PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT
PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT
PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT
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or<br />
Percolation and Disordered Systems 211<br />
θ ′ (π) + θ(π) ≥ 1.<br />
Integrate this over the interval (pc, p) to obtain<br />
θ(p)e p − θ(pc)e pc ≥ e p − e pc , pc ≤ p,<br />
whence it is an easy exercise to show that<br />
(7.36) θ(p) − θ(pc) ≥ a(p − pc), pc ≤ p,<br />
for some positive constant a. The above argument may be made rigorous.<br />
Differential inequalities of the type above are used widely in percolation<br />
and disordered systems.<br />
7.6 Cluster-Size Distribution<br />
When p < pc, the tail of the cluster-size |C| decays exponentially. Exponential<br />
decay is not correct when p > pc, but rather ‘stretched exponential<br />
decay’.<br />
Theorem 7.37. Suppose pc < p < 1. There exist positive constants α(p),<br />
β(p) such that, for all n,<br />
(7.38) exp � −αn (d−1)/d� ≤ Pp(|C| = n) ≤ exp � −βn (d−1)/d� .<br />
See [G] for a proof of this theorem. The reason for the power n (d−1)/d<br />
is roughly as follows. It is thought that a large finite cluster is most likely<br />
created as a cluster of compact shape, all of whose boundary edges are closed.<br />
Now, if a ball has volume n, then its surface area has order n (d−1)/d . The<br />
price paid for having a surface all of whose edges are closed is (1 −p) m where<br />
m is the number of such edges. By the above remark, m should have order<br />
n (d−1)/d , as required for (7.38).<br />
It is believed that the limit<br />
�<br />
1<br />
(7.39) γ(p) = lim −<br />
n→∞ n (d−1)/d log Pp(|C|<br />
�<br />
= n)<br />
exists, but no proof is known.<br />
Much more is known in two dimensions than for general d. The size and<br />
geometry of large finite clusters have been studied in detail in [37], where it<br />
was shown that such clusters may be approximated by the so called ‘Wulff<br />
shape’. This work includes a proof of the existence of the limit in (7.39) when<br />
d = 2.