Abstract
Random non-Hermitian Jacobi matricesJ n of increasing dimensionn are considered. We prove that the normalized eigenvalue counting measure ofJ n converges weakly to a limiting measure μ asn→∞. We also extend to the non-Hermitian case the Thouless formula relating μ and the Lyapunov exponent of the second-order difference equation associated with the sequenceJ n . The measure μ is shown to be log-Hölder continuous. Our proofs make use of (i) the theory of products of random matrices in the form first offered by H. Furstenberg and H. Kesten in 1960 [8], and (ii) some potential theory arguments.
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Goldsheid, I.Y., Khoruzhenko, B.A. The Thouless formula for random non-Hermitian Jacobi matrices. Isr. J. Math. 148, 331–346 (2005). https://doi.org/10.1007/BF02775442
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DOI: https://doi.org/10.1007/BF02775442