2021/11/20 by Hui Xiao, Ion Grama, Xiao, Hui +3
Mathematics · #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Mathematical Dynamics and Fractals #Probability (math.PR) #Stochastic processes and statistical mechanics
paper · pdf · doi:10.48550/arxiv.2111.10569
openalex publication_date 2021/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Let (gn)n≥ 1 be a sequence of independent and identically distributed random elements with law μ on the general linear group \textrmGL(V), where V=\mathbb Rd. Consider the random walk Gn : = gn … g1, n ≥ 1, and the coefficients ⟨ f, Gn v ⟩, where v ∈ V and f ∈ V^*. Under suitable moment assumptions on μ, we prove the strong and weak laws of large numbers and the central limit theorem for ⟨ f, Gn v ⟩, which improve the previous results established under the exponential moment condition on μ. We further demonstrate the Berry-Esseen bound, the Edgeworth expansion, the Cramér type moderate deviation expansion and the local limit theorem with moderate deviations for ⟨ f, Gn v ⟩ under the exponential moment condition. Under a subexponential moment condition on μ, we also show a Berry-Esseen type bound and the moderate deviation principle for ⟨ f, Gn v ⟩. Our approach is based on various versions of the Hölder regularity of the invariant measure of the Markov chain Gn ⋅ x = \mathbb R Gn v on the projective space of V with the starting point x = \mathbb R v.