We will also have use for another intermediate event between A and ˜ ˜
A: ¯ A
I I
′
j, σ
n, N , for which we only impose the landing areas I
I
′
of the j arms. We do not ask a priori the sub-intervals to be η-separated either, just to be disjoint. Note however that if they are ηη
′
-separated, then the extremities of the different crossings will be
ηη
′
-separated too. To summarize:
A
j, σ
n, N = { j arms ∂ S
n
∂ S
N
, color σ}
separated at scale ηη
′
+ small extensions
hh hh
hh h
tthh hh
hh hh
landing areas I I
′
U U
U U
U U
U U
U U
U U
U U
U
˜ A
ηη
′
j, σ
n, N
landing areas I I
′
U U
U U
U U
U U
U U
U U
U U
¯ A
I I
′
j, σ
n, N
small extensions if I I
′
are ηη
′
-separated
ii ii
ii ii
ttii ii
ii
˜ ˜
A
η,Iη
′
,I
′
j, σ
n, N
Remark 10. If we take for instance alternating colors ¯
σ = BW BW , and as landing areas ¯I
1
, . . . , ¯I
4
the resp. right, top, left and bottom sides of ∂ S
N
, the 4-arm event ¯ A
. ¯I
4, ¯ σ
0, N the “.” meaning that we do not put any condition on the internal boundary is then the event that 0 is pivotal for the existence
of a left-right crossing of S
N
.
4.3 Statement of the results
Main result
Our main separation result is the following:
Theorem 11. Fix an integer j ≥ 1, some color sequence σ ∈ ˜
S
j
and η
, η
′
∈ 0, 1. Then we have ˆ
P ˜ ˜
A
η,Iη
′
,I
′
j, σ
n, N ≍ ˆP A
j, σ
n, N 4.8
uniformly in all landing sequences I I
′
of size ηη
′
, with η ≥ η
and η
′
≥ η
′
, p, ˆ P
between P
p
and P
1 −p
, n ≤ N ≤ Lp.
First relations
Before turning to the proof of this theorem, we list some direct consequences of the RSW estimates that will be needed.
Proposition 12. Fix j ≥ 1, σ ∈ ˜
S
j
and η
, η
′
∈ 0, 1. 1. “Extendability”: We have
ˆ P ˜
˜ A
η,I ˜ η
′
,˜I
′
j, σ
n, 2N , ˆ
P ˜ ˜
A
˜ η,˜Iη
′
,I
′
j, σ
n2, N ≍ ˆP ˜˜
A
η,Iη
′
,I
′
j, σ
n, N uniformly in p, ˆ
P between P
p
and P
1 −p
, n ≤ N ≤ Lp, and all landing sequences II
′
resp. ˜I˜I
′
of size ηη
′
resp. ˜ η ˜
η
′
larger than η
η
′
. In other words: “once well-separated, the arms can easily be extended”.
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2. “Quasi-multiplicativity”: We have for some C = C η
, η
′
ˆ P
A
j, σ
n
1
, n
3
≥ C ˆP ˜
˜ A
. η,I
η
j, σ
n
1
, n
2
4ˆ P
˜ ˜
A
η
′
,I
η′
. j,
σ
n
2
, n
3
uniformly in p, ˆ P
between P
p
and P
1 −p
, n j ≤ n
1
n
2
n
3
≤ Lp with n
2
≥ 4n
1
, and all landing sequences I
I
′
of size ηη
′
larger than η
η
′
. 3. For any
η, η
′
0, there exists a constant C = Cη, η
′
0 with the following property: for any p, ˆ
P between P
p
and P
1 −p
, n ≤ N ≤ Lp, there exist two landing sequences I and I
′
of size η
and η
′
that may depend on all the parameters mentioned such that ˆ
P ˜ ˜
A
η,Iη
′
,I
′
j, σ
n, N ≥ C ˆP ˜
A
η,η
′
j, σ
n, N .
Proof. The proof relies on gluing arguments based on RSW constructions. However, the events considered are not monotone when
σ is non-constant there is at least one black arm and one white arm. We will thus need a slight generalization of the FKG inequality for events “locally monotone”.
Lemma 13. Consider A
+
, ˜ A
+
two increasing events, and A
−
, ˜ A
−
two decreasing events. Assume that there exist three disjoint finite sets of vertices
A , A
+
and A
−
such that A
+
, A
−
, ˜ A
+
and ˜ A
−
depend only on the sites in, respectively,
A ∪ A
+
, A ∪ A
−
, A
+
and A
−
. Then we have ˆ
P ˜
A
+
∩ ˜ A
−
|A
+
∩ A
−
≥ ˆP ˜ A
+
ˆ P
˜ A
−
4.9 for any product measure ˆ
P .
Proof. Conditionally on the configuration ω
A
in A , the events A
+
∩ ˜ A
+
and A
−
∩ ˜ A
−
are independent, so that
ˆ P
A
+
∩ ˜ A
+
∩ A
−
∩ ˜ A
−
|ω
A
= ˆ P
A
+
∩ ˜ A
+
|ω
A
ˆ P
A
−
∩ ˜ A
−
|ω
A
. The FKG inequality implies that
ˆ P
A
+
∩ ˜ A
+
|ω
A
≥ ˆPA
+
|ω
A
ˆ P
˜ A
+
|ω
A
= ˆ P
A
+
|ω
A
ˆ P
˜ A
+
and similarly with A
−
and ˜ A
−
. Hence, ˆ
P A
+
∩ ˜ A
+
∩ A
−
∩ ˜ A
−
|ω
A
≥ ˆPA
+
|ω
A
ˆ P
˜ A
+
ˆ P
A
−
|ω
A
ˆ P
˜ A
−
= ˆ P
A
+
∩ A
−
|ω
A
ˆ P
˜ A
+
ˆ P
˜ A
−
. The conclusion follows by summing over all configurations
ω
A
. Once this lemma at our disposal, items 1. and 2. are straightforward. For item 3., we consider a
covering of ∂ S
n
resp. ∂ S
N
with at most 8 η
−1
resp. 8 η
′−1
intervals {I} of length η resp. I
′
of length
η
′
. Then for some I, I
′
, ˆ
P ˜ ˜
A
η,Iη
′
,I
′
j, σ
n, N ≥ 8η
−1 −1
8η
′−1 −1
ˆ P ˜
A
η,η
′
j, σ
n, N .
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We also have the following a-priori bounds for the arm events:
Proposition 14. Fix some j
≥ 1, σ ∈ ˜ S
j
and η
, η
′
∈ 0, 1. Then there exist some exponents α
j
, α
′
∞, as well as constants 0 C
j
, C
′
∞, such that C
j
n N
α
j
≤ ˆP ˜
˜ A
η,Iη
′
,I
′
j, σ
n, N ≤ C
′
n N
α
′
4.10 uniformly in p, ˆ
P between P
p
and P
1 −p
, n ≤ N ≤ Lp, and all landing sequences II
′
of size ηη
′
larger than η
η
′
. The lower bound comes from iterating item 1. The upper bound can be obtained by using concentric
annuli: in each of them, RSW implies that there is a probability bounded away from zero to observe a black circuit, preventing the existence of a white arm consider a white circuit instead if
σ = BB . . . B.
4.4 Proof of the main result