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Global well-posedness and large deviations for 3D stochastic Burgers equations

Rangrang Zhang, Guoli Zhou, Boling Guo, Jiang-lun Wu Orcid Logo

Zeitschrift für angewandte Mathematik und Physik, Volume: 71, Issue: 1

Swansea University Author: Jiang-lun Wu Orcid Logo

Abstract

In this paper, we study the stochastic vector-valued Burgers equations with non − periodic boundary conditions. We first apply a contraction principle argument to show local existence and uniqueness of a mild solution to this model. Then, towards obtaining the global well-posedness, we derive a prio...

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Published in: Zeitschrift für angewandte Mathematik und Physik
ISSN: 0044-2275 1420-9039
Published: Springer Science and Business Media LLC 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa53378
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Abstract: In this paper, we study the stochastic vector-valued Burgers equations with non − periodic boundary conditions. We first apply a contraction principle argument to show local existence and uniqueness of a mild solution to this model. Then, towards obtaining the global well-posedness, we derive a priori estimates of the local solution by utilising the maximum principle. Finally, we establish, by means of the weak convergence approach, the Freidlin-Wentzell type large deviation principle for 3D stochastic Burgers equations when the noise term goes to zero.
Keywords: 3D stochastic Burgers equations; global well-posedness; the Freidlin-Wentzell type large deviation principle.
Issue: 1