Kiyosi Itô 
Poisson Point Processes and Their Application to Markov Processes [PDF ebook] 

Soporte

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. Mc Kean, 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< (called the stagnancy rate). The necessary and sufficient conditions for a pair k, m was obtained so that the correspondence is precisely described. For this, Itô used, as a fundamental tool, the notion of Poisson point processes formed of all excursions of the process on S / {a}. This theory of Itô’s of Poisson point processes of excursions is indeed a breakthrough. It has been expanded and applied to more general extension problems by many succeeding researchers. Thus we may say that this lecture note by Itô is really a memorial work in the extension problems of Markov processes. Especially in Chapter 1 of this note, a general theory of Poisson point processes is given that reminds us of Itô’s beautiful and impressive lectures in his day.

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1. Poisson point processes.- 2. Application to Markov Process.

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Idioma Inglés ● Formato PDF ● Páginas 43 ● ISBN 9789811002724 ● Tamaño de archivo 1.0 MB ● Editorial Springer Singapore ● Ciudad Singapore ● País SG ● Publicado 2015 ● Descargable 24 meses ● Divisa EUR ● ID 4815204 ● Protección de copia DRM social

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