Indexed metadata

Uniform-in-time error estimate of the random batch method for the Cucker–Smale model

Seung-Yeal Ha, Shi Jin, Doheon Kim, Dongnam Ko

Source record

Source: Crossref

Published: Apr 29, 2021

DOI: 10.1142/s0218202521400029

Open original source ↗

Source abstract

We present a uniform-in-time (and in particle numbers as well) error estimate for the random batch method (RBM) [S. Jin, L. Li and J.-G. Liu, Random batch methods (RBM) for interacting particle systems, J. Comput. Phys. 400 (2020) 108877] to the Cucker–Smale (CS) model. The uniform-in-time error estimates of the RBM have been obtained for various interacting particle systems, when corresponding flow generates a contraction semigroup. In this paper, we derive a uniform-in-time error estimate for RBM-approximation to the CS model in which the corresponding flow does not generate contractive semigroup. To derive uniform error estimate, we use asymptotic flocking estimate of the RBM-approximated CS model which yields the decay of relative velocities to zero, at least in the order of [Formula: see text], while velocities of the original system decay exponentially. Here, [Formula: see text] is the decay rate of the communication weight with respect to the distance between particles in the CS model. We also provide several numerical simulations to confirm the analytical results.

Evidence graph

No public relationships recorded yet.

Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.

Uniform-in-time error estimate of the random batch method for the Cucker–Smale model — Mathematical Frontier Network