RATES OF CONVERGENCE IN INVARIANCE PRINCIPLES FOR RANDOM WALKS ON LINEAR GROUPS VIA MARTINGALE METHODS

被引:6
作者
Cuny, C. [1 ]
Dedecker, J. [2 ]
Merlevede, F. [3 ]
机构
[1] Univ Brest, Lab Math Bretagne Atlantique, UMR CNRS 6205, 6 Av Le Gorgeu, F-29238 Brest, France
[2] Univ Paris, CNRS, MAP5, UMR 8145, 45 Rue St Peres, F-75006 Paris, France
[3] Univ Paris Est Creteil, Univ Gustave Eiffel, LAMA, UMR 8050,CNRS, 5 Blvd Descartes, F-77454 Marne La Vallee, France
基金
瑞士国家科学基金会;
关键词
Random walks; strong invariance principle; Wasserstein distances; vector-valued martingales; Iwasawa cocycle; Cartan projection; CENTRAL-LIMIT-THEOREM; STRONG APPROXIMATION; PRODUCTS; KOMLOS;
D O I
10.1090/tran/8252
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we give explicit rates in the central limit theorem and in the almost sure invariance principle for general R-d-valued cocycles that appear in the study of the left random walk on linear groups. Our method of proof lies on a suitable martingale approximation and on a careful estimation of some coupling coefficients linked with the underlying Markov structure. Concerning the martingale part, the available results in the literature are not accurate enough to give almost optimal rates either in the central limit theorem for the Wasserstein distance, or in the strong approximation. A part of this paper is devoted to circumvent this issue. We then exhibit near optimal rates both in the central limit theorem in terms of the Wasserstein distance and in the almost sure invariance principle for R-d-valued martingales with stationary increments having moments of order p is an element of (2, 3] (the case of sequences of reversed martingale differences is also considered). Note also that, as an application of our results for general R-d-valued cocycles, a special attention is paid to the Iwasawa cocycle and the Cartan projection for reductive Lie groups (like for instance GL(d)(R)).
引用
收藏
页码:137 / 174
页数:38
相关论文
共 36 条
  • [1] [Anonymous], SIBIRSK MAT Z
  • [2] [Anonymous], 1991, RESULTS MATH RELATED, DOI DOI 10.1007/978-3-642-20212-4
  • [3] CENTRAL LIMIT THEOREM FOR LINEAR GROUPS
    Benoist, Yves
    Quint, Jean-Francois
    [J]. ANNALS OF PROBABILITY, 2016, 44 (02) : 1308 - 1340
  • [4] Benoist Yves, 2016, SERIES MODERN SURVEY, V62
  • [5] Benua I., 2016, IZV ROSS AKAD NAUK M, V80, P3, DOI [10.4213/im8306, DOI 10.4213/IM8306
  • [6] ENGLISH]
  • [7] KOMLOS-MAJOR-TUSNADY APPROXIMATION UNDER DEPENDENCE
    Berkes, Istvan
    Liu, Weidong
    Wu, Wei Biao
    [J]. ANNALS OF PROBABILITY, 2014, 42 (02) : 794 - 817
  • [8] Central Limit Theorems for Gromov Hyperbolic Groups
    Bjorklund, Michael
    [J]. JOURNAL OF THEORETICAL PROBABILITY, 2010, 23 (03) : 871 - 887
  • [9] Bougerol BL Philippe, 1985, PROGR PROBABILITY ST, V8
  • [10] On the Komlos, Major and Tusnady strong approximation for some classes of random iterates
    Cuny, Christophe
    Dedecker, Jerome
    Merlevede, Florence
    [J]. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2018, 128 (04) : 1347 - 1385