March 2023 Global-in-time probabilistically strong and Markov solutions to stochastic 3D Navier–Stokes equations: Existence and nonuniqueness
Martina Hofmanová, Rongchan Zhu, Xiangchan Zhu
Author Affiliations +
Ann. Probab. 51(2): 524-579 (March 2023). DOI: 10.1214/22-AOP1607

Abstract

We are concerned with the three-dimensional incompressible Navier–Stokes equations driven by an additive stochastic forcing of trace class. First, for every divergence free initial condition in L2 we establish existence of infinitely many global-in-time probabilistically strong and analytically weak solutions, solving one of the open problems in the field. This result, in particular, implies nonuniqueness in law. Second, we prove nonuniqueness of the associated Markov processes in a suitably chosen class of analytically weak solutions satisfying a relaxed form of an energy inequality. Translated to the deterministic setting, we obtain nonuniqueness of the associated semiflows.

Funding Statement

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 949981).
The financial support by the DFG through the CRC 1283 “Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications” is greatly acknowledged.
R.Z. is grateful to the financial supports of the NSFC (No. 11922103, 12271030).
X.Z. is grateful to the financial supports in part by National Key R&D Program of China (No. 2020YFA0712700) and the NSFC (No. 12090014, 12288201) and the support by key Lab of Random Complex Structures and Data Science, Youth Innovation Promotion Association (2020003), Chinese Academy of Science.

Acknowledgments

Rongchan Zhu is the corresponding author. Rongchan Zhu is also affiliated with Beijing Key Laboratory on MCAACI, Beijing, China.

Citation

Download Citation

Martina Hofmanová. Rongchan Zhu. Xiangchan Zhu. "Global-in-time probabilistically strong and Markov solutions to stochastic 3D Navier–Stokes equations: Existence and nonuniqueness." Ann. Probab. 51 (2) 524 - 579, March 2023. https://doi.org/10.1214/22-AOP1607

Information

Received: 1 February 2022; Revised: 1 August 2022; Published: March 2023
First available in Project Euclid: 9 February 2023

MathSciNet: MR4546626
zbMATH: 1514.35317
Digital Object Identifier: 10.1214/22-AOP1607

Subjects:
Primary: 35Q30 , 35R60 , 60H15

Keywords: convex integration , Markov selection , nonuniqueness in law , probabilistically strong solutions , stochastic Navier–Stokes equations

Rights: Copyright © 2023 Institute of Mathematical Statistics

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Vol.51 • No. 2 • March 2023
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