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IIC hitting probability normalized by τ∞ equals p-capacity

Establish that for critical Bernoulli percolation on Z^d in the high-dimensional (mean-field) regime where the two-point function satisfies τ(z) ∼ a_d·||z||^{2−d} (nearest-neighbor for d>10 or sufficiently spread-out for d>6), the limit lim_{||z||→∞} P( C_∞(z) ∩ A ≠ ∅ ) / τ_∞(z) equals pCap(A) for every finite set A ⊂ Z^d, where τ_∞(z) = P( z ∈ C_∞(0) ) and pCap(A) = lim_{||z||→∞} P(z ↔ A)/τ(z).

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Background

The paper introduces p-capacity pCap(A) via the asymptotic probability that a distant cluster intersects a finite set, and proves upper and lower bounds relating IIC hitting probabilities to pCap(A). The authors expect a precise limiting relation mirroring analogous results for branching random walks.

Conjecture 1 proposes that the normalized IIC hitting probability converges to pCap(A), strengthening Theorem 1.2 which gives matching upper and lower bounds up to constants. This would parallel Zhu’s branching capacity theory.

References

Conjecture 1 For any finite $A\subset \mathbb Zd$, $$\lim_{|z|\to \infty} \frac{\mathbb P(\mathcal C_\infty(z)\cap A\neq )}{\tau_\infty(z)} = \textrm{pCap}(A). $$

Capacity in high dimensional percolation (2509.21253 - Asselah et al., 25 Sep 2025) in Introduction, Conjecture 1