2010
DOI: 10.1007/s10955-010-9986-8
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The Random Phase Property and the Lyapunov Spectrum for Disordered Multi-channel Systems

Abstract: A random phase property establishing a link between quasi-one-dimensional random Schrödinger operators and full random matrix theory is advocated. Briefly summarized it states that the random transfer matrices placed into a normal system of coordinates act on the isotropic frames and lead to a Markov process with a unique invariant measure which is of geometric nature. On the elliptic part of the transfer matrices, this measure is invariant under the full hermitian symplectic group of the universality class un… Show more

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Cited by 10 publications
(30 citation statements)
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“…This turns out to be possible by comparing the random dynamics (1) generated by (3) with the random dynamics generated by 1 + λr n U n instead of T n , that is, the case of R = 1 which has no hyperbolicity. The comparison of the cumulative distribution function (16) under these two random dynamics is based on the next lemma.…”
Section: Lemma 4 the Random Variablementioning
confidence: 99%
“…This turns out to be possible by comparing the random dynamics (1) generated by (3) with the random dynamics generated by 1 + λr n U n instead of T n , that is, the case of R = 1 which has no hyperbolicity. The comparison of the cumulative distribution function (16) under these two random dynamics is based on the next lemma.…”
Section: Lemma 4 the Random Variablementioning
confidence: 99%
“…Remark 5) such that ρ 0 = 1 M . This property is called the random phase property in [22] which is related to the maximal entropy Ansatz in the physics literature. Section 5 can be read directly at this point if Theorem 2 is accepted without proof.…”
Section: Recall That μ(Dx) Denotes the Riemannian Volume Measure On Mmentioning
confidence: 99%
“…Let us recall how the general framework of the Introduction is applied in the present situation: the Lie group is G = U(L, L) acting on the compact flag manifold M by (23); equation (22) shows that the rotation is R = R k and the random perturbation P 1,σ = P σ , while P n,σ = 0 for n ≥ 2. Objects of interest are now the L positive Lyapunov exponents γ l,λ (E), l = 1, .…”
Section: Randomly Coupled Wiresmentioning
confidence: 99%
“…The noise term in the transfer matrix evolution in this scaling regime for block Jacobi matrices has been studied in the paper by Römer and Schulz-Baldes [15] using a language different from SDEs. The first arxiv version of the present paper was followed by the preprint of the paper by Bachmann and De Roeck [3], who, in independent work, also study SDE limits of transfer matrices.…”
Section: Introductionmentioning
confidence: 99%