We can prove that the Euclidean Algorithm works by using a standard argument in number theory: showing that a problem is equivalent to the same problem for smaller numbers.
Start with two numbers $a > b \geq 0$. You want to know two things:
- Their greatest common divisor $g$,
- and how to represent $g$ as a combination of $a$ and $b$
When, $b = 0$, $\gcd(a,b) = \gcd(a,0) = a$.
Suppose $ b > 0 $. Then,
\begin{equation} \label{WEAW1} a = qb + r \end{equation}
where $q$ is the quotient and $r = a~\textrm{mod}~b$ is the remainder.
From Bezout’s Identity, we know that $g$ can be expressed as a linear combination of $a$ and $b$. Namely, for $x,y \in \mathbb{Z}$ we have,
\begin{equation} \label{WEAW2} a \cdot x + b \cdot y = g \end{equation}
We’ll prove that $\gcd(a,b) = \gcd(b,r)$. There are two cases:
- $g \mid a$ and $g \mid b$. So, from \eqref{WEAW1}, $g \mid r$. Therefore, $g \mid \gcd(b,r) $. ( See Lemma 1 )
- Let $c = \gcd(b,r)$. From \eqref{WEAW1}, $c \mid b$ and $c \mid r$. So, from \eqref{WEAW1}, $c \mid a$.
Therefore, $c \mid \gcd(a,b)$.
From Lemma 2, we have $g = c$ or $\gcd(a,b) = \gcd(b,r)$.
Alternate proof by contradiction: Let’s assume $g > c$. We know $g \mid b,r$. So we have a number $g$ which is greater than $c$ and divides both $b$ and $r$. This implies $c \not= \gcd(b,r)$. But we know, $c = \gcd(b,r)$. So, $g \not> c$. Similar reasoning can be shown in case of $g < c$. Therefore we conclude, $g = c$.
Moreover, if you can write $g$ as a combination of $b$ and $r$, then you can write it as a combination of $a$ and $b$ (substitute in \eqref{WEAW1}). That means if you can solve \eqref{WEAW2} for the pair $(b,r)$ then you can solve it for the pair $(a,b)$.
Taken together, this argument shows that you can replace your problem for $(a,b)$ by the same problem for the smaller pair $(b,r)$. Since the problem can’t keep getting smaller forever, eventually you will reach $(z,0)$ and you’re done. $ \blacksquare $
Time Complexity: $\mathcal{O}(\lg a) = \mathcal{O}(\lg a + \lg b) = \mathcal{O}(5\log_{10}b)$
Where, $a \geq b$ and the complexity is given in the number of division steps.
( Source: The Art of Computer Programming : Volume 2 )
Lemma 1
$c \mid a, b \Longleftrightarrow c \mid d $ for $d = \ddfrac{ab}{\lcm{(a,b)}}$. Hence $ d = \gcd(a,b) $.
Proof: $c \mid a, b \Longleftrightarrow a,b \mid \ddfrac{ab}{c} \Longleftrightarrow \lcm{(a,b)} \mid \ddfrac{ab}{c} \Longleftrightarrow c \mid \ddfrac{ab}{\lcm{(a,b)}}$
Lemma 2
If $a \mid b$ and $b \mid a$, then $a = \pm b$.
Proof: As, $a \mid b$, we have, \begin{equation} \label{EAL1EQ1} p \cdot a = b \end{equation} for some $p \in \mathbb{Z}$. Similarly, \begin{equation} \label{EAL1EQ2} q \cdot b = a \end{equation} for some $q \in \mathbb{Z}$. Replacing $a$ from \eqref{EAL1EQ2} in \eqref{EAL1EQ1}, we have, \begin{equation} \label{EAL1EQ3} p \cdot (q \cdot b) = b \end{equation} As $ b \not= 0$, we divide both sides of \eqref{EAL1EQ3} to get, \begin{equation} p \cdot q = 1 \end{equation}
As, $p$ and $q$ are both integers, we have only two solutions. Either $(p,q) = (1,1)$ or $(p,q) = (-1,-1)$. For $(p,q) = 1$ we have, $a = b$ and for $(p,q) = (-1,-1)$ we have, $a = -b$. So, $ a = \pm b$. $\blacksquare$
Sidenote: Although we have $a > b \geq 0$ in our reasoning, if any or both them are negative numbers, it won’t effect our $\gcd$ calculation. Because we have,
\[ \gcd(a,b) = \gcd(\abs{a},b) = \gcd(a,\abs{b}) = \gcd(\abs{a},\abs{b}) \]
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