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A Stochastic Maximum Principle for Markov chains of mean-field type

Published 6 Sep 2018 in math.PR | (1809.01883v1)

Abstract: We derive sufficient and necessary optimality conditions in terms of a stochastic maximum principle (SMP) for controls associated with cost functionals of mean-field type, under dynamics driven by a class of Markov chains of mean-field type which are pure jump processes obtained as solutions of a well-posed martingale problem. As an illustration, we apply the result to generic examples of control problems as well as some applications.

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