Communications in Mathematical Physics

, Volume 372, Issue 2, pp 543–572 | Cite as

Critical Two-Point Function for Long-Range Models with Power-Law Couplings: The Marginal Case for \({d\ge d_{\rm c}}\)

  • Lung-Chi Chen
  • Akira SakaiEmail author


Consider the long-range models on \({\mathbb{Z}^d}\) of random walk, self-avoiding walk, percolation and the Ising model, whose translation-invariant 1-step distribution/coupling coefficient decays as \({|x|^{-d-\alpha}}\) for some \({\alpha > 0}\) . In the previous work (Chen and Sakai in Ann Probab 43:639–681, 2015), we have shown in a unified fashion for all \({\alpha\ne2}\) that, assuming a bound on the “derivative” of the \({n}\) -step distribution (the compound-zeta distribution satisfies this assumed bound), the critical two-point function \({G_{p_{\rm c}}(x)}\) decays as \({|x|^{\alpha\wedge2-d}}\) above the upper-critical dimension \({d_{\rm c}\equiv(\alpha\wedge2)m}\) , where m = 2 for self-avoiding walk and the Ising model and m = 3 for percolation. In this paper, we show in a much simpler way, without assuming a bound on the derivative of the n-step distribution, that \({G_{p_{\rm c}}(x)}\) for the marginal case α = 2 decays as \({|x|^{2-d}/\log|x|}\) whenever d ≥ dc (with a large spread-out parameter L). This solves the conjecture in Chen and Sakai (2015), extended all the way down to d = dc, and confirms a part of predictions in physics (Brezin et al. in J Stat Phys 157:855–868, 2014). The proof is based on the lace expansion and new convolution bounds on power functions with log corrections.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.



The work of AS was supported by JSPS KAKENHI Grant Number 18K03406. The work of LCC was supported by the Grant MOST 107-2115-M-004-004-MY2. We are grateful to the Institute of Mathematics and Mathematics Research Promotion Center (MRPC) of Academia Sinica, as well as the National Center for Theoretical Sciences (NCTS) at National Taiwan University, for providing us with comfortable working environment in multiple occasions. We would also like to thank the referees for their comments to improve presentation of this paper.


