Diffusion Processes and their Sample Paths (Classics in Mathematics). This item is unavailable.
Language: English
Published by Springer, 1996
- Softcover
- New

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Condition: New
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Item description from seller
In English.
Seller Inventory # ria9783540606291_new
- Title
- Diffusion Processes and their Sample Paths (Classics in Mathematics)
- Author
- Itô, Kiyosi; McKean, Henry P. Jr.
- Publisher
- Springer
- Publication year
- 1996
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3540606297
- ISBN 13
- 9783540606291
- Item weight
- 609 grams
"Synopsis" may belong to another edition of this title.
About the Author
Biography of Kiyosi Itô
Kiyosi Itô was born on September 7, 1915, in Kuwana, Japan. After his undergraduate and doctoral studies at Tokyo University, he was associate professor at Nagoya University before joining the faculty of Kyoto University in 1952. He has remained there ever since and is now Professor Emeritus, but has also spent several years at each of Stanford, Aarhus and Cornell Universities and the University of Minnesota.
Itô's fundamental contributions to probability theory, especially the creation of stochastic differential and integral calculus and of excursion theory, form a cornerstone of this field. They have led to a profound understanding of the infinitesimal development of Markovian sample paths, and also of applied problems and phenomena associated with the planning, control and optimization of engineering and other random systems.
Professor Itô has been the inspirer and teacher of an entire generation of Japanese probabilists.
Biography of Henry McKean
Henry McKean was born on December 14, 1930, in Wenham, Massachusetts. He studied mathematics at Dartmouth College, Cambridge University, and Princeton University; he received his degree from the last in 1955. He has held professional positions at Kyoto University, MIT, Rockefeller University, Weizmann Institute, Balliol College, Oxford, and the Courant Institute of Mathematical Sciences (1969 to present). His main interests are probability, Hamiltonian mechanics, complex function theory, and nonlinear partial differential equations.
"About the title" may belong to another edition of this title.