Overview
- Focuses on dimension-free Harnack inequalities with applications to typical models of stochastic partial/delayed differential equations
- A useful reference for researchers and graduated students in probability theory, stochastic analysis, partial differential equations and functional analysis
- Comparing with exiting Harnack inequalities in analysis which applies only to finite-dimensional models, those introduced in the book are dimension-free and thus are efficient also in infinite dimensions?
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Harnack Inequalities for Stochastic Partial Differential Equations
Authors: Feng-Yu Wang
Series Title: SpringerBriefs in Mathematics
DOI: https://doi.org/10.1007/978-1-4614-7934-5
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Feng-Yu Wang 2013
Softcover ISBN: 978-1-4614-7933-8Published: 09 August 2013
eBook ISBN: 978-1-4614-7934-5Published: 13 August 2013
Series ISSN: 2191-8198
Series E-ISSN: 2191-8201
Edition Number: 1
Number of Pages: X, 125
Topics: Partial Differential Equations, Probability Theory and Stochastic Processes, Analysis