Poisson Point Processes and Their Application to Markov Processes

Poisson Point Processes and Their Application to Markov Processes
Author :
Publisher : Springer
Total Pages : 54
Release :
ISBN-10 : 9789811002724
ISBN-13 : 981100272X
Rating : 4/5 (72X Downloads)

Book Synopsis Poisson Point Processes and Their Application to Markov Processes by : Kiyosi Itô

Download or read book Poisson Point Processes and Their Application to Markov Processes written by Kiyosi Itô and published by Springer. This book was released on 2015-12-24 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


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