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Boundary Conditions and Subelliptic Estimates for Geometric Kramers-Fokker-Planck Operators on Manifolds with Boundaries, Francis Nier


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Автор: Francis Nier
Название:  Boundary Conditions and Subelliptic Estimates for Geometric Kramers-Fokker-Planck Operators on Manifolds with Boundaries
ISBN: 9781470428020
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1470428024
Обложка/Формат: Paperback
Страницы: 142
Вес: 0.00 кг.
Дата издания: 30.04.2018
Серия: Memoirs of the american mathematical society
Язык: English
Размер: 254 x 178
Читательская аудитория: Professional and scholarly
Ключевые слова: Differential calculus & equations
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Поставляется из: Англии
Описание: Examines the maximal accretive realizations of geometric Kramers-Fokker-Planck operators on manifolds with boundaries. A general class of boundary conditions is introduced which ensures the maximal accretivity and some global subelliptic estimates. Those estimates imply nice spectral properties as well as exponential decay properties for the associated semigroup.

Beyond the triangle: brownian motion, ito calculus, and fokker-planck equation - fractional generalizations

Автор: Umarov, Sabir (univ Of New Heaven, Usa) Hahn, Marjorie (tufts Univ, Usa) Kobayashi, Kei (fordham Univ, Usa)
Название: Beyond the triangle: brownian motion, ito calculus, and fokker-planck equation - fractional generalizations
ISBN: 9813230916 ISBN-13(EAN): 9789813230910
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: The book is devoted to the fundamental relationship between three objects: a stochastic process, stochastic differential equations driven by that process and their associated Fokker-Planck-Kolmogorov equations. This book discusses wide fractional generalizations of this fundamental triple relationship, where the driving process represents a time-changed stochastic process; the Fokker-Planck-Kolmogorov equation involves time-fractional order derivatives and spatial pseudo-differential operators; and the associated stochastic differential equation describes the stochastic behavior of the solution process. It contains recent results obtained in this direction.This book is important since the latest developments in the field, including the role of driving processes and their scaling limits, the forms of corresponding stochastic differential equations, and associated FPK equations, are systematically presented. Examples and important applications to various scientific, engineering, and economics problems make the book attractive for all interested researchers, educators, and graduate students.


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