Path independence of the additive functionals for McKean-Vlasov stochastic differential equations with jumps
Huijie Qiao, Jiang-Lun Wu

TL;DR
This paper characterizes the path independence of additive functionals in McKean-Vlasov SDEs with jumps using nonlinear partial integro-differential equations involving L-derivatives, extending previous Brownian motion results.
Contribution
It extends the characterization of path independence to McKean-Vlasov SDEs with jumps using L-derivatives, generalizing prior Brownian motion-based work.
Findings
Path independence characterized by nonlinear PDEs with L-derivatives.
Extension of previous Brownian motion results to jump processes.
Provides a theoretical framework for additive functionals in jump-driven McKean-Vlasov SDEs.
Abstract
In this article, the path independent property of additive functionals of McKean-Vlasov stochastic differential equations with jumps is characterised by nonlinear partial integro-differential equations involving -derivatives with respect to probability measures introduced by P.-L. Lions. Our result extends the recent work [16] by Ren and Wang where their concerned McKean-Vlasov stochastic differential equations are driven by Brownian motions.
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Taxonomy
TopicsStochastic processes and financial applications · Mathematical Biology Tumor Growth · Financial Risk and Volatility Modeling
