Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Extreme-value distributions and renormalization group

Iván Calvo*

Juan C. Cuchí

J. G. Esteve and Fernando Falceto§

  • Laboratorio Nacional de Fusión, Asociación EURATOM-CIEMAT, 28040 Madrid, Spain

  • Departament d’Enginyeria Agroforestal, Universitat de Lleida, 25198 Lleida, Spain

  • Departamento de Física Teórica, Universidad de Zaragoza, 50009 Zaragoza, Spain and Instituto de Biocomputación y Física de Sistemas Complejos (BIFI), 50009 Zaragoza, Spain

  • *ivan.calvo@ciemat.es
  • cuchi@eagrof.udl.cat
  • Corresponding author: esteve@unizar.es
  • §falceto@unizar.es

Phys. Rev. E 86, 041109 – Published 8 October, 2012

DOI: https://doi.org/10.1103/PhysRevE.86.041109

Abstract

In the classical theorems of extreme value theory the limits of suitably rescaled maxima of sequences of independent, identically distributed random variables are studied. The vast majority of the literature on the subject deals with affine normalization. We argue that more general normalizations are natural from a mathematical and physical point of view and work them out. The problem is approached using the language of renormalization-group transformations in the space of probability densities. The limit distributions are fixed points of the transformation and the study of its differential around them allows a local analysis of the domains of attraction and the computation of finite-size corrections.

Article Text

References (22)

  1. L. de Haan and A. Ferreira, Extreme Value Theory: An Introduction (Springer, Berlin, 2006).
  2. R. W. Katz, M. B. Parlange, and P. Naveau, Adv. Water Resour. 25, 1287 (2002).
  3. H. V. Storch and F. W. Zwiers, Statistical Analysis in Climate Research (Cambridge University Press, Cambridge, UK, 2002).
  4. B. Gutenberg and C. F. Richter, Bull. Seismol. Soc. Am. 34, 185 (1944).
  5. J.-P. Bouchaud and M. Mézard, J. Phys. A 30, 7997 (1997).
  6. P. Embrecht, C. Klüppelberg, and T. Mikosch, Modelling Extremal Events for Insurance and Finance (Springer, Berlin, 1997).
  7. W. Weibull, J. Appl. Mech. 18, 293 (1951).
  8. G. Jona-Lasinio, Nuovo Cimento B26, 98 (1975).
  9. I. Calvo, J. C. Cuchí, J. G. Esteve, and F. Falceto, J. Stat. Phys. 141, 409 (2010).
  10. G. Gyorgyi, N. R. Moloney, K. Ozogany, and Z. Racz, Phys. Rev. Lett. 100, 210601 (2008).
  11. G. Gyorgyi, N. R. Moloney, K. Ozogany, Z. Racz, and M. Droz, Phys. Rev. E 81, 041135 (2010).
  12. E. Bertin and G. Gyorgyi, J. Stat. Mech. (2010) P08022.
  13. M. Fréchet, Ann. Soc. Polonaise Math. 6, 93 (1927).
  14. M. R. Fisher and L. H. C. Tippet, Proc. Cambridge Philos. Soc. 24, 180 (1928).
  15. B. V. Gnedenko, Ann. Math 44, 423 (1943).
  16. R. L. Smith, Breakthroughs in Statistics, edited by S. Kotz and N. L. Johnson (Springer-Verlag, Berlin, 1993).
  17. E. Pancheva, ProbStat Forum 3, 11 (2010).
  18. E. Pancheva, Lecture Notes Math. 1155, 284 (1984).
  19. N. R. Mohan and S. Ravi, Theory Probab. Appl. 37, 632 (1991).
  20. S. M. Popoff, G. Lerosey, R. Carminati, M. Fink, A. C. Boccara, and S. Gigan, Phys. Rev. Lett. 104, 100601 (2010).
  21. M. S. Oey and C. J. Clarke, Astrophys. J. 620, L43 (2005).
  22. L. de Haan and S. Resnick, Ann. Probab. 24, 97 (1996).

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation