A Tikhonov theorem for McKean-Vlasov two-scale systems and a new application to mean field optimal control problems
In this talk we present a new version of the Tikhonov theorem for two-scale forward-backward systems of stochastic differential equations, which also covers the McKean-Vlasov case. Differently from what is usually done in the literature, we prove a type of convergence for the ''fast'' variable, which allows the limiting process to be discontinuous. This is relevant for the second part of the talk, where we present a new application of this theory to the approximation of the solution of mean field control problems. Towards this aim, we construct a two-scale system whose ''fast'' component converges to the optimal control process, while the ''slow'' component converges to the optimal state process. The interest in such a procedure is that it allows to approximate the solution of the control problem avoiding the usual step of the minimization of the Hamiltonian. This is a joint work with Matteo Burzoni and Alekos Cecchin.
Area: CS2 - Mean Field Games and Mean Field Control I (Jodi Dianetti & Mattia Martini)
Keywords: Tikhonov theorem; McKean-Vlasov stochastic differential equations; mean field optimal control problems
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