For functions of measures on Riemannian manifolds, the intrinsic and Lions derivatives coincide and equal the gradient of the extrinsic derivative, giving a direct limit formula for computing them.
McKean-Vlasov SDEs under Measure Dependent Lyapunov Conditions
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abstract
We prove the existence of weak solutions to McKean-Vlasov SDEs defined on a domain $D \subseteq \mathbb{R}^d$ with continuous and unbounded coefficients that satisfy Lyapunov type conditions, where the Lyapunov function may depend on measure. We propose a new type of {\em integrated} Lyapunov condition, where the inequality is only required to hold when integrated against the measure on which the Lyapunov function depends , and we show that this is sufficient for the existence of weak solutions to McKean-Vlasov SDEs defined on $D$. The main tool used in the proofs is the concept of a measure derivative due to Lions. We prove results on uniqueness under weaker assumptions than that of global Lipschitz continuity of the coefficients.
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2019 1verdicts
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Derivative Formulas in Measure on Riemannian Manifolds
For functions of measures on Riemannian manifolds, the intrinsic and Lions derivatives coincide and equal the gradient of the extrinsic derivative, giving a direct limit formula for computing them.