Quantitative Analyticity for Lyapunov Exponents of Random Products of Matrices with Explicit Polydiscs and Cauchy Coefficient Bounds
Abdoulaye Thiam

TL;DR
This paper provides explicit quantitative bounds and analytic properties of the top Lyapunov exponent for random matrix products, extending to Markov chains and higher dimensions with optimal constants.
Contribution
It establishes explicit polydisc bounds, Cauchy coefficient estimates, and joint analyticity results for Lyapunov exponents, including extensions to Markov-driven cocycles and higher dimensions.
Findings
Explicit polydisc of holomorphy for Lyapunov exponents.
Closed-form Cauchy bounds on Taylor coefficients.
Joint analyticity in weights and matrix entries.
Abstract
The top Lyapunov exponent of a random product of matrices in , , with simple top spectrum, depends real-analytically on the probability weights and the matrix coefficients . 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 in , 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 and the matrix entries , with explicit radii in both; (iv) an extension to Markov-chain driven cocycles, with polydisc radius explicit…
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