and linear algebra are used, and simple yet pertinent examples and exercises illustrate the usefulness of most theorems. Many of these examples are new or difficult to locate in the literature, and so the original sources of most notions and results are given to help readers understand the development of the field.続きを見る
目次 Part 1. Topology
Chapter 1. Metric spaces
Chapter 2. Topological spaces
Chapter 3. Normed spaces
Part 2. Differential calculus
Chapter 4. The Derivative
Chapter 5. Higher-order derivatives
Chapter 6. Ordinary differential equations
Chapter 7. Implicit functions and their applications
Part 3. Approximation methods
Chapter 8. Interpolation
Chapter 9. Orthogonal polynomials
Chapter 10. Numerical integration
Chapter 11. Finding roots
Chapter 12. Numerical solution of differential equations.
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本文を見る Full text available from SpringerLINK ebooks - Mathematics and Statistics (2017)
Full text available from SpringerLink ebooks - Mathematics and Statistics without Lecture Notes (2017)

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登録日 2017.07.11
更新日 2017.12.27