Analysis and Geometry of Markov Diffusion Operators (Paperback, Softcover reprint of the original 1st ed. 2014)

The present volume is an extensive monograph on the analytic and geometric aspects of Markov diffusion operators. It focuses on the geometric curvature properties of the underlying structure in order to study convergence to equilibrium, spectral bounds, functional inequalities such as Poincare, Sobolev or logarithmic Sobolev inequalities, and various bounds on solutions of evolution equations. At the same time, it covers a large class of evolution and partial differential equations. The book is intended to serve as an introduction to the subject and to be accessible for beginning and advanced scientists and non-specialists. Simultaneously, it covers a wide range of results and techniques from the early developments in the mid-eighties to the latest achievements. As such, students and researchers interested in the modern aspects of Markov diffusion operators and semigroups and their connections to analytic functional inequalities, probabilistic convergence to equilibrium and geometric curvature will find it especially useful. Selected chapters can also be used for advanced courses on the topic.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Grundlehren der mathematischen Wissenschaften, 348
Release date:	August 2016
First published:	2014
Authors:	Dominique Bakry • Ivan Gentil • Michel Ledoux
Dimensions:	235 x 155 x 29mm (L x W x T)
Format:	Paperback
Pages:	552
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-34323-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Mathematics > Geometry > Differential & Riemannian geometry
LSN:	3-319-34323-8
Barcode:	9783319343235

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