An Introduction to Markov Processes (Graduate Texts in Mathematics, 230)

Stroock, Daniel W.

ISBN 10: 3642405223 ISBN 13: 9783642405228

Editorial: Springer, 2013

Idioma: Ingl�s

Condici�n: Usado - Aceptable Encuadernaci�n de tapa dura

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Detalles bibliogr�ficos

T�tulo

An Introduction to Markov Processes (Graduate Texts in Mathematics, 230)

Editor

Springer

Fecha de publicaci�n

2013

Idioma

Ingl�s

ISBN 10

3642405223

ISBN 13

9783642405228

Encuadernaci�n

Encuadernaci�n de tapa dura

Edici�n

2� Edici�n

Estado

Good

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Sinopsis

This book provides a rigorous but elementary introduction to the theory of Markov Processes on a countable state space. It should be accessible to students with a solid undergraduate background in mathematics, including students from engineering, economics, physics, and biology. Topics covered are: Doeblin's theory, general ergodic properties, and continuous time processes. Applications are dispersed throughout the book. In addition, a whole chapter is devoted to reversible processes and the use of their associated Dirichlet forms to estimate the rate of convergence to equilibrium. These results are then applied to the analysis of the Metropolis (a.k.a simulated annealing) algorithm.

The corrected and enlarged 2^nd edition contains a new chapter in which the author develops computational methods for Markov chains on a finite state space. Most intriguing is the section with a new technique for computing stationary measures, which is applied to derivations of Wilson's algorithm and Kirchoff's formula for spanning trees in a connected graph.

Acerca del autor

Daniel Stroock has held positions at NYU, the University of Colorado, and MIT. In addition, he has visited and lectured at many universities throughout the world. He has authored several books on analysis and various aspects of probability theory and their application to partial differential equations and differential geometry.

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