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Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise
Journal of Mathematical Analysis and Applications, Volume: 514, Issue: 1, Start page: 126301
Swansea University Author: Feng-yu Wang
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©2022 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)
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DOI (Published version): 10.1016/j.jmaa.2022.126301
Abstract
By using Zvonkin's transformation and a two-step fixed point argument in distributions, the well-posedness and regularity estimates are derived for singular McKean-Vlasov SDEs with distribution dependent noise, where the drift contains a term growing linearly in space and distribution and a loc...
Published in: | Journal of Mathematical Analysis and Applications |
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ISSN: | 0022-247X |
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Elsevier BV
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa59935 |
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v2 59935 2022-05-02 Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise 6734caa6d9a388bd3bd8eb0a1131d0de Feng-yu Wang Feng-yu Wang true false 2022-05-02 By using Zvonkin's transformation and a two-step fixed point argument in distributions, the well-posedness and regularity estimates are derived for singular McKean-Vlasov SDEs with distribution dependent noise, where the drift contains a term growing linearly in space and distribution and a locally integrable term independent of distribution, while the noise coefficient is weakly differentiable in space and Lipschitz continuous in distribution with respect to the sum of Wasserstein and weighted variation distances. The main results extend existing ones derived for noise coefficients either independent of distribution, or having nice linear functional derivatives in distribution. Singular reflecting SDEs with distribution dependent noise are also studied. Journal Article Journal of Mathematical Analysis and Applications 514 1 126301 Elsevier BV 0022-247X McKean-Vlasov SDEs; Wasserstein distance; Two-step fixed point argument; Weighted variation distance 1 10 2022 2022-10-01 10.1016/j.jmaa.2022.126301 COLLEGE NANME COLLEGE CODE Swansea University Not Required 2024-07-10T12:21:12.2002538 2022-05-02T08:30:39.4487947 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Xing Huang 1 Feng-yu Wang 2 59935__23953__570840191e5e4cefb1148765cfd255e6.pdf 21HWc.pdf 2022-05-02T08:33:22.5932296 Output 319132 application/pdf Accepted Manuscript true 2023-05-04T00:00:00.0000000 ©2022 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 |
Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise |
spellingShingle |
Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise Feng-yu Wang |
title_short |
Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise |
title_full |
Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise |
title_fullStr |
Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise |
title_full_unstemmed |
Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise |
title_sort |
Singular McKean-Vlasov (reflecting) SDEs with distribution dependent noise |
author_id_str_mv |
6734caa6d9a388bd3bd8eb0a1131d0de |
author_id_fullname_str_mv |
6734caa6d9a388bd3bd8eb0a1131d0de_***_Feng-yu Wang |
author |
Feng-yu Wang |
author2 |
Xing Huang Feng-yu Wang |
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Journal article |
container_title |
Journal of Mathematical Analysis and Applications |
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514 |
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1 |
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126301 |
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2022 |
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Swansea University |
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0022-247X |
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10.1016/j.jmaa.2022.126301 |
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Elsevier BV |
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Faculty of Science and Engineering |
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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 |
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description |
By using Zvonkin's transformation and a two-step fixed point argument in distributions, the well-posedness and regularity estimates are derived for singular McKean-Vlasov SDEs with distribution dependent noise, where the drift contains a term growing linearly in space and distribution and a locally integrable term independent of distribution, while the noise coefficient is weakly differentiable in space and Lipschitz continuous in distribution with respect to the sum of Wasserstein and weighted variation distances. The main results extend existing ones derived for noise coefficients either independent of distribution, or having nice linear functional derivatives in distribution. Singular reflecting SDEs with distribution dependent noise are also studied. |
published_date |
2022-10-01T12:21:11Z |
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1804190845767778304 |
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11.037056 |