The critical threshold for Bargmann–Fock percolation
[Le niveau critique pour la percolation de Bargmann–Fock]
Annales Henri Lebesgue, Tome 3 (2020), pp. 169-215.

Dans cet article, nous étudions les ensembles d’excursion 𝒟 p =f -1 ([-p,+[)f est le champ de Bargmann–Fock. Alexander a montré que, si p0, il n’y avait presque sûrement aucune composante connexe infinie dans 𝒟 p . Nous montrons qu’au contraire, si p>0, il existe une (unique) composante connexe infinie dans 𝒟 p . Par conséquent, le niveau critique de ce modèle de percolation est 0. Nous démontrons aussi que les probabilités de connexion décroissent exponentiellement vite dans la phase sous-critique. Pour montrer ces résultats, nous utilisons des estimations de traversée de boîtes dues à Beffara et Gayet. Nous développons par ailleurs divers outils, notamment un résultat de type KKL pour des vecteurs gaussiens corrélés (dont la preuve repose sur le résultat analogue dans le cas produit démontré par Keller, Mossel et Sen) et une procédure de sprinkling. Ces résultats intermédiaires sont vrais pour une classe générale de champs gaussiens, pour laquelle nous montrons une version discrète de notre résultat principal.

In this article, we study the excursion sets 𝒟 p =f -1 ([-p,+[) where f is a natural real-analytic planar Gaussian field called the Bargmann–Fock field. More precisely, f is the centered Gaussian field on 2 with covariance (x,y)exp(-1 2|x-y| 2 ). Alexander has proved that, if p0, then a.s. 𝒟 p has no unbounded component. We show that conversely, if p>0, then a.s. 𝒟 p has a unique unbounded component. As a result, the critical level of this percolation model is 0. We also prove exponential decay of crossing probabilities under the critical level. To show these results, we rely on a recent box-crossing estimate by Beffara and Gayet. We also develop several tools including a KKL-type result for biased Gaussian vectors (based on the analogous result for product Gaussian vectors by Keller, Mossel and Sen) and a sprinkling inspired discretization procedure. These intermediate results hold for more general Gaussian fields, for which we prove a discrete version of our main result.

Reçu le :
Révisé le :
Accepté le :
Publié le :
DOI : 10.5802/ahl.29
Classification : 60K35, 60G15, 60D05
Mots clés : Percolation, sharp threshold, KKL, critical point, Bargmann–Fock field
Rivera, Alejandro 1 ; Vanneuville, Hugo 2

1 Univ. Grenoble Alpes, UMR5582, Institut Fourier 38000 Grenoble (France)
2 Univ. Lyon 1, Institut Camille Jordan 69100 Villeurbanne (France)
@article{AHL_2020__3__169_0,
     author = {Rivera, Alejandro and Vanneuville, Hugo},
     title = {The critical threshold for {Bargmann{\textendash}Fock} percolation},
     journal = {Annales Henri Lebesgue},
     pages = {169--215},
     publisher = {\'ENS Rennes},
     volume = {3},
     year = {2020},
     doi = {10.5802/ahl.29},
     language = {en},
     url = {http://www.numdam.org/articles/10.5802/ahl.29/}
}
TY  - JOUR
AU  - Rivera, Alejandro
AU  - Vanneuville, Hugo
TI  - The critical threshold for Bargmann–Fock percolation
JO  - Annales Henri Lebesgue
PY  - 2020
SP  - 169
EP  - 215
VL  - 3
PB  - ÉNS Rennes
UR  - http://www.numdam.org/articles/10.5802/ahl.29/
DO  - 10.5802/ahl.29
LA  - en
ID  - AHL_2020__3__169_0
ER  - 
%0 Journal Article
%A Rivera, Alejandro
%A Vanneuville, Hugo
%T The critical threshold for Bargmann–Fock percolation
%J Annales Henri Lebesgue
%D 2020
%P 169-215
%V 3
%I ÉNS Rennes
%U http://www.numdam.org/articles/10.5802/ahl.29/
%R 10.5802/ahl.29
%G en
%F AHL_2020__3__169_0
Rivera, Alejandro; Vanneuville, Hugo. The critical threshold for Bargmann–Fock percolation. Annales Henri Lebesgue, Tome 3 (2020), pp. 169-215. doi : 10.5802/ahl.29. http://www.numdam.org/articles/10.5802/ahl.29/

[Ale96] Alexander, Kenneth S. Boundedness of level lines for two-dimensional random fields., Ann. Probab., Volume 24 (1996) no. 4, pp. 1653-1674 | DOI | MR | Zbl

[ATT18] Ahlberg, Daniel; Tassion, Vincent; Teixeira, Augusto Sharpness of the phase transition for continuum percolation in 2 , Probab. Theory Relat. Fields, Volume 172 (2018) no. 1-2, pp. 525-581 | DOI | MR | Zbl

