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Eigenvalue Distribution of Large Random Matrices.

Eigenvalue Distribution of Large Random Matrices.

・ISBN 978-0-8218-5285-9 hard US$ 105.00

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お気に入り
著者・編者Pastur, Leonid / Shcherbina, Mariya,
シリーズMathematical Surveys and Monographs
出版社(American Mathematical Society, US)
出版年月2011
ページ数634 pp.
言語ENG
ニュース番号<M25-15409>

解説

Random matrix theory is a wide and growing field with a variety of concepts, results, and techniques and a vast range of applications in mathematics and the related sciences. The book, written by well-known experts, offers beginners a fairly balanced collection of basic facts and methods (Part 1 on classical ensembles) and presents experts with an exposition of recent advances in the subject (Parts 2 and 3 on invariant ensembles and ensembles with independent entries). The text includes many of the authors' results and methods on several main aspects of the theory, thus allowing them to present a unique and personal perspective on the subject and to cover many topics using a unified approach essentially based on the Stieltjes transform and orthogonal polynomials. The exposition is supplemented by numerous comments, remarks, and problems. This results in a book that presents a detailed and self-contained treatment of the basic random matrix ensembles and asymptotic regimes. This book will be an important reference for researchers in a variety of areas of mathematics and mathematical physics. Various chapters of the book can be used for graduate courses; the main prerequisite is a basic knowledge of calculus, linear algebra, and probability theory.