Regularity Theory and Stochastic Flows for Parabolic Spdes
Book Details
Format
Hardback or Cased Book
ISBN-10
2884490450
ISBN-13
9782884490450
Publisher
Taylor & Francis Ltd
Imprint
Taylor & Francis Ltd
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 3rd, 1995
Print length
90 Pages
Weight
413 grams
Product Classification:
Differential calculus & equationsDifferential calculus and equationsStochastics
Ksh 13,300.00
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First published in 1995. Routledge is an imprint of Taylor & Francis, an informa company.
This volume considers the regularity theory of solutions to stochastic differential equations, and the existence of stochastic flows, Regularity properties are one of the main tools for the analysis of stochastic flows, and this book aims to review and improve recent results in these related fields.
It comprises an introductory review section, followed by treatment of the problem of regularity of solutions, and an extensive study of regularity results for both homogeneous and non-homogeneous boundary value problems. Finally, the existence of stochastic flows for abstract and concrete parabolic equations in bounded domains is discussed, incorporating a novel method of transposition.
It is hoped that this volume will provide an account of regularity results that will be used as a textbook and as reference by graduate students and researchers working on probability theory and stochastic processes, and on stochastic partial differential equations.
It comprises an introductory review section, followed by treatment of the problem of regularity of solutions, and an extensive study of regularity results for both homogeneous and non-homogeneous boundary value problems. Finally, the existence of stochastic flows for abstract and concrete parabolic equations in bounded domains is discussed, incorporating a novel method of transposition.
It is hoped that this volume will provide an account of regularity results that will be used as a textbook and as reference by graduate students and researchers working on probability theory and stochastic processes, and on stochastic partial differential equations.
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