Poisson Point Processes and Their Application to Markov Processes - Couverture souple

Livre 1 sur 12: SpringerBriefs in Probability and Mathematical Statistics

Itô, Kiyosi

 
9789811002717: Poisson Point Processes and Their Application to Markov Processes

Synopsis

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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Autres éditions populaires du même titre

9789811002731: Poisson Point Processes and Their Application to Markov Processes

Edition présentée

ISBN 10 :  9811002738 ISBN 13 :  9789811002731
Editeur : Springer, 2016
Couverture souple