In this paper, we study the mixing time of two widely used Markov chain algorithms for the six-vertex model, Glauber dynamics and the directed-loop algorithm, on the square lattice Z^2. We prove, for the first time that, on finite regions of the square lattice these Markov chains are torpidly mixing under parameter settings in the ferroelectric phase and the anti-ferroelectric phase
We study the $q$-state ferromagnetic Potts model on the $n$-vertex complete graph known as the mean-...
We study the q-state ferromagnetic Potts model on the n-vertex complete graph known as the mean-fiel...
AbstractWe study the problem of sampling uniformly at random from the set of k-colorings of a graph ...
The six-vertex model in statistical physics is a weighted generalization of the ice model on Z^2 (i....
We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangula...
Statistical mechanics bridges the fields of physics and probability theory, providing critical insig...
In this thesis we consider the anti-ferromagnetic Potts model on lattice graphs. A spin system under...
We survey the connections between the six-vertex (square ice) model of 2d statistical mechanics and ...
We construct an irreversible local Markov dynamics on configurations of up-right paths on a discrete...
We study the behavior of configurations in the symmetric six-vertex model with $a,b,c$ weights in th...
The random-cluster (FK) model is a key tool for the study of phase transitions and for the design of...
We study the q-state ferromagnetic Potts model on the n-vertex complete graph known as the mean-fiel...
We show that for all sufficiently large d, the uniform proper 3-coloring model (in physics called th...
Spin systems, or undirected graphical models, are important tools for modeling joint distributions o...
We present several results on the mixing time of the Glauber dynamics for sampling from the Gibbs di...
We study the $q$-state ferromagnetic Potts model on the $n$-vertex complete graph known as the mean-...
We study the q-state ferromagnetic Potts model on the n-vertex complete graph known as the mean-fiel...
AbstractWe study the problem of sampling uniformly at random from the set of k-colorings of a graph ...
The six-vertex model in statistical physics is a weighted generalization of the ice model on Z^2 (i....
We study two widely used algorithms, Glauber dynamics and the Swendsen-Wang algorithm, on rectangula...
Statistical mechanics bridges the fields of physics and probability theory, providing critical insig...
In this thesis we consider the anti-ferromagnetic Potts model on lattice graphs. A spin system under...
We survey the connections between the six-vertex (square ice) model of 2d statistical mechanics and ...
We construct an irreversible local Markov dynamics on configurations of up-right paths on a discrete...
We study the behavior of configurations in the symmetric six-vertex model with $a,b,c$ weights in th...
The random-cluster (FK) model is a key tool for the study of phase transitions and for the design of...
We study the q-state ferromagnetic Potts model on the n-vertex complete graph known as the mean-fiel...
We show that for all sufficiently large d, the uniform proper 3-coloring model (in physics called th...
Spin systems, or undirected graphical models, are important tools for modeling joint distributions o...
We present several results on the mixing time of the Glauber dynamics for sampling from the Gibbs di...
We study the $q$-state ferromagnetic Potts model on the $n$-vertex complete graph known as the mean-...
We study the q-state ferromagnetic Potts model on the n-vertex complete graph known as the mean-fiel...
AbstractWe study the problem of sampling uniformly at random from the set of k-colorings of a graph ...