Scaling limit of the directional conductivity of random resistor networks on simple point processes
A. Faggionato

TL;DR
This paper establishes the asymptotic behavior of directional conductivity in random resistor networks on point processes, showing convergence to eigenvalues of an effective matrix and covering various models including percolation and amorphous solids.
Contribution
It provides a general proof of the scaling limit of directional conductivity for a wide class of random resistor networks with unbounded filament lengths, extending previous results.
Findings
Directional conductivity converges to eigenvalues of the effective matrix D.
Results apply to models like lattice, continuum percolation, and amorphous solids.
Extends bounds consistent with Mott's law for conduction in disordered materials.
Abstract
We consider random resistor networks with nodes given by a point process on and with random conductances. The length range of the electrical filaments can be unbounded. We assume that the randomness is stationary and ergodic w.r.t. the action of the group , given by or . This action is covariant w.r.t. translations on the Euclidean space. Under minimal assumptions we prove that a.s. the suitably rescaled directional conductivity of the resistor network along the principal directions of the effective homogenized matrix converges to the corresponding eigenvalue of times the intensity of the point process. More generally, we prove a quenched scaling limit of the directional conductivity along any vector . Our results cover plenty of models including e.g. the standard conductance model…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Theoretical and Computational Physics · Graph theory and applications
