Comparison between criteria leading to the weak invariance principle

Olivier Durieu; Dalibor Volný

Annales de l'I.H.P. Probabilités et statistiques (2008)

  • Volume: 44, Issue: 2, page 324-340
  • ISSN: 0246-0203

Abstract

top
The aim of this paper is to compare various criteria leading to the central limit theorem and the weak invariance principle. These criteria are the martingale-coboundary decomposition developed by Gordin in Dokl. Akad. Nauk SSSR188 (1969), the projective criterion introduced by Dedecker in Probab. Theory Related Fields110 (1998), which was subsequently improved by Dedecker and Rio in Ann. Inst. H. Poincaré Probab. Statist.36 (2000) and the condition introduced by Maxwell and Woodroofe in Ann. Probab.28 (2000) later improved upon by Peligrad and Utev in Ann. Probab.33(2005). We prove that in every ergodic dynamical system with positive entropy, if we consider two of these criteria, we can find a function in 𝕃 2 satisfying the first but not the second.

How to cite

top

Durieu, Olivier, and Volný, Dalibor. "Comparison between criteria leading to the weak invariance principle." Annales de l'I.H.P. Probabilités et statistiques 44.2 (2008): 324-340. <http://eudml.org/doc/77972>.

@article{Durieu2008,
abstract = {The aim of this paper is to compare various criteria leading to the central limit theorem and the weak invariance principle. These criteria are the martingale-coboundary decomposition developed by Gordin in Dokl. Akad. Nauk SSSR188 (1969), the projective criterion introduced by Dedecker in Probab. Theory Related Fields110 (1998), which was subsequently improved by Dedecker and Rio in Ann. Inst. H. Poincaré Probab. Statist.36 (2000) and the condition introduced by Maxwell and Woodroofe in Ann. Probab.28 (2000) later improved upon by Peligrad and Utev in Ann. Probab.33(2005). We prove that in every ergodic dynamical system with positive entropy, if we consider two of these criteria, we can find a function in $\mathbb \{L\}^\{2\}$ satisfying the first but not the second.},
author = {Durieu, Olivier, Volný, Dalibor},
journal = {Annales de l'I.H.P. Probabilités et statistiques},
keywords = {stationary process; central limit theorem; weak invariance principle; martingale approximation; projective criterion},
language = {eng},
number = {2},
pages = {324-340},
publisher = {Gauthier-Villars},
title = {Comparison between criteria leading to the weak invariance principle},
url = {http://eudml.org/doc/77972},
volume = {44},
year = {2008},
}

TY - JOUR
AU - Durieu, Olivier
AU - Volný, Dalibor
TI - Comparison between criteria leading to the weak invariance principle
JO - Annales de l'I.H.P. Probabilités et statistiques
PY - 2008
PB - Gauthier-Villars
VL - 44
IS - 2
SP - 324
EP - 340
AB - The aim of this paper is to compare various criteria leading to the central limit theorem and the weak invariance principle. These criteria are the martingale-coboundary decomposition developed by Gordin in Dokl. Akad. Nauk SSSR188 (1969), the projective criterion introduced by Dedecker in Probab. Theory Related Fields110 (1998), which was subsequently improved by Dedecker and Rio in Ann. Inst. H. Poincaré Probab. Statist.36 (2000) and the condition introduced by Maxwell and Woodroofe in Ann. Probab.28 (2000) later improved upon by Peligrad and Utev in Ann. Probab.33(2005). We prove that in every ergodic dynamical system with positive entropy, if we consider two of these criteria, we can find a function in $\mathbb {L}^{2}$ satisfying the first but not the second.
LA - eng
KW - stationary process; central limit theorem; weak invariance principle; martingale approximation; projective criterion
UR - http://eudml.org/doc/77972
ER -

