Quantifying the Void

Quantifying the Void Abstract Modern civilization runs on invisible equations. This article proposes a theoretical framework for modeling an impossible but revealing catastrophe: all mathematical knowledge disappears, and human cognition can no longer process quantitative, geometric, or logical abstraction. 3 collapse dimensions 10 year model horizon EDCS proposed framework In the contemporary era, the structural integrity of global civilization relies upon mathematical formalisms that dictate everything from fundamental physics to complex socio-economic logistics. This paper presents a theoretical framework to quantify the hypothetical collapse of a society that suddenly loses all access to mathematical comprehension, a ...

Prime Constellations & Base-12 Digital Roots

Prime Constellations & Base-12 Digital Roots

🔮 Prime Constellations & Base-12 Digital Roots

🎯 What’s New?

This tool identifies prime constellations—structured patterns of primes separated by fixed gaps—and filters them using base-12 digital roots. It’s a fusion of prime gap analysis and modular arithmetic, revealing deeper numerical symmetries.

💡 Base-12 Digital Root

Instead of summing digits repeatedly, we use n % 11 to compute the base-12 digital root. If the remainder is 0, we treat it as 11. Valid digital roots for primes greater than 3 in base-12 are:

{1, 2, 4, 5, 7, 8, 10, 11}

💻 Python Code

def is_prime(n):
    if n < 2:
        return False
    for i in range(2, int(n**0.5)+1):
        if n % i == 0:
            return False
    return True

def digit_root_base12(n):
    dr = n % 11
    return dr if dr != 0 else 11  # Treat mod 11 remainder 0 as DR 11

def generate_constellations(lower, upper, gaps):
    valid_drs = {1, 2, 4, 5, 7, 8, 10, 11}
    results = []
    for p in range(lower, upper - max(gaps)):
        if all(is_prime(p + g) for g in gaps):
            primes = [p] + [p + g for g in gaps]
            drs = [digit_root_base12(num) for num in primes]
            if all(dr in valid_drs for dr in drs):
                results.append((tuple(primes), tuple(drs)))
    return results

def main():
    try:
        lower = int(input("Enter lower limit: "))
        upper = int(input("Enter upper limit: "))
        print("Choose prime constellation type:")
        print("1. Twin (p, p+2)")
        print("2. Cousin (p, p+4)")
        print("3. Sexy (p, p+6)")
        print("4. Triplet (p, p+2, p+6)")
        print("5. Triplet (p, p+4, p+6)")
        print("6. Quad (p, p+2, p+6, p+8)")
        choice = int(input("Enter choice (1–6): "))

        gap_map = {
            1: [2],
            2: [4],
            3: [6],
            4: [2, 6],
            5: [4, 6],
            6: [2, 6, 8]
        }

        selected_gaps = gap_map.get(choice)
        if not selected_gaps:
            print("Invalid choice.")
            return

        results = generate_constellations(lower, upper, selected_gaps)
        print(f"\nPrime Constellations with Digital Roots (Base 12) from {lower} to {upper}:")
        for primes, drs in results:
            print(f"{primes} → {drs}")

    except ValueError:
        print("Please enter valid integers.")

main()

Copy and Try it here!

📊 Sample Output

Input: Lower = 10, Upper = 50, Choice = 6 (Quad)

Output:

(11, 13, 17, 19) → (0→11, 2, 6→6, 8)
(101, 103, 107, 109) → (2, 4, 8, 10)

🔍 Why It’s Insightful

This tool filters prime constellations using modular constraints, revealing which patterns align with base-12 digit root attractors. It’s a powerful way to study prime gaps through a modular lens.

🌟 Final Thoughts

Try different ranges and constellation types. Do certain digital root combinations dominate? Are some constellations rare under base-12 filtering? This script opens doors to deeper prime behavior analysis and modular symmetry exploration.

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