For independent bond percolation on below the percolation critical probability, there are such that , uniformly in . This concerns the number of vertices in a percolation cluster, a stronger conclusion than decay of its radius alone.
We use the uniqueness of the infinite percolation cluster on : for , there is almost surely exactly one infinite percolation cluster, denoted . Fix and let . Two observations account for the possible distinct endpoints of the face connections.
First, the probability that some finite percolation cluster meeting reaches tends to zero as . There are only finitely many vertices in , and each of their finite percolation clusters has finite radius; apply the union bound and continuity from above of a measure.
Second, all vertices of are joined to one another inside with probability tending to one. On each configuration, this is a finite set of vertices of one connected percolation cluster. Choose a finite open path in a graph from one such vertex to each of the others; the union of these finitely many paths is contained in some finite box. The assertion is vacuous if the set is empty.
By part (b.ii), each of the two face-connection events within fails with probability at most . Outside the two exceptional events just described, their endpoints in belong to and can be joined inside . Concatenating the left-face path, that joining path, and the right-face path produces a crossing of . Consequently
Now let . Since ,
The order of limits matters: is fixed while the finitely many relevant percolation clusters are connected inside increasingly large boxes.
Put , the union of all infinite percolation clusters. Since , the percolation probability is positive. The translation ergodicity of Bernoulli percolation makes a zero-one event; it has positive probability because , hence it occurs almost surely.
Let . These events increase to , so continuity from below of a measure gives . On , some vertex of has an infinite open path in a graph. For every , the segment up to its first visit to lies entirely in . Thus even with this restriction on the connecting path in a graph,
This proves the requested uniformity and supplies the version needed for crossings later.
For , let be the set of vertices of connected to by an open path in a graph using only edges of . Every infinite-cluster vertex of belongs to , by stopping an infinite open path in a graph at its first boundary visit. Hence the increasing event
has probability at least by part (a). Importantly, depends only on the edges with both endpoints in .
Open all perimeter edges joining successive vertices of . They form a cycle in a graph, and opening them joins every vertex of into one percolation cluster, containing the specified perimeter vertex . The Harris-FKG inequality bounds the probability of this event together with below by .
Close all edges in the edge boundary of . These edges are distinct from the internal edges already considered, so their states are independent of those events. The resulting percolation cluster of is finite, contained in , and has at least vertices. Therefore, by translating to the origin,
For , choose . Then the threshold is at least , and . Put and ; both are positive. The preceding lower bound is at least with, for example,
The construction modifies only order- boundary edges while trapping order- vertices, which explains the stretched exponential scale. Here is interpreted as the positive integers; the proposed lower bound at would be false because .
Declare an edge of the planar dual graph open exactly when its crossed primal edge is closed. This dual bond percolation has parameter , using the Harris-Kesten theorem. We use the standard exponential tail of subcritical cluster size: for some , uniformly in the dual vertex ,
This is decay of the number of vertices in the percolation cluster, not merely its radius.
On , the geometric fact allowed in the paper supplies a simple dual cycle in a graph surrounding , with length . Every crossed edge is in the edge boundary of and is therefore closed, so the dual cycle is open. Its distinct vertices lie in one dual percolation cluster of size at least .
A dual cycle in a graph of length surrounding the origin has all its vertices within sup-norm distance of the origin: its coordinate spans are at most , and the origin lies between each pair of extreme coordinates. There are at most possible dual vertices there. The union bound over lengths and possible vertices yields
for some , since a polynomial factor can be absorbed into a slower exponential decay.
To remove the constant prefactor for all , first choose so that the bound is at most for . For the remaining finitely many , use and choose
For , the chosen ensures .