Generators of Markov Chains

Generators of Markov Chains PDF

Author: Adam Bobrowski

Publisher: Cambridge University Press

Published: 2020-11-26

Total Pages: 279

ISBN-13: 1108495796

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A clear explanation of what an explosive Markov chain does after it passes through all available states in finite time.

Markov Processes, Semigroups, and Generators

Markov Processes, Semigroups, and Generators PDF

Author: Vassili N. Kolokoltsov

Publisher: Walter de Gruyter

Published: 2011

Total Pages: 449

ISBN-13: 3110250101

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This work offers a highly useful, well developed reference on Markov processes, the universal model for random processes and evolutions. The wide range of applications, in exact sciences as well as in other areas like social studies, require a volume that offers a refresher on fundamentals before conveying the Markov processes and examples for

Markov Processes, Semigroups and Generators

Markov Processes, Semigroups and Generators PDF

Author: Vassili N. Kolokoltsov

Publisher: Walter de Gruyter

Published: 2011-03-29

Total Pages: 449

ISBN-13: 311025011X

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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

Markov Processes

Markov Processes PDF

Author: James R. Kirkwood

Publisher: CRC Press

Published: 2015-02-09

Total Pages: 336

ISBN-13: 1482240742

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Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes and also as a reference for those that want to see detailed proofs of the theorems of Markov processes. It contains copious computational examples that motivate and illustrate the theorems. The text is desi

Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems

Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems PDF

Author: Houmin Yan

Publisher: Springer Science & Business Media

Published: 2006-09-10

Total Pages: 397

ISBN-13: 0387338152

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This edited volume contains 16 research articles. It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. One of the salient features is that the book is highly multi-disciplinary. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.

Markov Processes

Markov Processes PDF

Author: Stewart N. Ethier

Publisher: John Wiley & Sons

Published: 2009-09-25

Total Pages: 528

ISBN-13: 0470317329

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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "[A]nyone who works with Markov processes whose state space is uncountably infinite will need this most impressive book as a guide and reference." -American Scientist "There is no question but that space should immediately be reserved for [this] book on the library shelf. Those who aspire to mastery of the contents should also reserve a large number of long winter evenings." -Zentralblatt für Mathematik und ihre Grenzgebiete/Mathematics Abstracts "Ethier and Kurtz have produced an excellent treatment of the modern theory of Markov processes that [is] useful both as a reference work and as a graduate textbook." -Journal of Statistical Physics Markov Processes presents several different approaches to proving weak approximation theorems for Markov processes, emphasizing the interplay of methods of characterization and approximation. Martingale problems for general Markov processes are systematically developed for the first time in book form. Useful to the professional as a reference and suitable for the graduate student as a text, this volume features a table of the interdependencies among the theorems, an extensive bibliography, and end-of-chapter problems.

Continuous Time Markov Processes

Continuous Time Markov Processes PDF

Author: Thomas Milton Liggett

Publisher: American Mathematical Soc.

Published: 2010

Total Pages: 290

ISBN-13: 0821849492

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Markov processes are among the most important stochastic processes for both theory and applications. This book develops the general theory of these processes, and applies this theory to various special examples.

Continuous-Time Markov Chains and Applications

Continuous-Time Markov Chains and Applications PDF

Author: G. George Yin

Publisher: Springer Science & Business Media

Published: 2012-11-14

Total Pages: 442

ISBN-13: 1461443466

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This book gives a systematic treatment of singularly perturbed systems that naturally arise in control and optimization, queueing networks, manufacturing systems, and financial engineering. It presents results on asymptotic expansions of solutions of Komogorov forward and backward equations, properties of functional occupation measures, exponential upper bounds, and functional limit results for Markov chains with weak and strong interactions. To bridge the gap between theory and applications, a large portion of the book is devoted to applications in controlled dynamic systems, production planning, and numerical methods for controlled Markovian systems with large-scale and complex structures in the real-world problems. This second edition has been updated throughout and includes two new chapters on asymptotic expansions of solutions for backward equations and hybrid LQG problems. The chapters on analytic and probabilistic properties of two-time-scale Markov chains have been almost completely rewritten and the notation has been streamlined and simplified. This book is written for applied mathematicians, engineers, operations researchers, and applied scientists. Selected material from the book can also be used for a one semester advanced graduate-level course in applied probability and stochastic processes.

The Theory of Stochastic Processes I

The Theory of Stochastic Processes I PDF

Author: Iosif I. Gikhman

Publisher: Springer

Published: 2015-03-30

Total Pages: 587

ISBN-13: 3642619436

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From the Reviews: "Gihman and Skorohod have done an excellent job of presenting the theory in its present state of rich imperfection." --D.W. Stroock, Bulletin of the American Mathematical Society, 1980

Markov Chains

Markov Chains PDF

Author: Pierre Bremaud

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 456

ISBN-13: 1475731248

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Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.