Volume 29, 2023
|Number of page(s)||28|
|Published online||11 January 2023|
Convergence rates for energies of interacting particles whose distribution spreads out as their number increases
Faculty of Mathematics and Physics, Kanazawa University,
2 Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
* Corresponding author: firstname.lastname@example.org
Accepted: 1 December 2022
We consider a class of particle systems which appear in various applications such as approximation theory, plasticity, potential theory and space-filling designs. The positions of the particles on the real line are described as a global minimum of an interaction energy, which consists of a nonlocal, repulsive interaction part and a confining part. Motivated by the applications, we cover non-standard scenarios in which the confining potential weakens as the number of particles increases. This results in a large area over which the particles spread out. Our aim is to approximate the particle interaction energy by a corresponding continuum interacting energy. Our main results are bounds on the corresponding energy difference and on the difference between the related potential values. We demonstrate that these bounds are useful to problems in approximation theory and plasticity. The proof of these bounds relies on convexity assumptions on the interaction and confining potentials. It combines recent advances in the literature with a new upper bound on the minimizer of the continuum interaction energy.
Mathematics Subject Classification: 74G10 / 49J45 / 26A51
Key words: Interacting particle systems / calculus of variations / asymptotic analysis
© The authors. Published by EDP Sciences, SMAI 2023
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