Random 2D linear cocycles II: statistical properties

Consider the space of two dimensional random linear cocycles over a shift in finitely many symbols, with at least one singular and one invertible matrix. We provide an explicit formula for the unique stationary measure associated to such cocycles and establish a Furstenberg-type formula characterizing the Lyapunov exponent. Using the spectral properties of the corresponding Markov operator and a parameter elimination argument, we prove that Lebesgue almost every cocycle in this space satisfies large deviations estimates and a central limit theorem.

Publication Details

Journal
ArXiv.org
Published
2025-04-30
Primary Topic
Random Matrices and Applications
Type
article
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article

Random 2D linear cocycles II: statistical properties

ArXiv.org
Random Matrices and Applications
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Random 2D linear cocycles II: statistical properties

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Abstract

Consider the space of two dimensional random linear cocycles over a shift in finitely many symbols, with at least one singular and one invertible matrix. We provide an explicit formula for the unique stationary measure associated to such cocycles and establish a Furstenberg-type formula characterizing the Lyapunov exponent. Using the spectral properties of the corresponding Markov operator and a parameter elimination argument, we prove that Lebesgue almost every cocycle in this space satisfies large deviations estimates and a central limit theorem.

ArXiv.org
Openalex Percentile: Top 45%
Random Matrices and Applications
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Random 2D linear cocycles II: statistical properties · ArXiv.org (2025) | TGRS Research Map | TGRS