[AW09] Azaïs, Jean-Marc; Wschebor, Mario Level sets and extrema of random processes and fields, John Wiley & Sons, 2009, xii+393 pages | DOI | MR | Zbl

[BDC12] Beffara, Vincent; Duminil-Copin, Hugo The self-dual point of the two-dimensional random-cluster model is critical for q1, Probab. Theory Relat. Fields, Volume 153 (2012) no. 3, pp. 511-542 | DOI | Zbl

[BG17a] Beffara, Vincent; Gayet, Damien Percolation of random nodal lines, Publ. Math., Inst. Hautes Étud. Sci., Volume 126 (2017) no. 1, pp. 131-176 | DOI | MR | Zbl

[BG17b] Beffara, Vincent; Gayet, Damien Percolation without FKG (2017) (https://arxiv.org/abs/1710.10644)

[BKK + 92] Bourgain, Jean; Kahn, Jeff; Kalai, Gil; Katznelson, Yitzhak; Linial, Nathan The influence of variables in product spaces, Isr. J. Math., Volume 77 (1992) no. 1-2, pp. 55-64 | DOI | MR | Zbl

[BM18] Beliaev, Dmitry; Muirhead, Stephen Discretisation schemes for level sets of planar Gaussian fields, Commun. Math. Phys., Volume 359 (2018) no. 3, pp. 869-913 | DOI | MR | Zbl

[BMW17] Beliaev, Dmitry; Muirhead, Stephen; Wigman, Igor Russo-Seymour-Welsh estimates for the Kostlan ensemble of random polynomials (2017) (https://arxiv.org/abs/1709.08961)

[BR06a] Bollobás, Béla; Riordan, Oliver The critical probability for random Voronoi percolation in the plane is 1/2, Probab. Theory Relat. Fields, Volume 136 (2006) no. 3, pp. 417-468 | DOI | MR | Zbl

[BR06b] Bollobás, Béla; Riordan, Oliver Percolation, Cambridge University Press, 2006, x+323 pages | DOI | MR | Zbl

[BR06c] Bollobás, Béla; Riordan, Oliver Sharp thresholds and percolation in the plane, Random Struct. Algorithms, Volume 29 (2006) no. 4, pp. 524-548 | DOI | MR | Zbl

[BR06d] Bollobás, Béla; Riordan, Oliver A short proof of the Harris–Kesten theorem, Bull. Lond. Math. Soc., Volume 38 (2006) no. 3, pp. 470-484 | DOI | MR | Zbl

[BS07] Bogomolny, Eugene; Schmit, Charles Random wavefunctions and percolation, J. Phys. A, Math. Theor., Volume 40 (2007) no. 47, pp. 14033-14043 | DOI | MR | Zbl

[CEL12] Cordero-Erausquin, Dario; Ledoux, Michel Hypercontractive measures, Talagrand’s inequality, and influences, Geometric aspects of functional analysis (Lecture Notes in Mathematics), Volume 2050, Springer, 2012, pp. 169-189 | DOI | MR | Zbl

[CL09] Cheney, Elliott Ward; Light, William Allan A course in approximation theory, Graduate Studies in Mathematics, 101, American Mathematical Society, 2009 | MR | Zbl

[DCRT17] Duminil-Copin, Hugo; Raoufi, Aran; Tassion, Vincent Exponential decay of connection probabilities for subcritical Voronoi percolation in d , Probab. Theory Relat. Fields, Volume 173 (2017) no. 1-2, pp. 479-490 | DOI | MR | Zbl

[DCRT18] Duminil-Copin, Hugo; Raoufi, Aran; Tassion, Vincent A new computation of the critical point for the planar random cluster model with q1, Ann. Inst. Henri Poincaré, Probab. Stat., Volume 54 (2018) no. 1, pp. 422-436 | DOI | MR | Zbl

[DCRT19] Duminil-Copin, Hugo; Raoufi, Aran; Tassion, Vincent Sharp phase transition for the random-cluster and Potts models via decision trees, Ann. Math., Volume 189 (2019) no. 1, pp. 75-99 | DOI | MR | Zbl

[GG06] Graham, Benjamin T.; Grimmett, Geoffrey R. Influence and sharp-threshold theorems for monotonic measures, Ann. Probab., Volume 34 (2006) no. 5, pp. 1726-1745 | DOI | MR | Zbl

[GG11] Graham, Benjamin T.; Grimmett, Geoffrey R. Sharp thresholds for the random-cluster and Ising models, Ann. Appl. Probab., Volume 21 (2011) no. 1, pp. 240-265 | DOI | MR | Zbl

[Gra09] Grafakos, Loukas Classical Fourier analysis, Graduate Texts in Mathematics, 249, Springer, 2009 | Zbl

[Gri99] Grimmett, Geoffrey R. Percolation, Grundlehren der Mathematischen Wissenschaften, 321, Springer, 1999 | Zbl

