Eigenvalues, Inequalities and Ergodic Theory
Chen, Mu-Fa
ISBN 10: 1852338687 ISBN 13: 9781852338688
Published by Springer London Ltd, 2005
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About this Item
Description:
Covers the estimation of the spectral gap for matrices or differential operators. Intended for researchers, graduates and postgraduates in probability theory, Markov processes, mathematical physics and spectrum theory, this book includes chapters that introduces readers to problems and application areas, including stochastic models of economy. Series: Probability and its Applications. Num Pages: 241 pages, 15 black & white illustrations, biography. BIC Classification: PBF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 1150. . 2004. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781852338688
Synopsis:
A problem of broad interest - the estimation of the spectral gap for matrices or differential operators (Markov chains or diffusions) - is covered in this book. In particular, it studies a subset of the general problem, taking some approaches that have, up till now, only appeared largely in the Chinese literature.
Eigenvalues, Inequalities and Ergodic Theory serves as an introduction to this developing field, and provides an overview of the methods used in an accessible and concise manner.
Each chapter starts with a summary and, in order to appeal to non-specialists, ideas are introduced through simple examples rather than technical proofs. In the latter chapters readers are introduced to problems and application areas, including stochastic models of economy.
Intended for researchers, graduates and postgraduates in probability theory, Markov processes, mathematical physics and spectrum theory, this book will be a welcome introduction to a growing area of research.
About the Author:
Mu-Fa Chen is Professor of Mathematics at Beijing Normal University, in the People’s Republic of China, and Member of the Chinese Academy of Sciences. In 1999 he received a Prize for Progress on Sciences and Technology from the Ministry of Education and a National Prize on Natural Sciences from the Ministry of Science and Technology in the People’s Republic of China.
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Bibliographic Details
Title: Eigenvalues, Inequalities and Ergodic Theory
Publisher: Springer London Ltd
Publication Date: 2005
Binding: Hardcover
Condition: New
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