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Geometric Multivector Analysis eBook

From Grassmann To Dirac

de Andreas Rosen
idioma: inglês
Editor: Springer International Publishing, novembro de 2019 ‧
72,86€
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DISPONIBILIDADE IMEDIATA
Ebook para ADE

This book presents a step-by-step guide to the basic theory of multivectors and spinors, with a focus on conveying to the reader the geometric understanding of these abstract objects. Following in the footsteps of M. Riesz and L. Ahlfors, the book also explains how Clifford algebra offers the ideal tool for studying spacetime isometries and Möbius maps in arbitrary dimensions.

The book carefully develops the basic calculus of multivector fields and differential forms, and highlights novelties in the treatment of, e.g., pullbacks and Stokes’s theorem as compared to standard literature. It touches on recent research areas in analysis and explains how the function spaces of multivector fields are split into complementary subspaces by the natural first-order differential operators, e.g., Hodge splittings and Hardy splittings. Much of the analysis is done on bounded domains in Euclidean space, with a focus on analysis at the boundary. The book also includes a derivation of new Dirac integral equations for solving Maxwell scattering problems, which hold promise for future numerical applications. The last section presents down-to-earth proofs of index theorems for Dirac operators on compact manifolds, one of the most celebrated achievements of 20th-century mathematics.

The book is primarily intended for graduate and PhD students of mathematics. It is also recommended for more advanced undergraduate students, as well as researchers in mathematics interested in an introduction to geometric analysis.

 

Geometric Multivector Analysis

From Grassmann To Dirac

de Andreas Rosen

Propriedade Descrição
ISBN: 9783030314118
Editor: Springer International Publishing
Data de Lançamento: novembro de 2019
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade: PDF para ADE
Coleção: Birkhauser Advanced Texts Basler Lehrbucher
Classificação Temática: eBooks em Inglês > Ciências Exatas e Naturais > Matemática
EAN: 9783030314118