Consider a multidimensional shift space with a countably infinite alphabet, which serves in mathematical physics as a classical lattice gas or lattice spin system. A new definition of a Gibbs measure is introduced for suitable real-valued functions of the configuration space, which play the physical role of specific internal energy. The variational principle is proved for a large class of functions, and then a more restrictive modulus of continuity condition is provided that guarantees a function's Gibbs measures to be a nonempty, weakly compact, convex set of measures that coincides with the set of measures obeying a form of the DLR equations (which has been adapted so as to be stated entirely in terms of specific internal energy instead of the Hamiltonians for an interaction potential). The variational equilibrium measures for a such a function are then characterized as the shift invariant Gibbs measures of finite entropy, and a condition is provided to determine if a function's Gibbs measures have infinite entropy or not. Moreover the spatially averaged limiting Gibbs measures, i.e. constructive equilibria, are shown to exist and their weakly closed convex hull is shown to coincide with the set of true variational equilibrium measures. It follows that the "pure thermodynamic phases", which correspond to the extreme points in the convex set of equilibrium measures, must be constructive equilibria. Finally, for an even smoother class of functions a method is presented to construct a compatible interaction potential and it is checked that the two different structures generate the same sets of Gibbs and equilibrium measures, respectively.

We study the (strong-)Gibbsian character on RZd of the law at time t of an infinitedimensional gradient Brownian diffusion / when the initial distribution is Gibbsian.

We study the (strong-)Gibbsian character on R Z d of the law at time t of an infinitedimensional gradient Brownian diffusion / when the initial distribution is Gibbsian.

We consider a system of infinitely many hard balls in R^d undergoing Brownian motions and submitted to a smooth pair potential. It is modelized by an infinite-dimensional stochastic differential equation with a local time term. We prove that the set of all equilibrium measures, solution of a detailed balance equation, coincides with the set of canonical Gibbs measures associated to the hard core potential added to the smooth interaction potential.

We consider an infinite system of hard balls in Rd undergoing Brownian motions and submitted to a smooth pair potential. It is modelized by an infinite- dimensional Stochastic Differential Equation with an infinite-dimensional local time term. Existence and uniqueness of a strong solution is proven for such an equation with fixed deterministic initial condition. We also show that Gibbs measures are reversible measures.

We consider a system of infinitely many hard balls in Rd undergoing Brownian motions and submitted to a smooth pair potential. It is modelized by an infinite-dimensional Stochastic Differential Equation with a local time term. We prove that the set of all equilibrium measures, solution of a Detailed Balance Equation, coincides with the set of canonical Gibbs measures associated to the hard core potential added to the smooth interaction potential.

The theory of Gibbs measures belongs to the borderlandbetween statistical mechanics and probability theory. In thiscontext, the physical phenomenon of phase transitioncorresponds to the mathematical concept of non-uniqueness for acertain type of probability measures. The most studied model in statistical mechanics is thecelebrated Ising model. The Potts model is a natural extensionof the Ising model, and the beach model, which appears in adifferent mathematical context, is in certain respectsanalogous to the Ising model. The two main parts of this thesisdeal with the Potts model and the beach model,respectively. For theq-state Potts model on an infinite lattice, there areq+1 basic Gibbs measures: one wired-boundary measure foreach state and one free-boundary measure. For infinite trees,we construct "new" invariant Gibbs measures that are not convexcombinations of the basic measures above. To do this, we use anextended version of the random-cluster model together withcoupling techniques. Furthermore, we investigate the rootmagnetization as a function of the inverse temperature.Critical exponents to this function for different parametercombinations are computed. The beach model, which was introduced by Burton and Steif,has many features in common with the Ising model. We generalizesome results for the Ising model to the beach model, such asthe connection between phase transition and a certain agreementpercolation event. We go on to study aq-state variant of the beach model. Using randomclustermodel methods again we obtain some results on where in theparameter space this model exhibits phase transition. Finallywe study the beach model on regular infinite trees as well.Critical values are estimated with iterative numerical methods.In different parameter regions we see indications of both firstand second order phase transition. Keywords and phrases:Potts model, beach model,percolation, randomcluster model, Gibbs measure, coupling,Markov chains on infinite trees, critical exponent.

