Scaling limit of the cluster size distribution for the random current measure on the complete graph

Dmitrii Krachun, Christoforos Panagiotis, Romain Panis

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1 Citation (SciVal)

Abstract

We study the percolation configuration arising from the random current representation of the near-critical Ising model on the complete graph. We compute the scaling limit of the cluster size distribution for an arbitrary set of sources in the single and the double current measures. As a byproduct, we compute the tangling probabilities recently introduced by Gunaratnam, Panagiotis, Panis, and Severo in [GPPS22]. This provides a new perspective on the switching lemma for the φ4 model introduced in the same paper: in the Gaussian limit we recover Wick’s law, while in the Ising limit we recover the corresponding tool for the Ising model.
Original languageEnglish
Article number160
Number of pages24
JournalElectronic Journal of Probability
Volume29
DOIs
Publication statusPublished - 5 Nov 2024

Acknowledgements

We warmly thank Hugo Duminil-Copin, Trishen Gunaratnam, and Franco Severo for inspiring discussions. We thank an anonymous referee for useful comments. The project was initiated when the authors were still at the University of Geneva.

Funding

This research is supported by the Swiss National Science Foundation and the NCCR SwissMAP.

FundersFunder number
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
NCCR Catalysis

    Keywords

    • Ising model
    • cluster
    • complete graph
    • percolation
    • random currents
    • ϕ model

    ASJC Scopus subject areas

    • Statistics and Probability
    • Statistics, Probability and Uncertainty

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