Markov selection for the stochastic compressible Navier–Stokes system

Dominic Breit, Eduard Feireisl, Martina Hofmanová

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
35 Downloads (Pure)


We analyze the Markov property of solutions to the compressible Navier–Stokes system perturbed by a general multiplicative stochastic forcing. We show the existence of an almost sure Markov selection to the associated martingale problem. Our proof is based on the abstract framework introduced in Flandoli and Romito (Probab. Theory Related Fields 40 (2008) 407–458). A major difficulty arises from the fact, different from the incompressible case, that the velocity field is not continuous in time. In addition, it cannot be recovered from the variables whose time evolution is described by the Navier–Stokes system, namely, the density and the momentum. We overcome this issue by introducing an auxiliary variable into the Markov selection procedure.
Original languageEnglish
Pages (from-to)2547-2572
Number of pages26
JournalAnnals of Applied Probability
Issue number6
Early online date14 Dec 2020
Publication statusPublished - Dec 2020


Dive into the research topics of 'Markov selection for the stochastic compressible Navier–Stokes system'. Together they form a unique fingerprint.

Cite this