On the asymptotic of exit problems for controlled Markov diffusion processes with random jumps and vanishing diffusion terms
Getachew K. Befekadu

TL;DR
This paper investigates the asymptotic behavior of controlled Markov diffusion processes with random jumps and vanishing diffusion terms, focusing on exit times, optimal controls, and related PDE limits.
Contribution
It introduces a two-step analysis combining eigenvalue minimization and large deviations to characterize exit distributions and PDE limits for such complex controlled processes.
Findings
Identifies optimal controls minimizing principal eigenvalues.
Characterizes exit location and distribution using large deviations.
Analyzes the PDE limits associated with vanishing diffusion.
Abstract
In this paper, we study the asymptotic of exit problem for controlled Markov diffusion processes with random jumps and vanishing diffusion terms, where the random jumps are introduced in order to modify the evolution of the controlled diffusions by switching from one mode of dynamics to another. That is, depending on the state-position and state-transition information, the dynamics of the controlled diffusions randomly switches between the different drift and diffusion terms. Here, we specifically investigate the asymptotic exit problem concerning such controlled Markov diffusion processes in two steps: (i) First, for each controlled diffusion model, we look for an admissible Markov control process that minimizes the principal eigenvalue for the corresponding infinitesimal generator with zero Dirichlet boundary conditions -- where such an admissible control process also forces the…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Mathematical Modeling in Engineering · Markov Chains and Monte Carlo Methods
