Szczegóły publikacji

Opis bibliograficzny

Confirming universality of the fractal dimension of incipient percolation cluster for complex neighborhoods / Krzysztof MALARZ, Małgorzata J. KRAWCZYK // Scientific Reports [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN  2045-2322 . — 2025 — vol. 15 art. no. 32920, s. 1-9. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 7-9, Abstr. — Publikacja dostępna online od: 2025-09-25

Autorzy (2)

Słowa kluczowe

complex and extended neighborhoodsHoshen-Kopelman algorithmNewman-Ziff algorithmrandom site percolationfractal dimensionMonte Carlo simulation

Dane bibliometryczne

ID BaDAP163470
Data dodania do BaDAP2025-10-13
Tekst źródłowyURL
DOI10.1038/s41598-025-17370-x
Rok publikacji2025
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaScientific Reports

Abstract

In this paper, a 40-year-old theorem is tested, that the incipient percolation cluster has a fractal dimension equal to 91/48. With the Newman–Ziff algorithm, we measure the mass M of the incipient percolation cluster (i.e., the size of the largest cluster at the percolation threshold) versus the linear system size L which (after averaging over system realizations) nicely follows the power law with exponents ranging from 1.893954 to 1.89823 for the square lattice. The obtained fractal dimension agrees well with its analytical partner and those confirmed numerically earlier for compact neighborhoods with the nearest-neighbors on triangular and square lattices and holds for other considered neighborhoods on square lattice, including those that are not-compact. With six digits of the accuracy of reaching the percolation threshold, the percentage error of the numerical values obtained for the fractal dimension ranges from 0.028‰ to 1.264‰, which strengthens the earlier results confirming the universality of the fractality of the incipient percolation cluster. Using the Hoshen–Kopelman algorithm for cluster identification for and the box-counting procedure for the evaluation of the fractal dimension, after system realizations, we reached the percentage error of the numerical values obtained for the fractal dimension from 5‰ to 7‰, which is much worse than the percentage error obtained directly from the mass of the incipient percolation cluster as a function of the linear size of the system. Our results indicate that universality of fractality of the incipient percolation cluster is valid also for complex (non-compact) neighborhoods, which allow for occupied site connections with more ‘holes’ in cluster than allowed for extended (compact) neighborhoods. Also for a simple cubic lattice we get —independently on assumed neighborhoods—although these values are slightly higher than known in literature.

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