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Fractals Across the Cosmos: From Microscopic Life to Galactic Structures

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02 June 2025

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02 June 2025

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Abstract
Benoît Mandelbrot's original idea, fractal geometry, offers a strong framework for grasping the intricate complexity and self-similarity seen throughout many natural events. The pervasive occurrence of fractals is investigated in this essay together with their basic influence on biological systems, geological structures, and cosmic architectures. From the vast distribution of galaxies in the cosmos to the branching patterns inside human physiology, fractals provide great insights on the fundamental ideas of growth, efficiency, and organization in nature. This paper will explore instances across humans, birds, animals, Earth, space, the cosmos, and galaxies, therefore emphasizing the mathematical beauty and scientific utility of fractal dimensions in characterizing the world around us.
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1. Introduction

There are many forms in the natural world that resist basic geometric explanation. Mandelbrot(Mageed 2024 a), noted that clouds are not spheres, mountains are not cones, and coastlines are not circles. With its emphasis on smooth, uniform forms, Euclidean geometry has been the most often used framework for scientific investigation throughout ages. But with the introduction of fractal geometry in the middle of the 20th century (Mageed, 2024 a), our capacity to measure and understand the intrinsic irregularity and complexity present in nature was transformed. Fundamentally, a fractal (Mageed, 2024a) is a rough or broken geometric form that can be broken down into parts, each of which is (at least roughly) a lesser replica of the whole. Together with a fractal dimension often greater than its topological dimension, this quality—known as self-similarity—reveals a more fundamental order inside seeming anarchy.
Given their prevalence, fractal patterns seem not only to be coincidences but also emergent characteristics of basic physical and biological mechanisms (Mageed & Mohamed, 2023; Mageed, 2024b). From the efficient transport networks inside living organisms to the enormous, filamentary structures of the cosmic web, fractals offer best answers for maximizing surface area, lowering energy use, or enabling sophisticated interactions across ranges (Mageed, 2025). The manifestation and importance of fractal geometry across an astonishing array of scales and spheres will be thoroughly explored in this paper: the complex biological systems of humans(Mageed & Mohamed, 2023), birds, and animals; the dynamic geological characteristics of Earth; and the awe-inspiring, large-scale constructions of space, the universe(Mageed, 2025), and galaxies. By looking at these different instances, we hope to highlight the unifying power of fractal mathematics in revealing the underlying structure of our universe.

2. Fractals in Humans

A wonder of biological engineering, the human body shows fractal features at several levels, therefore highlighting the efficacy and strength of fractal designs in biological systems. The lungs' bronchial tree is perhaps the most striking illustration. Following a self-similar pattern as in Figure 1 (c.f., Mageed & Mohamed, 2023), this complex network of airways splits repeatedly from the trachea down to the small alveoli. Though on a lesser scale, each branching generation reflects the last one. Maximizing the surface area accessible for gas exchange, this fractal branching enables efficient oxygen intake and carbon dioxide removal in a small volume (Ortiz-Puerta, 2023) suggests that the fractal dimension of the human lung is roughly 2.7-2.9, hence indicating its space-filling efficiency.
In a same vein, the human circulatory system is a textbook case of a fractal network. Arteries branch into arterioles, which further divide into capillaries, therefore creating a large, self-similar tree that permeates every tissue and cell (Poole & Musch, 2023; Johannes, 2025). This fractal design guarantees effective delivery of blood, oxygen, and nutrients to every part of the body as well as thorough removal of metabolic waste products. (Žnidarič et al., 2023) argues that the fractal character of the vascular system minimizes the energy needed for circulation and maximizes flow resistance. Reflecting its capacity to occupy a three-dimensional environment (Grosu et al., 2023), studies have proved that the fractal dimension of the human vascular tree is around 3.
Particularly in its complex neural networks and the complex surface of the cerebral cortex, the human brain exhibits fractal characteristics. (Maryenko, 2024) The cortex's folding, which enables a great surface area to be packed into a constrained cranial volume, shows fractal characteristics. Believed to maximize the merging of synaptic inputs (Guidolin et al., 2024), the receptive extensions of neurons also display fractal geometry in their branching patterns. According to (Kv et al., 2024), the fractal dimension of dendritic trees has been related with neuronal complexity and functional efficiency. Moreover, suggesting scale-invariant processes underlying cognitive activities are the temporal dynamics of brain activity, measured by electroencephalography (EEG), often show fractal fluctuations (Morales et al., 2023).
Beyond these internal systems, even the human skin can show fractal patterns, especially in the arrangement of pores or the complex lines of fingerprints (Roy & Vemaganti, 2024). Less obviously fractal than the lung or circulatory system, the micro-architecture of skin can reveal self-similar roughness at several magnifications. These biological systems' fractal characteristic emphasizes their evolutionary optimization for function, resilience, and adaptability (West, 2022). Knowing these fractal dimensions can also have important consequences for medical diagnostics, for example in detecting aberrant tissue structure or physiological rhythms (Catrambone et al., 2021).

