Global solutions to the generalized Leray-\(\alpha\) system with non-\(L^2(\mathbb{R}^n)\) initial data
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Publication:785370
DOI10.1007/s10884-019-09787-6zbMath1440.76024OpenAlexW2972135910MaRDI QIDQ785370
Publication date: 6 August 2020
Published in: Journal of Dynamics and Differential Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10884-019-09787-6
PDEs in connection with fluid mechanics (35Q35) Navier-Stokes equations for incompressible viscous fluids (76D05) Uniqueness problems for PDEs: global uniqueness, local uniqueness, non-uniqueness (35A02)
Cites Work
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- Global solutions to the generalized Leray-alpha equation with mixed dissipation terms
- On the global regularity of generalized Leray-alpha type models
- Global well-posedness for inhomogeneous Navier-Stokes equations with logarithmical hyper-dissipation
- Strong \(L^ p\)-solutions of the Navier-Stokes equation in \(R^ m\), with applications to weak solutions
- Lower bounds for an integral involving fractional Laplacians and the generalized Navier-Stokes equations in Besov spaces
- Global regularity for a logarithmically supercritical hyperdissipative Navier-Stokes equation
- The Navier-Stokes equation for an incompressible fluid in \(\mathbb{R}^ 2\) with a measure as the initial vorticity
- On global infinite energy solutions to the Navier-Stokes equations in two dimensions
- Existence of Weak Solutions for the Navier-Stokes Equations with Initial Data in L p
- Estimates for the LANS-$\alpha$, Leray-$\alpha$ and Bardina models in terms of a Navier-Stokes Reynolds number
- Global well–posedness for the Lagrangian averaged Navier–Stokes (LANS–α) equations on bounded domains
- Local and Global low-regularity solutions to the Generalized Leray-alpha equations
- Well-posedness for the Navier-Stokes equations
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