Masatoshi Fukushima: Selecta

Masatoshi Fukushima: Selecta
Author: Niels Jacob
Publisher: Walter de Gruyter
Total Pages: 560
Release: 2010-04-23
Genre: Mathematics
ISBN: 311021525X

Masatoshi Fukushima is one of the most influential probabilists of our times. His fundamental work on Dirichlet forms and Markov processes made Hilbert space methods a tool in stochastic analysis and by this he opened the way to several new developments. His impact on a new generation of probabilists can hardly be overstated. These Selecta collect 25 of Fukushima's seminal articles published between 1967 and 2007.

Festschrift Masatoshi Fukushima: In Honor Of Masatoshi Fukushima's Sanju

Festschrift Masatoshi Fukushima: In Honor Of Masatoshi Fukushima's Sanju
Author: Zhen-qing Chen
Publisher: World Scientific
Total Pages: 618
Release: 2014-11-27
Genre: Mathematics
ISBN: 981459654X

This book contains original research papers by leading experts in the fields of probability theory, stochastic analysis, potential theory and mathematical physics. There is also a historical account on Masatoshi Fukushima's contribution to mathematics, as well as authoritative surveys on the state of the art in the field.

Dirichlet Forms and Related Topics

Dirichlet Forms and Related Topics
Author: Zhen-Qing Chen
Publisher: Springer Nature
Total Pages: 572
Release: 2022-09-04
Genre: Mathematics
ISBN: 9811946728

This conference proceeding contains 27 peer-reviewed invited papers from leading experts as well as young researchers all over the world in the related fields that Professor Fukushima has made important contributions to. These 27 papers cover a wide range of topics in probability theory, ranging from Dirichlet form theory, Markov processes, heat kernel estimates, entropy on Wiener spaces, analysis on fractal spaces, random spanning tree and Poissonian loop ensemble, random Riemannian geometry, SLE, space-time partial differential equations of higher order, infinite particle systems, Dyson model, functional inequalities, branching process, to machine learning and Hermitizable problems for complex matrices. Researchers and graduate students interested in these areas will find this book appealing.

Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)
Author: Zhen-Qing Chen
Publisher: Princeton University Press
Total Pages: 496
Release: 2012
Genre: Mathematics
ISBN: 069113605X

This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and Masatoshi Fukushima cover the essential elements and applications of the theory of symmetric Markov processes, including recurrence/transience criteria, probabilistic potential theory, additive functional theory, and time change theory. The authors develop the theory in a general framework of symmetric quasi-regular Dirichlet forms in a unified manner with that of regular Dirichlet forms, emphasizing the role of extended Dirichlet spaces and the rich interplay between the probabilistic and analytic aspects of the theory. Chen and Fukushima then address the latest advances in the theory, presented here for the first time in any book. Topics include the characterization of time-changed Markov processes in terms of Douglas integrals and a systematic account of reflected Dirichlet spaces, and the important roles such advances play in the boundary theory of symmetric Markov processes. This volume is an ideal resource for researchers and practitioners, and can also serve as a textbook for advanced graduate students. It includes examples, appendixes, and exercises with solutions.

Dirichlet Forms and Symmetric Markov Processes

Dirichlet Forms and Symmetric Markov Processes
Author: Masatoshi Fukushima
Publisher: Walter de Gruyter
Total Pages: 501
Release: 2010-12-23
Genre: Mathematics
ISBN: 3110218097

This book contains an introductory and comprehensive account of the theory of (symmetric) Dirichlet forms. Moreover this analytic theory is unified with the probabilistic potential theory based on symmetric Markov processes and developed further in conjunction with the stochastic analysis based on additive functional. Since the publication of the first edition in 1994, this book has attracted constant interests from readers and is by now regarded as a standard reference for the theory of Dirichlet forms. For the present second edition, the authors not only revised the existing text, but also added sections on capacities and Sobolev type inequalities, irreducible recurrence and ergodicity, recurrence and Poincaré type inequalities, the Donsker-Varadhan type large deviation principle, as well as several new exercises with solutions. The book addresses to researchers and graduate students who wish to comprehend the area of Dirichlet forms and symmetric Markov processes.

