21,220 research outputs found

    A First-Order Dynamical Transition in the displacement distribution of a Driven Run-and-Tumble Particle

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    We study the probability distribution P(XN=X,N)P(X_N=X,N) of the total displacement XNX_N of an NN-step run and tumble particle on a line, in presence of a constant nonzero drive EE. While the central limit theorem predicts a standard Gaussian form for P(X,N)P(X,N) near its peak, we show that for large positive and negative XX, the distribution exhibits anomalous large deviation forms. For large positive XX, the associated rate function is nonanalytic at a critical value of the scaled distance from the peak where its first derivative is discontinuous. This signals a first-order dynamical phase transition from a homogeneous `fluid' phase to a `condensed' phase that is dominated by a single large run. A similar first-order transition occurs for negative large fluctuations as well. Numerical simulations are in excellent agreement with our analytical predictions.Comment: 35 pages, 5 figures. An algebraic error in Appendix B of the previous version of the manuscript has been corrected. A new argument for the location zcz_c of the transition is reported in Appendix B.

    Survival probability of an immobile target surrounded by mobile traps

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    We study analytically, in one dimension, the survival probability Ps(t)P_{s}(t) up to time tt of an immobile target surrounded by mutually noninteracting traps each performing a continuous-time random walk (CTRW) in continuous space. We consider a general CTRW with symmetric and continuous (but otherwise arbitrary) jump length distribution f(η)f(\eta) and arbitrary waiting time distribution ψ(τ)\psi(\tau). The traps are initially distributed uniformly in space with density ρ\rho. We prove an exact relation, valid for all time tt, between Ps(t)P_s(t) and the expected maximum E[M(t)]E[M(t)] of the trap process up to time tt, for rather general stochastic motion xtrap(t)x_{\rm trap}(t) of each trap. When xtrap(t)x_{\rm trap}(t) represents a general CTRW with arbitrary f(η)f(\eta) and ψ(τ)\psi(\tau), we are able to compute exactly the first two leading terms in the asymptotic behavior of E[M(t)]E[M(t)] for large tt. This allows us subsequently to compute the precise asymptotic behavior, Ps(t)aexp[btθ]P_s(t)\sim a\, \exp[-b\, t^{\theta}], for large tt, with exact expressions for the stretching exponent θ\theta and the constants aa and bb for arbitrary CTRW. By choosing appropriate f(η)f(\eta) and ψ(τ)\psi(\tau), we recover the previously known results for diffusive and subdiffusive traps. However, our result is more general and includes, in particular, the superdiffusive traps as well as totally anomalous traps

    Top eigenvalue of a random matrix: large deviations and third order phase transition

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    We study the fluctuations of the largest eigenvalue λmax\lambda_{\max} of N×NN \times N random matrices in the limit of large NN. The main focus is on Gaussian β\beta-ensembles, including in particular the Gaussian orthogonal (β=1\beta=1), unitary (β=2\beta=2) and symplectic (β=4\beta = 4) ensembles. The probability density function (PDF) of λmax\lambda_{\max} consists, for large NN, of a central part described by Tracy-Widom distributions flanked, on both sides, by two large deviations tails. While the central part characterizes the typical fluctuations of λmax\lambda_{\max} -- of order O(N2/3){\cal O}(N^{-2/3}) --, the large deviations tails are instead associated to extremely rare fluctuations -- of order O(1){\cal O}(1). Here we review some recent developments in the theory of these extremely rare events using a Coulomb gas approach. We discuss in particular the third-order phase transition which separates the left tail from the right tail, a transition akin to the so-called Gross-Witten-Wadia phase transition found in 2-d lattice quantum chromodynamics. We also discuss the occurrence of similar third-order transitions in various physical problems, including non-intersecting Brownian motions, conductance fluctuations in mesoscopic physics and entanglement in a bipartite system.Comment: 32 pages, 8 figures, contribution to Statphys25 (Seoul, 2013) proceedings. Revised version where references have been added and typos correcte
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