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Global well-posedness of 2D stochastic Burgers equations with multiplicative noise
Statistics & Probability Letters, Volume: 182, Issue: March 2022, Start page: 109315
Swansea University Author: Jiang-lun Wu
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DOI (Published version): 10.1016/j.spl.2021.109315
Abstract
In this article, we study 2D stochastic Burgers equations driven by linear multiplicative noise, and with non-periodic boundary conditions. We first apply Galerkin approximation method to show the local existence and uniqueness of strong solutions, we then establish the global well-posedness for str...
Published in: | Statistics & Probability Letters |
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ISSN: | 0167-7152 0167-7152 |
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Elsevier BV
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa58540 |
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2022-11-15T15:29:30.8861084 v2 58540 2021-11-03 Global well-posedness of 2D stochastic Burgers equations with multiplicative noise dbd67e30d59b0f32592b15b5705af885 Jiang-lun Wu Jiang-lun Wu true false 2021-11-03 In this article, we study 2D stochastic Burgers equations driven by linear multiplicative noise, and with non-periodic boundary conditions. We first apply Galerkin approximation method to show the local existence and uniqueness of strong solutions, we then establish the global well-posedness for strong solutions by utilizing the maximum principle. Journal Article Statistics & Probability Letters 182 March 2022 109315 Elsevier BV 0167-7152 0167-7152 Stochastic 2D Burgers equations; global well-posedness; Galerkin approximation; maximum principle. 1 3 2022 2022-03-01 10.1016/j.spl.2021.109315 http://dx.doi.org/10.1016/j.spl.2021.109315 COLLEGE NANME COLLEGE CODE Swansea University Other 2022-11-15T15:29:30.8861084 2021-11-03T10:37:02.0959781 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Guoli Zhou 1 Lidan Wang 0000-0002-9438-7116 2 Jiang-lun Wu 3 58540__21418__85731913439141529d4578a3ebf1f406.pdf ZhouWangWu_SPL revision.pdf 2021-11-03T10:44:57.9434237 Output 279077 application/pdf Accepted Manuscript true 2022-11-22T00:00:00.0000000 ©2021 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Global well-posedness of 2D stochastic Burgers equations with multiplicative noise |
spellingShingle |
Global well-posedness of 2D stochastic Burgers equations with multiplicative noise Jiang-lun Wu |
title_short |
Global well-posedness of 2D stochastic Burgers equations with multiplicative noise |
title_full |
Global well-posedness of 2D stochastic Burgers equations with multiplicative noise |
title_fullStr |
Global well-posedness of 2D stochastic Burgers equations with multiplicative noise |
title_full_unstemmed |
Global well-posedness of 2D stochastic Burgers equations with multiplicative noise |
title_sort |
Global well-posedness of 2D stochastic Burgers equations with multiplicative noise |
author_id_str_mv |
dbd67e30d59b0f32592b15b5705af885 |
author_id_fullname_str_mv |
dbd67e30d59b0f32592b15b5705af885_***_Jiang-lun Wu |
author |
Jiang-lun Wu |
author2 |
Guoli Zhou Lidan Wang Jiang-lun Wu |
format |
Journal article |
container_title |
Statistics & Probability Letters |
container_volume |
182 |
container_issue |
March 2022 |
container_start_page |
109315 |
publishDate |
2022 |
institution |
Swansea University |
issn |
0167-7152 0167-7152 |
doi_str_mv |
10.1016/j.spl.2021.109315 |
publisher |
Elsevier BV |
college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics |
url |
http://dx.doi.org/10.1016/j.spl.2021.109315 |
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description |
In this article, we study 2D stochastic Burgers equations driven by linear multiplicative noise, and with non-periodic boundary conditions. We first apply Galerkin approximation method to show the local existence and uniqueness of strong solutions, we then establish the global well-posedness for strong solutions by utilizing the maximum principle. |
published_date |
2022-03-01T20:07:05Z |
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1821346759515832320 |
score |
11.04748 |