Includes bibliographical references (p. [209]-222) and indexes.
"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. The author starts with an overview chapter from which any of the following self contained chapters can be read." "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."--BOOK JACKET.
Probability and its applications (Springer-Verlag)