Stochastic Analysis

This book accounts in 5 independent parts, recent main developments of Stochastic Analysis: Gross-Stroock Sobolev space over a Gaussian probability space; quasi-sure analysis; anticipate stochastic integrals as divergence operators; principle of transfer from ordinary differential equations to stoch...

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Bibliographic Details
Main Author: Malliavin, Paul
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1997, 1997
Edition:1st ed. 1997
Series:Grundlehren der mathematischen Wissenschaften, A Series of Comprehensive Studies in Mathematics
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Stochastic Analysis  |h Elektronische Ressource  |c by Paul Malliavin 
250 |a 1st ed. 1997 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 1997, 1997 
300 |a XII, 347 p  |b online resource 
505 0 |a Contents: Part I. Differential Calculus on Gaussian Probability Spaces -- Ch. 1 Gaussian probability spaces -- Ch. 2 Gross-Stroock Sobolev Spaces over a Gaussian Probability Space -- Ch. 3 Smoothness of Laws -- Part II. Quasi-Sure Analysis -- Ch. 4 Foundations of Quasi-Sure Analysis: Hierarchy of Capacities and Precise Gaussian Probability Space -- Ch. 5 Differential Geometry on a Precise Gaussian Probability Space -- Part III. Stochastic Integrals -- Ch. 6 White Noise Stochastic Integrals as Divergence -- Ch. 7 Ito's Theory of Stochastic Integration -- Part IV. Stochastic Differential Equations -- Ch. 8 From Ordinary Differential Equations to Stochastic Flow: The Transfer Principle -- Ch. 9 Elliptic Estimates through Stochastic Analysis -- Part V. Stochastic Analysis in Infinite Dimensions -- Ch. 10 Stochastic Analysis on Wiener Spaces -- Ch. 11 Path Spaces and their Tangent Spaces -- Index -- Bibliography 
653 |a Probability Theory 
653 |a Probabilities 
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490 0 |a Grundlehren der mathematischen Wissenschaften, A Series of Comprehensive Studies in Mathematics 
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520 |a This book accounts in 5 independent parts, recent main developments of Stochastic Analysis: Gross-Stroock Sobolev space over a Gaussian probability space; quasi-sure analysis; anticipate stochastic integrals as divergence operators; principle of transfer from ordinary differential equations to stochastic differential equations; Malliavin calculus and elliptic estimates; stochastic Analysis in infinite dimension