Homogeneous Denumerable Markov Processes

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Springer Science & Business Media, Dec 6, 2012 - Mathematics - 281 pages
Markov processes play an important role in the study of probability theory. Homogeneous denumerable Markov processes are among the main topics in the theory and have a wide range of application in various fields of science and technology (for example, in physics, cybernetics, queuing theory and dynamical programming). This book is a detailed presentation and summary of the research results obtained by the authors in recent years. Most of the results are published for the first time. Two new methods are given: one is the minimal nonnegative solution, the second the limit transition method. With the help of these two methods, the authors solve many important problems in the framework of denumerable Markov processes.
 

Contents

Chapter II
16
Part II
29
Calculation
41
Chapter V
47
6
53
8
61
Martin Exit Boundary Theory
93
5
99
Martin Entrance Boundary Theory
124
Minimal QProcesses
133
7
166
Arbitrary QProcesses
186
Construction Theory of Homogeneous Denumerable
200
Construction of QProcesses
240
Qualitative Theory
246
Bibliography
279

6
105
9
112

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