2018
DOI: 10.1515/9783110492552
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Stochastically Forced Compressible Fluid Flows

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Cited by 80 publications
(102 citation statements)
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“…For the proof of Theorem 2.1 one can follow the ideas in e.g. [2][3][4]16,19,29,48] by constructing a sequence of approximations for a problem with cut-off for the W 1,∞ -norm. Such a cut-off implies at-most linear growth of u and guarantees the global existence of an approximate solution.…”
Section: Main Results and Remarksmentioning
confidence: 99%
See 1 more Smart Citation
“…For the proof of Theorem 2.1 one can follow the ideas in e.g. [2][3][4]16,19,29,48] by constructing a sequence of approximations for a problem with cut-off for the W 1,∞ -norm. Such a cut-off implies at-most linear growth of u and guarantees the global existence of an approximate solution.…”
Section: Main Results and Remarksmentioning
confidence: 99%
“…This will be essential to pass to the limit when establishing the existence of a martingale solution as an intermediate step, cf. [3,48,49]. • The uniform-in-time assumption (2.2) bounds the growth of the L 2 (U ; H s )-norm of the noise coefficient in terms of a product of a nonlinear function of the W 1,∞ -norm and the H s -norm.…”
Section: Assumptionsmentioning
confidence: 99%
“…Remark 2.1 We remark here that F 3 (u) in (1.6) will disappear when k = 1. The proof for Theorem 2.1 combines the techniques as employed in the papers [3][4][5]18,20,29,58]. However, the Faedo-Galerkin method used e.g.…”
Section: Resultsmentioning
confidence: 99%
“…In order to find an appropriate notion of renormalized solutions to (1), we prove an Itô formula in the L 1 -framework. We remark that the combined Itô chain and product rule from [10], Appendix A4 does not apply to our situation for two reasons. Firstly, we take the bouded domain D ⊂ R d into account in our regularizing procedure by adding a cutoff function (see Appendix, Subsection 9.1).…”
Section: Contraction Principlementioning
confidence: 99%
“…Evolution equations of p-Laplace type may appear as continuity equations in the study of gases flowing in pipes of uniform cross sectional areas and in models of filtration of an incompressible fluid through a porous medium (see [3,14]): In the case of a turbulent regime, a nonlinear version of the Darcy law of p-power law type for 1 < p < 2 is more appropriate (see [14]). Turbulence is often associated with the presence of randomness (see [10] and the references therein). Adding random influences to the model, we also take uncertainties and multiscale interactions into account.…”
Section: 1mentioning
confidence: 99%