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Poisson Point Processes and Their Application to Markov Processes (2015)

Contributor(s): Itô, Kiyosi (Author), Watanabe, Shinzo (Foreword by), Shigekawa, Ichiro (Foreword by)

ISBN: 9789811002717

Publisher: Springer

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Pub Date: February 1, 2016

Dewey: 515.42

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.12" H x 9.21" L x 6.14" W ( 0.20 lbs) 43 pages

Series: Springerbriefs in Probability and Mathematical Statistics

Descriptions, Reviews, etc.

Description: An extension problem (often called a boundary problem) of Markov processes has been studied, particularly in the case of one-dimensional diffusion processes, by W. Feller, K. Itô, and H. P. McKean, among others. In this book, Itô discussed a case of a general Markov process with state space S and a specified point a ∈ S called a boundary. The problem is to obtain all possible recurrent extensions of a given minimal process (i.e., the process on S \ {a} which is absorbed on reaching the boundary a). The study in this lecture is restricted to a simpler case of the boundary a being a discontinuous entrance point, leaving a more general case of a continuous entrance point to future works. He established a one-to-one correspondence between a recurrent extension and a pair of a positive measure k(db) on S \ {a} (called the jumping-in measure and a non-negative number m

Review Quotes: "The main idea of this volume has had a profound influence on the boundary theory of Markov processes. This volume is beautifully written and it is a pleasure to read." (Ren Ming Song, Mathematical Reviews, December, 2016)

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