Quasi-multiplicativity and Regularity for Metric Graph Gaussian Free Fields

Abstract We prove quasi-multiplicativity for critical level-sets of Gaussian free fields (GFF) on the metric graphs $$\widetilde{\mathbb {Z}}^d$$ Z ~ d ( $$d\ge 3$$ d ≥ 3 ). Specifically, we study the probability of connecting two general sets located on opposite sides of an annulus with inner and outer radii both of order N , where additional constraints are imposed on the distance of each set to the annulus. We show that for all $$d \ge 3$$ d ≥ 3 except the critical dimension $$d=6$$ d = 6 , this probability is of the same order as $$N^{(6-d)\wedge 0}$$ N ( 6 - d ) ∧ 0 (serving as a correction factor) times the product of the two probabilities of connecting each set to the closer boundary of this annulus. The analogue for $$d=6$$ d = 6 is also derived, although the upper and lower bounds differ by a divergent factor of $$N^{o(1)}$$ N o ( 1 ) . Notably, it was conjectured by Basu and Sapozhnikov [3] that quasi-multiplicativity without correction factor holds for Bernoulli percolation on $$\mathbb {Z}^d$$ Z d when $$3\le d<6$$ 3 ≤ d < 6 and fails when $$d>6$$ d > 6 . In high dimensions (i.e., $$d>6$$ d > 6 ), taking into account the similarity between the metric graph GFF and Bernoulli percolation (which was proposed by Werner [19] and later partly confirmed by the authors (2024)), our result provides support to the conjecture that Bernoulli percolation exhibits quasi-multiplicativity with correction factor $$N^{6-d}$$ N 6 - d . A crucial application of quasi-multiplicativity is proving the existence of the incipient infinite cluster (IIC), which has been completed by Basu and Sapozhnikov [3] for Bernoulli percolation for $$3\le d<6$$ 3 ≤ d <

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Publication Details

Journal
Communications in Mathematical Physics
Published
2026-10-28
DOI
https://doi.org/10.1007/s00220-026-05772-5
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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Quasi-multiplicativity and Regularity for Metric Graph Gaussian Free Fields

Jian Ding, Zhenhao Cai
Communications in Mathematical Physics
Stochastic processes and statistical mechanics
article

Quasi-multiplicativity and Regularity for Metric Graph Gaussian Free Fields

Jian Ding, Zhenhao Cai
article en

Abstract

Abstract We prove quasi-multiplicativity for critical level-sets of Gaussian free fields (GFF) on the metric graphs $$\widetilde{\mathbb {Z}}^d$$ Z ~ d ( $$d\ge 3$$ d ≥ 3 ). Specifically, we study the probability of connecting two general sets located on opposite sides of an annulus with inner and outer radii both of order N , where additional constraints are imposed on the distance of each set to the annulus. We show that for all $$d \ge 3$$ d ≥ 3 except the critical dimension $$d=6$$ d = 6 , this probability is of the same order as $$N^{(6-d)\wedge 0}$$ N ( 6 - d ) ∧ 0 (serving as a correction factor) times the product of the two probabilities of connecting each set to the closer boundary of this annulus. The analogue for $$d=6$$ d = 6 is also derived, although the upper and lower bounds differ by a divergent factor of $$N^{o(1)}$$ N o ( 1 ) . Notably, it was conjectured by Basu and Sapozhnikov [3] that quasi-multiplicativity without correction factor holds for Bernoulli percolation on $$\mathbb {Z}^d$$ Z d when $$3\le d<6$$ 3 ≤ d < 6 and fails when $$d>6$$ d > 6 . In high dimensions (i.e., $$d>6$$ d > 6 ), taking into account the similarity between the metric graph GFF and Bernoulli percolation (which was proposed by Werner [19] and later partly confirmed by the authors (2024)), our result provides support to the conjecture that Bernoulli percolation exhibits quasi-multiplicativity with correction factor $$N^{6-d}$$ N 6 - d . A crucial application of quasi-multiplicativity is proving the existence of the incipient infinite cluster (IIC), which has been completed by Basu and Sapozhnikov [3] for Bernoulli percolation for $$3\le d<6$$ 3 ≤ d <

Communications in Mathematical PhysicsVol. 407(12)
Peking University (CN), Weizmann Institute of Science (IL)
Openalex Percentile: Top 7%
Stochastic processes and statistical mechanics
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