Large Deviation Principle for a Two‐Time‐Scale Mckean–Vlasov Model With Jumps

ABSTRACT This work focuses 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‐timescale system, the controlled McKean–Vlasov system is related to the law of the original system, which causes difficulties in qualitative analysis. In solving this issue, 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.

Authors

Institutions

Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-01-27
DOI
https://doi.org/10.1002/mma.10740
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Large Deviation Principle for a Two‐Time‐Scale Mckean–Vlasov Model With Jumps

Yong Xu, Xiaoyu Yang
1 citations
Mathematical Methods in the Applied Sciences
Stochastic processes and financial applications
2.21
article

Large Deviation Principle for a Two‐Time‐Scale Mckean–Vlasov Model With Jumps

Yong Xu, Xiaoyu Yang
article en
1 citations

Abstract

ABSTRACT This work focuses 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‐timescale system, the controlled McKean–Vlasov system is related to the law of the original system, which causes difficulties in qualitative analysis. In solving this issue, 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.

Mathematical Methods in the Applied SciencesVol. 48(8)
Northwestern Polytechnical University (CN), Osaka Health Science University (JP), The University of Osaka (JP)
Openalex Percentile: Top 18%
Stochastic processes and financial applications
2.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.