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Markov Processes Semigroups And Generators Vassili N Kolokoltsov

  • SKU: BELL-50378696
Markov Processes Semigroups And Generators Vassili N Kolokoltsov
$ 31.00 $ 45.00 (-31%)

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Markov Processes Semigroups And Generators Vassili N Kolokoltsov instant download after payment.

Publisher: De Gruyter
File Extension: PDF
File size: 2.75 MB
Pages: 448
Author: Vassili N. Kolokoltsov
ISBN: 9783110250114, 311025011X
Language: English
Year: 2011

Product desciption

Markov Processes Semigroups And Generators Vassili N Kolokoltsov by Vassili N. Kolokoltsov 9783110250114, 311025011X instant download after payment.

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 sciences, creating new streamlined logical paths to its turbulent boundary. Even if a given process is not Markov, it can be often inserted into a larger Markov one (Markovianization procedure) by including the key historic parameters into the state space.


This monograph gives a concise, but systematic and self-contained, exposition of the essentials of Markov processes, together with recent achievements, working from the "physical picture" - a formal pre-generator, and stressing the interplay between probabilistic (stochastic differential equations) and analytic (semigroups) tools.


The book will be useful to students and researchers. Part I can be used for a one-semester course on Brownian motion, Lévy and Markov processes, or on probabilistic methods for PDE. Part II mainly contains the author's research on Markov processes.


From the contents:


  • Tools from Probability and Analysis
  • Brownian motion
  • Markov processes and martingales
  • SDE, ψDE and martingale problems
  • Processes in Euclidean spaces
  • Processes in domains with a boundary
  • Heat kernels for stable-like processes
  • Continuous-time random walks and fractional dynamics
  • Complex chains and Feynman integral

  • Offers a first part on basic concepts of probability theory
  • Then builds on that by conveying material on generators for stable-like processes and Levy processes
  • A third part offers various applications
  • Easy to follow presentation
  • With examples and exercises, so useable as secondary reading for courses

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