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PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT

PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT

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Percolation and Disordered Systems 203<br />

Fig. 7.5. The hatched squares are site-boxes, and the dotted squares are half-way<br />

boxes. Each box has side-length 2N.<br />

F. We shall examine the site-boxes Bx(N), for x ∈ F, and determine their<br />

states. This we do according to the algorithm sketched before Lemma 7.24,<br />

for appropriate random variables Z(x) to be described next.<br />

We begin at the origin, with the site-box B0(N) = B(N). Once we have<br />

explained what is involved in determining the state of B0(N), most of the<br />

work will have been done. (The event {B0(N) is occupied} is sketched in<br />

Figure 7.7.)<br />

Note that B(m) ⊆ B(N), and say that ‘the first step is successful’ if every<br />

edge in B(m) is p-open, which is to say that B(m) is a ‘seed’. (Recall that p<br />

and other parameters are given in (7.26).) At this stage we write E1 for the<br />

set of edges of B(m).<br />

In the following sequential algorithm, we shall construct an increasing sequence<br />

E1, E2, . . . of edge-sets. At each stage k, we shall acquire information<br />

about the values of X(e) for certain e ∈ E 3 (here, the X(e) are independent<br />

uniform [0, 1]-valued random variables, as usual). This information we<br />

shall record in the form ‘each e is βk(e)-closed and γk(e)-open’ for suitable<br />

functions βk, γk : E 3 → [0, 1] satisfying<br />

(7.27) βk(e) ≤ βk+1(e), γk(e) ≥ γk+1(e), for all e ∈ E 3 .<br />

Having constructed E1, above, we set<br />

(7.28)<br />

(7.29)<br />

β1(e) = 0 for all e ∈ E 3 ,<br />

�<br />

p if e ∈ E1,<br />

γ1(e) =<br />

1 otherwise.

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