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Poisson Statistics for Beta Ensembles on the Real Line at High Temperature

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Abstract

This paper studies beta ensembles on the real line in a high temperature regime, that is, the regime where \(\beta N \rightarrow const \in (0, \infty )\), with N the system size and \(\beta \) the inverse temperature. For the global behavior, the convergence to the equilibrium measure is a consequence of a recent result on large deviation principle. This paper focuses on the local behavior and shows that the local statistics around any fixed reference energy converges weakly to a homogeneous Poisson point process.

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References

  1. Akemann, G., Byun, S.S.: The high temperature crossover for general 2D coulomb gases. J. Stat. Phys. 175(6), 1043–1065 (2019). https://doi.org/10.1007/s10955-019-02276-6

    Article  ADS  MathSciNet  MATH  Google Scholar 

  2. Allez, R., Bouchaud, J.P., Guionnet, A.: Invariant beta ensembles and the Gauss-Wigner crossover. Phys. Rev. Lett. 109(9), 094,102 (2012)

    Article  Google Scholar 

  3. Benaych-Georges, F., Péché, S.: Poisson statistics for matrix ensembles at large temperature. J. Stat. Phys. 161(3), 633–656 (2015). https://doi.org/10.1007/s10955-015-1340-8

    Article  ADS  MathSciNet  MATH  Google Scholar 

  4. Bourgade, P., Erdős, L., Yau, H.T.: Bulk universality of general \(\beta \)-ensembles with non-convex potential. J. Math. Phys. 53(9), 095,221, 19 (2012). https://doi.org/10.1063/1.4751478

  5. Bourgade, P., Erdős, L., Yau, H.T.: Universality of general \(\beta \)-ensembles. Duke Math. J. 163(6), 1127–1190 (2014). https://doi.org/10.1215/00127094-2649752

    Article  MathSciNet  MATH  Google Scholar 

  6. Bourgade, P., Erdös, L., Yau, H.T.: Edge universality of beta ensembles. Commun. Math. Phys. 332(1), 261–353 (2014). https://doi.org/10.1007/s00220-014-2120-z

    Article  ADS  MathSciNet  MATH  Google Scholar 

  7. Chafaï, D., Gozlan, N., Zitt, P.A.: First-order global asymptotics for confined particles with singular pair repulsion. Ann. Appl. Probab. 24(6), 2371–2413 (2014). https://doi.org/10.1214/13-AAP980

    Article  MathSciNet  MATH  Google Scholar 

  8. Dembo, A., Zeitouni, O.: Large deviations techniques and applications, Applications of Mathematics (New York), vol. 38, 2nd edn. Springer, New York (1998). https://doi.org/10.1007/978-1-4612-5320-4

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

    Article  ADS  MathSciNet  Google Scholar 

  10. Duy, T.K., Shirai, T.: The mean spectral measures of random Jacobi matrices related to Gaussian beta ensembles. Electron. Commun. Probab. 20(68), 13 (2015)

    MathSciNet  MATH  Google Scholar 

  11. García-Zelada, D.: A large deviation principle for empirical measures on Polish spaces: application to singular Gibbs measures on manifolds. Ann. Inst. Henri Poincaré Probab. Stat. 55(3), 1377–1401 (2019). https://doi.org/10.1214/18-aihp922

    Article  MathSciNet  MATH  Google Scholar 

  12. Hardy, A., Lambert, G.: CLT for circular beta-ensembles at high temperature. arXiv preprint arXiv:1909.01142 (2019)

  13. Johansson, K.: On fluctuations of eigenvalues of random Hermitian matrices. Duke Math. J. 91(1), 151–204 (1998)

    Article  MathSciNet  Google Scholar 

  14. Lambert, G.: Poisson statistics for Gibbs measures at high temperature. arXiv preprint arXiv:1912.10261 (2019)

  15. Liu, W., Wu, L.: Large deviations for empirical measures of mean-field Gibbs measures. Stoch. Process. Appl. 130(2), 503–520 (2019). https://doi.org/10.1016/j.spa.2019.01.008

    Article  MathSciNet  MATH  Google Scholar 

  16. Nakano, F., Trinh, K.D.: Gaussian beta ensembles at high temperature: eigenvalue fluctuations and bulk statistics. J. Stat. Phys. 173(2), 295–321 (2018). https://doi.org/10.1007/s10955-018-2131-9

    Article  ADS  MathSciNet  MATH  Google Scholar 

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

  18. de la Peña, V.H.: Decoupling and Khintchine’s inequalities for \(U\)-statistics. Ann. Probab. 20(4), 1877–1892 (1992)

    Article  MathSciNet  Google Scholar 

  19. 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 

  20. Saff, E.B., Totik, V.: Logarithmic potentials with external fields, Grundlehren der Mathematischen Wissenschaften [Fundamental Principles of Mathematical Sciences], vol. 316. Springer-Verlag, Berlin (1997). https://doi.org/10.1007/978-3-662-03329-6. Appendix B by Thomas Bloom

  21. Spohn, H.: Generalized Gibbs ensembles of the classical Toda chain. J. Stat. Phys. (2019). https://doi.org/10.1007/s10955-019-02320-5

    Article  Google Scholar 

  22. Trinh, H.D., Trinh, K.D.: Beta Laguerre ensembles in global regime. arXiv preprint arXiv:1907.12267 (2019)

  23. Trinh, K.D.: Global Spectrum Fluctuations for Gaussian Beta Ensembles: A Martingale Approach. J. Theor. Probab. 32(3), 1420–1437 (2019). https://doi.org/10.1007/s10959-017-0794-9

    Article  MathSciNet  MATH  Google Scholar 

  24. Valkó, B., Virág, B.: Continuum limits of random matrices and the Brownian carousel. Invent. Math. 177(3), 463–508 (2009)

    Article  ADS  MathSciNet  Google Scholar 

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Acknowledgements

This work is supported by JSPS KAKENHI Grant Number JP19K14547 (K.D.T.). The authors would like to thank the referees for many helpful suggestions.

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Correspondence to Khanh Duy Trinh.

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Communicated by Eric A. Carlen.

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Nakano, F., Trinh, K.D. Poisson Statistics for Beta Ensembles on the Real Line at High Temperature. J Stat Phys 179, 632–649 (2020). https://doi.org/10.1007/s10955-020-02542-y

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