3. Fractals in Birds and Animals

From the minute patterns within single cells to the more extensive groupings of species, the animal kingdom offers a great canvas of fractal representations. Classic examples of fractal development, the branching patterns of antlers in deer or moose maximize surface area and strength for fighting or display Di Guida et al., 2025). Every branch reflects the general structure, so fostering an elegant but effective composition. Likewise adapting to mechanical stresses (Innocenti et al., 2022), the skeletal structures of several species—especially the trabecular bone within joints—exhibit a fractal-like porous architecture offering greatest strength with least material. According to (Eser & Sarıbaş, 2024), weight bearing and shock absorption depend on this self-similar configuration of bone struts.
Like those of humans, the nervous systems of several creatures show fractal branching of neurons and their dendritic trees, therefore enhancing connectivity and signal processing (Kunasegaran et al. 2023). Remarkably maximizing their reach within the soil (Weigelt et al., 2021), the complex network of roots in plants—essential for nutrient and water uptake—also follows fractal patterns. Although not living, the ideas pertain to biological development.
Feather structure in birds can show fractal features. According to (Xu & Barrett, 2025, the barbules branching off barbs, which then branch off the main rachis, create a hierarchical, self-similar structure that enhances the feather's strength, lightness, and aerodynamic qualities. This complex structure insulates and enables quick flight. Additionally, emergent fractal patterns can occasionally be seen in the swarming of insects or fish or in the flocking of birds (Caprini et al., 2020). Although not a fixed fractal, the dynamic collective motion can show scale-invariant correlations, where the patterns of movement at one scale resemble those at another, therefore reflecting complex interactions between people (Gómez-Nava et al., 2022). Often highly effective group reactions to predators or habitat changes result from this self-organisation. For a fascinating visualisation, see Figure 2 (c.f., Montgomery, 2024).
Similar as those in people, the circulatory and respiratory systems of animals are therefore obvious instances of fractal networks (Ghanbari et al., 2020). Adhering to fractal principles for best transport (Maina, 2023), these systems range from the gills of fish to the tracheae of insects maximize surface area for exchange within a limited volume. Though seeming hexagonal, the honeycomb pattern produced by bees may be seen as a packing problem solution contributing to the general fractal-like efficiency of the hive's organization at a bigger scale (Shoemaker et al., 2021).
Sometimes even the patterns on animal coats—such as the stripes of a zebra or the spots of a leopard—can be defined using reaction-diffusion models generating fractal-like patterns (Yang et al., 2021). Though not mathematically self-similar, these patterns often show scale-invariance in their statistical characteristics, therefore reflecting the underlying developmental processes. Emphasizing their function as basic blueprints for biological complexity and functional optimization, fractals are extensively seen in animal morphology and behavior (Karperien & Jelinek, 2024).

