Optimal control, viscosity approximation and Arrhenius Law for the shallow lake problem

Fuente: arXiv
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Main Authors: Koutsimpela, Angeliki, Loulakis, Michail
Format: Preprint
Published: 2024
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author Koutsimpela, Angeliki
Loulakis, Michail
author_facet Koutsimpela, Angeliki
Loulakis, Michail
contents We prove existence of optimal control for the deterministic and stochastic shallow lake problem without any restrictions on the parameter space and we establish a generalization of the Arrhenius Law in the case of noise-dependent potentials, which naturally arise in control theory problems. We also prove a result about convergence of the derivatives in the viscosity approximation of the value function and use this result to derive the Arrhenius Law for the shallow lake problem.
format Preprint
id arxiv_https___arxiv_org_abs_2401_07642
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal control, viscosity approximation and Arrhenius Law for the shallow lake problem
Koutsimpela, Angeliki
Loulakis, Michail
Optimization and Control
Probability
93E20, 60H30, 49L25
We prove existence of optimal control for the deterministic and stochastic shallow lake problem without any restrictions on the parameter space and we establish a generalization of the Arrhenius Law in the case of noise-dependent potentials, which naturally arise in control theory problems. We also prove a result about convergence of the derivatives in the viscosity approximation of the value function and use this result to derive the Arrhenius Law for the shallow lake problem.
title Optimal control, viscosity approximation and Arrhenius Law for the shallow lake problem
topic Optimization and Control
Probability
93E20, 60H30, 49L25
url https://arxiv.org/abs/2401.07642