GLOBAL-IN-TIME PROBABILISTICALLY STRONG AND MARKOV SOLUTIONS TO STOCHASTIC 3D NAVIER–STOKES EQUATIONS: EXISTENCE AND NONUNIQUENESS

Martina Hofmanová*, Rongchan Zhu, Xiangchan Zhu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)524-579
Number of pages56
JournalAnnals of Probability
Volume51
Issue number2
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • Markov selection
  • Stochastic Navier–Stokes equations
  • convex integration
  • nonuniqueness in law
  • probabilistically strong solutions

Fingerprint

Dive into the research topics of 'GLOBAL-IN-TIME PROBABILISTICALLY STRONG AND MARKOV SOLUTIONS TO STOCHASTIC 3D NAVIER–STOKES EQUATIONS: EXISTENCE AND NONUNIQUENESS'. Together they form a unique fingerprint.

Cite this