Convergence of Singular Limits for Multi-D Semilinear Hyperbolic Systems to Parabolic Systems
Donatella Donatelli, Pierangelo Marcati

TL;DR
This paper studies the zero-relaxation limit of multi-dimensional semilinear hyperbolic systems, demonstrating their convergence to parabolic systems through energy estimates and compensated compactness, with applications to reaction-diffusion models.
Contribution
It introduces algebraic structure conditions and dissipativity assumptions that enable rigorous analysis of the singular limit from hyperbolic to parabolic systems.
Findings
Established uniform energy estimates in epsilon
Proved convergence to parabolic systems using compensated compactness
Provided examples applying the theory to reaction-diffusion systems
Abstract
In this paper we investigate the zero-relaxation limit of the following multi-D semilinear hyperbolic system in pseudodifferential form: W_{t}(x,t) + (1/epsilon) A(x,D) W(x,t) = (1/epsilon^2) B(x,W(x,t)) + (1/epsilon) D(W(x,t)) + E(W(x,t)). We analyse the singular convergence, as epsilon tends to 0, in the case which leads to a limit system of parabolic type. The analysis is carried out by using the following steps: (i) We single out algebraic ``structure conditions'' on the full system, motivated by formal asymptotics, by some examples of discrete velocity models in kinetic theories. (ii) We deduce ``energy estimates'', uniformly in epsilon, by assuming the existence of a symmetrizer having the so called block structure and by assuming ``dissipativity conditions'' on B. (iii) We perform the convergence analysis by using generalizations of Compensated Compactness due to Tartar…
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
TopicsAdvanced Mathematical Modeling in Engineering · Stability and Controllability of Differential Equations · Nonlinear Partial Differential Equations
