MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Stochastic Airy semigroup through tridiagonal matrices

Author(s)
Gorin, Vadim; Shkolnikov, Mykhaylo
Thumbnail
DownloadSubmitted version (645.0Kb)
Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Abstract
We determine the operator limit for large powers of random symmetric tridiagonal matrices as the size of the matrix grows. The result provides a novel expression in terms of functionals of Brownian motions for the Laplace transform of the Airy β process, which describes the largest eigenvalues in the β ensembles of random matrix theory. Another consequence is a Feynman-Kac formula for the stochastic Airy operator of Edelman-Sutton and Ramirez-Rider-Virag. As a side result, we find that the difference between the area underneath a standard Brownian excursion and one half of the integral of its squared local times is a Gaussian random variable. Keywords: Airy point process; Brownian bridge; Brownian excursion; Dumitriu–Edelman model; Feynman–Kac formula; Gaussian beta ensemble; intersection local time; moment method; path transformation; quantile transform; random matrix soft edge; random walk bridge; stochastic Airy operator; strong invariance principle; trace formula; Vervaat transform
Date issued
2018-06
URI
https://hdl.handle.net/1721.1/123482
Department
Massachusetts Institute of Technology. Department of Mathematics
Journal
The Annals of Probability
Publisher
Institute of Mathematical Statistics
Citation
Gorin, Vadim and Shkolnikov, Mykhaylo. "Stochastic Airy semigroup through tridiagonal matrices." Annals of Probability, 46, no.4, (2018): 2287--2344 © Institute of Mathematical Statistics, 2018.
Version: Original manuscript
ISSN
0091-1798
2168-894X
Keywords
Statistics, Probability and Uncertainty, Statistics and Probability

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.