We study finite-horizon exit-time control of a one-dimensional affine diffusion, with an unbounded control acting on both drift and volatility. Since an admissible control can cancel the instantaneous volatility, the associated HJB equation is not uniformly parabolic. Moreover, the location of the degeneracy is not prescribed by the model coefficients but depends on the unknown value function and optimal feedback. Rather than relying on a viscosity-solution formulation, we work under suitable structural assumptions and prove that the value function is a $C^{1,2}$ classical solution throughout the interior of the state domain and is strictly convex in the state variable. Moreover, we construct a locally Lipschitz optimal feedback, explicitly identify the degenerate set as a curve, and show that the closed-loop drift on this curve equals the time derivative of its state coordinate. Finally, we prove invariance and inaccessibility before exit and derive exact squared-logarithmic asymptotics for approach probabilities.
We investigate a class of backward stochastic differential equations (BSDEs) with at most quadratic growth which explode at a possibly unbounded random horizon, defined through the first hitting of zero of an adapted Ito process. In contrast with the classical theory of singular BSDEs, the explosion is generated by the...
We develop a Hamilton--Jacobi theory for finite-horizon optimal control problems governed by state-dependent delay equations. In this setting, the delayed-time map depends on the controlled trajectory itself, so that both the state and the point at which the past state is evaluated vary simultaneously. The natural stat...
Yi-Ming Jiang, Cristian Mendico, Ya-Wei Wei et al.· 0 citations
We study gradient-type dynamics for weak stochastic control through the laws of controlled diffusions on path space. Although the objective is generally nonconvex in the drift, a uniformly convex running cost induces a strictly convex functional of the corresponding path law and hence a natural Bregman geometry. We con...
Yu-Peng Bai, Louis-Pierre Chaintron, Zhen-Jie Ren et al.· 0 citations
This paper studies a finite-horizon mixed $H_2/H_\infty$ feedback Nash game for stochastic evolution equations on a separable Hilbert space. The drift generator is unbounded, the remaining coefficients are bounded, and the one-dimensional Brownian diffusion depends on the state, control, and disturbance. The $H_2$ chan...
Ming-Yang Shen, Wei-Hai Zhang, Qing-Xin Meng et al.· 0 citations
We perform a detailed study of a principal--agent problem in a continuous time version of the celebrated Holmstr\"om--Milgrom model (Econometrica 55 (2), 1987) where we add limited liability for the Agent. We develop a probabilistic methodology to prove that the Principal's value function is the unique bounded classica...
Andrea Bovo, T. de Angelis, Stéphane Villeneuve· 0 citations
We study a mixed regular--singular control problem for stochastic evolution equations in a Hilbert space with possibly unbounded random linear operators, a nonconvex regular-control domain, and a state-dependent singular coefficient. The singular control is an adapted nondecreasing c\`adl\`ag process whose terminal val...
Ying Hu, Guo-Min Liu, Shan-Jian Tang· 0 citations
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