Quantitative Analyticity for Lyapunov Exponents of Random Products of Matrices with Explicit Polydiscs and Cauchy Coefficient Bounds
Abstract
The top Lyapunov exponent λ+(A, p) of a random product of matrices in GL(d, R), d ≥ 2, with simple top spectrum, depends real-analytically on the probability weights p and the matrix coefficients A. We establish a quantitative form of this analyticity through a single Kato perturbation argument on the complexified Markov operator on H\"older functions on projective space, yielding seven main theorems with explicit closed-form constants: (i) an explicit polydisc of holomorphy for p λ+(A, p) in CN, giving the quantitative form of the Peres and Bezerra-S\'anchez-Tall analyticity theorem; (ii) closed-form Cauchy bounds on its Taylor coefficients; (iii) joint analyticity in the weights p and the matrix entries A, with explicit radii in both; (iv) an extension to Markov-chain driven cocycles, with polydisc radius explicit in the chain spectral gap; (v) explicit polynomial boundary-decay rates as p approaches ∂ N, conditional on a spectral-gap-decay hypothesis; (vi) extension to GL(d, R) for all d ≥ 2 via the Fubini-Study metric; and (vii) a Grassmannian variant giving quantitative analyticity of the partial sums k = λ1 + ·s + λk under strong k-irreducibility, hence of each individual sub-top Lyapunov exponent. The polydisc radius is method-optimal within the Kato class, and a Bernstein-type result shows the Cauchy growth α! · M*/r*|α| is sharp up to constants. A two-matrix example with numerical values connects the bounds to the H\"older estimates of the companion paper Thiam (Nov. 2025).
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