Convergence rates of particle approximation of forward-backward splitting algorithm for granular medium equations
Abstract
We study the spatially homogeneous granular medium equation \[∂tμ=div(μ∇ V)+div(μ(∇ W μ))+μ\,,\] within a large and natural class of the confinement potentials V and interaction potentials W. The considered problem do not need to assume that ∇ V or ∇ 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.
0
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.