A Proof of the Kakeya Conjecture via High-Dimensional Symmetric Topology and Measure Shrinkage

Abstract This paper presents a novel framework to resolve the Kakeya Conjecture. By introducing a geometric constraint based on high-dimensional symmetric topology—mapping to 120-cell adjacency structures—and dynamic Hamiltonian routing equivalence, we transform this measure-theoretic problem into a continuous spatiotemporal model. We establish a rigorous mathematical proof utilizing the measure shrinkage principle of multi-dimensional compression gate circuits, demonstrating that the spatial overlap of Kakeya tubes does not cause anomalous dimension collapse. Consequently, this study proves that the Minkowski dimension of a Kakeya set in $\mathbb{R}^n$ strictly aligns with the topological dimension $n$, establishing that optimal topological connectivity prevents measure collapse.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-18
DOI
https://doi.org/10.5281/zenodo.21426495
Primary Topic
Topological and Geometric Data Analysis
Type
preprint
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preprint

A Proof of the Kakeya Conjecture via High-Dimensional Symmetric Topology and Measure Shrinkage

Wang Haoyue
Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
preprint

A Proof of the Kakeya Conjecture via High-Dimensional Symmetric Topology and Measure Shrinkage

Wang Haoyue
preprint en

Abstract

Abstract This paper presents a novel framework to resolve the Kakeya Conjecture. By introducing a geometric constraint based on high-dimensional symmetric topology—mapping to 120-cell adjacency structures—and dynamic Hamiltonian routing equivalence, we transform this measure-theoretic problem into a continuous spatiotemporal model. We establish a rigorous mathematical proof utilizing the measure shrinkage principle of multi-dimensional compression gate circuits, demonstrating that the spatial overlap of Kakeya tubes does not cause anomalous dimension collapse. Consequently, this study proves that the Minkowski dimension of a Kakeya set in $\mathbb{R}^n$ strictly aligns with the topological dimension $n$, establishing that optimal topological connectivity prevents measure collapse.

Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
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