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We calculate the density of stationary points and minima of a $N\gg 1$ dimensional Gaussian energy landscape. We use it to show that the point of zero-temperature replica symmetry breaking in the equilibrium statistical mechanics of a…

Disordered Systems and Neural Networks · Physics 2009-11-11 Yan V Fyodorov , H-J Sommers , Ian Williams

We obtain explicit expressions for the annealed complexities associated respectively with the total number of (i) stationary points and (ii) local minima of the energy landscape for an elastic manifold with internal dimension $d<4$ embedded…

Disordered Systems and Neural Networks · Physics 2020-03-11 Yan V Fyodorov , Pierre Le Doussal

Using the replica method we calculate the mean spectral density of the Hessian matrix at the global minimum of a random $N \gg 1$ dimensional isotropic, translationally invariant Gaussian random landscape confined by a parabolic potential…

Disordered Systems and Neural Networks · Physics 2019-03-19 Yan V Fyodorov , Pierre Le Doussal

Our goal is to discuss in detail the calculation of the mean number of stationary points and minima for random isotropic Gaussian fields on a sphere as well as for stationary Gaussian random fields in a background parabolic confinement.…

Mathematical Physics · Physics 2015-11-24 Yan V Fyodorov

We consider an elastic manifold of internal dimension $d$ and length $L$ pinned in a $N$ dimensional random potential and confined by an additional parabolic potential of curvature $\mu$. We are interested in the mean spectral density…

Disordered Systems and Neural Networks · Physics 2020-04-22 Yan V. Fyodorov , Pierre Le Doussal

We give an intuitive method--using local, cyclic replica symmetry--to isolate exponential tree decay in truncated (connected) correlations. We give an expansion and use the symmetry to show that all terms vanish, except those displaying…

Mathematical Physics · Physics 2007-06-20 Arthur Jaffe , David Moser

Systems of globally coupled logistic maps (GCLM) can display complex collective behaviour characterized by the formation of synchronous clusters. In the dynamical clustering regime, such systems possess a large number of coexisting…

Disordered Systems and Neural Networks · Physics 2009-11-07 Susanna C. Manrubia , Ugo Bastolla , Alexander S. Mikhailov

In this paper we discuss a disordered $d$-dimensional Euclidean $\lambda\varphi^{4}$ model. The dominant contribution to the average free energy of this system is written as a series of the replica partition functions of the model. In each…

High Energy Physics - Theory · Physics 2017-09-20 R. Acosta Diaz , G. Menezes , N. F. Svaiter , C. A. D. Zarro

Landscape cosmology posits the existence of a convoluted, multidimensional, scalar potential -- the "landscape" -- with vast numbers of metastable minima. Random matrices and random functions in many dimensions provide toy models of the…

High Energy Physics - Theory · Physics 2021-01-20 Lerh Feng Low , Shaun Hotchkiss , Richard Easther

Consider a correlated Gaussian random energy model built by successively adding one particle (spin) into the system and imposing the positivity of the associated covariance matrix. We show that the validity of a recently isolated condition…

Disordered Systems and Neural Networks · Physics 2009-11-10 Pierluigi Contucci , Sandro Graffi

We explore the consequences of Replica Symmetry Breaking at zero temperature. We introduce a repulsive coupling between a system and its unperturbed ground state. In the Replica Symmetry Breaking scenario a finite coupling induces a non…

Disordered Systems and Neural Networks · Physics 2013-04-30 Silvio Franz , Giorgio Parisi

We present a general and powerful numerical method useful to study the density matrix of spin models. We apply the method to finite dimensional spin glasses, and we analyze in detail the four dimensional Edwards-Anderson model with Gaussian…

Disordered Systems and Neural Networks · Physics 2009-11-07 L. Correale , E. Marinari , V. Martin-Mayor

This paper characterizes the annealed, topological complexity (both of total critical points and of local minima) of the elastic manifold. This classical model of a disordered elastic system captures point configurations with…

Probability · Mathematics 2021-05-12 Gérard Ben Arous , Paul Bourgade , Benjamin McKenna

I present here a pedagogical introduction to the works by Rashel Tublin and Yan V. Fyodorov on random linear systems with quadratic constraints, using tools from Random Matrix Theory and replicas. These notes illustrate and complement the…

Statistical Mechanics · Physics 2024-03-21 Pierpaolo Vivo

The mixed spherical models were recently found to violate long-held assumptions about mean-field glassy dynamics. In particular, the threshold energy, where most stationary points are marginal and that in the simpler pure models attracts…

Disordered Systems and Neural Networks · Physics 2024-01-03 Jaron Kent-Dobias

We investigate thermodynamics of a single classical particle placed in a spherical box of a finite radius $R$ and subject to a superposition of a $N-$dimensional Gaussian random potential and the parabolic potential with the curvature…

Disordered Systems and Neural Networks · Physics 2009-11-11 Yan V. Fyodorov , H. -J. Sommers

The order parameter P(q) for disordered systems with degenerate ground-states is reconsidered. We propose that entropy fluctuations lead to a trivial P(q) at zero temperature as in the non-degenerate case, even if there are zero-energy…

Statistical Mechanics · Physics 2009-10-31 F. Krzakala , O. C. Martin

This is the second of a series of three papers about the Elastic Manifold model. This classical model proposes a rich picture due to the competition between the inherent disorder and the smoothing effect of elasticity. In this paper, we…

Probability · Mathematics 2024-10-31 Gerard Ben Arous , Pax Kivimae

We review the circumstances under which test particles can be localized around a spacetime section \Sigma_0 smoothly contained within a codimension-1 embedding space M. If such a confinement is possible, \Sigma_0 is said to be totally…

High Energy Physics - Theory · Physics 2009-11-10 Sanjeev S. Seahra

The random energy model (REM) is the simplest spin glass model which exhibits replica symmetry breaking. It is well known since the 80's that its overlaps are non-selfaveraging and that their statistics satisfy the predictions of the…

Disordered Systems and Neural Networks · Physics 2024-08-28 Bernard Derrida , Peter Mottishaw
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