Dirichlet Forms and Related Topics: In Honor of Masatoshi Fukushima’s Beiju, IWDFRT 2022, Osaka, Japan, August 22–26 (Springer Proceedings in Mathematics & Statistics, 394, Band 394) - Softcover

 
9789811946745: Dirichlet Forms and Related Topics: In Honor of Masatoshi Fukushima’s Beiju, IWDFRT 2022, Osaka, Japan, August 22–26 (Springer Proceedings in Mathematics & Statistics, 394, Band 394)
Softcover
ISBN 10: 9811946744 ISBN 13: 9789811946745
Verlag: Springer, 2023

Inhaltsangabe

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. 

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Über die Autorin bzw. den Autor

​Zhen-Qing Chen is a Professor of Mathematics at the University of Washington, Seattle. His research interests include Dirichlet form theory, stochastic analysis, heat kernels, stochastic processes in deterministic as well as random environments, and potential theory. He has published over 180 research papers and one monograph. He is a Fellow of the American Mathematical Society and a Fellow of the Institute of Mathematical Statistics. He has served in several editorial boards in mathematics. Currently, he is the Editor-in-Chief for Potential Analysis. He is a recipient of the Ito's Prize in 2019, together with Masatoshi Fukushima. 


Masayoshi Takeda is a Professor of Mathematics at the Faculty of Engineering Science, Kansai University and also a Professor emeritus at Tohoku University, Japan. His main research interests include Dirichlet forms and Markov processes. He has published over 70 scientific papers in prestigious journals and books. He has served as the scientific editor for several mathematical journals. He was awarded the 2017 MSJ Analysis Prize (the Mathematical Society of Japan). 
 
Toshihiro Uemura is a Professor of Mathematics at the Faculty of Engineering Science, Kansai University. His research interests include Dirichlet forms and Markov processes. He has published more than 30 papers in international, peer-reviewed journals. He is a member of MSJ and IMS.

Von der hinteren Coverseite

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. 

Professor Masatoshi Fukushima is well known for his fundamental contributions to the theory of Dirichlet forms andsymmetric Markov processes.

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Verlag
Springer
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
9811946744
ISBN 13 
9789811946745
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
593
Herausgeber
Chen Zhen-Qing, Takeda Masayoshi, Uemura Toshihiro
Kontakt zum Hersteller
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Deutschland

Weitere beliebte Ausgaben desselben Titels

9789811946714: Dirichlet Forms and Related Topics: In Honor of Masatoshi Fukushima’s Beiju, IWDFRT 2022, Osaka, Japan, August 22–26 (Springer Proceedings in Mathematics & Statistics, 394, Band 394)

Vorgestellte Ausgabe

ISBN 10:  981194671X ISBN 13:  9789811946714
Verlag: Springer, 2022
Hardcover