ﻻ يوجد ملخص باللغة العربية
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 $Delta l$, and the lengths between the redbonds $l_r$ to follow power law distributions. Using maximum likelihood estimation and extrapolation we find the exponents $beta$ = 1.38 $pm$ 0.03 for $Delta l$, $alpha$ = 1.186 $pm$ 0.008 for A and $delta$ = 1.64 $pm$ 0.025 for thedistribution of $l_r$.
We investigate the behaviour of the shortest path on a directed two-dimensional square lattice for bond percolation at the critical probability $p_c$ . We observe that flipping an edge lying on the shortest path has a non-local effect in the form of
Restricted-valence random sequential adsorption~(RSA) is studied in its pure and disorder
We analyze the geometry of scaling limits of near-critical 2D percolation, i.e., for $p=p_c+lambdadelta^{1/ u}$, with $ u=4/3$, as the lattice spacing $delta to 0$. Our proposed framework extends previous analyses for $p=p_c$, based on $SLE_6$. It co
The random sequential adsorption (RSA) model is a classical model in Statistical Physics for adsorption on two-dimensional surfaces. Objects are deposited sequentially at random and adsorb irreversibly on the landing site, provided that they do not o
Long linear polymers in strongly disordered media are well described by self-avoiding walks (SAWs) on percolation clusters. The length-distribution of these SAWs encompasses to distinct averages, viz. the averages over cluster- and SAW-conformations.