A submartingale for the probability of avoiding the origin in one-point interaction ground-state diffusion: d ∈ \2,3\
Barkat Mian
Abstract
We study the near-origin behavior on [0,T] of the singular diffusion whose transition density is given by a Doob transform of the integral kernel of the semigroup generated by the d-dimensional Schrödinger operator Lγ with a one-point potential at the origin, where the driving family is the ground state of Lγ and d∈\2,3\. We construct a submartingale whose increasing component grows only at times when the diffusion visits the origin. Using this submartingale, we show that the diffusion hits the origin with positive probability and that, conditionally on hitting the origin by time T, the first hitting time has a truncated generalized inverse Gaussian (GIG) distribution. We further study the dynamics under conditioning to avoid the origin: under the conditional law, the diffusion is not a standard Brownian motion, but instead admits a representation in terms of a regularized drift and a continuous martingale. While these properties are known in dimension two, the present submartingale-based approach provides an alternative verification and treats dimensions two and three in a unified manner.
Create a lesson
Related papers
On Solutions to Graphon McKean-Vlasov SDEs of Nemytskii-type
Sebastian Grube, Guodong Pang, Michael Röckner
Facilitated Exclusion Process in Higher Dimensions: Recurrent Structure and Transient Dynamics
Seonwoo Kim, Sanha Lee, Insuk Seo
On the telegrapher's signals of sticky local times
F. Colantoni, M. D'Ovidio
p-roughness of paths and invariance of p-th variation
Rama Cont
Exponential convergence of Sinkhorn algorithm for entropy martingale optimal transport
Anna Kazeykina, Zhenjie Ren, Hecheng Wang
Delocalisation and scaling limit for the disordered long-range Discrete Gaussian Chain
Christopher Chalhoub, Paul Dario, Corentin Faipeur et al.