Abstract
In this paper, we study the central limit theorem and its functional form for random fields which are started not from their equilibrium, but rather under the measure conditioned by the past sigma field. The initial class considered is that of orthomartingales and then the result is extended to a more general class of random fields by approximating them, in some sense, with an orthomartingale. We construct an example which shows that there are orthomartingales which satisfy the CLT but not its quenched form. This example also clarifies the optimality of the moment conditions used for the validity of our results. Finally, by using the so-called orthomartingale-coboundary decomposition, we apply our results to linear and nonlinear random fields.
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References
Argiris, G., Rosenblatt, J.: Forcing divergence when the supremum is not integrable. Positivity 10, 261–284 (2006)
Basu, A.K., Dorea, C.C.Y.: On functional central limit theorem for stationary martingale random fields. Acta Math. Acad. Sci. Hungar. 33, 307–316 (1979)
Billingsley, P.: Convergence of Probability Measures. Wiley, New York (1999)
Billingsley, P.: Probability and Measures. Wiley Series in Probability and Statistics, 3rd edn. Wiley, New York (1995)
Bickel, P.J., Wichura, M.J.: Convergence criteria for multiparameter stochastic processes and some applications. Ann. Math. Stat. 42, 1656–1670 (1971)
Burkholder, D.L.: Distribution function inequalities for martingales. Ann. Probab. 1, 19–42 (1973)
Borodin, A.N., Ibragimov, I.A.: Limit theorems for functionals of random walks. Trudy Mat. Inst. Steklov., 195 (Proc. Steklov Inst. Math. (1995)) 195(2) (1994)
Cairoli, R.: Un théorème de convergence pour martingales à indices multiples. C. R. Acad. Sci. Paris Sér. A-B 269, A587–A589 (1969)
Cuny, C., Peligrad, M.: Central limit theorem started at a point for stationary processes and additive functional of reversible Markov Chains. J. Theor. Probab. 25, 171–188 (2012)
Cuny, C., Merlevède, F.: On martingale approximations and the quenched weak invariance principle. Ann. Probab. 42, 760–793 (2014)
Cuny, C., Dedecker J., Volný, D.: A functional central limit theorem for fields of commuting transformations via martingale approximation, Zapiski Nauchnyh Seminarov POMI 441.C. Part 22 239–263 and J. Math. Sci. 2016, 219 765–781 (2015)
de la Peña, V., Giné, E.: Decoupling. From Dependence to Independence. Randomly Stopped Processes. U-Statistics and Processes. Martingales and Beyond. Probability and Its Applications (New York). Springer, New York (1999)
Derriennic, Y., Lin, M.: The central limit theorem for Markov chains with normal transition operators started at a point. Probab. Theory Relat. Fields 119, 508–528 (2001)
Eisner, F., Farkas, B., Haase, M.: Operator Theoretic Aspects of Ergodic Theory. Graduate Texts in Mathematics 272. Springer, Berlin (2015)
El Machkouri, M., Giraudo, D.: Orthomartingale-coboundary decomposition for stationary random fields. Stoch. Dyn. 16, 1650017 (2016)
El Machkouri, M., Volný, D., Wu, W.B.: A central limit theorem for stationary random fields. Stoch. Process. Appl. 123, 1–14 (2013)
Gänssler, P., Häusler, E.: Remarks on the functional central limit theorem for martingales. Z. Wahrscheinlichkeitstheorie verw. Gebiete 50, 237–243 (1979)
Gänssler, P., Häusler, E.: On martingale central limit theory. In: Eberlein, E., Taqqu, M. (eds.) Dependence in Probability and Statistics. In: Progress in Probability and Statistics, vol. 11. Birkhauser, pp. 303–335 (1986)
Giné, E., Latala, R., Zinn, J.: Exponential and moment inequalities for U-statistics. In: Giné, E., Mason, D., Wellner, J.A. (eds.) High Dimensional Probability II. Progress Probab. Vol. 47, pp. 13–38. Birkhäuser, Boston (2000)
Giraudo, D.: Invariance principle via orthomartingale approximation. Stoch. Dyn. 18(06), 1850043 (2018)
Gordin, M.I.: Martingale-coboundary representation for a class of stationary random fields. Zap. Nauchn. Sem. S.-Peterburg. Otdel. Mat. Inst. Steklov. (POMI) 364, Veroyatnostn i Statistika. 14.2, 88–108, 236 (2009)
Gordin, M.I.: Martingale-coboundary representation for a class of stationary random fields. J. Math. Sci. 163, 363–374 (2009)
Katznelson, Y., Weiss, B.: Commuting measure-preserving transformations. Israel J. Math. 12(1972), 161–173 (1972)
Khoshnevisan, D.: Multiparameter Processes. An Introduction to Random Fields. Springer Monographs in Mathematics. Springer, New York (2002)
Krengel, U.: Ergodic Theorems. De Gruyter Studies in Mathematics. De Gruyter, Berlin (1985)
Milnes, H.W.: Convexity of Orlicz spaces. Pac. J. Math. 7(3), 1451–1483 (1957)
Ouchti, L., Volný, D.: A conditional CLT which fails for ergodic components. J. Theor. Probab. 21, 687–703 (2008)
Peligrad, M.: Quenched Invariance Principles via Martingale Approximation; in Asymptotic Laws and Methods in Stochastics. The Volume in Honour of Miklos Csörgő work. Springer in the Fields Institute Communications Series, pp. 121–137. Springer, New York (2015)
Peligrad, M., Zhang, Na: On the normal approximation for random fields via martingale methods. Stoch. Process. Appl. 128, 1333–1346 (2018)
Peligrad, M.: Zhang, N: Martingale approximations for random fields. Electron. Commun. Probab. 23(28), 1–9 (2018b)
Volný, D.: A central limit theorem for fields of martingale differences. C. R. Math. Acad. Sci. Paris 353, 1159–1163 (2015)
Volný, D.: Martingale-coboundary representation for stationary random field. Stoch. Dyn. 18(02), 1850011 (2018)
Volný, D.: On limit theorems for fields of martingale differences. Stoch. Process Appl. 129, 841–859 (2019)
Volný, D., Wang, Y.: An invariance principle for stationary random fields under Hannan’s condition. Stoch. Process. Appl. 124, 4012–4029 (2014)
Volný, D., Woodroofe, M.: An Example of Non-quenched Convergence in the Conditional Central Limit Theorem for Partial Sums of a Linear Process. Dependence in Analysis, Probability and Number Theory (The Phillipp Memorial Volume), Kendrick Press. pp. 317–323 (2010)
Volný, D., Woodroofe, M.: Quenched central limit theorems for sums of stationary processes. Stat. Probab. Lett. 85, 161–167 (2014)
Wang, Y., Woodroofe, M.: A new criteria for the invariance principle for stationary random fields. Stat. Sin. 23, 1673–1696 (2013)
Acknowledgements
This research was supported in part by the NSF Grant DMS–1811373. The first author would like to offer special thanks to the University of Rouen Normandie, where a large portion of this research was accomplished during her visit of the Department of Mathematics. The authors wish to thank the referee for many in-depth comments, suggestions and corrections, which have greatly improved the manuscript.
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Peligrad, M., Volný, D. Quenched Invariance Principles for Orthomartingale-Like Sequences. J Theor Probab 33, 1238–1265 (2020). https://doi.org/10.1007/s10959-019-00914-z
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DOI: https://doi.org/10.1007/s10959-019-00914-z