Relation between Lacunarity, Correlation dimension and Euclidean dimension of Systems
Abhra Giri, Sujata Tarafdar, Tapati Dutta

TL;DR
This paper establishes a general relation connecting lacunarity, correlation dimension, and Euclidean dimension in fractal and multifractal systems, validated across various deterministic and real-world examples using standard algorithms.
Contribution
It introduces a novel relation linking these measures through the slope of the lacunarity curve, applicable to diverse systems and geometries.
Findings
The relation accurately predicts the lacunarity curve slope in all tested systems.
The relation holds across 2D and 3D, deterministic and real-world systems.
Validation on six diverse systems confirms its broad applicability.
Abstract
Lacunarity is a measure often used to quantify the lack of translational invariance present in fractals and multifractal systems. The generalised dimensions, specially the first three, are also often used to describe various aspects of mass distribution in such systems. In this work we establish that the graph (\textit{lacunarity curve}) depicting the variation of lacunarity with scaling size, is non-linear in multifractal systems. We propose a generalised relation between the Euclidean dimension, the Correlation Dimension and the lacunarity of a system that lacks translational invariance, through the slope of the lacunarity curve. Starting from the basic definitions of these measures and using statistical mechanics, we track the standard algorithms- the box counting algorithm for the determination of the generalised dimensions, and the gliding box algorithm for lacunarity, to establish…
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Taxonomy
TopicsAdvanced Data Processing Techniques
