Mean Field Forward-Backward Stochastic Differential Equations
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Then, we prove that in some particular cases this system leads to a probabilistic representation of solutions of a second-order PDE whose second order coefficients depend on
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Key W ords: Adapted solution, antiipating stohasti alulus, bakward doubly SDEs,.. stohasti partial dierential equation, stohasti
[9] Gozzi F., Marinelli C., Stochastic optimal control of delay equations arising in advertising models, Da Prato (ed.) et al., Stochastic partial differential equations
Eventually, we connect the forward and backward stochastic differential equations with normal constraints in law with partial differential equations stated on the Wasserstein space
Finally, assuming that for each i = 1, · · · , n, the ith component g i of the generator g is Lipschitz continuous in the state variable y, depends only on the ith row z i of the
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