Effect of Dimensionality on the Percolation Thresholds of Various $d$-Dimensional Lattices
Salvatore Torquato, Yang Jiao

TL;DR
This paper analytically derives bounds on percolation thresholds for various high-dimensional lattices, improving understanding of percolation behavior as the dimension increases and validating these bounds against simulations up to 13 dimensions.
Contribution
It introduces new analytical bounds on percolation thresholds for multiple high-dimensional lattices, refining previous estimates and providing asymptotic expansions for large dimensions.
Findings
Bounds become tighter with increasing dimension
Analytical estimates align well with simulation data in high dimensions
Derived asymptotic expansions for percolation thresholds
Abstract
We show analytically that the , and Pad{\'e} approximants of the mean cluster number for site and bond percolation on general -dimensional lattices are upper bounds on this quantity in any Euclidean dimension , where is the occupation probability. These results lead to certain lower bounds on the percolation threshold that become progressively tighter as increases and asymptotically exact as becomes large. These lower-bound estimates depend on the structure of the -dimensional lattice and whether site or bond percolation is being considered. We obtain explicit bounds on for both site and bond percolation on five different lattices: -dimensional generalizations of the simple-cubic, body-centered-cubic and face-centered-cubic Bravais lattices as well as the -dimensional generalizations of the diamond and kagom{\'e} (or…
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