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Resonance Logic (RL) – Core Formalization

UOR Foundation / PrimeOS working group

§ 1 Motivation & Big‑Picture Framing — Conservation as Truth

Resonance Logic (RL) internalises the CCM maxim "truth ≙ conservation." A statement is as true as the resonance it conserves. Consequently, Boolean values ${0,1}$ are replaced by the 96‑element resonance spectrum

$$\mathcal C_{96};=;\langle C,,\oplus,,\otimes,,0,,1\rangle.$$

Two meta‑goals

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Keystone Facts

Keystone	Why it matters	Impact
Unity constraint α₄×α₅=1	Creates Klein V₄ orbit, 96-value resonance spectrum, 3/8 compression	Foundation of all CCM structure
24→48→96 cascade	Defines generator→mediator→manifestation roles; proves μ²=γε	Universal structural pattern
Coherence axioms A1-A3	Ground RSF waves in grade-orthogonal norm & symmetry preservation	Mathematical completeness
SP primes p≡±1(mod 12)	Characterize safe moduli for cascades & DLog algorithms	Modular arithmetic foundation
Numbers↔Waves (RSF)	Resonance R(b)=∏αᵢ^{bᵢ}; primes appear as unit-norm pure tones	Computational paradigm shift

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Resonance Synthesis Framework: A Wave-Based Approach to Mathematical Computation

Abstract

We present the Resonance Synthesis Framework (RSF), a novel mathematical architecture that reconceptualizes arithmetic and algebraic operations as wave synthesis and interference phenomena. By treating mathematical objects as waveforms in a high-dimensional space and operations as signal processing, RSF discovers rather than imposes arithmetic structures. The framework naturally exhibits quantum mechanical properties through its analog synthesis approach, enabling superposition, interference, and entanglement-like behaviors. We demonstrate how this wave-based approach achieves logarithmic-time factorization and reveals deep connections between number theory, harmonic analysis, and quantum computation.

1. Introduction

Traditional approaches to computational mathematics treat numbers as discrete entities and operations as mechanical procedures. The Resonance Synthesis Framework (RSF) fundamentally reimagines th

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Modular Structural Arithmetic (MSA)

1. Language and Signature

1.1 Extended Signature

MSA extends the language L_SA of Structural Arithmetic with:

New Functions:

• mod_p(x): reduction of x modulo p
• ρ_p(x): modular role function under modulus p

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Structural Arithmetic

1. Domain and Language

1.1 Signature

The language L_SA of Structural Arithmetic consists of:

Constants:

• 0, 1 (standard arithmetic)
• γ (the generator constant = 24)

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The Formalization of the Prime Structure

I. CCM Formalization of Prime Dynamics

1.1 Phase Space Definition

The Prime Structure exists in phase space Π with coordinates:

• Position: x ∈ ℤ₊ (positive integers)
• Momentum: p = d(π(x))/dx (rate of prime density change)

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PrimeOS Addressing Specification v1.0

Overview

The PrimeOS Addressing system assigns every possible bit pattern a unique coordinate in mathematical space. Objects of different bit-lengths exist in different coordinate spaces within a 12,288-element mathematical universe.

Core Principles

1. Every bit pattern is a unique object with a deterministic coordinate
2. Objects of different bit-lengths inhabit different coordinate spaces

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The PrimeOS-Amplituhedron Connection: Unveiling the 12288-Element Structure of Reality

Table of Contents

1. Introduction
2. The Amplituhedron: A Revolutionary Framework
3. PrimeOS: The 12288-Element Structure
4. The Deep Connection
5. Structural Analysis Through Amplituhedron Principles
6. Key Discoveries
7. Implications and Applications

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Multi-Representation Architecture for Resonance Storage

Overview

Just as traditional storage systems offer block, object, and file representations of data, resonance-based storage provides multiple complementary views of the same underlying information. Each representation optimizes for different access patterns while maintaining the core resonance addressing.

Core Representations

1. Resonance Object Storage (ROS)

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Resonance-Based Information Storage: A Universal Language Approach

Abstract

This document presents a novel approach to information storage and retrieval based on the Universal Language specification's concept of mathematical resonance. Unlike traditional content-addressing or location-based storage systems, resonance-based storage computes an intrinsic "frequency" for each piece of information based on its semantic field pattern. This approach unifies content and context, enables natural semantic clustering, and reveals deep connections to spectral graph theory and fundamental physics. We detail the theoretical foundations, practical implementation, and transformative implications of this paradigm.

Table of Contents

1. Introduction
2. Theoretical Foundations