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

Authors :
Benko, Matej
Chlebicka, Iwona
Endal, Jørgen
Miasojedow, Błażej
Publication Year :
2024

Abstract

We study the spatially homogeneous granular medium equation \[\partial_t\mu=\rm{div}(\mu\nabla V)+\rm{div}(\mu(\nabla W \ast \mu))+\Delta\mu\,,\] within a large and natural class of the confinement potentials $V$ and interaction potentials $W$. The considered problem do not need to assume that $\nabla V$ or $\nabla W$ 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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2405.18034
Document Type :
Working Paper