Abstract

We investigate the well posedness of the stochastic Navier–Stokes equations for viscous, compressible, non-isentropic fluids. The global existence of finite-energy weak martingale solutions for large initial data within a bounded domain of mathbb {R}^d is established under the condition that the adiabatic exponent gamma > d/2. The flow is driven by a stochastic forcing of multiplicative type, white in time and colored in space. This work extends recent results on the isentropic case, the main contribution being to address the issues which arise from coupling with the temperature equation. The notion of solution and corresponding compactness analysis can be viewed as a stochastic counterpart to the work of Feireisl (Dynamics of viscous compressible fluids, vol 26. Oxford University Press, Oxford, 2004).

Highlights

  • The proof of Lemma 2.1 uses the method of Mellet/Vasseur [13], but tracking a bit more carefully the dependence of the estimate on |g|Lγ

  • Applying Lemma 2.1 with β = (3 − σ )/2 and arguing as in the last section, we find that: E

  • Applying (4.15) and Lemma 4.3, we find that lim sup P

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Summary

Governing equations

This paper is devoted to the analysis of the initial boundary value problem for the stochastic Navier–Stokes equations for non-isentropic, compressible fluids. The first result is due to [8], which used a deterministic approach in the case where the coefficients σk are independent of the fluid variables. In this setting, one can make a convenient change of variables which turns the SPDE into a random PDE. Three sets of authors [3,14,17] studied independently the case of more general noise coefficients, establishing the existence of global martingale solutions to (1.1) in the barotropic regime. We turn to a more precise statement of our results

Hypotheses
Notion of solution
Main result
Outline
Notation
Formal energy estimates
Estimates for the total energy
Further bounds on the temperature
Machinery from the deterministic theory
A classical SPDE result
Conclusion of the proof
The following convergences hold pointwise on δ:
Preliminary identification step
Strong convergence of the density
Some further estimates
Strong convergence of the temperature
Defining the limiting temperature: renormalized limits
Random variables on topological spaces and the Skorohod theorem
Series of one-dimensional stochastic integrals
Weak convergence upgrades
Some tools from the deterministic compressible theory
A weighted Poincare inequality
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