Pathwise optimality in stochastic control (Q2706164)

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Pathwise optimality in stochastic control
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    19 March 2001
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    \(g\)-optimal stochastic optimal control
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    Hamilton-Jacobi-Bellman equations
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    pathwise optimality
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    infinite time horizon
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    Pathwise optimality in stochastic control (English)
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    This paper deals with the pathwise optimality for stochastic control problems over an infinite time horizon. The authors considered the following problems. For an admissible control \(u_t\) and its response \(x^u_t\), the running cost is given by \(J_T(u)=\int^T_0 c(x^u_t,u_t)dt\). For a given nonnegative nonincreasing function \(g\) with \(\lim_{T\to\infty} g(T)=0\), \(u^*\) is called a \(g\)-optimal a.s. whenever \(\lim_{T\to\infty} g(T)(J_T(u*)- J_T(u))^+ =0\), a.s. holds, for any admissible control \(u\). The authors give sufficient conditions for the existence of \(g\)-optimal a.s. controls and analyze both cases of diffusion processes and of processes with discrete state space.
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