English

Stochastic Stefan problem on moving hypersurfaces: an approach by a new framework of nonhomogeneous monotonicity

Probability 2025-03-05 v1 Analysis of PDEs

Abstract

The purpose of this paper is to establish the well-posedness of the stochastic Stefan problem on moving hypersurfaces. Through a specially designed transformation, it turns out we need to solve stochastic partial differential equations on a fixed hypersurface with a new kind of nonhomogeneous monotonicity involving a family of time-dependent operators. This new class of SPDEs is of independent interest and can also be applied to solve many other interesting models such as the stochastic pp-Laplacian equations, stochastic Allen-Cahn equation and stochastic heat equations on time-dependent domains or hypersurfaces. (Monotone) Operator-valued calculus and geometric analysis of moving hypersurfaces play important roles in the study. Moreover, a forthcoming result on the well-posedness of stochastic 2D Navier-Stokes equation on moving domains is also based on our framework.

Keywords

Cite

@article{arxiv.2503.02314,
  title  = {Stochastic Stefan problem on moving hypersurfaces: an approach by a new framework of nonhomogeneous monotonicity},
  author = {Tianyi Pan and Wei Wang and Jianliang Zhai and Tusheng Zhang},
  journal= {arXiv preprint arXiv:2503.02314},
  year   = {2025}
}

Comments

43pages