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  1. Pubblicazioni

Stopper vs. Singular Controller Games With Degenerate Diffusions

Articolo
Data di Pubblicazione:
2025
Abstract:
We study zero-sum stochastic games between a singular controller and a stopper when the (state-dependent) diffusion matrix of the underlying controlled diffusion process is degenerate. In particular, we show the existence of a value for the game and determine an optimal strategy for the stopper. The degeneracy of the dynamics prevents the use of analytical methods based on solution in Sobolev spaces of suitable variational problems. Therefore we adopt a probabilistic approach based on a perturbation of the underlying diffusion modulated by a parameter γ>0. For each γ>0 the approximating game is non-degenerate and admits a value uγ and an optimal strategy τ∗γ for the stopper. Letting γ→0 we prove convergence of uγ to a function v, which identifies the value of the original game. We also construct explicitly optimal stopping times θ∗γ for uγ, related but not equal to τ∗γ, which converge almost surely to an optimal stopping time θ∗ for the game with degenerate dynamics.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Controlled diffusions; Degenerate diffusions; Gradient constraint; Obstacle problems; Optimal stopping; Singular control; Variational inequalities; Zero-sum stochastic games
Elenco autori:
Bovo, Andrea; De Angelis, Tiziano; Palczewski, Jan
Autori di Ateneo:
Bovo Andrea
Link alla scheda completa:
https://iris.unibs.it/handle/11379/627625
Pubblicato in:
APPLIED MATHEMATICS AND OPTIMIZATION
Journal
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