Quantitative H\"older Regularity, Concentration, and Spectral Applications for Lyapunov Exponents of Random GL(2,R) Cocycles, with Extensions to GL(d,R)
Abstract
This paper develops a quantitative regularity theory for the Lyapunov exponents of random products of matrices in GL(2,R), with extensions to GL(d,R) for all d ≥ 2. At every compactly supported measure with simple Lyapunov spectrum, we give an explicit closed-form H\"older exponent β*(, θ) and constant in the modulus of continuity of λ in the Wasserstein-plus-Hausdorff metric, depending only on the eccentricity of supp\,, the Lyapunov gap, and the H\"older index θ. At every ∈ Mc(GL(2,R)) we identify the log-H\"older exponent of Tall and Viana as *(, θ) = θ/(2+θ) under a natural mixing hypothesis, and θ/(8(1+θ)) 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-H\"older modulus of continuity for the integrated density of states of one-dimensional random Schr\"odinger operators with absolutely continuous disorder. The H\"older theory extends to GL(d,R) for the top exponent under spectral simplicity, and to the partial sums k = λ1 + ·s + λk under strong k-irreducibility, yielding H\"older continuity of each individual sub-top exponent. A method-optimality proposition shows that β* 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 H\"older continuity across Mc(GL(2,R)).
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