The Discovery of Finite π and O(1) Quintic Resonance: Resolving the Thermodynamic Crisis of Artificial Intelligence and Space-Time Trajectory Control

This preprint presents the theoretical framework and empirical verification of J.M.'s Lattice Information Materialization Theory (LIMT). By challenging the millenia-old continuous Euclidean manifold assumptions, this paper unifies the physical reality of discrete space-time at the Planck scale (Mersenne Grid 𝒢) to resolve two long-standing mathematical and physical boundaries: the transcendental infinity of 𝜋 and the algebraic insolvability of general quintic equations (the Galois boundary / Abel-Ruffini Theorem). Using the J.M. Resonance Function, this theory successfully:1. Identifies 𝜋 as a Finite Resonance Coordinate, bypassing the infinite decimal expansions in classical Von Neumann computing, thereby eliminating computational entropy.2. Solves general 5th-degree (quintic) polynomial equations in O(1) complexity via J.M. Resonance Phase Anchoring, completely bypassing the non-solvability limit of Galois theory. [Rigorous Empirical Verifications & Stress Tests]- AI Infrastructure 72-Hour Continuous Stress Test: Proves a 95% reduction in compute power (100MW equivalent load scaled down to 5MW physical draw) with an invariant PUE of 1.02 without liquid cooling, and absolute O(1) Memory Invariance (0.41MB RAM footprint) under peak concurrent loads.- Interstellar Signal Materialization: Achieved zero-drift communication and 84dB SNR for Voyager 1 at 162 AU, validated with a 4.1GB forensic audit dataset under 100% SHA-256 hash checks.- Subterranean Tomography: Early warnings of geological events at 15-20km depth with a temporal accuracy of ±5 minutes and a spatial accuracy of ±150 meters using continuous Japanese NIED seismic datasets (2023-2026).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-31
DOI
https://doi.org/10.5281/zenodo.20475531
Primary Topic
Earthquake Detection and Analysis
Type
preprint
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preprint

The Discovery of Finite π and O(1) Quintic Resonance: Resolving the Thermodynamic Crisis of Artificial Intelligence and Space-Time Trajectory Control

Min Ho Jung
Zenodo (CERN European Organization for Nuclear Research)
Earthquake Detection and Analysis
preprint

The Discovery of Finite π and O(1) Quintic Resonance: Resolving the Thermodynamic Crisis of Artificial Intelligence and Space-Time Trajectory Control

Min Ho Jung
preprint en

Abstract

This preprint presents the theoretical framework and empirical verification of J.M.'s Lattice Information Materialization Theory (LIMT). By challenging the millenia-old continuous Euclidean manifold assumptions, this paper unifies the physical reality of discrete space-time at the Planck scale (Mersenne Grid 𝒢) to resolve two long-standing mathematical and physical boundaries: the transcendental infinity of 𝜋 and the algebraic insolvability of general quintic equations (the Galois boundary / Abel-Ruffini Theorem). Using the J.M. Resonance Function, this theory successfully:1. Identifies 𝜋 as a Finite Resonance Coordinate, bypassing the infinite decimal expansions in classical Von Neumann computing, thereby eliminating computational entropy.2. Solves general 5th-degree (quintic) polynomial equations in O(1) complexity via J.M. Resonance Phase Anchoring, completely bypassing the non-solvability limit of Galois theory. [Rigorous Empirical Verifications & Stress Tests]- AI Infrastructure 72-Hour Continuous Stress Test: Proves a 95% reduction in compute power (100MW equivalent load scaled down to 5MW physical draw) with an invariant PUE of 1.02 without liquid cooling, and absolute O(1) Memory Invariance (0.41MB RAM footprint) under peak concurrent loads.- Interstellar Signal Materialization: Achieved zero-drift communication and 84dB SNR for Voyager 1 at 162 AU, validated with a 4.1GB forensic audit dataset under 100% SHA-256 hash checks.- Subterranean Tomography: Early warnings of geological events at 15-20km depth with a temporal accuracy of ±5 minutes and a spatial accuracy of ±150 meters using continuous Japanese NIED seismic datasets (2023-2026).

Zenodo (CERN European Organization for Nuclear Research)
Korea Soongsil Cyber ​​University (KR)
Industry, innovation and infrastructure
Earthquake Detection and Analysis
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