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

Published 28 May 2024 in math.NA, cs.NA, and stat.CO | (2405.18034v1)

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.

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