Navier-Stokes System

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Akitaka Matsumura - One of the best experts on this subject based on the ideXlab platform.

Jing Li - One of the best experts on this subject based on the ideXlab platform.

Feimin Huang - One of the best experts on this subject based on the ideXlab platform.

Eduard Feireisl - One of the best experts on this subject based on the ideXlab platform.

  • Homogenization of the evolutionary Navier-Stokes System
    Manuscripta Mathematica, 2020
    Co-Authors: Eduard Feireisl, Yuliya Namlyeyeva, Šárka Nečasová
    Abstract:

    We study the homogenization problem for the evolutionary Navier–Stokes System under the critical size of obstacles. Convergence towards the limit System of Brinkman’s type is shown under very mild assumptions concerning the shape of the obstacles and their mutual distance.

  • Statistical Solutions to the Barotropic Navier–Stokes System
    Journal of Statistical Physics, 2020
    Co-Authors: Francesco Fanelli, Eduard Feireisl
    Abstract:

    We introduce a new concept of statistical solution in the framework of weak solutions to the barotropic Navier–Stokes System with inhomogeneous boundary conditions. Statistical solution is a family $$\{ M_t \}_{t \ge 0}$$ { M t } t ≥ 0 of Markov operators on the set of probability measures $$\mathfrak {P}[\mathcal {D}]$$ P [ D ] on the data space $$\mathcal {D}$$ D containing the initial data $$[\varrho _0, \mathbf{m}_0]$$ [ ϱ 0 , m 0 ] and the boundary data $$\mathbf{d}_B$$ d B . $$\{ M_t \}_{t \ge 0}$$ { M t } t ≥ 0 possesses a.a. semigroup property, $$\begin{aligned} M_{t + s}(\nu ) = M_t \circ M_s(\nu ) \ \text{ for } \text{ any }\ t \ge 0, \ \text{ a.a. }\ s \ge 0, \ \text{ and } \text{ any }\ \nu \in \mathfrak {P}[\mathcal {D}]. \end{aligned}$$ M t + s ( ν ) = M t ∘ M s ( ν ) for any t ≥ 0 , a.a. s ≥ 0 , and any ν ∈ P [ D ] . $$\{ M_t \}_{t \ge 0}$$ { M t } t ≥ 0 is deterministic when restricted to deterministic data, specifically $$\begin{aligned} M_t( \delta _{[\varrho _0, \mathbf{m}_0, \mathbf{d}_B]}) = \delta _{[\varrho (t, \cdot ), \mathbf{m}(t, \cdot ), \mathbf{d}_B]},\ t \ge 0, \end{aligned}$$ M t ( δ [ ϱ 0 , m 0 , d B ] ) = δ [ ϱ ( t , · ) , m ( t , · ) , d B ] , t ≥ 0 , where $$[\varrho , \mathbf{m}]$$ [ ϱ , m ] is a finite energy weak solution of the Navier–Stokes System corresponding to the data $$[\varrho _0, \mathbf{m}_0, \mathbf{d}_B] \in \mathcal {D}$$ [ ϱ 0 , m 0 , d B ] ∈ D . $$M_t: \mathfrak {P}[\mathcal {D}] \rightarrow \mathfrak {P}[\mathcal {D}]$$ M t : P [ D ] → P [ D ] is continuous in a suitable Bregman–Wasserstein metric at measures supported by the data giving rise to regular solutions.

  • Statistical solutions to the barotropic Navier-Stokes System
    arXiv: Analysis of PDEs, 2020
    Co-Authors: Francesco Fanelli, Eduard Feireisl
    Abstract:

    We introduce a new concept of statistical solution in the framework of weak solutions to the barotropic Navier--Stokes System with inhomogeneous boundary conditions. Statistical solution is a family $\{ M_t \}_{t \geq 0}$ of Markov operators on the set of probability measures $\mathfrak{P}[\mathcal{D}]$ on the data space $\mathcal{D}$ containing the initial data $[\varrho_0, \mathbf{m}_0]$ and the boundary data $\mathbf{d}_B$. (1) $\{ M_t \}_{t \geq 0}$ possesses a.a. semigroup property, $ M_{t + s}(\nu) = M_t \circ M_s(\nu)$ for any $t \geq 0$, a.a. $s \geq 0$, and any $\nu \in \mathfrak{P}[\mathcal{D}]$. (2) $\{ M_t \}_{t \geq 0}$ is deterministic when restricted to deterministic data, specifically $ M_t(\delta_{[\varrho_0, \mathbf{m}_0, \mathbf{d}_B]}) = \delta_{[\varrho(t, \cdot), \mathbf{m}(t, \cdot), \mathbf{d}_B]}, $ where $[\varrho, \mathbf{m}]$ is a finite energy weak solution of the Navier--Stokes System corresponding to the data $[\varrho_0, \mathbf{m}_0, \mathbf{d}_B] \in \mathcal{D}$. (3) $M_t: \mathfrak{P}[\mathcal{D}] \to \mathfrak{P}[\mathcal{D}]$ is continuous in a suitable Bregman--Wasserstein metric at measures supported by the data giving rise to regular solutions.

  • Markov selection for the stochastic compressible Navier--Stokes System
    arXiv: Probability, 2018
    Co-Authors: Dominic Breit, Eduard Feireisl, Martina Hofmanová
    Abstract:

    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 [F. Flandoli, M. Romito: Markov selections for the 3D stochastic Navier--Stokes equations. Probab. Theory Relat. Fields 140, 407--458. (2008)]. 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.

  • Stationary solutions to the compressible Navier–Stokes System with general boundary conditions
    Annales de l'Institut Henri Poincaré C Analyse non linéaire, 2018
    Co-Authors: Eduard Feireisl, Antonín Novotný
    Abstract:

    Abstract We consider the stationary compressible Navier–Stokes System supplemented with general inhomogeneous boundary conditions. Assuming the pressure to be given by the standard hard sphere EOS we show existence of weak solutions for arbitrarily large boundary data.

Antonín Novotný - One of the best experts on this subject based on the ideXlab platform.