Euclidean Algorithm

A fundamental method for finding the greatest common divisor (GCD) of two numbers through repeated division and remainder calculation.

Euclidean Algorithm

The Euclidean Algorithm stands as one of the oldest and most efficient methods in mathematics, dating back to Euclid's "Elements" (around 300 BCE). This elegant procedure determines the greatest common divisor of two numbers through an iterative process of division and remainder calculation.

Core Principle

The algorithm is based on a fundamental property: the GCD of two numbers also divides their difference. More formally, for any two positive integers a and b:

  • GCD(a,b) = GCD(b,r) where r is the remainder when a is divided by b.

Algorithm Steps

  1. Start with two numbers a and b
  2. Divide a by b to get quotient q and remainder r
  3. If r = 0, then b is the GCD
  4. Otherwise, set a = b and b = r, then repeat from step 2

Mathematical Expression

GCD(a,b) = GCD(b,a mod b)

Applications

The Euclidean Algorithm has numerous applications in:

Extended Version

The extended Euclidean algorithm builds upon the basic version to find integers x and y such that:

ax + by = GCD(a,b)

This extension is particularly valuable in modular multiplicative inverse calculations and solving linear Diophantine equations.

Historical Significance

The algorithm represents one of the first formal algorithmic thinking processes in mathematical history. Its efficiency and elegance have made it a cornerstone of both theoretical mathematics and practical computing applications.

Computational Complexity

The algorithm's efficiency is logarithmic in terms of the input size:

  • Time complexity: O(log min(a,b))
  • Space complexity: O(1)

This remarkable efficiency explains its continued relevance in modern computational mathematics.

Implementation Example

A simple recursive implementation in pseudocode:

function gcd(a, b):
    if b = 0:
        return a
    return gcd(b, a mod b)

The Euclidean Algorithm's influence extends beyond pure mathematics, serving as a bridge between abstract algebra and practical computation, while exemplifying the beauty of mathematical proof through its elegant simplicity.