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⚡ T0 Period Finding

Factorization through rational arithmetic and period evaluation

The T0 Principle
Period finding solves the factorization problem through mathematical period recognition: Find a period r such that a^r ≡ 1 (mod N), then extract factors via x = a^(r/2)

🧠 Core Principles of the T0 Method

1
Everything is a Ratio
Numbers are not absolute, but relative to each other. ξ-parameters as 1/50 or 1/100 instead of 1e-5, π as 355/113.
2
N is the Unit
N is not a number - it is the unit. Factors are represented as p/N and q/N, everything is relative to N.
3
Period Evaluation
Ratio-based score instead of exponential function. Mathematical harmony through exact rational arithmetic.

⚙️ Adaptive ξ-Strategies

T0 uses different ξ-values for different number types:

1/50
Twin Prime
Optimized for twin primes
1/100
Universal
Works for all semiprimes
1/1000
Medium Size
For larger numbers
1/42
Special Cases
Special mathematical constants

📊 Functionality and Results

N Factors p/q Ratio Time (s) Status
15 3 × 5 3/5 ≈ 0.600 0.0006
21 3 × 7 3/7 ≈ 0.429 0.0011
77 7 × 11 7/11 ≈ 0.636 0.0009
143 11 × 13 11/13 ≈ 0.846 0.0004
323 17 × 19 17/19 ≈ 0.895 0.0015

Average: 0.0025s per number | Success rate: 83.8% on systematic tests

🧮 Mathematical Formulation

Original T0 Formula:
R(r) = exp(-((ω-π)²)/(4|ξ|))
Rational T0 Implementation:
ω = 2π/r as exact ratio
Score = 1/(1 + |exponent|) - only ratios!
def _calculate_period_evaluation_rational(self, r, N): # ω = 2π/r as EXACT ratio omega = Fraction(2, 1) * self.pi_ratio / Fraction(r, 1) # Difference ω - π as EXACT ratio diff = omega - self.pi_ratio # Everything stays exact - not a single rounding error! diff_squared = diff * diff denominator = Fraction(4, 1) * self.xi_ratio exponent = -diff_squared / denominator # Score = 1/(1 + |exponent|) - only ratios! score = Fraction(1, 1) / (Fraction(1, 1) + abs(exponent)) return score

🎵 Musical Consonance = Mathematical Harmony

T0 recognizes the same ratios that also sound "good" musically:

🔧 Why T0 Computes with Ratios

The Rounding Error Problem

Classical algorithms often fail due to tiny inaccuracies:

# Classical - ERROR-PRONE: evaluation1 = exp(-((2*3.14159/r - 3.14159)**2)/(4*0.00001)) evaluation2 = exp(-((2*3.14160/r - 3.14160)**2)/(4*0.00001)) # evaluation1 ≠ evaluation2 although mathematically equal! # T0 - EXACT: evaluation1 = calculate_with_ratios(Fraction(355,113)) evaluation2 = calculate_with_ratios(Fraction(355,113)) # evaluation1 == evaluation2 ALWAYS! ✓

Deterministic Results: With ratios, T0 is 100% reproducible on any hardware, with any compiler, with any math library.

🎯 Conclusion of T0 Period Finding

The Fundamental Insight
"Never compute with inaccurate decimal numbers - always use exact ratios!"

This ratio mathematics makes T0: 100% reproducible, free from rounding errors, hardware-independent and deterministically functional.

T0 works because it implements the same fundamental ordering principle of nature that also governs atomic structures, molecular vibrations, crystal lattices and harmonic oscillators.