Spectral gap and rate of convergence to equilibrium for a class of conditioned Brownian motions
Ross G. Pinsky
Stochastic Processes and their Applications, 2005, vol. 115, issue 6, 875-889
Abstract:
If a Brownian motion is physically constrained to the interval [0,[gamma]] by reflecting it at the endpoints, one obtains an ergodic process whose exponential rate of convergence to equilibrium is [pi]2/2[gamma]2. On the other hand, if Brownian motion is conditioned to remain in (0,[gamma]) up to time t, then in the limit as t-->[infinity] one obtains an ergodic process whose exponential rate of convergence to equilibrium is 3[pi]2/2[gamma]2. A recent paper [Grigorescu and Kang, J. Theoret. Probab. 15 (2002) 817-844] considered a different kind of physical constraint--when the Brownian motion reaches an endpoint, it is catapulted to the point p[gamma], where , and then continues until it again hits an endpoint at which time it is catapulted again to p[gamma], etc. The resulting process--Brownian motion physically returned to the point p[gamma]--is ergodic and the exponential rate of convergence to equilibrium is independent of p and equals 2[pi]2/[gamma]2. In this paper we define a conditioning analog of the process physically returned to the point p[gamma] and study its rate of convergence to equilibrium.
Keywords: Conditioned; Brownian; motion; Spectral; gap; Invariant; measure; Diffusion (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4149(05)00030-X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:115:y:2005:i:6:p:875-889
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().