EconPapers    
Economics at your fingertips  
 

Dirichlet eigenvalue problems of irreversible Langevin diffusion

Nadia Belmabrouk, Mondher Damak and Nejib Yaakoubi

Statistics & Probability Letters, 2022, vol. 180, issue C

Abstract: The basic objective of this research work is to investigate the asymptotic behavior of the first eigenvalue of an irreversible Langevin diffusion with zero boundary values. In particular, a reversible diffusion is perturbed by adding an antisymmetric drift which preserves the invariant measure. Then, a necessary and sufficient condition is provided for the boundness and the limiting behavior of the first eigenvalue, under Dirichlet boundary conditions and with respect to the invariant measure. In other words, we prove that the first eigenvalue is bounded if and only if the associated stochastic dynamical system has a first integral. Furthermore, we demonstrate that the limiting eigenvalue is the minimum of the Dirichlet functional over all first integrals of the divergence-free vector field. An extension of this model with a time parameter in the boundary conditions is studied, where we give another characterization to achieve the same main result.

Keywords: First eigenvalue; First eigenfunction; First integral; Irreversible diffusion; Stochastic model (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715221002042
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:stapro:v:180:y:2022:i:c:s0167715221002042

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2021.109242

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:180:y:2022:i:c:s0167715221002042