Markov Processes, Semigroups and Generators / / Vassili N. Kolokoltsov.
Markov processes represent a universal model for a large variety of real life random evolutions. The wide flow of new ideas, tools, methods and applications constantly pours into the ever-growing stream of research on Markov processes that rapidly spreads over new fields of natural and social scienc...
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Superior document: | Title is part of eBook package: De Gruyter DG Studies in Mathematics eBook-Package |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2011] ©2011 |
Year of Publication: | 2011 |
Language: | English |
Series: | De Gruyter Studies in Mathematics ,
38 |
Online Access: | |
Physical Description: | 1 online resource (430 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Notations
- Standard abbreviations
- Contents
- I Introduction to stochastic analysis
- 1 Tools from probability and analysis
- 2 Brownian motion (BM)
- 3 Markov processes and martingales
- 4 SDE, ΨDE and martingale problems
- II Markov processes and beyond
- 5 Processes in Euclidean spaces
- 6 Processes in domains with a boundary
- 7 Heat kernels for stable-like processes
- 8 CTRW and fractional dynamics
- 9 Complex Markov chains and Feynman integral
- Bibliography
- Index