行列:理論と応用(第2版)<br>Matrices : Theory and Applications (Graduate Texts in Mathematics) 〈Vol. 216〉 (2ND)

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行列:理論と応用(第2版)
Matrices : Theory and Applications (Graduate Texts in Mathematics) 〈Vol. 216〉 (2ND)

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  • 製本 Hardcover:ハードカバー版/ページ数 289 p.
  • 言語 ENG
  • 商品コード 9781441976826
  • DDC分類 512

基本説明

Updated edition with 40% new content with a new and more logical structure 7 Features important material that was not in the first edition, including but not limited to the Dunford decomposition, tensor calculus, stable and unstable
subspaces, Weyl inequalities, and von Neumann's Inequality. Original French edition published by Dunod, 2001.

Full Description

In this book, Denis Serre begins by providing a clean and concise introduction to the basic theory of matrices. He then goes on to give many interesting applications of matrices to different aspects of mathematics and also other areas of science and engineering. With forty percent new material, this second edition is significantly different from the first edition. Newly added topics include: • Dunford decomposition, • tensor and exterior calculus, polynomial identities, • regularity of eigenvalues for complex matrices, • functional calculus and the Dunford-Taylor formula, • numerical range, • Weyl's and von Neumann's inequalities, and • Jacobi method with random choice. The book mixes together algebra, analysis, complexity theory and numerical analysis. As such, this book will provide many scientists, not just mathematicians, with a useful and reliable reference. It is intended for advanced undergraduate and graduate students with either applied or theoretical goals. This book is based on a course given by the author at the École Normale Supérieure de Lyon.

Contents

Elementary Linear and Multilinear Algebra.- What Are Matrices.- Square Matrices.- Tensor and Exterior Products.- Matrices with Real or Complex Entries.- Hermitian Matrices.- Norms.- Nonnegative Matrices.- Matrices with Entries in a Principal Ideal Domain; Jordan Reduction.- Exponential of a Matrix, Polar Decomposition, and Classical Groups.- Matrix Factorizations and Their Applications.- Iterative Methods for Linear Systems.- Approximation of Eigenvalues.

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