{"title":"Stationary solutions to stochastic 3D Euler equations in Hölder space","authors":"Lin Lü, Rongchan Zhu","doi":"10.1016/j.spa.2024.104465","DOIUrl":null,"url":null,"abstract":"<div><p>We establish the existence of infinitely many global and stationary solutions in <span><math><mrow><mi>C</mi><mrow><mo>(</mo><mi>R</mi><mo>,</mo><msup><mrow><mi>C</mi></mrow><mrow><mi>ϑ</mi></mrow></msup><mo>)</mo></mrow></mrow></math></span> space for some <span><math><mrow><mi>ϑ</mi><mo>></mo><mn>0</mn></mrow></math></span> to the three-dimensional Euler equations driven by an additive stochastic forcing. The result is based on a new stochastic version of the convex integration method, incorporating the stochastic convex integration method developed in Hofmanová et al. (2022) and pathwise estimates to derive uniform moment estimates independent of time.</p></div>","PeriodicalId":51160,"journal":{"name":"Stochastic Processes and their Applications","volume":"177 ","pages":"Article 104465"},"PeriodicalIF":1.1000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Processes and their Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304414924001716","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
We establish the existence of infinitely many global and stationary solutions in space for some to the three-dimensional Euler equations driven by an additive stochastic forcing. The result is based on a new stochastic version of the convex integration method, incorporating the stochastic convex integration method developed in Hofmanová et al. (2022) and pathwise estimates to derive uniform moment estimates independent of time.
期刊介绍:
Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.
Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.