Abstract
We define the factor in the percolation problem as the quotient of the size of the largest cluster and the average size of all clusters. As the occupation probability is increased, the factor for the system size grows systematically to its maximum value at a specific value and then gradually decays. Our numerical study of site percolation problems on the square, triangular, and simple cubic lattices exhibits that the asymptotic values of , though close, are distinct from the corresponding percolation thresholds of these lattices. We also show, using scaling analysis, that at the value of diverges as ( denoting the dimension of the lattice) as the system size approaches its asymptotic limit. We further extend this idea to nonequilibrium systems such as the sandpile model of self-organized criticality. Here the factor is the quotient of the size of the largest avalanche and the cumulative average of the sizes of all the avalanches, with the drop density of the driving mechanism. This study was prompted by some observations in sociophysics.
6 More- Received 12 February 2024
- Revised 15 May 2024
- Accepted 8 July 2024
DOI:https://doi.org/10.1103/PhysRevE.110.014131
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