Probability Theory And Mathematical Statistics - Proceedings Of The 7th Japan-russia Symposium

Probability Theory And Mathematical Statistics - Proceedings Of The 7th Japan-russia Symposium
Author: Shinzo Watanabe
Publisher: World Scientific
Total Pages: 528
Release: 1996-07-29
Genre:
ISBN: 9814548634

The volume contains 46 papers presented at the Seventh Symposium in Tokyo. They represent the most recent research activity in Japan, Russia, Ukraina, Lithuania, Georgia and some other countries on diverse topics of the traditionally strong fields in these countries — probability theory and mathematical statistics.

Itô’s Stochastic Calculus and Probability Theory

Itô’s Stochastic Calculus and Probability Theory
Author: Nobuyuki Ikeda
Publisher: Springer Science & Business Media
Total Pages: 425
Release: 2012-12-06
Genre: Mathematics
ISBN: 4431685324

Professor Kiyosi Ito is well known as the creator of the modern theory of stochastic analysis. Although Ito first proposed his theory, now known as Ito's stochastic analysis or Ito's stochastic calculus, about fifty years ago, its value in both pure and applied mathematics is becoming greater and greater. For almost all modern theories at the forefront of probability and related fields, Ito's analysis is indispensable as an essential instrument, and it will remain so in the future. For example, a basic formula, called the Ito formula, is well known and widely used in fields as diverse as physics and economics. This volume contains 27 papers written by world-renowned probability theorists. Their subjects vary widely and they present new results and ideas in the fields where stochastic analysis plays an important role. Also included are several expository articles by well-known experts surveying recent developments. Not only mathematicians but also physicists, biologists, economists and researchers in other fields who are interested in the effectiveness of stochastic theory will find valuable suggestions for their research. In addition, students who are beginning their study and research in stochastic analysis and related fields will find instructive and useful guidance here. This volume is dedicated to Professor Ito on the occasion of his eightieth birthday as a token of deep appreciation for his great achievements and contributions. An introduction to and commentary on the scientific works of Professor Ito are also included.

Fokker-Planck-Kolmogorov Equations

Fokker-Planck-Kolmogorov Equations
Author: Vladimir I. Bogachev
Publisher: American Mathematical Soc.
Total Pages: 495
Release: 2015-12-17
Genre: Mathematics
ISBN: 1470425580

This book gives an exposition of the principal concepts and results related to second order elliptic and parabolic equations for measures, the main examples of which are Fokker-Planck-Kolmogorov equations for stationary and transition probabilities of diffusion processes. Existence and uniqueness of solutions are studied along with existence and Sobolev regularity of their densities and upper and lower bounds for the latter. The target readership includes mathematicians and physicists whose research is related to diffusion processes as well as elliptic and parabolic equations.

Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)
Author: Zhenqing Chen
Publisher: Princeton University Press
Total Pages: 496
Release: 2011-10-31
Genre: Mathematics
ISBN: 1400840562

This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and Masatoshi Fukushima cover the essential elements and applications of the theory of symmetric Markov processes, including recurrence/transience criteria, probabilistic potential theory, additive functional theory, and time change theory. The authors develop the theory in a general framework of symmetric quasi-regular Dirichlet forms in a unified manner with that of regular Dirichlet forms, emphasizing the role of extended Dirichlet spaces and the rich interplay between the probabilistic and analytic aspects of the theory. Chen and Fukushima then address the latest advances in the theory, presented here for the first time in any book. Topics include the characterization of time-changed Markov processes in terms of Douglas integrals and a systematic account of reflected Dirichlet spaces, and the important roles such advances play in the boundary theory of symmetric Markov processes. This volume is an ideal resource for researchers and practitioners, and can also serve as a textbook for advanced graduate students. It includes examples, appendixes, and exercises with solutions.