
doi: 10.1007/pl00020962
handle: 11590/156654
Author' summary: We consider massless Gaussian fields with covariance related to the Green function of a long range random walk on \({\mathbb{Z}}^d\). These are viewed as Gibbs measures for a linear-quadratic interaction. We establish thermodynamic identities and prove a version of Gibbs' variational principle, showing that translation invariant Gibbs measures are characterized as minimizers of the relative entropy density. We then study the large deviations of the empirical field of a Gibbs measure. We show that a weak large deviation principle holds at the volume order, with rate given by the relative entropy density.
variational principle, Large deviations, Gaussian processes, Interacting random processes; statistical mechanics type models; percolation theory, Random fields, Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics, harmonic crystal, large deviations
variational principle, Large deviations, Gaussian processes, Interacting random processes; statistical mechanics type models; percolation theory, Random fields, Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics, harmonic crystal, large deviations
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