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Stochastic Differential Equations in Infinite Dimensions: with Applications to Stochastic Partial Differential Equations

✍ Scribed by Leszek Gawarecki, Vidyadhar Mandrekar (auth.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2011
Tongue
English
Leaves
299
Series
Probability and Its Applications
Edition
1
Category
Library

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✦ Synopsis


The systematic study of existence, uniqueness, and properties of solutions to stochastic differential equations in infinite dimensions arising from practical problems characterizes this volume that is intended for graduate students and for pure and applied mathematicians, physicists, engineers, professionals working with mathematical models of finance. Major methods include compactness, coercivity, monotonicity, in a variety of set-ups. The authors emphasize the fundamental work of Gikhman and Skorokhod on the existence and uniqueness of solutions to stochastic differential equations and present its extension to infinite dimension. They also generalize the work of Khasminskii on stability and stationary distributions of solutions. New results, applications, and examples of stochastic partial differential equations are included. This clear and detailed presentation gives the basics of the infinite dimensional version of the classic books of Gikhman and Skorokhod and of Khasminskii in one concise volume that covers the main topics in infinite dimensional stochastic PDE’s. By appropriate selection of material, the volume can be adapted for a 1- or 2-semester course, and can prepare the reader for research in this rapidly expanding area.

✦ Table of Contents


Front Matter....Pages I-XVI
Front Matter....Pages 1-1
Partial Differential Equations as Equations in Infinite Dimensions....Pages 3-16
Stochastic Calculus....Pages 17-72
Stochastic Differential Equations....Pages 73-149
Solutions by Variational Method....Pages 151-184
Stochastic Differential Equations with Discontinuous Drift....Pages 185-200
Front Matter....Pages 201-201
Stability Theory for Strong and Mild Solutions....Pages 203-231
Ultimate Boundedness and Invariant Measure....Pages 233-283
Back Matter....Pages 285-291

✦ Subjects


Probability Theory and Stochastic Processes; Partial Differential Equations; Quantitative Finance; Applications of Mathematics


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