Academic Journal

Well‐posedness of stochastic heat equation with distributional drift and skew stochastic heat equation

Bibliographic Details
Title: Well‐posedness of stochastic heat equation with distributional drift and skew stochastic heat equation
Authors: Athreya, Siva, Butkovsky, Oleg, Lê, Khoa, Mytnik, Leonid
Contributors: Horizon 2020, Deutsche Forschungsgemeinschaft, Leverhulme Trust, Alexander von Humboldt-Stiftung, Israel Science Foundation
Superior Title: Communications on Pure and Applied Mathematics ; volume 77, issue 5, page 2708-2777 ; ISSN 0010-3640 1097-0312
Publisher Information: Wiley
Publication Year: 2023
Collection: Wiley Online Library (Open Access Articles via Crossref)
Subject Terms: Applied Mathematics, General Mathematics
Description: We study stochastic reaction–diffusion equation where is a generalized function in the Besov space , and is a space‐time white noise on . We introduce a notion of a solution to this equation and obtain existence and uniqueness of a strong solution whenever , and . This class includes equations with being measures, in particular, which corresponds to the skewed stochastic heat equation. For , we obtain existence of a weak solution. Our results extend the work of Bass and Chen (2001) to the framework of stochastic partial differential equations and generalize the results of Gyöngy and Pardoux (1993) to distributional drifts. To establish these results, we exploit the regularization effect of the white noise through a new strategy based on the stochastic sewing lemma introduced in Lê (2020).
Document Type: article in journal/newspaper
Language: English
DOI: 10.1002/cpa.22157
Availability: https://doi.org/10.1002/cpa.22157
Rights: http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.47891B1
Database: BASE
Description
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