References

top
  1. [1] P. Billingsley. The Lindeberg–Lévy theorem for martingales. Proc. Amer. Math. Soc. 12 (1961) 788–792. Zbl0129.10701MR126871
  2. [2] P. Billingsley. Convergence of Probability Measures. Wiley, New York, 1968. Zbl0172.21201MR233396
  3. [3] Y. S. Chow and H. Teicher. Probability Theory, 3rd edition. Springer, New York, 1997. Zbl0891.60002MR1476912
  4. [4] I. P. Cornfeld, S. V. Fomin and Y. G. Sinaĭ. Ergodic Theory. Springer, New York, 1982. (Translated from the Russian by A. B. Sosinskiĭ.) Zbl0493.28007MR832433
  5. [5] J. Dedecker. A central limit theorem for stationary random fields. Probab. Theory Related Fields 110 (1998) 397–426. Zbl0902.60020MR1616496
  6. [6] J. Dedecker and E. Rio. On the functional central limit theorem for stationary processes. Ann. Inst. H. Poincaré Probab. Statist. 36 (2000) 1–34. Zbl0949.60049MR1743095
  7. [7] A. del Junco and J. Rosenblatt. Counterexamples in ergodic theory and number theory. Math. Ann. 245 (1979) 185–197. Zbl0398.28021MR553340
  8. [8] M. I. Gordin. The central limit theorem for stationary processes. Dokl. Akad. Nauk SSSR 188 (1969) 739–741. Zbl0212.50005MR251785
  9. [9] A. Gut. Probability: A Graduate Course. Springer, New York, 2005. Zbl1076.60001MR2125120
  10. [10] P. Hall and C. C. Heyde. Martingale Limit Theory and Its Application. Academic Press, New York, 1980. Zbl0462.60045MR624435
  11. [11] C. C. Heyde. On the central limit theorem and iterated logarithm law for stationary processes. Bull. Austral. Math. Soc. 12 (1975) 1–8. Zbl0287.60035MR372954
  12. [12] I. A. Ibragimov. A central limit theorem for a class of dependent random variables. Teor. Verojatnost. i Primenen. 8 (1963) 89–94. Zbl0123.36103MR151997
  13. [13] S. Le Borgne. Limit theorems for non-hyperbolic automorphisms of the torus. Israel J. Math. 109 (1999) 61–73. Zbl0989.37001MR1679589
  14. [14] C. Liverani. Central limit theorem for deterministic systems. In International Conference on Dynamical Systems (Montevideo, 1995) 56–75. Pitman Res. Notes Math. Ser. 362. Longman, Harlow, 1996. Zbl0871.58055MR1460797
  15. [15] M. Maxwell and M. Woodroofe. Central limit theorems for additive functionals of Markov chains. Ann. Probab. 28 (2000) 713–724. Zbl1044.60014MR1782272
  16. [16] F. Merlevède, M. Peligrad and S. Utev. Recent advances in invariance principles for stationary sequences. Probab. Surv. 3 (2006) 1–36 (electronic). Zbl1189.60078MR2206313
  17. [17] D. Ornstein. Bernoulli shifts with the same entropy are isomorphic. Advances in Math. 4 (1970) 337–352. Zbl0197.33502MR257322
  18. [18] M. Peligrad and S. Utev. A new maximal inequality and invariance principle for stationary sequences. Ann. Probab. 33 (2005) 798–815. Zbl1070.60025MR2123210
  19. [19] J. G. Sinaĭ. A weak isomorphism of transformations with invariant measure. Dokl. Akad. Nauk SSSR 147 (1962) 797–800. Zbl0205.13501MR161960
  20. [20] D. Volný. Approximating martingales and the central limit theorem for strictly stationary processes. Stochastic Process. Appl. 44 (1993) 41–74. Zbl0765.60025MR1198662
  21. [21] D. Volný and P. Samek. On the invariance principle and the law of iterated logarithm for stationary processes. In Mathematical Physics and Stochastic Analysis (Lisbon, 1998) 424–438. World Sci. Publishing, River Edge, NJ, 2000. Zbl0974.60013MR1893125

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.