Uniqueness for contagious McKean--Vlasov systems in the weak feedback regime
Sean Ledger, Andreas Sojmark

TL;DR
This paper proves global and short-time uniqueness for a broad class of McKean-Vlasov systems under weak feedback conditions, using a simple probabilistic comparison approach that does not require regularity of solutions.
Contribution
It introduces a straightforward probabilistic comparison method to establish uniqueness in McKean-Vlasov problems, applicable in both weak feedback and post-blow-up regimes.
Findings
Global uniqueness in weak feedback regime for general random drivers.
Extension of techniques to short-time uniqueness after blow-ups.
Robust comparison argument does not require regularity of solutions.
Abstract
We present a simple uniqueness argument for a collection of McKean-Vlasov problems that have seen recent interest. Our first result shows that, in the weak feedback regime, there is global uniqueness for a very general class of random drivers. By weak feedback we mean the case where the contagion parameters are small enough to prevent blow-ups in solutions. Next, we specialise to a Brownian driver and show how the same techniques can be extended to give short-time uniqueness after blow-ups, regardless of the feedback strength. The heart of our approach is a surprisingly simple probabilistic comparison argument that is robust in the sense that it does not ask for any regularity of the solutions.
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
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and financial applications
