Large deviation principle for a two-time-scale McKean-Vlasov model with jumps

Fuente: arXiv
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Main Authors: Yang, Xiaoyu, Xu, Yong
Format: Preprint
Published: 2024
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author Yang, Xiaoyu
Xu, Yong
author_facet Yang, Xiaoyu
Xu, Yong
contents This work focus on the large deviation principle for a two-time scale McKean-Vlasov system with jumps. Based on the variational framework of the McKean-Vlasov system with jumps, it is turned into weak convergence for the controlled system. Unlike general two-time scale system, the controlled McKean-Vlasov system is related to the law of the original system, which causes difficulties in qualitative analysis. In solving this problem, employing asymptotics of the original system and a Khasminskii-type averaging principle together is efficient. Finally, it is shown that the limit is related to the Dirac measure of the solution to the ordinary differential equation.
format Preprint
id arxiv_https___arxiv_org_abs_2401_00671
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Large deviation principle for a two-time-scale McKean-Vlasov model with jumps
Yang, Xiaoyu
Xu, Yong
Probability
This work focus on the large deviation principle for a two-time scale McKean-Vlasov system with jumps. Based on the variational framework of the McKean-Vlasov system with jumps, it is turned into weak convergence for the controlled system. Unlike general two-time scale system, the controlled McKean-Vlasov system is related to the law of the original system, which causes difficulties in qualitative analysis. In solving this problem, employing asymptotics of the original system and a Khasminskii-type averaging principle together is efficient. Finally, it is shown that the limit is related to the Dirac measure of the solution to the ordinary differential equation.
title Large deviation principle for a two-time-scale McKean-Vlasov model with jumps
topic Probability
url https://arxiv.org/abs/2401.00671