Abstract
We show among other things how knowing Schauder or Sobolev-space estimates for the one-dimensional heat equation allows one to derive their multidimensional analogs for equations with coefficients depending only on time variable with the same constants as in the case of the one-dimensional heat equation. The method is quite general and is based on using the Poisson stochastic process. It also applies to equations involving non-local operators. It looks like no other method is available at this time and it is a very challenging problem to find a purely analytic approach to proving such results. We only give examples of applications of our results. Their proofs will appear elsewhere.
Original language | English (US) |
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Title of host publication | Stochastic Partial Differential Equations and Related Fields - In Honor of Michael Röckner SPDERF, 2016 |
Editors | Gerald Trutnau, Andreas Eberle, Walter Hoh, Moritz Kassmann, Martin Grothaus, Wilhelm Stannat |
Publisher | Springer New York LLC |
Pages | 201-211 |
Number of pages | 11 |
ISBN (Print) | 9783319749280 |
DOIs | |
State | Published - 2018 |
Event | International conference on Stochastic Partial Differential Equations and Related Fields, SPDERF 2016 - Bielefeld, Germany Duration: Oct 10 2016 → Oct 14 2016 |
Publication series
Name | Springer Proceedings in Mathematics and Statistics |
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Volume | 229 |
ISSN (Print) | 2194-1009 |
ISSN (Electronic) | 2194-1017 |
Other
Other | International conference on Stochastic Partial Differential Equations and Related Fields, SPDERF 2016 |
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Country/Territory | Germany |
City | Bielefeld |
Period | 10/10/16 → 10/14/16 |
Bibliographical note
Publisher Copyright:© Springer International Publishing AG, part of Springer Nature 2018.
Keywords
- Multidimensional parabolic equations
- Poisson process
- Schauder estimates
- Sobolev-space estimates