4. Fractals on Earth

From large geologic features to microscopic mineral structures, our dynamic canvas, Earth, is etched in many forms by fractal geometry(Bhat & Mageed, 2023; Mageed, 2023c; Mageed, 2024d). The coastline is maybe the most well-known instance. As Mandelbrot so expertly showed, the length of a coastline varies with the length of the measuring instrument applied (Bhat & Mageed, 2023; Mageed, 2023c; Mageed, 2024d). Looking closer reveals more complex details—bays within bays, coves inside coves—showing a self-similar pattern across scales. Coastlines have a fractal dimension usually between 1 and 2 because of this intrinsic oddity, which reflects their roughness and space-filling qualities (Mageed, 2024 a, Bhat & Mageed, 2023; Mageed, 2023c; Mageed, 2024d), as depicted in Figure 3 (c.f., Mageed, 2024 a).The fractal dimension of a coastline reflects the interplay of geological processes like erosion, sedimentation, and tectonic activity.
Another classic instance of fractal geometry on Earth are river networks. From big rivers to little streams, the bifurcation patterns of rivers and their tributaries create very effective drainage systems (Bhat & Mageed, 2023; Mageed, 2023c; Mageed, 2024d).
This structured branching helps to reduce the total length of the river channels while maximising the area drained, therefore improving water flow and sediment transport. Often, the fractal dimension of river networks is found to be around 2, which suggests their space-filling effectiveness in two dimensions (Bhat & Mageed,2023;Mageed,2023c; Mageed, 2024d).Energy dissipation and hydrological efficiency ideas generate this fractal arrangement.
Fractal features may also be found in mountain ranges and topographic surfaces. Fractal dimensions can help to characterize the toughness of mountains, whose peaks and valleys show at different scales (Srivastava et al., 2021). Under great timescales, geologic processes such faulting, folding, and erosion combine to produce this scale-invariant roughness. Reflecting the variating slopes of complexity and erosion (El-Nabulsi & Anukool, 2022), topographic fractal dimension can span 2.0 to 2.5.
Moreover, patterns of clouds show fractal qualities. From little cumulus to large storm systems, the erratic, wispy forms of clouds often show self-similarity at several magnifications (Fleischmann, et al., 2014). Reflecting the turbulent processes of atmospheric dynamics (Barnsley & Demko, 2014), clouds usually have a fractal dimension of around 2.35. Understanding atmospheric transport and climate modeling depends on this fractal character.
Even on a tiny scale, rock fractures and geologic fault lines can show fractal designs (Yang & Liu, 2022). Cracks in rocks often obey fractal scaling rules in their geometry and distribution, therefore affecting the mechanical characteristics of the crust of the Earth and the propagation of earthquakes (Li et al., 2025). Influenced by the fractal distribution of fuel and wind patterns (Qin et al., 2024), the fractal character of forest fires and their spreading patterns also shows self-organization and scale-invariance. (Milovanov & Iomin, 2023) argued that the ubiquitous occurrence of fractals on Earth highlights the basic function of scale-invariance and self-organization in determining the physical environment and dynamic processes of our planet.

5. Fractals in Space, the Universe, and Galaxies

From our solar system to the whole observable universe(Teles et al., 2022), the largest scales of the cosmos unexpectedly show fractal-like patterns that challenge established cosmological theories and provide fresh insights on the distribution of matter. Although celestial bodies like planets and stars are usually spherical(Teles et al., 2022), their distribution and the greater constructions they create sometimes show fractal features, as in Figure 4 and Figure 5 (c.f., Puetz, 2022).
Although not exactly fractal(Teles et al., 2022), some events inside our solar system can be examined from a viewpoint of scale-invariance. For example, the distribution of craters on planetary surfaces sometimes reflects power-law distributions, which may be suggestive of fractal processes of impact and erosion (Lagain et al., 2022). Though their fractal dimension is debated (Tiscareno & Murray, 2018), the ring systems of gas giants like Saturn, with their complex substructures and gaps, can show complex patterns that, at certain resolutions, might suggest self-organization driven by gravitational interactions.
Beyond our close surroundings(Teles et al., 2022), the arrangement of galaxies in the cosmos offers one of the most convincing large-scale instances of fractal geometry. Galaxy surveys show that galaxies are grouped into large, filamentary constructions, walls, and voids rather than evenly dispersed, hence forming the cosmic web (Norris et al., 2021; Vogelsberger et al., 2020).
Cosmology has long argued over the idea of a fractal universe. Though the standard cosmological model typically assumes homogeneity on very large scales, the observed fractal clustering of galaxies up to hundreds of megaparsecs implies that fractal geometry might be a more precise depiction of the universe's structure over a wide range of scales (Peebles, 2020) Some theories (Pössel, 2020) provide an alternative explanation for the observed large-scale structure without calling for exotic dark material or dark energy. According to theory, the hierarchical clustering (Cassey et al., 2023) resulting from the gravitational collapse of primordial density perturbations gives rise to the fractal character of the cosmic web.
Additionally studied for fractal characteristics is the distribution of quasars and gamma-ray bursts, so exposing maybe new understanding about the greatest structures and most energetic occurrences in the cosmos (Gaite, 2019; Giovanelli, 2025).

