Uniform-in-time error estimate of the random batch method for the Cucker–Smale model
- Authors
- Ha, Seung-Yeal; Jin, Shi; Kim, Doheon; Ko, Dongnam
- Issue Date
- Jun-2021
- Publisher
- World Scientific Publishing Co
- Keywords
- Consensus; interacting particle system; random batch
- Citation
- Mathematical Models and Methods in Applied Sciences, v.31, no.6, pp 1099 - 1135
- Pages
- 37
- Indexed
- SCIE
SCOPUS
- Journal Title
- Mathematical Models and Methods in Applied Sciences
- Volume
- 31
- Number
- 6
- Start Page
- 1099
- End Page
- 1135
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114127
- DOI
- 10.1142/S0218202521400029
- ISSN
- 0218-2025
1793-6314
- 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 exp(-Ct1-β), while velocities of the original system decay exponentially. Here, β [0, 1) 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. © 2021 World Scientific Publishing Company.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > ERICA 수리데이터사이언스학과 > 1. Journal Articles

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.