Markov processes conditioned on their location at large exponential times
Steven N. Evans, Alexandru Hening

TL;DR
This paper studies the behavior of Markov processes, especially Brownian motion with drift, conditioned on their state at large exponential times, revealing a limiting process with piecewise dynamics and extending the results to general Borel right processes.
Contribution
It introduces a new limiting process for Markov processes conditioned at large exponential times and develops a general framework for such conditioning in Borel right processes.
Findings
The limiting process combines different drift behaviors depending on the state.
The approach extends to general Borel right processes with a state conditioning.
Characterization of the limit involves advanced excursion and local time analysis.
Abstract
Suppose that is a one-dimensional Brownian motion with negative drift . It is possible to make sense of conditioning this process to be in the state at an independent exponential random time and if we kill the conditioned process at the exponential time the resulting process is Markov. If we let the rate parameter of the random time go to , then the limit of the killed Markov process evolves like conditioned to hit , after which time it behaves as killed at the last time visits . Equivalently, the limit process has the dynamics of the killed "bang--bang" Brownian motion that evolves like Brownian motion with positive drift when it is negative, like Brownian motion with negative drift when it is positive, and is killed according to the local time spent at . An extension of this result holds in great generality for Borel…
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.
