Skip to main content
Log in

Large Deviations Principle for the Largest Eigenvalue of the Gaussian \(\beta \)-Ensemble at High Temperature

  • Published:
Journal of Theoretical Probability Aims and scope Submit manuscript

Abstract

We consider the Gaussian \(\beta \)-ensemble when \(\beta \) scales with n (the number of particles) such that \(\displaystyle {{n}^{-1}\ll \beta \ll 1}\). Under a certain regime for \(\beta \), we show that the largest particle satisfies a large deviations principle in \(\mathbb {R}\) with speed \(n\beta \) and explicit rate function. As a consequence, the largest particle converges in probability to 2, the rightmost point of the semicircle law.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Allez, R., Dumaz, L.: Tracy-Widom at high temperature. J. Stat. Phys. 156(6), 1146–1183 (2014)

    Article  MathSciNet  Google Scholar 

  2. Anderson, G.W., Guionnet, A., Zeitouni, O.: An Introduction to Random Matrices, Cambridge Studies in Advanced Mathematics, vol. 118. Cambridge University Press, Cambridge (2010)

    MATH  Google Scholar 

  3. Augeri, F.: Large deviations principle for the largest Eigenvalue of Wigner matrices without Gaussian tails. Electron. J. Probab. 21, Paper No. 32, 49 (2016)

  4. Arous, G.B., Dembo, A., Guionnet, A.: Aging of spherical spin glasses. Probab. Theory Relat. Fields 120(1), 1–67 (2001)

    Article  MathSciNet  Google Scholar 

  5. Arous, G.B., Guionnet, A.: Large deviations for Wigner’s law and Voiculescu’s non-commutative entropy. Probab. Theory Relat. Fields 108(4), 517–542 (1997)

    Article  MathSciNet  Google Scholar 

  6. Benaych-Georges, F., Guionnet, A., Maïda, M.: Fluctuations of the extreme Eigenvalues of finite rank deformations of random matrices. Electron. J. Probab. 16(60), 1621–1662 (2011)

    Article  MathSciNet  Google Scholar 

  7. Benaych-Georges, F., Péché, S.: Poisson statistics for matrix ensembles at large temperature. J. Stat. Phys. 161(3), 633–656 (2015)

    Article  MathSciNet  Google Scholar 

  8. Dembo, A., Zeitouni, O.: Large Deviations Techniques and Applications, Volume 38 of Stochastic Modelling and Applied Probability. Springer, Berlin (2010). (Corrected reprint of the second (1998) edition)

    Book  Google Scholar 

  9. Dumitriu, I., Edelman, A.: Matrix models for beta ensembles. J. Math. Phys. 43(11), 5830–5847 (2002)

    Article  MathSciNet  Google Scholar 

  10. Edelman, A., Sutton, B.D.: From random matrices to stochastic operators. J. Stat. Phys. 127(6), 1121–1165 (2007)

    Article  MathSciNet  Google Scholar 

  11. Hardy, A.: A note on large deviations for 2D Coulomb gas with weakly confining potential. Electron. Commun. Probab. 17(19), 12 (2012)

    MathSciNet  MATH  Google Scholar 

  12. Maïda, M.: Large deviations for the largest eigenvalue of rank one deformations of Gaussian ensembles. Electron. J. Probab. 12, 1131–1150 (2007)

    Article  MathSciNet  Google Scholar 

  13. Nakano, F., Trinh, K.D.: Gaussian beta ensembles at high temperature: eigenvalue fluctuations and bulk statistics. J. Stat. Phys. 173, 295–321 (2018). https://doi.org/10.1007/s10955-018-2131-9

    Article  MathSciNet  MATH  Google Scholar 

  14. Pakzad, C.: Poisson statistics at the edge of Gaussian beta-ensembles at high temperature. arXiv preprint arXiv:1804.08214 (2018)

  15. Ramírez, J.A., Rider, B., Virág, B.: Beta ensembles, stochastic Airy spectrum, and a diffusion. J. Am. Math. Soc. 24(4), 919–944 (2011)

    Article  MathSciNet  Google Scholar 

  16. Trinh, K.D.: Global spectrum fluctuations for Gaussian beta ensembles: a martingale approach. J. Theor. Probab. https://doi.org/10.1007/s10959-017-0794-9

    Article  MathSciNet  Google Scholar 

  17. Trinh, K.D., Shirai, T.: The mean spectral measures of random Jacobi matrices related to Gaussian beta ensembles. Electron. Commun. Probab. 20, 68 (2015). https://projecteuclid.org/euclid.ecp/1465320995

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cambyse Pakzad.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pakzad, C. Large Deviations Principle for the Largest Eigenvalue of the Gaussian \(\beta \)-Ensemble at High Temperature. J Theor Probab 33, 428–443 (2020). https://doi.org/10.1007/s10959-019-00882-4

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10959-019-00882-4

Keywords

Mathematics Subject Classification (2010)

Navigation