Quantitative convergence conjecture for Green's functions on the percolation cluster
Quantitative convergence conjecture for Green's functions on the percolation cluster
Let be the dimension, let and be the model parameters, and let and denote the parabolic and elliptic Green's functions on the infinite percolation cluster . Let be the density of the infinite cluster, and let and be the corresponding homogenized Green's functions. For stochastic integrability, write as in the source. Fix .
Quantitative Green's-function convergence conjecture. There exists a positive constant , depending on , , and , such that for every and every with , conditionally on ,
For the elliptic Green's function, in dimension , for every , conditionally on ,
In dimension , for every , conditionally on , the limit
exists, is finite almost surely, and satisfies . Moreover, for every , conditionally on ,
The conjecture predicts optimal quantitative homogenization rates for both parabolic and elliptic Green's functions in degenerate percolation environments; the paper explicitly expects these rates to improve the exponents obtained in its theorems. The parser supplies no resolution evidence, so the conjecture is recorded as open.
Sources & referencesView supporting material
Primary source
Paul Dario and Chenlin Gu, “Quantitative homogenization of the parabolic and elliptic Green's functions on percolation clusters”, arXiv:1909.10439 (2021).
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