arXiv Analytics

Sign in

arXiv:1105.4737 [math.OC]AbstractReferencesReviewsResources

Sufficient Stochastic Maximum Principle for Discounted Control Problem

Bohdan Maslowski, Petr Veverka

Published 2011-05-24, updated 2013-03-13Version 2

In this article, the sufficient Pontryagin's maximum principle for infinite horizon discounted stochastic control problem is established. The sufficiency is ensured by an additional assumption of concavity of the Hamiltonian function. Throughout the paper, it is assumed that the control domain U is a convex set and the control may enter the diffusion term of the state equation. The general results are applied to the controlled stochastic logistic equation of population dynamics.

Related articles: Most relevant | Search more
arXiv:1210.0371 [math.OC] (Published 2012-10-01, updated 2013-09-14)
Weak Necessary and Sufficient Stochastic Maximum Principle for Markovian Regime-Switching Diffusion Models
arXiv:1007.3412 [math.OC] (Published 2010-07-20, updated 2010-12-14)
Sufficient stochastic maximum principle in a regime-switching diffusion model
arXiv:1407.3256 [math.OC] (Published 2014-07-11)
Sufficient stochastic maximum principle for the optimal control of semi-Markov modulated jump-diffusion with application to Financial optimization