Stability Properties of Constrained Jump-Diffusion Processes
Rami Atar, Amarjit Budhiraja
Abstract
We consider a class of jump-diffusion processes, constrained to a polyhedral cone G⊂n, where the constraint vector field is constant on each face of the boundary. The constraining mechanism corrects for ``attempts'' of the process to jump outside the domain. Under Lipschitz continuity of the Skorohod map Γ, it is known that there is a cone such that the image Γϕof a deterministic linear trajectory ϕremains bounded if and only if ϕ∈. Denoting the generator of a corresponding unconstrained jump-diffusion by , we show that a key condition for the process to admit an invariant probability measure is that for x∈ G, (x) belongs to a compact subset of o.
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