Harnack Inequalities for Stochastic Partial Differential Equations
β Scribed by Feng-Yu Wang (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2013
- Tongue
- English
- Leaves
- 135
- Series
- SpringerBriefs in Mathematics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
βIn this book the author presents a self-contained account of Harnack inequalities and applications for the semigroup of solutions to stochastic partial and delayed differential equations. Since the semigroup refers to Fokker-Planck equations on infinite-dimensional spaces, the Harnack inequalities the author investigates are dimension-free. This is an essentially different point from the above mentioned classical Harnack inequalities. Moreover, the main tool in the study is a new coupling method (called coupling by change of measures) rather than the usual maximum principle in the current literature.
β¦ Table of Contents
Front Matter....Pages i-x
A General Theory of Dimension-Free Harnack Inequalities....Pages 1-26
Nonlinear Monotone Stochastic Partial Differential Equations....Pages 27-50
Semilinear Stochastic Partial Differential Equations....Pages 51-77
Stochastic Functional (Partial) Differential Equations....Pages 79-118
Back Matter....Pages 119-125
β¦ Subjects
Partial Differential Equations; Probability Theory and Stochastic Processes; Analysis
π SIMILAR VOLUMES
Rigorous error estimates for amplitude equations are well known for deterministic PDEs, and there is a large body of literature over the past two decades. However, there seems to be a lack of literature for stochastic equations, although the theory is being successfully used in the applied community
Rigorous error estimates for amplitude equations are well known for deterministic PDEs, and there is a large body of literature over the past two decades. However, there seems to be a lack of literature for stochastic equations, although the theory is being successfully used in the applied community
Stochastic partial differential equations can be used in many areas of science to model complex systems evolving over time. This book assembles together some of the world's best known authorities on stochastic partial differential equations. Subjects include the stochastic Navier-Stokes equation, cr
Stochastic partial differential equations can be used in many areas of science to model complex systems evolving over time. This book assembles together some of the world's best known authorities on stochastic partial differential equations. Subjects include the stochastic Navier-Stokes equation, cr