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Local Limit Theorems for the Random Conductance Model and Applications to the Ginzburg–Landau $$\nabla \phi $$ Interface Model

Sebastian Andres, Peter A. Taylor

2021Journal of Statistical Physics14 citationsDOIOpen Access PDF

Abstract

Abstract We study a continuous-time random walk on $${\mathbb {Z}}^d$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:mi>Z</mml:mi></mml:mrow><mml:mi>d</mml:mi></mml:msup></mml:math> in an environment of random conductances taking values in $$(0,\infty )$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>(</mml:mo><mml:mn>0</mml:mn><mml:mo>,</mml:mo><mml:mi>∞</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math> . For a static environment, we extend the quenched local limit theorem to the case of a general speed measure, given suitable ergodicity and moment conditions on the conductances and on the speed measure. Under stronger moment conditions, an annealed local limit theorem is also derived. Furthermore, an annealed local limit theorem is exhibited in the case of time-dependent conductances, under analogous moment and ergodicity assumptions. This dynamic local limit theorem is then applied to prove a scaling limit result for the space-time covariances in the Ginzburg–Landau $$\nabla \phi $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>∇</mml:mi><mml:mi>ϕ</mml:mi></mml:mrow></mml:math> model. We also show that the associated Gibbs distribution scales to a Gaussian free field. These results apply to convex potentials for which the second derivative may be unbounded.

Topics & Concepts

MathematicsErgodicityLimit (mathematics)Central limit theoremMoment (physics)Second moment of areaGaussianStatistical physicsMathematical analysisScaling limitRandom walkScalingThermodynamic limitRandom variableRegular polygonDirectional derivativeConvergence of random variablesDonsker's theoremPure mathematicsDistribution (mathematics)Law of large numbersGibbs measureProbability distributionRandom fieldStochastic processStochastic processes and statistical mechanicsAdvanced Thermodynamics and Statistical MechanicsThermal properties of materials
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