Poisson stochastic process and basic schauder and Sobolev estimates in the theory of parabolic equations (short version)

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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.

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APA

Krylov, N. V., & Priola, E. (2018). Poisson stochastic process and basic schauder and Sobolev estimates in the theory of parabolic equations (short version). In Springer Proceedings in Mathematics and Statistics (Vol. 229, pp. 201–211). Springer New York LLC. https://doi.org/10.1007/978-3-319-74929-7_10

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