Derived from
|
20410419 MS410-Statistical Mechanics in Computational Sciences LM-40 GIULIANI ALESSANDRO
(syllabus)
INTRODUCTION TO STATISTICAL MECHANICS AND GIBBS STATES – Review of equilibrium thermodynamics. Convex functions and Legendre transform. – Models of statistical mechanics: microcanonical, canonical and grandcanonical ensembles. Gibbs states. – Models of lattice gases and Ising spins. The theorem of existence of thermodynamic limit for Ising models. Equivalence of the ensembles. – The structure of Gibbs states. Extremal states and mixtures. The notion of phase transition: loss of analyticity and non-uniqueness of the Gibbs states
THE ISING MODEL – Known results on the ferromagnetic Ising model in dimensions one or more – GKS and FKG inequalities. Existence of the infinite volume Gibbs states with + or - boundary conditions – The one-dimensional Ising model: exact solution via the transfer matrix formalism. Absence of a phase transition and exponential decay of correlations. – The mean field Ising model (Curie-Weiss model): exact solution. Phase transition and loss of equivalence between canonical free energy and grandcanonical pressure. Connection between the mean field model and the model in dimension d with weak, long-ranged, interactions (Kac interactions): the theorem of Lebowitz-Penrose - Geometric representation of the 2D Ising model: high and low temperature contours. Existence of a phase transition in the 2D nearest neighbor Ising model: the Peierls argument. Analyticity of the pressure at high temperatures. – The Lee-Yang theorem – Existence of a phase transition in the long range 1D Ising model with interaction |x-y|^{-p}, 1
(reference books)
S. Friedli and Y. Velenik: Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction, Cambridge: Cambridge University Press, 2017. Disponibile online in preprint version su https://www.unige.ch/math/folks/velenik/smbook/index.html
|