Theory Of Markov Processes
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Author: E. B. Dynkin
Added by: mirtitles
Added Date: 2022-03-01
Language: eng
Subjects: mathematics, soviet, markov processes, measurable sets, subprocesses
Collections: mir-titles, additional collections
Pages Count: 300
PPI Count: 300
PDF Count: 1
Total Size: 88.53 MB
PDF Size: 7.34 MB
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Description
The present book aims at investigating the logical founda- tions of the theory of Markov random processes.
The theory of Markov processes has developed rapidly in recent years, The properties o£ the trajectories of such processes and their infinitesimal operators have been studied, and intimate connexions have been discovered
between the behaviour of the trajectories and the properties of the differential equations corresponding to the process. These connexions are useful for studying differential equa- tions as well as Markov processes. The material thus accumu- lated has made necessary a critical survey of the fundamen- tals of the theory. In particular, the usual statement o£ the Markov principle of "absence of after-effects" has been found to be inadequate and various authors have proposed different forms for a strengthened principle whereby a pro- cess is "strictly Markov." It has become obvious that the most natural subject for s~~dy is presented by Markov pro- cesses cut of£ at a random instant. All these and other ideas were originally introduced by different authors in different forms, according to the specific purposes of their specialized works - in which stationary Markov processes are considered almost exclusively,
This book cannot be used by the student to make his first acquaintance with the theory of Markov processes. Although we have not assumed formally any previous acquaintance with the theory of probability, in fact a reading of the book can only prove of value to someone already acquainted with an elementary exposition of the theory of Markov processes, such as is contained, for instance, in Feller's "Introduc- tion to probability theory and its applications," Vol. 1 (Vvedenie v teoriyu veroyatnostei i ee prilozheniya), or Gnedenko's "Course of probability theory" (Kurs teorii veroyatnostei).
The present work is closely allied to a monograph now in the press entitled "Infinitesimal operators of Markov pro- cesses" (Infinitezimalnye operatory markovskikh protsessov), which is devoted to the task of classifying Markov processes. The two works should be regarded as the two parts of a single monograph on the theory of Markov processes.
The present material comes from a series of papers and special courses given by the author at Moscow and Pekin universities. The author is grateful to his audience for a number of observations which he made use of during the final preparation of the manuscript.
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