<p>The theory of Gibbs measures belongs to the borderlandbetween statistical mechanics and probability theory. In thiscontext, the physical phenomenon of phase transitioncorresponds to the mathematical concept of non-uniqueness for acertain type of probability measures.</p><p>The most studied model in statistical mechanics is thecelebrated Ising model. The Potts model is a natural extensionof the Ising model, and the beach model, which appears in adifferent mathematical context, is in certain respectsanalogous to the Ising model. The two main parts of this thesisdeal with the Potts model and the beach model,respectively.</p><p>For the<i>q</i>-state Potts model on an infinite lattice, there are<i>q</i>+1 basic Gibbs measures: one wired-boundary measure foreach state and one free-boundary measure. For infinite trees,we construct "new" invariant Gibbs measures that are not convexcombinations of the basic measures above. To do this, we use anextended version of the random-cluster model together withcoupling techniques. Furthermore, we investigate the rootmagnetization as a function of the inverse temperature.Critical exponents to this function for different parametercombinations are computed.</p><p>The beach model, which was introduced by Burton and Steif,has many features in common with the Ising model. We generalizesome results for the Ising model to the beach model, such asthe connection between phase transition and a certain agreementpercolation event. We go on to study a<i>q</i>-state variant of the beach model. Using randomclustermodel methods again we obtain some results on where in theparameter space this model exhibits phase transition. Finallywe study the beach model on regular infinite trees as well.Critical values are estimated with iterative numerical methods.In different parameter regions we see indications of both firstand second order phase transition.</p><p><b>Keywords and phrases:</b>Potts model, beach model,percolation, randomcluster model, Gibbs measure, coupling,Markov chains on infinite trees, critical exponent.</p>

Seja $\\Sigma_(\\mathbb)$ um shift enumerável topologicamente mixing com a propriedade BIP sobre o alfabeto $\\mathbb$, $f: \\Sigma_(\\mathbb) ightarrow \\mathbb$ um potencial com variação somável e pressão topológica finita. Sob hipóteses adequadas provamos a existência de um princípio dos grandes desvios para a familia de estados de Gibbs $(\\mu_{\\beta})_{\\beta > 0}$, onde cada $\\mu_{\\beta}$ é a medida de Gibbs associada ao potencial $\\beta f$. Para fazer isso generalizamos alguns teoremas de Otimização Ergódica para shifts de Markov enumeráveis. Esse resultado generaliza o mesmo princípio no caso de um subshift topologicamente mixing sobre um alfabeto finito, previamente provado por A. Baraviera, A. Lopes e P. Thieullen. / Let $\\Sigma_(\\mathbb)$ be a topologically mixing countable Markov shift with the BIP property over the alphabet $\\mathbb$ and a potential $f: \\Sigma_(\\mathbb) ightarrow \\mathbb$ with summable variation and finite pressure. Under suitable hypotheses, we prove the existence of a large deviation principle for the family of Gibbs states $(\\mu_{\\beta})_{\\beta > 0}$ where each $\\mu_{\\beta}$ is the Gibbs measure associated to the potential $\\beta f$. For do this we generalize some theorems from finite to countable Markov shifts in Ergodic Optimization. This result generalizes the same principle in the case of topologically mixing subshifts over a finite alphabet previously proved by A. Baraviera, A. Lopes and P. Thieullen.

Seja $\\Sigma_(\\mathbb)$ um shift enumerável topologicamente mixing com a propriedade BIP sobre o alfabeto $\\mathbb$, $f: \\Sigma_(\\mathbb) ightarrow \\mathbb$ um potencial com variação somável e pressão topológica finita. Sob hipóteses adequadas provamos a existência de um princípio dos grandes desvios para a familia de estados de Gibbs $(\\mu_{\\beta})_{\\beta > 0}$, onde cada $\\mu_{\\beta}$ é a medida de Gibbs associada ao potencial $\\beta f$. Para fazer isso generalizamos alguns teoremas de Otimização Ergódica para shifts de Markov enumeráveis. Esse resultado generaliza o mesmo princípio no caso de um subshift topologicamente mixing sobre um alfabeto finito, previamente provado por A. Baraviera, A. Lopes e P. Thieullen. / Let $\\Sigma_(\\mathbb)$ be a topologically mixing countable Markov shift with the BIP property over the alphabet $\\mathbb$ and a potential $f: \\Sigma_(\\mathbb) ightarrow \\mathbb$ with summable variation and finite pressure. Under suitable hypotheses, we prove the existence of a large deviation principle for the family of Gibbs states $(\\mu_{\\beta})_{\\beta > 0}$ where each $\\mu_{\\beta}$ is the Gibbs measure associated to the potential $\\beta f$. For do this we generalize some theorems from finite to countable Markov shifts in Ergodic Optimization. This result generalizes the same principle in the case of topologically mixing subshifts over a finite alphabet previously proved by A. Baraviera, A. Lopes and P. Thieullen.