Conclusion

Fractal geometry's investigation across many fields—from the complex biological architectures within living entities to the huge, hierarchical structures of the cosmos—reveals its great and pervasive impact on the natural environment. Far from being just mathematical curiosities, fractals provide a strong lens via which to grasp the basic rules controlling growth, efficiency, and organization in nature. While the fractal designs of animal antlers and bone structures show effective material use and strength, the self-similar branching of human lungs and circulatory systems maximizes transport and exchange. The rough coastlines, complicated river systems, and dense mountain ranges that adorn our planet are clear evidence of the scale-invariant processes of rock formation and erosion.
Most notably, the cosmic web with its filamentary arrangement of galaxies questions our conventional ideas of cosmic homogeneity, implying that the universe itself may show fractal characteristics over great distances. This fractal model offers a strong basis for grasping how straightforward, repetitive rules generate complexity from simple beginnings, resulting in emergent patterns that are functionally optimized and aesthetically appealing.
Beyond simple description, fractal geometry has use in fields as diverse as medicine (diagnosing disease based on changes in fractal dimensions of tissues) to environmental science (modeling forest fire spread or river basin hydrology) and cosmology (understanding the evolution of large-scale structure). Though the exact fractal dimension and the scope of scales over which self-similarity holds true might vary, the basic concept is constant: nature usually creates intricate forms by repeating basic patterns at several magnifications.
Fractal geometry offers in essence a graceful and unifying mathematical language for capturing the intrinsic irregularity and hierarchical organization of the cosmos. It exposes a hidden order underlying the observed anarchy of natural events by connecting the microscopic and the macroscopic. Fractal geometric provides insights that will certainly be essential in unravelling the deep riddles of our universe, from the smallest biological structures to the vastest galactic tapestries, as our knowledge of complicated systems keeps growing.

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Figure 1. (A) The hexa-flake fractal is made recursively from progressively smaller hexagonal patterns. There are four layers of self-similarity in this example. (B) A fractal, which is an iterative construction of the Hilbert curve from a bilobed pattern. The extent of self-similarity is restricted to how this fractal formed and constructed. In the limit, the hexa-flake's fractal dimension (FD) is FD = 141.77. FD =142 indicates that it completely occupies the plane5, in contrast to the Hilbert curve, which only partially fills the plane.
Figure 1. (A) The hexa-flake fractal is made recursively from progressively smaller hexagonal patterns. There are four layers of self-similarity in this example. (B) A fractal, which is an iterative construction of the Hilbert curve from a bilobed pattern. The extent of self-similarity is restricted to how this fractal formed and constructed. In the limit, the hexa-flake's fractal dimension (FD) is FD = 141.77. FD =142 indicates that it completely occupies the plane5, in contrast to the Hilbert curve, which only partially fills the plane.
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Figure 2. Examination of Fractal Patterns in the Respiratory System in Different Species.
Figure 2. Examination of Fractal Patterns in the Respiratory System in Different Species.
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Figure 3. (a) the Great Britain coastline, (b) Germany's land border, (c) Portugal's land border, (d) Australia's coastline/border, and e. South Africa's coastline.
Figure 3. (a) the Great Britain coastline, (b) Germany's land border, (c) Portugal's land border, (d) Australia's coastline/border, and e. South Africa's coastline.
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Figure 4. An example of indefinitely fractal matter densities, a neomechanical idea. Three solid-like things at the fractalMi scale are represented by red circles 960, while the more numerous fractalMi-1 particles of matter are represented by small blue circles. These bits of matter are solidified inside the circles and exist as a gas-like medium outside of them.
Figure 4. An example of indefinitely fractal matter densities, a neomechanical idea. Three solid-like things at the fractalMi scale are represented by red circles 960, while the more numerous fractalMi-1 particles of matter are represented by small blue circles. These bits of matter are solidified inside the circles and exist as a gas-like medium outside of them.
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Figure 5. Neomechanical gravitational stacking of endlessly 1285 fractal matter is depicted by log-normal distributions. As a 1286 function of radial distance from a spheroid's centre, the nine curves show the presumed relative quantity of fractal matter. The purple curve, which indicates small mass, low density forms of matter, gradually replaces the dark red curve, which indicates huge mass, high density forms of matter (1287). Although a mixture of all matter types can be found at all radii, relative abundance is inversely correlated with density and mass (1289). Small mass, low density forms of 1291 matter are most prevalent at distant radii, whereas large mass, 1290 high density forms of matter are most abundant near the core.
Figure 5. Neomechanical gravitational stacking of endlessly 1285 fractal matter is depicted by log-normal distributions. As a 1286 function of radial distance from a spheroid's centre, the nine curves show the presumed relative quantity of fractal matter. The purple curve, which indicates small mass, low density forms of matter, gradually replaces the dark red curve, which indicates huge mass, high density forms of matter (1287). Although a mixture of all matter types can be found at all radii, relative abundance is inversely correlated with density and mass (1289). Small mass, low density forms of 1291 matter are most prevalent at distant radii, whereas large mass, 1290 high density forms of matter are most abundant near the core.
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