The Scaling Limit of the Incipient Infinite Cluster in High-Dimensional Percolation. I. Critical Exponents

This is the first of two papers on the critical behavior of bond percolation models in high dimensions. In this paper, we obtain strong joint control of the critical exponents η and δ for the nearest neighbor model in very high dimensions d≫6 and for sufficiently spread-out models in all dimensions d>6. The exponent η describes the low-frequency behavior of the Fourier transform of the critical two-point connectivity function, while δ describes the behavior of the magnetization at the critical point. Our main result is an asymptotic relation showing that, in a joint sense, η=0 and δ=2. The proof uses a major extension of our earlier expansion method for percolation. This result provides evidence that the scaling limit of the incipient infinite cluster is the random probability measure on ℝd known as integrated super-Brownian excursion (ISE), in dimensions above 6. In the sequel to this paper, we extend our methods to prove that the scaling limits of the incipient infinite cluster's two-point and three-point functions are those of ISE for the nearest neighbor model in dimensions d≫6.

[1]  A note on differentiability of the cluster density for independent percolation in high dimensions , 1992 .

[2]  Gordon Slade,et al.  The incipient infinite cluster in high-dimensional percolation , 1998 .

[3]  Charles M. Newman,et al.  Tree graph inequalities and critical behavior in percolation models , 1984 .

[4]  Gordon Slade Lattice Trees, Percolation and Super-Brownian Motion , 1999 .

[5]  Gordon Slade,et al.  The Self-Avoiding-Walk and Percolation Critical Points in High Dimensions , 1995, Combinatorics, Probability and Computing.

[6]  Michael Aizenman Scaling Limit for the Incipient Spanning Clusters , 1998 .

[7]  B. Nguyen Gap exponents for percolation processes with triangle condition , 1987 .

[8]  Remco van der Hofstad,et al.  Mean-field lattice trees , 1999 .

[9]  Mean-field critical behaviour for correlation length for percolation in high dimensions , 1990 .

[10]  Harry Kesten,et al.  The incipient infinite cluster in two-dimensional percolation , 1986 .

[11]  Gordon Slade,et al.  The Scaling Limit of Lattice Trees in High Dimensions , 1998 .

[12]  Almut Burchard,et al.  Holder Regularity and Dimension Bounds for Random Curves , 1998 .

[13]  Gordon Slade,et al.  Lattice trees and super-Brownian motion , 1997, Canadian Mathematical Bulletin.

[14]  Donald A. Dawson,et al.  Measure-Valued processes and renormalization of branching particle systems , 1999 .

[15]  G. Toulouse,et al.  Perspectives from the theory of phase transitions , 1974 .

[16]  H. Poincaré,et al.  Percolation ? , 1982 .

[17]  T. ChayestO,et al.  Inhomogeneous percolation problems and incipient infinite clusters , 2022 .

[18]  Gordon Slade,et al.  The number and size of branched polymers in high dimensions , 1992 .

[19]  J. Gall The Hausdorff Measure of the Range of Super-Brownian Motion , 1999 .

[20]  Michael Aizenman,et al.  On the Number of Incipient Spanning Clusters , 1997 .

[21]  Gordon Slade,et al.  The scaling limit of the incipient infinite cluster in high-dimensional percolation. II. Integrated super-Brownian excursion , 2000 .

[22]  N. Madras,et al.  THE SELF-AVOIDING WALK , 2006 .

[23]  Gordon Slade,et al.  Mean-Field Behaviour and the Lace Expansion , 1994 .

[24]  T. Reisz A convergence theorem for lattice Feynman integrals with massless propagators , 1988 .

[25]  David Aldous,et al.  Tree-based models for random distribution of mass , 1993 .

[26]  G. Slade,et al.  Mean-field critical behaviour for percolation in high dimensions , 1990 .

[27]  Michael Aizenman,et al.  Percolation Critical Exponents Under the Triangle Condition , 1991 .

[28]  J. Gall The uniform random tree in a Brownian excursion , 1993 .

[29]  J. L. Gall,et al.  Spatial Branching Processes, Random Snakes, and Partial Differential Equations , 1999 .

[30]  T. Reisz A power counting theorem for Feynman integrals on the lattice , 1988 .