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PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT

PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT

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258 <strong>Geoffrey</strong> Grimmett<br />

Theorem 11.13. Suppose that d ≥ 3. The random sets B and C are intersection-equivalent.<br />

A similar result is valid when d = 2, but with a suitable redefinition of the<br />

random set C. This is achieved by taking different values of p at the different<br />

stages of the construction, namely p = k/(k + 1) at the kth stage.<br />

This correspondence is not only beautiful and surprising, but also useful.<br />

It provides a fairly straightforward route to certain results concerning<br />

intersections of random walks and Brownian Motions, for example. Conversely,<br />

using the rotation-invariance of Brownian Motion, one may obtain<br />

results concerning projections of the random Cantor set in other directions<br />

than onto an axis (thereby complementing results of [112], in the case of the<br />

special parameter-value given above).<br />

The proof of Theorem 11.13 is analytical, and proceeds by utilising<br />

• classical potential theory for Brownian Motion,<br />

• the relationship between capacity and percolation for trees ([250]), and<br />

• the relationship between capacity on trees and capacity on an associated<br />

Euclidean space ([54, 308]).<br />

It is an attractive target to understand Theorem 11.13 via a coupling of the<br />

two random sets.

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