One Hundred Unprecedented Geometries: A Multiscalar, Hyperfractal, and Hyperdynamic Approach to the Mathematical Modeling of Complexity

This paper presents a rigorous theoretical framework proposing one hundred novel geometric structures designed to address fundamental limitations in contemporary geometry's capacity to model complex adaptive systems. Each geometry is formally characterized through unique combinations of five structural elements: multiscalarity, hyperfractality, stochasticity, hyperdynamicity, and multimodality. The geometries are systematically organized into four families—cognitive, quantum, structural, and hybrid—with applications spanning artificial intelligence, quantum physics, biological systems, materials science, and social dynamics. We demonstrate the conceptual singularity of each geometry through combinatorial analysis and propose directions for future axiomatic formalization. This work should be understood as an introductory exploration of a vast conceptual space, establishing foundations for future rigorous mathematical development. Mathematics Subject Classification: 51-XX (Geometry), 37-XX (Dynamical Systems), 60-XX (Probability Theory), 68-XX (Computer Science), 81-XX (Quantum Theory), 92-XX (Biology)

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-02
DOI
https://doi.org/10.5281/zenodo.17247610
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
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article

One Hundred Unprecedented Geometries: A Multiscalar, Hyperfractal, and Hyperdynamic Approach to the Mathematical Modeling of Complexity

Zenodo (CERN European Organization for Nuclear Research)
Data-Driven Disease Surveillance
article

One Hundred Unprecedented Geometries: A Multiscalar, Hyperfractal, and Hyperdynamic Approach to the Mathematical Modeling of Complexity

article en

Abstract

This paper presents a rigorous theoretical framework proposing one hundred novel geometric structures designed to address fundamental limitations in contemporary geometry's capacity to model complex adaptive systems. Each geometry is formally characterized through unique combinations of five structural elements: multiscalarity, hyperfractality, stochasticity, hyperdynamicity, and multimodality. The geometries are systematically organized into four families—cognitive, quantum, structural, and hybrid—with applications spanning artificial intelligence, quantum physics, biological systems, materials science, and social dynamics. We demonstrate the conceptual singularity of each geometry through combinatorial analysis and propose directions for future axiomatic formalization. This work should be understood as an introductory exploration of a vast conceptual space, establishing foundations for future rigorous mathematical development. Mathematics Subject Classification: 51-XX (Geometry), 37-XX (Dynamical Systems), 60-XX (Probability Theory), 68-XX (Computer Science), 81-XX (Quantum Theory), 92-XX (Biology)

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Data-Driven Disease Surveillance
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One Hundred Unprecedented Geometries: A Multiscalar, Hyperfractal, and Hyperdynamic Approach to the Mathematical Modeling of Complexity · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS