2020
DOI: 10.48550/arxiv.2005.01232
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Controlled Ordinary Differential Equations with Random Path-Dependent Coefficients and Stochastic Path-Dependent Hamilton-Jacobi Equations

Abstract: This paper is devoted to the stochastic optimal control problem of ordinary differential equations allowing for both path-dependence and measurable randomness. As opposed to the deterministic path-dependent cases, the value function turns out to be a random field on the path space and it is characterized by a stochastic path-dependent Hamilton-Jacobi (SPHJ) equation. A notion of viscosity solution is proposed and the value function is proved to be the unique viscosity solution to the associated SPHJ equation.

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“…Finally, we compare the present work with the accompanying one [24]. In fact, when σ(ω, t, x t , θ(t))(≡ σ(ω, t)) is path-invariant and uncontrolled in (1.2), we may take X(t) = X(t) − ξ(t) with ξ(t) = t 0 σ(s) dW (s) for t ∈ [0, T ], and then the optimization (1.1)-(1.2) is equivalent to the following one:…”
Section: Introductionmentioning
confidence: 87%
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“…Finally, we compare the present work with the accompanying one [24]. In fact, when σ(ω, t, x t , θ(t))(≡ σ(ω, t)) is path-invariant and uncontrolled in (1.2), we may take X(t) = X(t) − ξ(t) with ξ(t) = t 0 σ(s) dW (s) for t ∈ [0, T ], and then the optimization (1.1)-(1.2) is equivalent to the following one:…”
Section: Introductionmentioning
confidence: 87%
“…The paper [24] is devoted to the control problem (1.8)-(1.9) and the existence and uniqueness of viscosity solution is addressed for the associated stochastic path-dependent Hamilton-Jacobi equation which, we note, is first-order. In contrast, our SPHJB (1.5) is second-order, and this leads to the different methods and contents for the viscosity solution theory.…”
Section: Introductionmentioning
confidence: 99%
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