Non-existence of Information-Geometric Fermat Structures: Violation of Dual Lattice Consistency in Statistical Manifolds with $L^n$ Structure
Kanta Tochigi (Noguchi)

TL;DR
This paper demonstrates that certain information-geometric structures, modeled by $L^n$ constraints, cannot simultaneously satisfy dual lattice consistency, revealing fundamental incompatibilities in statistical manifolds with $L^n$ structures.
Contribution
It proves the non-existence of information-geometric Fermat structures for $n \,\geq\, 3$, highlighting a geometric obstruction due to Fourier transform incompatibilities.
Findings
Proves non-existence of dual lattice consistent structures for $n \ge 3$
Shows Fourier transform alters $L^n$ to $L^q$ spaces, breaking dual lattice symmetry
Identifies a fundamental incompatibility between local quadratic and global $L^n$ structures
Abstract
This paper reformulates Fermat's Last Theorem as an embedding problem of information-geometric structures. We reinterpret the Fermat equation as an -th moment constraint, constructing a statistical manifold of generalized normal distributions via the Maximum Entropy Principle. By Chentsov's Theorem, the natural metric is the Fisher information metric (); however, the global structure is governed by the moment constraint. This reveals a discrepancy between the local quadratic metric and the global structure. We axiomatically define an "Information-Geometric Fermat Solution," postulating that the lattice structure must maintain "dual lattice consistency" under the Legendre transform. We prove the non-existence of such structures for . Through the Poisson Summation Formula and Hausdorff-Young Inequality, we demonstrate that the Fourier transform…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Computability, Logic, AI Algorithms · Benford’s Law and Fraud Detection
