Zero-sum Dynkin games under common and independent Poisson constraints
David Hobson, Gechun Liang, Edward Wang

TL;DR
This paper investigates zero-sum Dynkin games with Poisson constraints, establishing conditions for solution equivalence under common and independent constraints, and extends BSDE techniques to infinite-horizon cases.
Contribution
It provides necessary and sufficient conditions for solution equivalence of constrained Dynkin games and extends BSDE methods to infinite-horizon scenarios.
Findings
Disjoint stopping sets imply solution equivalence under both constraints.
Solution equivalence under independent constraint requires disjoint stopping sets.
Extended BSDE techniques enable solving infinite-horizon Dynkin games.
Abstract
Zero-sum Dynkin games under Poisson constraints, where players can only stop at the event times of a Poisson process, have been studied widely in the recent literature. The constraint can be modelled in two ways: either both players share the same Poisson process (the common constraint) or each player has their own Poisson process (the independent constraint). In a Markovian framework, where payoffs are functions of an underlying diffusion, we establish necessary and sufficient conditions for the equivalence of the game's solution--comprising the value function and optimal stopping sets--under the common and independent constraints. Specifically, if the stopping sets of the maximiser and minimiser in the game under the common constraint are disjoint, then the solution to the game is the same under both the common and the independent constraint. However, the fact that the stopping sets…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum chaos and dynamical systems · Economic theories and models · Guidance and Control Systems
