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    <title>Optimal Trajectories Associated to a Solution of Contingent Hamilton-Jacobi Equation</title>
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    <abstract>In this paper we study the existence of optimal trajectories associated with a generalized solution to Hamilton-Jacobi-Bellman equation arising in optimal control. In general, we cannot expect such solutions to be differentiable. But, in a way analogous to the use of distributions in PDE, we replace the usual derivatives with &quot;contingent epiderivatives&quot; and the Hamilton-Jacobi equation by two &quot;contingent Hamilton-Jacobi inequalities&quot;. We show that the value function of an optimal control problem verifies these &quot;contingent inequalities&quot;. 

Our approach allows the following three results: (1) The upper semicontinuous solutions to contingent inequalities are monotone along the trajectories of the dynamical system. (2) With every continuous solution V of the contingent inequalities, we can associate an optimal trajectory along which V is constant. (3) For such solutions, we can construct optimal trajectories through the corresponding optimal feedback. 

They are also &quot;viscosity solutions&quot; of a Hamilton-Jacobi equation. Finally we prove a relationship between super-differentials of solutions introduced in Crandall-Evans-Lions and the Pontryagin principle and discuss the link of viscosity solutions with Clarke&apos;s approach to the Hamilton-Jacobi equation.</abstract>
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