A new convergence proof for approximations of the Stefan problem
Robert Eymard (LAMA), Thierry Gallou\"et (I2M)

TL;DR
This paper provides a new convergence proof for approximations of the Stefan problem, applicable to both regular and irregular data, using weak formulations and compactness in Sobolev spaces.
Contribution
It introduces a novel convergence proof for Stefan problem approximations that handles irregular data through advanced functional analysis techniques.
Findings
Convergence proven for regular data cases.
Convergence proven for irregular data cases.
Uses weak formulations and Sobolev space compactness.
Abstract
We consider the Stefan problem, firstly with regular data and secondly with irregular data. In both cases is given a proof for the convergence of an approximation obtained by regularising the problem. These proofs are based on weak formulations and on compactness results in some Sobolev spaces with negative exponents.
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
TopicsNumerical methods in inverse problems · Differential Equations and Boundary Problems · Nonlinear Partial Differential Equations
