This four-part text beautifully interweaves theory and applications in Fuchsian reduction. Most chapters contain a problem section and notes with references to the literature. This volume can be used as a text in graduate courses or as a resource for researchers. Series: Progress in Nonlinear Differential Equations and Their Applications. Num Pages: 304 pages, biography. BIC Classification: PBM. Category: (P) Professional & Vocational. Dimension: 244 x 165 x 20. Weight in Grams: 554. . 2007. 2007th Edition. hardcover. . . . .

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Bibliographic Details

Title: Fuchsian Reduction: Applications to Geometry, Cosmology and Mathematical Physics: 71 (Progress in Nonlinear Differential Equations and Their Applications, 71)
Publisher: Birkh?user
Publication Date: 2007
Language: English
ISBN 10: 0817643524
ISBN 13: 9780817643522
Binding: Hardcover
Condition: New

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Synopsis

Fuchsian reduction is a method for representing solutions of nonlinear PDEs near singularities. The technique has multiple applications including soliton theory, Einstein's equations and cosmology, stellar models, laser collapse, conformal geometry and combustion. Developed in the 1990s for semilinear wave equations, Fuchsian reduction research has grown in response to those problems in pure and applied mathematics where numerical computations fail.

This work unfolds systematically in four parts, interweaving theory and applications. The case studies examined in Part III illustrate the impact of reduction techniques, and may serve as prototypes for future new applications. In the same spirit, most chapters include a problem section. Background results and solutions to selected problems close the volume.

This book can be used as a text in graduate courses in pure or applied analysis, or as a resource for researchers working with singularities in geometry and mathematical physics.

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This book can be used as a text in graduate courses in pure or applied analysis, or as a resource for researchers working with singularities in geometry and mathematical physics.

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