[Gri10] Grimmett, Geoffrey R. Probability on graphs. Random processes on graphs and lattices, Institute of Mathematical Statistics Textbooks, 1, Cambridge University Press, 2010 | Zbl

[GS15] Garban, Christophe; Steif, Jeffrey Noise sensitivity of Boolean functions and percolation, Institute of Mathematical Statistics Textbooks, 5, Cambridge University Press, 2015 | MR | Zbl

[Har60] Harris, Theodore E. A lower bound for the critical probability in a certain percolation process, Proc. Camb. Philos. Soc., Volume 56 (1960) no. 01, pp. 13-20 | DOI | MR | Zbl

[Kes80] Kesten, Harry The critical probability of bond percolation on the square lattice equals 1/2, Commun. Math. Phys., Volume 74 (1980) no. 1, pp. 41-59 | DOI | MR | Zbl

[KKL88] Kahn, Jeff; Kalai, Gil; Linial, Nathan The influence of variables on Boolean functions, 29th Annual Symposium on Foundations of Computer Science, IEEE (1988), pp. 68-80 | DOI

[KMS12] Keller, Nathan; Mossel, Elchanan; Sen, Arnab Geometric influences, Ann. Probab., Volume 40 (2012) no. 3, pp. 1135-1166 | DOI | MR | Zbl

[KMS14] Keller, Nathan; Mossel, Elchanan; Sen, Arnab Geometric influences II: Correlation inequalities and noise sensitivity, Ann. Inst. Henri Poincaré, Probab. Stat., Volume 50 (2014) no. 4, pp. 1121-1139 | DOI | Numdam | MR | Zbl

[MS83a] Molchanov, Stanislav A.; Stepanov, A. K. Percolation in random fields. I, Theor. Math. Phys., Volume 55 (1983) no. 2, pp. 478-484 | DOI | MR

[MS83b] Molchanov, Stanislav A.; Stepanov, A. K. Percolation in random fields. II, Theor. Math. Phys., Volume 55 (1983) no. 3, pp. 592-599 | DOI

[MS86] Molchanov, Stanislav A.; Stepanov, A. K. Percolation in random fields. III, Theor. Math. Phys., Volume 67 (1986) no. 2, pp. 434-439 | DOI | MR

[NS16] Nazarov, Fedor; Sodin, Mikhail Asymptotic laws for the spatial distribution and the number of connected components of zero sets of Gaussian random functions, Zh. Mat. Fiz. Anal. Geom., Volume 12 (2016) no. 3, pp. 205-278 | DOI | MR | Zbl

[Pit82] Pitt, Loren D. Positively correlated normal variables are associated, Ann. Probab., Volume 10 (1982), pp. 496-499 | DOI | MR | Zbl

[Riv18] Rivera, Alejandro Mécanique statistique des champs gaussiens, Ph. D. Thesis, Univ. Grenoble Alpes (France) (2018)

[Rod15] Rodriguez, Pierre-François A 0-1 law for the massive Gaussian free field, Probab. Theory Relat. Fields, Volume 169 (2015) no. 3-4, pp. 901-930 | DOI | MR | Zbl

[Rud62] Rudin, Walter Fourier analysis on groups, Interscience Tracts in Pure and Applied Mathematics, 12, Interscience Publishers, 1962 | MR

[Rus78] Russo, Lucio A note on percolation, Probab. Theory Relat. Fields, Volume 43 (1978) no. 1, pp. 39-48 | MR | Zbl

[Rus82] Russo, Lucio An approximate zero-one law, Probab. Theory Relat. Fields, Volume 61 (1982) no. 1, pp. 129-139 | MR | Zbl

[RV17] Rivera, Alejandro; Vanneuville, Hugo Quasi-independence for nodal lines (2017) (https://arxiv.org/abs/1711.05009, to appear in Ann. Inst. Henri Poincaré, Probab. Stat.) | Zbl

[She07] Sheffield, Scott Gaussian free fields for mathematicians, Probab. Theory Relat. Fields, Volume 139 (2007) no. 3-4, pp. 521-541 | DOI | MR | Zbl

[SW78] Seymour, Paul D.; Welsh, Dominic J. A. Percolation probabilities on the square lattice, Ann. Discrete Math., Volume 3 (1978), pp. 227-245 | DOI | MR | Zbl

[Tal94] Talagrand, Michel On Russo’s approximate zero-one law, Ann. Probab., Volume 22 (1994) no. 3, pp. 1576-1587 | DOI | MR | Zbl

[Tas16] Tassion, Vincent Crossing probabilities for Voronoi percolation, Ann. Probab., Volume 44 (2016) no. 5, pp. 3385-3398 | DOI | MR | Zbl

[Van18] Vanneuville, Hugo Percolation dans le plan : dynamiques, pavages aléatoires et lignes nodales, Ph. D. Thesis, Univ. Lyon 1 (France) (2018)

Cité par Sources :