Sequential disruption of the shortest path in critical percolation
arXiv:1906.09495 · doi:10.1103/PhysRevE.100.032121
Abstract
We investigate the effect of sequentiallydisrupting the shortest path of percolation clusters at criticality by comparing it with the shortest alternative path. We measure the difference in length and the enclosed area between the two paths. The sequential approach allows to study spatial correlations. We find the lengths of the segments of successively constant differences in length to be uncorrelated. Simultaneously, we study the distance between red bonds. We find the probability distributions for the enclosed areas A, the differences in length , and the lengths between the redbonds to follow power law distributions. Using maximum likelihood estimation and extrapolation we find the exponents = 1.38 0.03 for , = 1.186 0.008 for A and = 1.64 0.025 for thedistribution of .
References in corpus (7)
- Powerlaw: a Python package for analysis of heavy-tailed distributions
- Efficient Monte Carlo algorithm and high-precision results for percolation
- The Number of Incipient Spanning Clusters in Two-Dimensional Percolation
- Shortest-Path Fractal Dimension for Percolation in Two and Three Dimensions
- Optimal path cracks in correlated and uncorrelated lattices
- Impact of Perturbations on Watersheds
- Perturbing the Shortest Path on a Critical Directed Square Lattice