The LDP of McKean-Vlasov stochastic differential equations with H\"{o}lder continuous conditions and integrable conditions
Hao Wu, Junhao Hu, Chenggui Yuan

TL;DR
This paper establishes the large deviation principle for both non-degenerate and degenerate McKean-Vlasov stochastic differential equations with H"{o}lder continuous drifts, introducing a new rate function definition and addressing multiple solutions in the skeleton equation.
Contribution
It extends LDP results to MVSDEs with H"{o}lder continuous drifts, including degenerate cases, and proposes a novel rate function applicable under weaker conditions.
Findings
LDP holds for non-degenerate MVSDEs with H"{o}lder drifts
LDP established for degenerate MVSDEs with H"{o}lder drifts
A new rate function reduces to the traditional one under Lipschitz conditions
Abstract
In this paper, we first study the large deviation principle (LDP) for non-degenerate McKean-Vlasov stochastic differential equations (MVSDEs) with H\"{o}lder continuous drifts by using Zvonkin's transformation. When the drift only satisfies H\"{o}lder condition, the skeleton equation may have multiple solutions. Among these solutions, we find one that ensures the MVSDEs satisfy the LDP. Moreover, we introduce a new definition for the rate function that reduces to traditional rate function if the drift satisfies the Lipschitz condition. Secondly, we study the LDP for degenerate MVSDEs with H\"{o}lder continuous drifts.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Target Tracking and Data Fusion in Sensor Networks · Financial Risk and Volatility Modeling
