273 research outputs found

    Limiting dynamics for spherical models of spin glasses at high temperature

    Full text link
    We analyze the coupled non-linear integro-differential equations whose solutions is the thermodynamical limit of the empirical correlation and response functions in the Langevin dynamics for spherical p-spin disordered mean-field models. We provide a mathematically rigorous derivation of their FDT solution (for the high temperature regime) and of certain key properties of this solution, which are in agreement with earlier derivations based on physical grounds

    Dynamic phase diagram of the REM

    Full text link
    By studying the two-time overlap correlation function, we give a comprehensive analysis of the phase diagram of the Random Hopping Dynamics of the Random Energy Model (REM) on time-scales that are exponential in the volume. These results are derived from the convergence properties of the clock process associated to the dynamics and fine properties of the simple random walk in the nn-dimensional discrete cube.Comment: This paper is in large part based on the unpublished work arXiv:1008.3849. In particular, the analysis of the overlap correlation function is new as well as the study of the high temperature and short time-scale transition line between aging and stationarit

    Convergence to extremal processes in random environments and extremal ageing in SK models

    Full text link
    This paper extends recent results on aging in mean field spin glasses on short time scales, obtained by Ben Arous and Gun [2] in law with respect to the environment, to results that hold almost surely, respectively in probability, with respect to the environment. It is based on the methods put forward in Gayrard [8,9] and naturally complements Bovier and Gayrard [6].Comment: Revised version contains minor change

    Slow relaxation, dynamic transitions and extreme value statistics in disordered systems

    Get PDF
    We show that the dynamics of simple disordered models, like the directed Trap Model and the Random Energy Model, takes place at a coexistence point between active and inactive dynamical phases. We relate the presence of a dynamic phase transition in these models to the extreme value statistics of the associated random energy landscape

    Universality of REM-like aging in mean field spin glasses

    Get PDF
    Aging has become the paradigm to describe dynamical behavior of glassy systems, and in particular spin glasses. Trap models have been introduced as simple caricatures of effective dynamics of such systems. In this Letter we show that in a wide class of mean field models and on a wide range of time scales, aging occurs precisely as predicted by the REM-like trap model of Bouchaud and Dean. This is the first rigorous result about aging in mean field models except for the REM and the spherical model.Comment: 4 page

    Aging in the random energy model

    Get PDF
    In this letter we announce rigorous results on the phenomenon of aging in the Glauber dynamics of the random energy model and their relation to Bouchaud's 'REM-like' trap model. We show that, below the critical temperature, if we consider a time-scale that diverges with the system size in such a way that equilibrium is almost, but not quite reached on that scale, a suitably defined autocorrelation function has the same asymptotic behaviour than its analog in the trap model.Comment: 4pp, P

    Spectral measure of heavy tailed band and covariance random matrices

    Full text link
    We study the asymptotic behavior of the appropriately scaled and possibly perturbed spectral measure ÎŒ\mu of large random real symmetric matrices with heavy tailed entries. Specifically, consider the N by N symmetric matrix YNσY_N^\sigma whose (i,j) entry is σ(i/N,j/N)Xij\sigma(i/N,j/N)X_{ij} where (Xij,0<i<j+1<∞)(X_{ij}, 0<i<j+1<\infty) is an infinite array of i.i.d real variables with common distribution in the domain of attraction of an α\alpha-stable law, 0<α<20<\alpha<2, and σ\sigma is a deterministic function. For a random diagonal DND_N independent of YNσY_N^\sigma and with appropriate rescaling aNa_N, we prove that the distribution ÎŒ\mu of aN−1YNσ+DNa_N^{-1}Y_N^\sigma + D_N converges in mean towards a limiting probability measure which we characterize. As a special case, we derive and analyze the almost sure limiting spectral density for empirical covariance matrices with heavy tailed entries.Comment: 31 pages, minor modifications, mainly in the regularity argument for Theorem 1.3. To appear in Communications in Mathematical Physic
    • 

    corecore