Brzezniak, Zdzislaw orcid.org/0000-0001-8731-6523, Hausenblas, Erika and Razafimandimby, Paul (2019) Some results on the penalised nematic liquid crystals driven by multiplicative noise:weak solution and maximum principle Stochastics and Partial Differential Equations: Analysis and Computations. Stochastic Partial Differential Equations: Analysis and Computations. ISSN 2194-041X
Abstract
In this paper, we prove several mathematical results related to a system of highly nonlinear stochastic partial differential equations (PDEs). These stochastic equations describe the dynamics of penalised nematic liquid crystals under the influence of stochastic external forces. Firstly, we prove the existence of a global weak solution (in the sense of both stochastic analysis and PDEs). Secondly, we show the pathwise uniqueness of the solution in a 2D domain. In contrast to several works in the deterministic setting we replace the Ginzburg-Landau function $\mathds{1}_{\lvert \d\rvert \le 1}(\lvert \d\rvert^2-1)\d$ by an appropriate polynomial $f(\d)$ and we give sufficient conditions on the polynomial $f$ for these two results to hold. Our third result is a maximum principle type theorem. More precisely, if we consider $f(\d)=\mathds{1}_{\lvert d\rvert \le 1}(\lvert \d\rvert^2-1)\d$ and if the initial condition $\d_0$ satisfies $\lvert \d_0\rvert\le 1$, then the solution $\d$ also remains in the unit ball.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2019 |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Mathematics (York) |
Depositing User: | Pure (York) |
Date Deposited: | 13 Nov 2018 17:20 |
Last Modified: | 16 Oct 2024 15:15 |
Status: | Published online |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:138633 |
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Filename: Brze_niak2019_Article_SomeResultsOnThePenalisedNemat.pdf
Description: Some results on the penalised nematic liquid crystals driven by multiplicative noise: weak solution and maximum principle