TY - JOUR
T1 - Existence of phase transition for percolation using the gaussian free field
AU - Duminil-Copin, Hugo
AU - Goswami, Subhajit
AU - Raoufi, Aran
AU - Severo, Franco
AU - Yadin, Ariel
N1 - Funding Information: This research was supported by European Research Council project “Critical Behavior of Lattice Models” (CriBLaM), an IDEX Paris-Saclay grant, and the National Centre of Competence in Research SwissMAP. Severo’s work was also supported by Fonds National Suisse. Yadin’s work was partially supported by Israel Science Foundation grant no. 1346/15. Publisher Copyright: © 2020 Duke University Press. All rights reserved.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - In this paper, we prove that Bernoulli percolation on bounded degree graphs with isoperimetric dimension d > 4 undergoes a nontrivial phase transition (in the sense that pc < 1). As a corollary, we obtain that the critical point of Bernoulli percolation on infinite quasitransitive graphs (in particular, Cayley graphs) with superlinear growth is strictly smaller than 1, thus answering a conjecture of Benjamini and Schramm. The proof relies on a new technique based on expressing certain functionals of the Gaussian free field (GFF) in terms of connectivity probabilities for a percolation model in a random environment. Then we integrate out the randomness in the edge-parameters using a multiscale decomposition of the GFF. We believe that a similar strategy could lead to proofs of the existence of a phase transition for various other models.
AB - In this paper, we prove that Bernoulli percolation on bounded degree graphs with isoperimetric dimension d > 4 undergoes a nontrivial phase transition (in the sense that pc < 1). As a corollary, we obtain that the critical point of Bernoulli percolation on infinite quasitransitive graphs (in particular, Cayley graphs) with superlinear growth is strictly smaller than 1, thus answering a conjecture of Benjamini and Schramm. The proof relies on a new technique based on expressing certain functionals of the Gaussian free field (GFF) in terms of connectivity probabilities for a percolation model in a random environment. Then we integrate out the randomness in the edge-parameters using a multiscale decomposition of the GFF. We believe that a similar strategy could lead to proofs of the existence of a phase transition for various other models.
UR - http://www.scopus.com/inward/record.url?scp=85098325499&partnerID=8YFLogxK
U2 - https://doi.org/10.1215/00127094-2020-0036
DO - https://doi.org/10.1215/00127094-2020-0036
M3 - Article
SN - 0012-7094
VL - 169
SP - 3539
EP - 3563
JO - Duke Mathematical Journal
JF - Duke Mathematical Journal
IS - 18
ER -