Invariant measures for the stochastic one-dimensional compressible navier–stokes equations
File(s)
Author(s)
Coti Zelati, Michele
Glatt-Holtz, Nathan
Trivisa, Konstantina
Type
Journal Article
Abstract
We investigate the long-time behavior of solutions to a stochastically forced one-dimensional Navier–Stokes system, describing the motion of a compressible viscous fluid, in the case of linear pressure law. We prove existence of an invariant measure for the Markov process generated by strong solutions. We overcome the difficulties of working with non-Feller Markov semigroups on non-complete metric spaces by generalizing the classical Krylov–Bogoliubov method, and by providing suitable polynomial and exponential moment bounds on the solution, together with pathwise estimates.
Date Issued
2019-07-16
Date Acceptance
2019-07-01
Citation
Applied Mathematics & Optimization, 2019, 83, pp.1487-1522
ISSN
0095-4616
Publisher
Springer Science and Business Media LLC
Start Page
1487
End Page
1522
Journal / Book Title
Applied Mathematics & Optimization
Volume
83
Copyright Statement
© The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Identifier
https://link.springer.com/article/10.1007%2Fs00245-019-09594-x
Subjects
math.AP
math.AP
math.PR
physics.flu-dyn
0102 Applied Mathematics
0103 Numerical and Computational Mathematics
Applied Mathematics
Publication Status
Published
Date Publish Online
2019-07-16