arXiv:2403.16000 [math.OC]AbstractReferencesReviewsResources
Stochastic maximum principle for weighted mean-field system with jump
Published 2024-03-24Version 1
In this article, we consider a weighted mean-field control problem with jump-diffusion as its state process. The main difficulty is from the non-Lipschitz property of the coefficients. We overcome this difficulty by an $L_{p,q}$-estimate of the solution processes with a suitably chosen $p$ and $q$. Convex pertubation method combining with the aforementioned $L_{p,q}$-estimation method is utilized to derive the stochastic maximum principle for this control problem. A sufficient condition for the optimality is also given.
Related articles: Most relevant | Search more
arXiv:2208.11679 [math.OC] (Published 2022-08-23)
Stochastic maximum principle for weighted mean-field system
arXiv:2406.07999 [math.OC] (Published 2024-06-12)
Stochastic Maximum Principle for optimal advertising models with delay and non-convex control space
arXiv:0911.3720 [math.OC] (Published 2009-11-19)
A stochastic maximum principle via Malliavin calculus