Authors:
- 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)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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School of Mathematical Sciences, Beijing Normal University, Beijing, China, People's Republic
Feng-Yu Wang
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