English

Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations

Numerical Analysis 2025-12-01 v2 Numerical Analysis Computation

Abstract

We study the spatially homogeneous granular medium equation tμ=div(μV)+div(μ(Wμ))+Δμ,\partial_t\mu=\rm{div}(\mu\nabla V)+\rm{div}(\mu(\nabla W \ast \mu))+\Delta\mu\,, within a large and natural class of the confinement potentials VV and interaction potentials WW. The considered problem do not need to assume that V\nabla V or W\nabla W are globally Lipschitz. With the aim of providing particle approximation of solutions, we design efficient forward-backward splitting algorithms. Sharp convergence rates in terms of the Wasserstein distance are provided.

Keywords

Cite

@article{arxiv.2405.18034,
  title  = {Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations},
  author = {Matej Benko and Iwona Chlebicka and Jørgen Endal and Błażej Miasojedow},
  journal= {arXiv preprint arXiv:2405.18034},
  year   = {2025}
}