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PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT

PERCOLATION AND DISORDERED SYSTEMS Geoffrey GRIMMETT

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246 <strong>Geoffrey</strong> Grimmett<br />

A L d -path is defined to be a sequence x0, e0, x1, e1, . . . of alternating vertices<br />

xi and distinct edges ej such that ej = 〈xj, xj+1〉 for all j. If the path<br />

has a final vertex xn, then it is said to have length n and to join x0 to xn.<br />

If it is infinite, then it is said to join x0 to ∞. A L d -path may visit vertices<br />

more than once, but we insist that its edges be distinct.<br />

We define a Z-path to be a L d -path x0, e0, x1, e1, . . . with the property<br />

that, for all j,<br />

xj+1 − xj = Zxj(xj − xj−1) whenever Zxj �= ∅,<br />

which is to say that the path conforms to all reflectors.<br />

Let N be the set of rw points. We define an equivalence relation ↔ on N<br />

by x ↔ y if and only if there exists a Z-path with endpoints x and y. We<br />

denote by Cx the equivalence class of (N, ↔) containing the rw point x, and<br />

by C the set of equivalence classes of (N, ↔). The following lemma will be<br />

useful; a sketch proof is deferred to the end of the section.<br />

Lemma 10.16. Let d ≥ 2 and prw > 0. The number M of equivalence<br />

classes of (N, ↔) having infinite cardinality satisfies<br />

either P(M = 0) = 1 or P(M = 1) = 1.<br />

Next we define a random walk in the random labyrinth Z. Let x be a rw<br />

point. A walker, starting at x, flips a fair coin (in the manner of a symmetric<br />

random walker) whenever it arrives at a rw point in order to determine its<br />

next move. When it meets a reflector, it moves according to the reflector (i.e.,<br />

if it strikes the reflector ρ in the direction u, then it departs in the direction<br />

ρ(u)). Writing P Z x<br />

for the law of the walk, we say that the point x is Z-<br />

recurrent if P Z x (XN = x for some N ≥ 1) = 1, and Z-transient otherwise.<br />

As before, we say that Z is transient if there exists a rw point x which is<br />

Z-transient, and recurrent otherwise.<br />

Note that, if the random walker starts at the rw point x, then the sequence<br />

of rw points visited constitutes an irreducible Markov chain on the<br />

equivalence class Cx. Therefore, the rw point x is Z-localised if and only if<br />

|Cx| < ∞. As before, we say that Z is localised if all rw points are Z-localised,<br />

and non-localised otherwise.<br />

Theorem 10.17. Let prw > 0. There exists a strictly positive constant<br />

A = A(prw, d) such that the following holds.<br />

(a) Assume that d ≥ 2. If 1 −prw −p+ < A, then the labyrinth Z is P-a.s.<br />

non-localised.<br />

(b) Assume that d ≥ 3. If 1 − prw − p+ < A, then Z is P-a.s. transient.<br />

As observed after 10.11, we have that A = A(prw, d) → 0 as prw ↓ 0.<br />

Using methods presented in [114, 115, 220], one may obtain an invariance<br />

principle for a random walk in a random labyrinth, under the condition that<br />

1 − prw − p+ is sufficiently small. Such a principle is valid for a walk which

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