Scaling limit of additive functionals for 2D reversible non-gradient exclusion process established for local centered and higher-degree functions using quantitative homogenization of the resolvent.
Quantitative homogenization for the critical long-range random conductance model
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
We consider the long-range random conductance model on $\mathbb{Z}^d$ at the critical exponent: the jump rate between sites $x$ and $y$ decays as $\mathbf{a}(x,y) |x-y|^{-(d+2)}$, where $\mathbf{a}(x,y)$ are i.i.d. uniformly elliptic conductances. Below the critical exponent $(d+2)$ the walk converges to a stable process; above it, to Brownian motion with diffusive $\sqrt{t}$ scaling. At criticality the second moment of the jump kernel diverges logarithmically. We establish quantitative homogenization of the associated elliptic equation to the Laplacian at the rate $1/\sqrt{|\ln\varepsilon|}$. As a consequence, we deduce quenched convergence of the random walk to Brownian motion under the anomalous $\sqrt{t \log t}$ scaling. Unlike in standard homogenization, the effective diffusivity is determined by the mean conductance alone, with no corrector contribution at leading order.
fields
math.PR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proves quantitative Einstein relation with explicit quenched algebraic rate for reversible diffusions in random environments.
citing papers explorer
-
Scaling limit of additive functionals for reversible non-gradient exclusion process: critical cases
Scaling limit of additive functionals for 2D reversible non-gradient exclusion process established for local centered and higher-degree functions using quantitative homogenization of the resolvent.
-
Quantitative Einstein relation for reversible diffusions in a random environment
Proves quantitative Einstein relation with explicit quenched algebraic rate for reversible diffusions in random environments.