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Critical percolation clusters in seven dimensions and on a complete graph
Phys. Rev. E 97, 022107 – Published 7 February, 2018
DOI: https://doi.org/10.1103/PhysRevE.97.022107
Abstract
We study critical bond percolation on a seven-dimensional hypercubic lattice with periodic boundary conditions (7D) and on the complete graph (CG) of finite volume (number of vertices) . We numerically confirm that for both cases, the critical number density of clusters of size obeys a scaling form with identical volume fractal dimension and exponent . We then classify occupied bonds into bridge bonds, which includes branch and junction bonds, and nonbridge bonds; a bridge bond is a branch bond if and only if its deletion produces at least one tree. Deleting branch bonds from percolation configurations produces leaf-free configurations, whereas deleting all bridge bonds leads to bridge-free configurations composed of blobs. It is shown that the fraction of nonbridge (biconnected) bonds vanishes, , for large CGs, but converges to a finite value, , for the 7D hypercube. Further, we observe that while the bridge-free dimension holds for both the CG and 7D cases, the volume fractal dimensions of the leaf-free clusters are different: and . On the CG and in 7D, the whole, leaf-free, and bridge-free clusters all have the shortest-path volume fractal dimension , characterizing their graph diameters. We also study the behavior of the number and the size distribution of leaf-free and bridge-free clusters. For the number of clusters, we numerically find the number of leaf-free and bridge-free clusters on the CG scale as , while for 7D they scale as . For the size distribution, we find the behavior on the CG is governed by a modified Fisher exponent , while for leaf-free clusters in 7D, it is governed by Fisher exponent . The size distribution of bridge-free clusters in 7D displays two-scaling behavior with exponents and . The probability distribution of the largest cluster of size for whole percolation configurations is observed to follow a single-variable function , with for both CG and 7D. Up to a rescaling factor for the variable , the probability functions for CG and 7D collapse on top of each other within the entire range of . The analytical expressions in the and limits are further confirmed. Our work demonstrates that the geometric structure of high-dimensional percolation clusters cannot be fully accounted for by their complete-graph counterparts.
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