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      Operator Spreading in Random Unitary Circuits

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      Physical Review X
      American Physical Society (APS)

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          Large-distance and long-time properties of a randomly stirred fluid

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            Level-Spacing Distributions and the Airy Kernel

            Scaling level-spacing distribution functions in the ``bulk of the spectrum'' in random matrix models of \(N\times N\) hermitian matrices and then going to the limit \(N\to\infty\), leads to the Fredholm determinant of the sine kernel \(\sin\pi(x-y)/\pi (x-y)\). Similarly a scaling limit at the ``edge of the spectrum'' leads to the Airy kernel \([{\rm Ai}(x) {\rm Ai}'(y) -{\rm Ai}'(x) {\rm Ai}(y)]/(x-y)\). In this paper we derive analogues for this Airy kernel of the following properties of the sine kernel: the completely integrable system of P.D.E.'s found by Jimbo, Miwa, M{\^o}ri and Sato; the expression, in the case of a single interval, of the Fredholm determinant in terms of a Painlev{\'e} transcendent; the existence of a commuting differential operator; and the fact that this operator can be used in the derivation of asymptotics, for general \(n\), of the probability that an interval contains precisely \(n\) eigenvalues.
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              Shape Fluctuations and Random Matrices

              We study a certain random groeth model in two dimensions closely related to the one-dimensional totally asymmetric exclusion process. The results show that the shape fluctuations, appropriately scaled, converges in distribution to the Tracy-Widom largest eigenvalue distribution for the Gaussian Unitary Ensemble.
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                Author and article information

                Journal
                PRXHAE
                Physical Review X
                Phys. Rev. X
                American Physical Society (APS)
                2160-3308
                April 2018
                April 11 2018
                : 8
                : 2
                Article
                10.1103/PhysRevX.8.021014
                5b04583d-a75c-4b86-ad4e-d258c61b1881
                © 2018

                https://creativecommons.org/licenses/by/4.0/

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