Incompressible limits at large Mach number for a reduced compressible MHD system
Francesco Fanelli, Young-Sam Kwon, Aneta Wr\'oblewska-Kami\'nska

TL;DR
This paper investigates the incompressible limit of a reduced compressible MHD model at large Mach numbers, using compensated compactness to identify asymptotics and characterize the limiting dynamics.
Contribution
It introduces a novel analysis of the incompressible limit for a reduced MHD system, including the effects of a strong Coriolis term, with detailed asymptotic characterization.
Findings
Established the incompressible limit in the presence of ill-prepared data.
Identified the asymptotics of order O(ε) terms and their dynamics.
Extended analysis to include strong Coriolis effects.
Abstract
This paper studies a singular limit problem for a reduced model for compressible non-resistive MHD which was first introduced in \cite{Li-Sun_JDE, Li-Sun} in a two-dimensional setting. This system can also be related to a certain class of two-fluid models. By a suitable rescaling of the magnetic pressure in terms of some parameter , by letting we perform the incompressible limit while keeping the Mach number of order . The study is conducted in the framework of global in time finite energy weak solutions and for ill-prepared initial data. We also consider a similar problem in presence of a strong Coriolis term. The key ingredient of the proof, based on a compensated compactness argument, is the use of the transport equation (well-known in the context of two-fluid models) underlying the dynamics. Thanks to it, and differently from previous…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNavier-Stokes equation solutions · Gas Dynamics and Kinetic Theory · Stability and Controllability of Differential Equations
