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A note on L\'evy-driven McKean-Vlasov SDEs under monotonicity

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In this note, under a weak monotonicity and a weak coercivity, we address strong well-posedness of McKean-Vlasov stochastic differential equations (SDEs) driven by L\'{e}vy jump processes, where the coefficients are Lipschitz continuous (with respect to the measure variable) under the $L^\beta$-Wasserstein distance for $\beta\in[1,2].$ Moreover, the issue on the weak propagation of chaos (i.e., convergence in distribution via the convergence of the empirical measure) and the strong propagation of chaos (i.e., at the level paths by coupling) is explored simultaneously. To treat the strong well-posedness of McKean-Vlasov SDEs we are interested in, we investigate strong well-posedness of classical time-inhomogeneous SDEs with jumps under a local weak monotonicity and a global weak coercivity. Such a result is of independent interest, and, most importantly, can provide an available reference on strong well-posedness of L\'{e}vy-driven SDEs under the monotone condition, which nevertheless is missing for a long time. Based on the theory derived, along with the interlacing technique and the Banach fixed point theorem, the strong well-posedness of McKean-Vlasov SDEs driven by L\'{e}vy jump processes can be established. Additionally, as a potential extension, strong well-posedness and conditional propagation of chaos are treated for L\'{e}vy-driven McKean-Vlasov SDEs with common noise under a weak monotonicity.

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  • Ergodicity of conditional McKean-Vlasov jump diffusions math.PR · 2025-09-02 · conditional · none · ref 5 · internal anchor

    Conditional McKean-Vlasov jump diffusions are exponentially contractive in law, and the contraction rate improves as jump noise intensity grows.