A scaling limit for the stochastic mSQG equations with multiplicative transport noises

Author:

Luo Dejun12,Saal Martin3

Affiliation:

1. Key Laboratory of RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, P. R. China

2. School of Mathematical Sciences, University of the Chinese Academy of Sciences, Beijing 100049, P. R. China

3. Department of Mathematics, TU Darmstadt, Schlossgartenstr. 7, 64289 Darmstadt, Germany

Abstract

We consider on the 2D torus the modified Surface Quasi-Geostrophic (mSQG) equation with [Formula: see text]-initial data and perturbed by multiplicative transport noise. Under a suitable scaling of the noises, we show that the solutions converge weakly to the unique solution of the dissipative mSQG equation.

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

World Scientific Pub Co Pte Lt

Subject

Modelling and Simulation

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Quantitative convergence rates for scaling limit of SPDEs with transport noise;Journal of Differential Equations;2024-06

2. Introduction;SpringerBriefs in Mathematics;2024

3. Enhanced Dissipation for Stochastic Navier–Stokes Equations with Transport Noise;Journal of Dynamics and Differential Equations;2023-09-15

4. Existence and uniqueness of maximal solutions to SPDEs with applications to viscous fluid equations;Stochastics and Partial Differential Equations: Analysis and Computations;2023-07-06

5. LDP and CLT for SPDEs with transport noise;Stochastics and Partial Differential Equations: Analysis and Computations;2023-03-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3