Mean-field behavior in dimensions 7 through 10

Establish critical mean-field behavior for nearest-neighbor Bernoulli percolation in dimensions 7 through 10, equivalently prove the asymptotic relation \(\tau_{p_c}(x)\sim A\langle x\rangle^{2-d}\) in those dimensions.

Background

The paper studies Bernoulli bond percolation on Zd\mathbb Z^d for d>6d>6, where mean-field behavior is expected to hold. The critical two-point function is expected to decay as ⟨x⟩2−d\langle x\rangle^{2-d}, as it does for percolation on a tree.

The authors note that the result is known for nearest-neighbor percolation in dimensions d≥11d\geq 11, while dimensions 7 through 10 remain unresolved. Their main theorem provides a semi-decision procedure: if a suitable subcritical initialization can be verified, then the critical asymptotic follows in finite time.

References

A major advance was obtained by Fitzner and van der Hofstad , who proved that $d\geq 11$ suffices for nearest-neighbor percolation, leaving the dimensions $7\leq d\leq 10$ open.

— Markovian renormalisation for percolation in high-dimension: Semi-decidability of mean field behavior  (2609.20764 - Blanc-Renaudie, 17 Sep 2026) in Section 1, subsection “Motivation and main results”

It is also conjectured to always hold in high dimensions.

— Markovian renormalisation for percolation in high-dimension: Semi-decidability of mean field behavior  (2609.20764 - Blanc-Renaudie, 17 Sep 2026) in Section 1, subsection “Motivation and main results”

However, we do not determine whether this can be done within a reasonable human lifetime.

— Markovian renormalisation for percolation in high-dimension: Semi-decidability of mean field behavior  (2609.20764 - Blanc-Renaudie, 17 Sep 2026) in Section 1, subsection “Further remarks,” paragraph “Numerical computations”