Separation of Variables and Exact Solutions to Nonlinear PDEs (Advances in Applied Mathematics)

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Separation of Variables and Exact Solutions to Nonlinear PDEs (Advances in Applied Mathematics)

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  • 製本 Hardcover:ハードカバー版/ページ数 383 p.
  • 言語 ENG
  • 商品コード 9780367486891
  • DDC分類 515.355

Full Description

Separation of Variables and Exact Solutions to Nonlinear PDEs is devoted to describing and applying methods of generalized and functional separation of variables used to find exact solutions of nonlinear partial differential equations (PDEs). It also presents the direct method of symmetry reductions and its more general version. In addition, the authors describe the differential constraint method, which generalizes many other exact methods.

The presentation involves numerous examples of utilizing the methods to find exact solutions to specific nonlinear equations of mathematical physics. The equations of heat and mass transfer, wave theory, hydrodynamics, nonlinear optics, combustion theory, chemical technology, biology, and other disciplines are studied.

Particular attention is paid to nonlinear equations of a reasonably general form that depend on one or several arbitrary functions. Such equations are the most difficult to analyze. Their exact solutions are of significant practical interest, as they are suitable to assess the accuracy of various approximate analytical and numerical methods.

The book contains new material previously unpublished in monographs. It is intended for a broad audience of scientists, engineers, instructors, and students specializing in applied and computational mathematics, theoretical physics, mechanics, control theory, chemical engineering science, and other disciplines.

Individual sections of the book and examples are suitable for lecture courses on partial differential equations, equations of mathematical physics, and methods of mathematical physics, for delivering special courses and for practical training.

Contents

1. Methods of Generalized Separation of Variables

2. Methods of Functional Separation of Variables

3. Direct Method of Symmetry Reductions. Weak Symmetries

4. Method of Differential Constraints

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