IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v678y2025ics0378437125005862.html

Extreme-value statistics and super-universality in critical percolation?

Author

Listed:
  • Feshanjerdi, Mohadeseh
  • Grassberger, Peter

Abstract

Recently, the number of non-standard percolation models has proliferated. In all these models, there exists a phase transition at which long range connectivity is established, if local connectedness increases through a threshold pc. In ordinary (site or bond) percolation on regular lattices, this is a well understood second-order phase transition with rather precisely known critical exponents, but there are non-standard models where the transitions are in different universality classes (i.e. with different exponents and scaling functions), or even are discontinuous or hybrid. It was recently claimed that certain scaling functions are in all such models given by extreme-value theory and thus independent of the precise universality class. This would lead to super-universality (even encompassing first-order transitions!) and would be a major break-through in the theory of phase transitions. We show that this claim is wrong.

Suggested Citation

  • Feshanjerdi, Mohadeseh & Grassberger, Peter, 2025. "Extreme-value statistics and super-universality in critical percolation?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 678(C).
  • Handle: RePEc:eee:phsmap:v:678:y:2025:i:c:s0378437125005862
    DOI: 10.1016/j.physa.2025.130934
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437125005862
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2025.130934?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. M. E. J. Newman & R. M. Ziff, 2001. "A Fast Monte Carlo Algorithm for Site or Bond Percolation," Working Papers 01-02-010, Santa Fe Institute.
    2. Manna, S.S. & Chatterjee, Arnab, 2011. "A new route to Explosive Percolation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 177-182.
    3. Takeuchi, Kazumasa A., 2018. "An appetizer to modern developments on the Kardar–Parisi–Zhang universality class," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 504(C), pages 77-105.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Xuewei & Yang, Liwenying & Peng, Dan & Liu, Run-Ran & Li, Ming, 2025. "Finite-size scaling of percolation on scale-free networks," Chaos, Solitons & Fractals, Elsevier, vol. 200(P2).
    2. Liu, Run-Ran & Chu, Changchang & Meng, Fanyuan, 2023. "Higher-order interdependent percolation on hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    3. Urbański, O., 2025. "Exploring the variational method for thermodynamic models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 678(C).
    4. Huang, Xudong & Yang, Dong & Kang, Zhiqin, 2021. "Impact of pore distribution characteristics on percolation threshold based on site percolation theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    5. Lebrecht, W., 2025. "Empirical equation for determining critical frontiers of mixed site-bond percolation in Archimedean lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 661(C).
    6. Almeira, Nahuel & Perotti, Juan Ignacio & Chacoma, Andrés & Billoni, Orlando Vito, 2021. "Explosive dismantling of two-dimensional random lattices under betweenness centrality attacks," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    7. Hu, Xiongpeng & Hao, Dapeng & Xia, Hui, 2023. "Improved finite-difference and pseudospectral schemes for the Kardar–Parisi–Zhang equation with long-range temporal correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    8. Winkert, Éder & de Oliveira, Paulo M.C. & Faria, Luiz R.R., 2019. "Modeling diploid male dynamics in Hymenoptera: Effects of the number of alleles, dispersal by random walk and simple spatial structuring," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 45-55.
    9. D. Dujak & A. Karač & Lj. Budinski-Petković & Z. M. Jakšić & S. B. Vrhovac, 2022. "Percolation and jamming properties in particle shape-controlled seeded growth model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(9), pages 1-16, September.
    10. Muzzio, Nicolás E. & Horowitz, Claudio M. & Azzaroni, Omar & Moya, Sergio E. & Pasquale, Miguel A., 2021. "Tilted mammalian cell colony propagation dynamics on patterned substrates," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    11. Jang, Hoseung & Yu, Unjong, 2024. "Phase transitions in the node, edge, bootstrap, and diffusion percolation models on the Sierpiński carpet," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 655(C).
    12. Bastas, N. & Giazitzidis, P. & Maragakis, M. & Kosmidis, K., 2014. "Explosive percolation: Unusual transitions of a simple model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 54-65.
    13. Malarz, Krzysztof, 2023. "Random site percolation thresholds on square lattice for complex neighborhoods containing sites up to the sixth coordination zone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    14. Katori, Machiko & Katori, Makoto, 2021. "Continuum percolation and stochastic epidemic models on Poisson and Ginibre point processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    15. Jang, Hoseung & Yu, Unjong, 2025. "Percolation on sites visited by continuous random walks in a simple cubic lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 678(C).
    16. Kim, Yujin H., 2021. "The lower tail of the half-space KPZ equation," Stochastic Processes and their Applications, Elsevier, vol. 142(C), pages 365-406.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:678:y:2025:i:c:s0378437125005862. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.