Discounted Risk-Sensitive Optimal Control of Switching Diffusions: Viscosity Solution and Numerical Approximation

Xianggang Lu and Lin Sun ()
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Xianggang Lu: School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510006, China
Lin Sun: School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510006, China

Mathematics, 2023, vol. 12, issue 1, 1-24

Abstract: This work considers the infinite horizon discounted risk-sensitive optimal control problem for the switching diffusions with a compact control space and controlled through the drift; thus, the the generator of the switching diffusions also depends on the controls. Note that the running cost of interest can be unbounded, so a decent estimation on the value function is obtained, under suitable conditions. To solve such a risk-sensitive optimal control problem, we adopt the viscosity solution methods and propose a numerical approximation scheme. We can verify that the value function of the optimal control problem solves the optimality equation as the unique viscosity solution. The optimality equation is also called the Hamilton–Jacobi–Bellman (HJB) equation, which is a second-order partial differential equation (PDE). Since, the explicit solutions to such PDEs are usually difficult to obtain, the finite difference approximation scheme is derived to approximate the value function. As a byproduct, the ϵ -optimal control of finite difference type is also obtained.

Keywords: risk-sensitive control; controlled switching diffusions; HJB equation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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