Markov Processes and Potential Theory

Markov Processes and Potential Theory
Author :
Publisher : Academic Press
Total Pages : 325
Release :
ISBN-10 : 9780080873411
ISBN-13 : 0080873413
Rating : 4/5 (413 Downloads)

Book Synopsis Markov Processes and Potential Theory by :

Download or read book Markov Processes and Potential Theory written by and published by Academic Press. This book was released on 2011-08-29 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov Processes and Potential Theory


Markov Processes and Potential Theory Related Books

Markov Processes and Potential Theory
Language: en
Pages: 325
Authors:
Categories: Mathematics
Type: BOOK - Published: 2011-08-29 - Publisher: Academic Press

DOWNLOAD EBOOK

Markov Processes and Potential Theory
Classical Potential Theory and Its Probabilistic Counterpart
Language: en
Pages: 892
Authors: Joseph L. Doob
Categories: Mathematics
Type: BOOK - Published: 2001-01-12 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

From the reviews: "Here is a momumental work by Doob, one of the masters, in which Part 1 develops the potential theory associated with Laplace's equation and t
Theory of Markov Processes
Language: en
Pages: 226
Authors: E. B. Dynkin
Categories: Mathematics
Type: BOOK - Published: 2012-01-27 - Publisher: Courier Corporation

DOWNLOAD EBOOK

DIVAn investigation of the logical foundations of the theory behind Markov random processes, this text explores subprocesses, transition functions, and conditio
Pseudo Differential Operators & Markov Processes: Markov processes and applications
Language: en
Pages: 506
Authors: Niels Jacob
Categories: Mathematics
Type: BOOK - Published: 2001 - Publisher: Imperial College Press

DOWNLOAD EBOOK

This work covers two topics in detail: Fourier analysis, with emphasis on positivity and also on some function spaces and multiplier theorems; and one-parameter
Excursions of Markov Processes
Language: en
Pages: 287
Authors: Robert M. Blumenthal
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Let {Xti t ~ O} be a Markov process in Rl, and break up the path X t into (random) component pieces consisting of the zero set ({ tlX = O}) and t the "excursion