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Random Obstacle Problems [electronic resource] : École d'Été de Probabilités de Saint-Flour XLV - 2015 / by Lorenzo Zambotti.

By: Contributor(s): Material type: TextTextSeries: École d'Été de Probabilités de Saint-Flour ; 2181Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: IX, 162 p. 20 illus., 2 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319520964
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 519.2 23
LOC classification:
  • QA273.A1-274.9
  • QA274-274.9
Online resources:
Contents:
1 Introduction -- 2 The reflecting Brownian motion -- 3 Bessel processes -- 4 The stochastic heat equation -- 5 Obstacle problems -- 6 Integration by Parts Formulae -- 7 The contact set -- References.
In: Springer eBooksSummary: Studying the fine properties of solutions to Stochastic (Partial) Differential Equations with reflection at a boundary, this book begins with a discussion of classical one-dimensional diffusions as the reflecting Brownian motion, devoting a chapter to Bessel processes, and moves on to function-valued solutions to SPDEs. Inspired by the classical stochastic calculus for diffusions, which is unfortunately still unavailable in infinite dimensions, it uses integration by parts formulae on convex sets of paths in order to describe the behaviour of the solutions at the boundary and the contact set between the solution and the obstacle. The text may serve as an introduction to space-time white noise, SPDEs and monotone gradient systems. Numerous open research problems in both classical and new topics are proposed.
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1 Introduction -- 2 The reflecting Brownian motion -- 3 Bessel processes -- 4 The stochastic heat equation -- 5 Obstacle problems -- 6 Integration by Parts Formulae -- 7 The contact set -- References.

Studying the fine properties of solutions to Stochastic (Partial) Differential Equations with reflection at a boundary, this book begins with a discussion of classical one-dimensional diffusions as the reflecting Brownian motion, devoting a chapter to Bessel processes, and moves on to function-valued solutions to SPDEs. Inspired by the classical stochastic calculus for diffusions, which is unfortunately still unavailable in infinite dimensions, it uses integration by parts formulae on convex sets of paths in order to describe the behaviour of the solutions at the boundary and the contact set between the solution and the obstacle. The text may serve as an introduction to space-time white noise, SPDEs and monotone gradient systems. Numerous open research problems in both classical and new topics are proposed.

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