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

28 May 2024
Matej Benko
Iwona Chlebicka
Jorgen Endal
B. Miasojedow
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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 VVV and interaction potentials WWW. The considered problem do not need to assume that ∇V\nabla V∇V or ∇W\nabla W∇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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