Fractal Functions: Theoretical Research and Application Analysis

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "General Mathematics, Analysis".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 1542

Special Issue Editors


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Guest Editor
School of Mathematics and Statistics; Nanjing University of Science and Technology, Nanjing 210094, China
Interests: fractional calculus on fractal functions; fractal geometry; fractal dimensions; function approximation theory

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Guest Editor
Institute of statistics and applied mathematics, Anhui University of Finance and Economics, Bengbu 233030, China
Interests: fractal geometry; fractal functions; number theory

Special Issue Information

Dear Colleagues,

Fractal geometry is an important branch of mathematics that allows for the description of sets that are too intricate to fit into classical geometry. The concept of fractals was first introduced by Mandelbrot in the 1970s as a class of highly irregular sets, usually presenting with self-similarity, infinite complexity, and a non-integral fractal dimension. Up to now, it has been hugely significant for the development of a variety of sciences. In mathematics, fractals originate from chaos and dynamic systems. Soon after their discovery, they began to appear in almost every field and were systematically studied using classical and modern methods. In recent years, scholars have mainly focused on the following research objects: fractal dimensions of graphs, fractal interpolation and approximation, fractals and dynamical systems, self-similarity and Lipschitz equivalence, geometric measure theory, fractional calculus of fractal functions, fractal geometry, number theory, etc.

Fractal curves and fractal functions are a class of important research objects in fractal geometry. As is well known, fractal curves are widely distributed in nature, being found in lightning, snowflakes, coastlines, geological crack lines, and so on. In mathematical analysis, fractal functions are usually regarded as continuous functions of one variable based on a two-dimensional Cartesian coordinate system to probe their fractal characteristics. The fractal dimension, as a common measure of the geometric complexity of sets, can be an essential tool to describe their fractal characteristics. In recent years, fractal functions have been widely applied in other academic fields, such as physics, statistics, geology, material science, quantization theory, signal processing, computer image processing, pattern recognition, and more. Therefore, fractal functions have increasingly shown their tremendous research value for both real life and scientific development.

This Special Issue aims to collect a series of high-quality papers from renowned experts around the world to present the latest research on fractal functions with their application and analysis in various fields.

Prof. Dr. Yong-Shun Liang
Prof. Dr. Jia Liu
Guest Editors

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Keywords

  • iterated function systems
  • fractal interpolation functions
  • fractal functions
  • fractal surfaces
  • fractional calculus
  • function spaces
  • self-similar sets and measures
  • self-affine and self-conformal sets/measures
  • fractal approximation and modeling
  • quantization dimension
  • box dimension, Hausdorff dimension, and L^q dimensions
  • applications of the fractal functions to any areas of finance, engineering, economy, biology, etc.

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Published Papers (3 papers)

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Research

15 pages, 560 KiB  
Article
Entropiesand Degree-Based Topological Indices of Generalized Sierpiński Graphs
by Si-Ao Xu, Jia-Dong Si and Jia-Bao Liu
Fractal Fract. 2025, 9(3), 190; https://doi.org/10.3390/fractalfract9030190 - 19 Mar 2025
Viewed by 308
Abstract
Fractals are geometric patterns that appear self-similar across all length scales and are constructed by repeating a single unit on a regular basis. Entropy, as a core thermodynamic function, is an extension based on information theory (such as Shannon entropy) that is used [...] Read more.
Fractals are geometric patterns that appear self-similar across all length scales and are constructed by repeating a single unit on a regular basis. Entropy, as a core thermodynamic function, is an extension based on information theory (such as Shannon entropy) that is used to describe the topological structural complexity or degree of disorder in networks. Topological indices, as graph invariants, provide quantitative descriptors for characterizing global structural properties. In this paper, we investigate two types of generalized Sierpiński graphs constructed on the basis of different seed graphs, and employ six topological indices—the first Zagreb index, the second Zagreb index, the forgotten index, the augmented Zagreb index, the Sombor index, and the elliptic Sombor index—to analyze the corresponding entropy. We utilize the method of edge partition based on vertex degrees and derive analytical formulations for the first Zagreb entropy, the second Zagreb entropy, the forgotten entropy, the augmented Zagreb entropy, the Sombor entropy, and the elliptic Sombor entropy. This research approach, which integrates entropy with Sierpiński network characteristics, furnishes novel perspectives and instrumental tools for addressing challenges in chemical graph theory, computer networks, and other related fields. Full article
(This article belongs to the Special Issue Fractal Functions: Theoretical Research and Application Analysis)
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13 pages, 262 KiB  
Article
Progress on Fractal Dimensions of the Weierstrass Function and Weierstrass-Type Functions
by Yue Qiu and Yongshun Liang
Fractal Fract. 2025, 9(3), 143; https://doi.org/10.3390/fractalfract9030143 - 25 Feb 2025
Viewed by 539
Abstract
The Weierstrass function W(x)=n=1ancos(2πbnx) is a function that is continuous everywhere and differentiable nowhere. There are many investigations on fractal dimensions of the Weierstrass [...] Read more.
The Weierstrass function W(x)=n=1ancos(2πbnx) is a function that is continuous everywhere and differentiable nowhere. There are many investigations on fractal dimensions of the Weierstrass function, and the investigation of its Hausdorff dimension is still ongoing. In this paper, we summarize past researchers’ investigations on fractal dimensions of the Weierstrass function graph. Full article
(This article belongs to the Special Issue Fractal Functions: Theoretical Research and Application Analysis)
20 pages, 1031 KiB  
Article
Entropies and Degree-Based Topological Indices of Coronene Fractal Structures
by Si-Ao Xu and Jia-Bao Liu
Fractal Fract. 2025, 9(3), 133; https://doi.org/10.3390/fractalfract9030133 - 20 Feb 2025
Viewed by 370
Abstract
Molecular fractals are geometric patterns that appear self-similar across all length scales and are constructed by repeating a single unit on a regular basis. Entropy, as a core thermodynamic function, is an extension based on information theory (such as Shannon entropy) and is [...] Read more.
Molecular fractals are geometric patterns that appear self-similar across all length scales and are constructed by repeating a single unit on a regular basis. Entropy, as a core thermodynamic function, is an extension based on information theory (such as Shannon entropy) and is used to describe the topological structural complexity or degree of disorder in networks. A topological index is a numeric quantity associated with a network or a graph that characterizes its whole structural properties. In this study, we focus on fractal structures formed by systematically repeating a fixed unit of coronene, a polycyclic aromatic hydrocarbon composed of six benzene rings fused in a hexagonal pattern. In this paper, three types of coronal fractal structures, namely zigzag (ZHCF), armchair (AHCF), and rectangular (RCF), are studied, and their five degree-based topological indices and corresponding entropies are calculated. Full article
(This article belongs to the Special Issue Fractal Functions: Theoretical Research and Application Analysis)
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