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      Energy-dependent correlations in the \(S\)-matrix of chaotic systems

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          Abstract

          The \(M\)-dimensional unitary matrix \(S(E)\), which describes scattering of waves is in general a strongly fluctuating function of the energy, specially for complex systems such as ballistic cavities whose geometry induces chaotic ray dynamics. Its statistical behaviour can be expressed by means of the correlation functions of the kind \(\left \langle S_{ij}(E)S^\dag_{pq}(E)\right\rangle\). These correlations, involving an arbitrary number of matrix elements, have been much studied within the random matrix approach, in which \(S(E)\) is taken to be uniformly distributed either in the Circular Unitary or Circular Orthogonal ensembles, depending on whether or not time-reversal symmetry is present. In this work, we generalize these results to the situation when matrix elements taken at two different energies, e.g. \(\left \langle S_{ij}(E+\epsilon)S^\dag_{pq}(E-\epsilon)\right\rangle\). We express these functions as infinite series in \(1/M\), whose coefficients are rational functions of \(\epsilon\). From a mathematical point of view, this may be seen as a parametric generalization of the Weingarten functions of circular ensembles.

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          Chaotic Dirac billiard in graphene quantum dots

          We report on transport characteristics of quantum dot devices etched entirely in graphene. At large sizes, they behave as conventional single-electron transistors, exhibiting periodic Coulomb blockade peaks. For quantum dots smaller than 100 nm, the peaks become strongly non-periodic indicating a major contribution of quantum confinement. Random peak spacing and its statistics are well described by the theory of chaotic neutrino (Dirac) billiards. Short constrictions of only a few nm in width remain conductive and reveal a confinement gap of up to 0.5eV, which demonstrates the in-principle possibility of molecular-scale electronics based on graphene.
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            Correlations between Periodic Orbits and their R?le in Spectral Statistics

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              Cross-Section Fluctuations in Chaotic Scattering

              For the theoretical prediction of cross-section fluctuations in chaotic scattering, the cross-section autocorrelation function is needed. That function is not known analytically. Using experimental data and numerical simulations, we show that an analytical approximation to the cross-section autocorrelation function can be obtained with the help of expressions first derived by Davis and Boose. Given the values of the average S-matrix elements and the mean level density of the scattering system, one can then reliably predict cross-section fluctuations.
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                Author and article information

                Journal
                2016-07-11
                Article
                1607.03168
                ba19c859-7aad-4861-b6b2-4f3f2972c84f

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                math-ph math.CO math.MP nlin.CD

                Mathematical physics,Combinatorics,Mathematical & Computational physics,Nonlinear & Complex systems

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