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20022022
most citedConvergence in Energy-Lowering (Disordered) Stochastic Spin Systems

1 citations · 1 across the 5 of their papers we have counts for

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math.PR2022

Existence and construction of voting situations concordant with ranking patterns

Emilio De Santis, Fabio Spizzichino

Referring to a standard context of voting theory, and to the classic notion of voting situation, here we show that it is possible to observe any arbitrary set of elections' outcome…

math.PR2019

Infinite paths on a random environment of with bounded and recurrent sums

Emilio De Santis, Mauro Piccioni

This paper considers a random structure on the lattice of the following kind. To each edge a random variable is assigned, together with a random sign $Y_e…

math.PR2019

Stochastic precedence and minima among dependent variables

Emilio De Santis, Yaakov Malinovsky, Fabio Spizzichino

The notion of stochastic precedence between two random variables emerges as a relevant concept in several fields of applied probability. When one consider a vector of random variab…

math.PR2013

Perfect simulation for the infinite random cluster model, Ising and Potts models at low or high temperature

Emilio De Santis, Andrea Maffei

In this article we create a new algorithm for the perfect simulation of the infinite Potts model at a sufficiently small or at a sufficiently high temperature, in particular under…

math.PR2005

A class of stochastic games with infinitely many interacting agents related to Glauber dynamics on random graphs

Emilio De Santis, Carlo Marinelli

We introduce and study a class of infinite-horizon non-zero-sum non-cooperative stochastic games with infinitely many interacting agents using ideas of statistical mechanics. First…

math.PR2002★ 1 cited

Convergence in Energy-Lowering (Disordered) Stochastic Spin Systems

Emilio De Santis, Charles M. Newman

We consider stochastic processes, S^t \equiv (S_x^t : x \in Z^d), with each S_x^t taking values in some fixed finite set, in which spin flips (i.e., changes of S_x^t) do not raise…