On the affine recursion on R_d+ in the critical case

Pub Date : 2021-01-01 DOI:10.30757/ALEA.V18-37
S. Brofferio, M. Peigné, Thi da Cam Pham
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引用次数: 2

Abstract

We fix d ≥ 2 and denote S the semi-group of d× d matrices with non negative entries. We consider a sequence (An, Bn)n≥1 of i. i. d. random variables with values in S × R+ and study the asymptotic behavior of the Markov chain (Xn)n≥0 on R+ defined by: ∀n ≥ 0, Xn+1 = An+1Xn +Bn+1, where X0 is a fixed random variable. We assume that the Lyapunov exponent of the matrices An equals 0 and prove, under quite general hypotheses, that there exists a unique (infinite) Radon measure λ on (R+)d which is invariant for the chain (Xn)n≥0. The existence of λ relies on a recent work by T.D.C. Pham about fluctuations of the norm of product of random matrices [16]. Its unicity is a consequence of a general property, called “local contractivity”, highlighted about 20 years ago by M. Babillot, Ph. Bougerol et L. Elie in the case of the one dimensional affine recursion [1] .
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临界情况下R_d+上的仿射递归
我们定d≥2,并将S记为具有非负项的d× d矩阵的半群。我们考虑一个序列(An, Bn)n≥1,包含i. i. d个值在S × R+中的随机变量,并研究马尔可夫链(Xn)n≥0在R+上的渐近性:∀n≥0,Xn+1 = An+1Xn +Bn+1,其中X0是一个固定的随机变量。我们假设矩阵An的Lyapunov指数等于0,并在相当一般的假设下证明在(R+)d上存在一个唯一的(无限的)Radon测度λ,该测度对于链(Xn)n≥0是不变的。λ的存在依赖于T.D.C. Pham最近关于随机矩阵乘积范数涨落的研究[16]。它的唯一性是一个一般性质的结果,称为“局部收缩性”,大约20年前由M. babilllot, Ph. Bougerol和L. Elie在一维仿射递推的情况下强调[1]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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