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Quantitative Hölder Regularity, Concentration, and Spectral Applications for Lyapunov Exponents of Random Cocycles, with Extensions to

arXiv:2604.24057

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 Hölder 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 Hölder index . At every we identify the log-Hölder 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 principle with explicit rate function, Hoeffding-Azuma concentration inequalities, an extension to Markov-chain driven cocycles with closed-form exponent, and a quantitative log-Hölder modulus of continuity for the integrated density of states of one-dimensional random Schrödinger operators with absolutely continuous disorder. The Hölder theory extends to for the top exponent under spectral simplicity, and to the partial sums under strong -irreducibility, yielding Hölder continuity of each individual sub-top exponent. A method-optimality proposition shows that is the best exponent obtainable from the linear balance of axioms (A1)-(A3) of the spectral-gap method; strict improvement requires either modifying these axioms or adopting a different proof strategy. A lower-bound proposition adapted from Duarte, Klein, and Santos rules out uniform Hölder continuity across .

65 pages. Key words and phrases. Lyapunov exponents, random matrix products, modulus of continuity, transfer operators, Wasserstein distance, large deviations, Schrödinger cocycles, integrated density of states

Quantitative Hölder Regularity, Concentration, and Spectral Applications for Lyapunov Exponents of Random $\operatorname{GL}(2,\mathbb{R})$ Cocycles, with Extensions to $\operatorname{GL}(d,\mathbb{R})$ · wovepaper