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We extend to the random K-SAT and p-XOR-SAT optimization problems the results obtained for the Viana-Bray model of diluted mean field spin glass.

Disordered Systems and Neural Networks · Physics 2009-11-10 Luca De Sanctis

In two papers Franz, Leone and Toninelli proved bounds for the free energy of diluted random constraints satisfaction problems, for a Poisson degree distribution [5] and a general distribution [6]. Panchenko and Talagrand [16] simplified…

Probability · Mathematics 2018-03-14 Marc Lelarge , Mendes Oulamara

In this paper we extend replica bounds and free energy subadditivity arguments to diluted spin-glass models on graphs with arbitrary, non-Poissonian degree distribution. The new difficulties specific of this case are overcome introducing an…

Disordered Systems and Neural Networks · Physics 2009-11-10 Silvio Franz , Michele Leone , Fabio Lucio Toninelli

In an important recent paper, \cite{FL}, S. Franz and M. Leone prove rigorous lower bounds for the free energy of the diluted $p$-spin model and the $K$-sat model at any temperature. We show that the results for these two models are…

Probability · Mathematics 2011-11-10 Dmitry Panchenko , Michel Talagrand

This thesis is divided in two parts. The first presents an overview of known results in statistical mechanics of disordered systems and its approach to random combinatorial optimization problems. The second part is a discussion of two…

Statistical Mechanics · Physics 2008-01-21 Fabrizio Altarelli

In this paper we analyze the structure of the UNSAT-phase of the overconstrained 3-SAT model by studying the low temperature phase of the associated disordered spin model. We derive the $\infty$ Replica Symmetry Broken equations for a…

Statistical Mechanics · Physics 2009-11-07 A. Crisanti , L. Leuzzi , G. Parisi

We present a new method to solve the dynamics of disordered spin systems on finite time-scales. It involves a closed driven diffusion equation for the joint spin-field distribution, with time-dependent coefficients described by a dynamical…

Condensed Matter · Physics 2009-10-28 A. C. C. Coolen , S. N. Laughton , D. Sherrington

We use the replica method in order to obtain an expression for the variational free energy of an Ising ferromagnet on a Viana-Bray lattice in the presence of random external fields. Introducing a global order parameter, in the…

Disordered Systems and Neural Networks · Physics 2009-11-10 M. O. Hase , J. R. L. de Almeida , S. R. Salinas

The Random K-Satisfiability Problem, consisting in verifying the existence of an assignment of N Boolean variables that satisfy a set of M=alpha N random logical clauses containing K variables each, is studied using the replica symmetric…

Disordered Systems and Neural Networks · Physics 2009-10-28 R. Monasson , R. Zecchina

We study a simple and exactly solvable model for the generation of random satisfiability problems. These consist of $\gamma N$ random boolean constraints which are to be satisfied simultaneously by $N$ logical variables. In…

Disordered Systems and Neural Networks · Physics 2009-10-31 F. Ricci-Tersenghi , M. Weigt , R. Zecchina

In this paper, we study the Crisanti-Sommers variational problem, which is a variational formula for the free energy of spherical mixed $p$-spin glasses. We begin by computing the dual of this problem using a min-max argument. We find that…

Probability · Mathematics 2018-08-06 Aukosh Jagannath , Ian Tobasco

We present a unifying approach to studying the replica symmetric solution in general diluted spin glass models on random $p$-uniform hypergraphs with sparsity parameter $\alpha$. Our result shows that there exist two key regimes in which…

Probability · Mathematics 2024-10-22 Ratul Biswas , Wei-Kuo Chen , Arnab Sen

In this paper, we study the high temperature or low connectivity phase of the Viana-Bray model. This is a diluted version of the well known Sherrington-Kirkpatrick mean field spin glass. In the whole replica symmetric region, we obtain a…

Disordered Systems and Neural Networks · Physics 2007-05-23 Francesco Guerra , Fabio Lucio Toninelli

Discrete combinatorial optimization has a central role in many scientific disciplines, however, for hard problems we lack linear time algorithms that would allow us to solve very large instances. Moreover, it is still unclear what are the…

Computational Complexity · Computer Science 2018-12-19 Raffaele Marino , Giorgio Parisi , Federico Ricci-Tersenghi

We develop a systematic cluster expansion for dilute systems in the highly dilute phase. We first apply it to the calculation of the entropy of the K-satisfiability problem in the satisfiable phase. We derive a series expansion in the…

Statistical Mechanics · Physics 2009-11-07 Guilhem Semerjian , Leticia F. Cugliandolo

Random constraint satisfaction problems (CSPs) such as random $3$-SAT are conjectured to be computationally intractable. The average case hardness of random $3$-SAT and other CSPs has broad and far-reaching implications on problems in…

Computational Complexity · Computer Science 2019-11-11 Jonah Brown-Cohen , Prasad Raghavendra

A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our variational scheme accurately reproduces the known replica…

Disordered Systems and Neural Networks · Physics 2009-10-31 Giulio Biroli , Remi Monasson , Martin Weigt

In these short notes, we adapt and systematically apply Guerra's interpolation techniques on a class of disordered mean-field spin glasses equipped with crystal fields and multi-value spin variables. These models undergo the phenomenon of…

Disordered Systems and Neural Networks · Physics 2025-05-12 Linda Albanese , Adriano Barra , Emilio N. M. Cirillo

The spherical $p$-spin is a fundamental model for glassy physics, thanks to its analytic solution achievable via the replica method. Unfortunately the replica method has some drawbacks: it is very hard to apply to diluted models and the…

Statistical Mechanics · Physics 2021-02-08 Giacomo Gradenigo , Maria Chiara Angelini , Luca Leuzzi , Federico Ricci-Tersenghi

Diluted mean-field models are spin systems whose geometry of interactions is induced by a sparse random graph or hypergraph. Such models play an eminent role in the statistical mechanics of disordered systems as well as in combinatorics and…

Discrete Mathematics · Computer Science 2018-03-14 Amin Coja-Oghlan , Charilaos Efthymiou , Nor Jaafari , Mihyun Kang , Tobias Kapetanopoulos
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