Bharat: Development or Destruction?

Bharat: Development or Destruction? Bharat: Development or Destruction? A Mathematical Comparative Study of Agriculture, Water, Air, Health, Economy, and Human Development (1950-2025) Abstract India's post-independence history contains a central paradox: the country achieved dramatic improvements in food security, income, education, infrastructure, and life expectancy, while also experiencing groundwater depletion, air pollution, soil stress, ecological loss, inequality, and social fragmentation. This paper develops a mathematically explicit framework for evaluating whether India's transformation from 1950 to 2025 is better described as development, destruction, or an unstable mixture of both. We propose a Mathematical Comparative Index (MCI) that combines agriculture, environment, economy, health, education, and social indicators using signed normalization, robust baseline comparison, entropy-adjusted weights, nonlinear ecol...

Cousin Primes & Digital Roots in Python

Cousin Primes & Digital Roots in Python

πŸ” Cousin Primes & Their Digital Roots

🎯 What Are Cousin Primes?

Cousin primes are pairs of prime numbers that differ by exactly 4. Examples include (3, 7), (7, 11), and (13, 17). These pairs offer insights into prime gaps and distribution patterns.

πŸ’‘ What Is a Digital Root?

The digital root of a number is the single-digit value obtained by repeatedly summing its digits until only one digit remains. For example:

  • Digit root of 137 → 1 + 3 + 7 = 11 → 1 + 1 = 2
  • Digit root of 89 → 8 + 9 = 17 → 1 + 7 = 8

πŸ’» 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(n):
    while n >= 10:
        n = sum(int(d) for d in str(n))
    return n

def find_cousin_primes_with_roots(limit):
    cousin_pairs = []
    for p in range(2, limit - 4):
        if is_prime(p) and is_prime(p + 4):
            dr1 = digit_root(p)
            dr2 = digit_root(p + 4)
            cousin_pairs.append(((p, p + 4), (dr1, dr2)))
    return cousin_pairs

def main():
    try:
        user_limit = int(input("Enter the upper limit to find cousin primes: "))
        pairs_with_roots = find_cousin_primes_with_roots(user_limit)
        print(f"\nCousin Prime Pairs with Digital Roots up to {user_limit}:")
        for (p1, p2), (dr1, dr2) in pairs_with_roots:
            print(f"({p1}, {p2}) → ({dr1}, {dr2})")
    except ValueError:
        print("Please enter a valid integer.")

# Run the program
main()

Copy and Try it here!

πŸ“Š Sample Output

Input: 50

Output:

(3, 7) → (3, 7)
(7, 11) → (7, 2)
(13, 17) → (4, 8)
(19, 23) → (1, 5)
(37, 41) → (1, 5)
(43, 47) → (7, 2)

πŸ” Why It’s Fascinating

Digital roots offer a compact way to analyze numerical behavior. When applied to cousin primes, they reveal patterns, symmetries, and attractors that might otherwise go unnoticed. This blend of number theory and digit analysis is perfect for curious minds.

🌟 Final Thoughts

Try different limits and observe how digital roots behave across cousin primes. Are certain root pairs more frequent? Do they repeat cyclically? This script is a great way to explore prime behavior and deepen your mathematical intuition.

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