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dc.contributor.advisorCannas, Sergio Alejandroes
dc.contributor.authorFerrero, Eduardo Ezequieles
dc.date.accessioned2011-09-06T15:27:33Z
dc.date.available2011-09-06T15:27:33Z
dc.date.issued2011-03es
dc.identifier.urihttp://hdl.handle.net/11086/163
dc.descriptionTesis (Doctor en Física)--Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física, 2011.es
dc.description.abstractEstudiamos el modelo de Potts de q estados bidimensional, que presenta transiciones de fase magnéticas con temperatura de primer (q > 4) y segundo orden (q = 4). Trabajamos con simulaciones tipo Monte Carlo para las cuales implementamos distintas técnicas algorítmicas, incluyendo una implementación en GPUs. No obstante, presentamos también algunos resultados analíticos. Analizamos la Dinámica de Tiempos Cortos en la aproximación de Campo Medio del modelo de Potts con q=2 resolviendo exactamente la ecuación de Fokker-Planck asociada a la dinámica de Glauber. Confirmamos la validez de la hipótesis de escala de la Dinámica de Tiempos Cortos tanto cerca del punto crítico como de puntos spinodales. Mostramos que es posible definir el punto spinodal a partir del comportamiento dinámico del sistema a tiempos cortos. Estudiamos la metaestabilidad asociada a la transición de fase de primer orden para el modelo de Potts de q estados con q > 4. Realizamos un estudio sistemático de la dinámica del modelo de Potts luego de un enfriamiento brusco a temperaturas subcríticas. Para q > 4 advertimos la existencia de diferentes regímenes dinámicos, de acuerdo al rango de temperaturas. Caracterizamos estos regímenes y los correspondientes estados del sistema.es
dc.description.abstractWe analyze the bidimensional q-state Potts model, a paradigmatic model in the study of Statistical Mechanics of Critical Phenomena and Phase Transitions, which presents first (q > 4) and second order (q ≤ 4) temperature driven magnetic phase transitions and has shown a very rich dynamic phenomenology. We mostly work on Monte Carlo numerical simulations, for which we have implemented different algorithm techniques, both traditional and original, including an implementation to run code on graphics cards. Nevertheless, we also present analytic results for some cases where this approach was possible. We study the Short Time Dynamics in the Mean-Field approximation for the 2-states Potts model (the Curie-Weiss model) solving the Fockker-Planck equation associated to the Glauber dynamics for this model. We obtain closed-form expressions for the first moments of the order parameter, near to both the critical and spinodal points, starting from different initial conditions. We confirm the validity of the short-time dynamical scaling hypothesis in both cases. We show that it is possible to define the spinodal point through the short time dynamical behaviour of the system; our definition works both for meanfield and short-range interactions systems. We study the the first order phase transition associated metastability for the q-state Potts model with q >4. We show that the spinodal point is clearly separated from the transition point for all q > 4, delimiting an interval of temperatures capable to hold metastable states. We provide numerical evidence for the existence of metastable states associated to the first order phase transition. We analyze the relaxation mechanism from these states to equilibrium. We perform a systematic study about the nonequilibrium dynamics of the Potts model on the square lattice after a quench from infinite to subcritical temperatures. We analyze the long term behaviour of the energy and relaxation time for a wide range of quench temperatures and system sizes. For q > 4 we found the existence of different dynamical regimes, according to quench temperature range. We characterize those regimes and the system’s corresponding states. We analyze in detail the finite size scaling properties of different relaxation times involved, as well as their temperature dependency.en
dc.format.extent215 páginases
dc.language.isospaes
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Argentina*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ar/*
dc.subjectStochastics analysis methodsen
dc.subjectMonte Carlo methodsen
dc.subjectLattice theory and statisticsen
dc.subjectPhase transitionsen
dc.subjectClassical spin modelsen
dc.subjectStatic propertiesen
dc.subjectDomain walls and domain structuresen
dc.subject.otherDinámica de relajaciónes
dc.subject.otherModelo de Pottses
dc.subject.otherSimulaciones numéricases
dc.subject.otherSimulaciones en GPUses
dc.subject.otherEstados Metaestableses
dc.subject.otherPuntos Spinodaleses
dc.subject.otherDinámica de tiempos cortoses
dc.subject.otherEcuación de Fokker-Planckes
dc.subject.otherTransiciones de fasees
dc.subject.otherMecánica estadística de no-equilibrioes
dc.titleDinámica de relajación del modelo de Potts de q estados bidimensional: una contribución a la descripción de propiedades de no-equilibrio en transiciones de fase de primer ordenes
dc.typedoctoralThesises


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