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Stochastic partial differential equa...

Pardoux, E.

Stochastic partial differential equationsan introduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stochastic partial differential equationsby Etienne Pardoux.
Reminder of title:	an introduction /
Author:	Pardoux, E.
Published:	Cham :Springer International Publishing :2021.
Description:	viii, 74 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Stochastic partial differential equations.
Online resource:	https://doi.org/10.1007/978-3-030-89003-2
ISBN:	9783030890032$q(electronic bk.)

Stochastic partial differential equationsan introduction /
Pardoux, E.

Stochastic partial differential equationsan introduction /[electronic resource] :by Etienne Pardoux. - Cham :Springer International Publishing :2021. - viii, 74 p. :ill., digital ;24 cm. - SpringerBriefs in mathematics,2191-8201. - SpringerBriefs in mathematics..

-1. Introduction and Motivation -- 2. SPDEs as Infinite-Dimensional SDEs -- 3. SPDEs Driven By Space-Time White Noise -- References -- Index.

This book gives a concise introduction to the classical theory of stochastic partial differential equations (SPDEs) It begins by describing the classes of equations which are studied later in the book, together with a list of motivating examples of SPDEs which are used in physics, population dynamics, neurophysiology, finance and signal processing. The central part of the book studies SPDEs as infinite-dimensional SDEs, based on the variational approach to PDEs. This extends both the classical Itô formulation and the martingale problem approach due to Stroock and Varadhan. The final chapter considers the solution of a space-time white noise-driven SPDE as a real-valued function of time and (one-dimensional) space. The results of J. Walsh's St Flour notes on the existence, uniqueness and Holder regularity of the solution are presented. In addition, conditions are given under which the solution remains nonnegative, and the Malliavin calculus is applied. Lastly, reflected SPDEs and their connection with super Brownian motion are considered. At a time when new sophisticated branches of the subject are being developed, this book will be a welcome reference on classical SPDEs for newcomers to the theory.

ISBN: 9783030890032$q(electronic bk.)

Standard No.: 10.1007/978-3-030-89003-2doiSubjects--Topical Terms:

199002
Stochastic partial differential equations.

LC Class. No.: QA274.25 / .P37 2021

Dewey Class. No.: 519.2

Stochastic partial differential equationsan introduction /
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245 1 0 $a Stochastic partial differential equations $h [electronic resource] : $b an introduction / $c by Etienne Pardoux.
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300 $a viii, 74 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in mathematics, $x 2191-8201
505 0 $a -1. Introduction and Motivation -- 2. SPDEs as Infinite-Dimensional SDEs -- 3. SPDEs Driven By Space-Time White Noise -- References -- Index.
520 $a This book gives a concise introduction to the classical theory of stochastic partial differential equations (SPDEs) It begins by describing the classes of equations which are studied later in the book, together with a list of motivating examples of SPDEs which are used in physics, population dynamics, neurophysiology, finance and signal processing. The central part of the book studies SPDEs as infinite-dimensional SDEs, based on the variational approach to PDEs. This extends both the classical Itô formulation and the martingale problem approach due to Stroock and Varadhan. The final chapter considers the solution of a space-time white noise-driven SPDE as a real-valued function of time and (one-dimensional) space. The results of J. Walsh's St Flour notes on the existence, uniqueness and Holder regularity of the solution are presented. In addition, conditions are given under which the solution remains nonnegative, and the Malliavin calculus is applied. Lastly, reflected SPDEs and their connection with super Brownian motion are considered. At a time when new sophisticated branches of the subject are being developed, this book will be a welcome reference on classical SPDEs for newcomers to the theory.
650 0 $a Stochastic partial differential equations. $3 199002
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