Quantitative H\"older Regularity, Concentration, and Spectral Applications for Lyapunov Exponents of Random $\operatorname{GL}(2,\mathbb{R})$ Cocycles, with Extensions to $\operatorname{GL}(d,\mathbb{R})$
Abdoulaye Thiam

TL;DR
This paper establishes a comprehensive quantitative regularity framework for Lyapunov exponents of random matrix products in GL(2,R), extending to higher dimensions, with explicit exponents, concentration inequalities, and spectral applications.
Contribution
It introduces explicit H"older exponents and constants for Lyapunov exponents, extending regularity results to higher dimensions and various spectral quantities, with optimality and lower bounds.
Findings
Explicit H"older exponents depend only on support eccentricity, spectral gap, and H"older index.
Derived large deviation principles and concentration inequalities for Lyapunov exponents.
Extended regularity results to higher-dimensional GL(d,R) and partial sums under irreducibility.
Abstract
This paper develops a quantitative regularity theory for the Lyapunov exponents of random products of matrices in , with extensions to for all . At every compactly supported measure with simple Lyapunov spectrum, we give an explicit closed-form H\"older exponent and constant in the modulus of continuity of in the Wasserstein-plus-Hausdorff metric, depending only on the eccentricity of , the Lyapunov gap, and the H\"older index . At every we identify the log-H\"older exponent of Tall and Viana as under a natural mixing hypothesis, and in the perpetuity regime. The same spectral-gap method yields a large deviation…
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