  1. 1.
    Aizenman M.: Geometric analysis of \({\phi^4}\) fields and Ising models. Commun. Math. Phys. 86, 1–48 (1982)ADSMathSciNetCrossRefGoogle Scholar
  2. 2.
    Aizenman M., Barsky D.J.: Sharpness of the phase transition in percolation models. Commun. Math. Phys. 108, 489–526 (1987)ADSMathSciNetCrossRefGoogle Scholar
  3. 3.
    Aizenman M., Barsky D.J., Fernández R.: The phase transition in a general class of Ising-type models is sharp. J. Stat. Phys. 47, 343–374 (1987)ADSMathSciNetCrossRefGoogle Scholar
  4. 4.
    Aizenman M., Duminil-Copin H., Sidoravicius V.: Random currents and continuity of Ising model’s spontaneous magnetization. Commun. Math. Phys. 334, 719–742 (2015)ADSMathSciNetCrossRefGoogle Scholar
  5. 5.
    Aizenman M., Fernández R.: On the critical behavior of the magnetization in high-dimensional Ising models. J. Stat. Phys. 44, 393–454 (1986)ADSMathSciNetCrossRefGoogle Scholar
  6. 6.
    Aizenman M., Newman C.M.: Tree graph inequalities and critical behavior in percolation models. J. Stat. Phys. 36, 107–143 (1984)ADSMathSciNetCrossRefGoogle Scholar
  7. 7.
    Angelini MC, Parisi G, Ricci-Tersenghi F: Relation between short-range and long-range Ising models. Phys. Rev. E 89, 062120 (2014)ADSCrossRefGoogle Scholar
  8. 8.
    Brezin E., Parisi G., Ricci-Tersenghi F.: The crossover region between long-range and short-range interactions for the critical exponents. J. Stat. Phys. 157, 855–868 (2014)ADSMathSciNetCrossRefGoogle Scholar
  9. 9.
    Brydges D., Spencer T.: Self-avoiding walk in 5 or more dimensions. Commun. Math. Phys. 97, 125–148 (1985)ADSMathSciNetCrossRefGoogle Scholar
  10. 10.
    Chen L.-C., Sakai A.: Critical behavior and the limit distribution for long-range oriented percolation. I. Probab. Theory Relat. Fields 142, 151–188 (2008)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Chen L.-C., Sakai A.: Critical behavior and the limit distribution for long-range oriented percolation. II: spatial correlation. Probab. Theory Relat. Fields 145, 435–458 (2009)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Chen L.-C., Sakai A.: Asymptotic behavior of the gyration radius for long-range self-avoiding walk and long-range oriented percolation. Ann. Probab. 39, 507–548 (2011)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Chen L.-C., Sakai A.: Critical two-point functions for long-range statistical-mechanical models in high dimensions. Ann. Probab. 43, 639–681 (2015)MathSciNetCrossRefGoogle Scholar
  14. 14.
    Duminil-Copin H., Tassion V.: A new proof of the sharpness of the phase transition for Bernoulli percolation and the Ising model. Commun. Math. Phys. 343, 725–745 (2016)ADSMathSciNetCrossRefGoogle Scholar
  15. 15.
    Hara T.: Decay of correlations in nearest-neighbour self-avoiding walk, percolation, lattice trees and animals. Ann. Probab. 36, 530–593 (2008)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Hara T., Hofstad R., Slade G.: Critical two-point functions and the lace expansion for spread-out high-dimensional percolation and related models. Ann. Probab. 31, 349–408 (2003)MathSciNetCrossRefGoogle Scholar
  17. 17.
    Hara T., Slade G.: Mean-field critical behaviour for percolation in high dimensions. Commun. Math. Phys. 128, 333–391 (1990)ADSMathSciNetCrossRefGoogle Scholar
  18. 18.
    Hara T., Slade G.: On the upper critical dimension of lattice trees and lattice animals. J. Stat. Phys. 59, 1469–1510 (1990)ADSMathSciNetCrossRefGoogle Scholar
  19. 19.
    Heydenreich M., van derHofstad R., Sakai A.: Mean-field behavior for long- and finite-range Ising model, percolation and self-avoiding walk. J. Stat. Phys. 132, 1001–1049 (2008)ADSMathSciNetCrossRefGoogle Scholar
  20. 20.
    Lebowitz J.: GHS and other inequalities. Commun. Math. Phys. 35, 87–92 (1974)ADSMathSciNetCrossRefGoogle Scholar
  21. 21.
    Lohmann M., Slade G., Wallace B.C.: Critical two-point function for long-range O(n) models below the upper critical dimension. J. Stat. Phys. 169, 1132–1161 (2017)ADSMathSciNetCrossRefGoogle Scholar
  22. 22.
    Madras N., Slade G.: The Self-Avoiding Walk. Birkhäuser, Basel (1993)zbMATHGoogle Scholar
  23. 23.
    Menshikov M.V.: Coincidence of critical points in percolation problems. Soviet Math. Doklady 33, 856–859 (1986)zbMATHGoogle Scholar
  24. 24.
    Nguyen B.G., Yang W-S.: Triangle condition for oriented percolation in high dimensions. Ann. Probab. 21, 1809–1844 (1993)MathSciNetCrossRefGoogle Scholar
  25. 25.
    Sakai A.: Mean-field critical behavior for the contact process. J. Stat. Phys. 104, 111–143 (2001)MathSciNetCrossRefGoogle Scholar
  26. 26.
    Sakai A.: Lace expansion for the Ising model. Commun. Math. Phys. 272, 283–344 (2007)ADSMathSciNetCrossRefGoogle Scholar
  27. 27.
    Sakai A.: Application of the lace expansion to the \({\varphi^4}\) model. Commun. Math. Phys. 336, 619–648 (2015)ADSMathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mathematical SciencesNational Chengchi UniversityTaipeiTaiwan
  2. 2.Mathematics DivisionNational Center for Theoretical SciencesTaipeiTaiwan
  3. 3.Faculty of ScienceHokkaido UniversitySapporo, HokkaidoJapan

Personalised recommendations