3 research outputs found
Low Mach number limit for non-isentropic magnetohydrodynamic equations with ill-prepared data and zero magnetic diffusivity in bounded domains
In this article, we verify the low Mach number limit of strong solutions to
the non-isentropic compressible magnetohydrodynamic equations with zero
magnetic diffusivity and ill-prepared initial data in three-dimensional bounded
domains, when the density and the temperature vary around constant states.
Invoking a new weighted energy functional, we establish the uniform estimates
with respect to the Mach number, especially for the spatial derivatives of high
order. Due to the vorticity-slip boundary condition of the velocity, we
decompose the uniform estimates into the part for the fast variables and the
other one for the slow variables. In particular, the weighted estimates of
highest-order spatial derivatives of the fast variables are crucial for the
uniform bounds. Finally, the low Mach number limit is justified by the strong
convergence of the density and the temperature, the divergence-free component
of the velocity, and the weak convergence of other variables. The methods in
this paper can be applied to singular limits of general hydrodynamic equations
of hyperbolic-parabolic type, including the full Navier-Stokes equations
Incompressible limit of the Ericksen-Leslie hyperbolic liquid crystal model in compressible flow
We justify the incompressible limit of the Ericksen-Leslie hyperbolic liquid
crystal model in compressible flow in the framework of classical solutions. We
first derive the uniform energy estimates on the Mach number \eps for both
the compressible system and its differential system with respect to time under
uniformly in \eps small initial data. Then, based on these uniform estimates,
we pass to the limit \eps \rightarrow 0 in the compressible system, so that
we establish the global classical solution of the incompressible system by the
compactness arguments. Moreover, we also obtain the convergence rates
associated with -norm in the case of well-prepared initial data.Comment: 49 page