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Fuchsian Reduction - Applications to Geometry, Cosmology and Mathematical Physics (Hardcover, 2007 ed.) Loot Price: R1,633

Discovery Miles 16 330

Repayment Terms: R153 pm x 12*

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Fuchsian Reduction - Applications to Geometry, Cosmology and Mathematical Physics (Hardcover, 2007 ed.): Satyanad Kichenassamy

Fuchsian Reduction - Applications to Geometry, Cosmology and Mathematical Physics (Hardcover, 2007 ed.)

Satyanad Kichenassamy

Series: Progress in Nonlinear Differential Equations and Their Applications, 71

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Loot Price R1,633 Discovery Miles 16 330 | Repayment Terms: R153 pm x 12*

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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.

General

Imprint:	Birkhauser Boston
Country of origin:	United States
Series:	Progress in Nonlinear Differential Equations and Their Applications, 71
Release date:	September 2007
First published:	2007
Authors:	Satyanad Kichenassamy
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	289
Edition:	2007 ed.
ISBN-13:	978-0-8176-4352-2
Categories:	Books > Science & Mathematics > Mathematics > Geometry > General Promotions
LSN:	0-8176-4352-4
Barcode:	9780817643522