학술논문

Markov processes conditioned on their location at large exponential times
Document Type
article
Source
Stochastic Processes and their Applications. 129(5)
Subject
Applied Mathematics
Mathematical Sciences
Statistics
Excursion
Local time
Doob h-transform
Bang-bang Brownian motion
Campbell measure
Diffusion
Resurrection
Doob h–transform
bang–bang Brownian motion
diffusion
local time
resurrection
Banking
Finance and Investment
Statistics & Probability
Applied mathematics
Language
Abstract
Suppose that (Xt ) t ≥0 is a one-dimensional Brownian motion with negative drift -μ. It is possible to make sense of conditioning this process to be in the state 0 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 0, then the limit of the killed Markov process evolves like X conditioned to hit 0, after which time it behaves as X killed at the last time X visits 0. Equivalently, the limit process has the dynamics of the killed "bang-bang" Brownian motion that evolves like Brownian motion with positive drift +μ when it is negative, like Brownian motion with negative drift -μ when it is positive, and is killed according to the local time spent at 0. An extension of this result holds in great generality for a Borel right process conditioned to be in some state a at an exponential random time, at which time it is killed. Our proofs involve understanding the Campbell measures associated with local times, the use of excursion theory, and the development of a suitable analogue of the "bang-bang" construction for a general Markov process. As examples, we consider the special case when the transient Borel right process is a one-dimensional diffusion. Characterizing the limiting conditioned and killed process via its infinitesimal generator leads to an investigation of the h-transforms of transient one-dimensional diffusion processes that goes beyond what is known and is of independent interest.