PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT
PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT
PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT
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160 <strong>Geoffrey</strong> Grimmett<br />
whence<br />
d<br />
dp Pp(A) = �<br />
�<br />
N(ω)<br />
p<br />
=<br />
ω<br />
�<br />
|E| − N(ω)<br />
− 1A(ω)Pp(ω)<br />
1 − p<br />
1<br />
p(1 − p) Ep<br />
� �<br />
{N − p|E|}1A ,<br />
as required for part (a).<br />
Turning to (b), assume A is increasing. Using the definition of N, we have<br />
that<br />
(4.3) covp(N, 1A) = �<br />
{Pp(A ∩ Je) − pPp(A)}<br />
e∈E<br />
where Je = {ω(e) = 1}. Now, writing {piv} for the event that e is pivotal<br />
for A,<br />
Pp(A ∩ Je) = Pp(A ∩ Je ∩ {piv}) + Pp(A ∩ Je ∩ {not piv}).<br />
We use the important fact that Je is independent of {piv}, which holds since<br />
the latter event depends only on the states of edges f other than e. Since<br />
A ∩ Je ∩ {piv} = Je ∩ {piv}, the first term on the right side above equals<br />
Pp(Je ∩ {piv}) = Pp(Je | piv)Pp(piv) = pPp(piv),<br />
and similarly the second term equals (since Je is independent of the event<br />
A ∩ {not piv})<br />
Pp(Je | A ∩ {not piv})Pp(A ∩ {not piv}) = pPp(A ∩ {not piv}).<br />
Returning to (4.3), the summand equals<br />
� pPp(piv) + pPp(A ∩ {not piv}) � − p � Pp(A ∩ {piv}) + Pp(A ∩ {not piv}) �<br />
= pPp(A ∩ {piv}) = pPp(Je | piv)Pp(piv)<br />
= p(1 − p)Pp(piv).<br />
Insert this into (4.3) to obtain part (b) from part (a). An alternative proof<br />
of part (b) may be found in [G]. �<br />
Although the above theorem was given for a finite product space ΩE, the<br />
conclusion is clearly valid for the infinite space Ω so long as the event A is<br />
finite-dimensional.<br />
The methods above may be used further to obtain formulae for the higher<br />
derivatives of Pp(A). First, Theorem 4.2(b) may be generalised to obtain<br />
that<br />
d<br />
dp Ep(X) = �<br />
Ep(δeX),<br />
e∈E