Number of steps of euclidean algorithm

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Discussion Overview

The discussion revolves around the properties of the Euclidean algorithm, specifically focusing on the number of steps required for its termination. Participants explore the relationship between successive remainders and their reduction, aiming to demonstrate that the remainder decreases by at least half after every two steps. The conversation also touches on the implications of this behavior for estimating the maximum number of steps needed for the algorithm to complete, particularly in relation to the number of digits in the initial input.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant proposes that after every two steps of the Euclidean algorithm, the remainder satisfies the condition $$r_{i+2}< \frac{1}{2} r_i$$ for all non-negative integers $i$.
  • Another participant suggests taking logarithms to base 2 to analyze the inequality $2^m r_{2m} \log_2b$, then $r_{2m}<1$, indicating the algorithm has terminated.
  • It is noted that $r_i>r_{i+1}$ for all $i$, which supports the claim that $r_i>2r_{i+2}$, providing an alternative approach to demonstrate the reduction of remainders.
  • Participants discuss the relationship between the number of steps and the number of digits in $b$, with one stating that the number of steps is at least seven times the number of digits in $b$, based on the logarithmic relationship.

Areas of Agreement / Disagreement

There is no explicit consensus on the exact number of steps required for termination, as participants explore different aspects of the problem and present various interpretations of the logarithmic relationships involved.

Contextual Notes

Participants express uncertainty regarding the relationship between $m$ and $b$, indicating that further clarification is needed to fully understand the implications of their findings. The discussion also highlights the dependence on the properties of logarithms and the definitions used in the analysis.

evinda
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Hello! (Wave)

I am looking at the following exercise: Let $b=r_0, r_1, r_2, \dots$ be the successive remainders in the Euclidean algorithm applied to $a$ and $b$. Show that after every two steps, the remainder is reduced by at least one half. In other words, verify that $$r_{i+2}< \frac{1}{2} r_i \ ,\text{ for every } i=0,1,2, \dots$$Conclude that the Euclidean algorithm terminates in at most $2 \log_2{(b)}$ steps, where $\log_{2}$ is the logarithm to the base $2$. In particular, show that the number of steps is at most seven times the number of digits in $b$. [ Hint: What is the value of $\log_2{10}$ ?]

I have tried the following:

The general formula for $r_{i-1}$ in the Euclidean algorithm is the following:

$$r_{i-1}=q_{i+1} r_i+r_{i+1}$$So we have: $r_i=q_{i+2} r_{i+1}+r_{i+2} \\=q_{i+2}(q_{i+3} r_{i+2}+r_{i+3})+r_{i+2} \\=q_{i+2} q_{i+3} r_{i+2} +q_{i+2} r_{i+3}+r_{i+2}\\ \geq r_{i+2}+q_{i+2} r_{i+3}+r_{i+2} \\=2r_{i+2}+q_{i+2} r_{i+3}> 2r_{i+2}$

So it follows that $r_{i+2}<\frac{1}{2} r_i$.

As for the number of steps, I have thought the following:We have that $b=r_0>2r_2> 4r_4>8r_6> \dots> 2^m r_{2m}$

The Euclidean algorithm terminates when we find a remainder that is equal to zero.

So we check when $r_{2m}<1$.

$r_{2m}<1 \Rightarrow 2^m r_{2m}<2^m$.

We also have that $2^m r_{2m}<b$.

But from these two inequalities, we cannot find a relation between $m$ and $b$, can we?
 
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evinda said:
We also have that $2^m r_{2m}<b$.
Take logs to base 2 in that inequality: $m + \log_2 r_{2m} < \log_2b$.

If $m > \log_2b$ then $\log_2 r_{2m} < \log_2b - m < 0$. So $r_{2m}<1$, which means that $r_{2m} =0$, and the algorithm has terminated.

Since $m > \log_2b\ \Longrightarrow\ 2m > 2\log_2b$, this shows that as soon as the algorithm reaches the $2m$th step, with $2m > 2\log_2b$, the algorithm will terminate.
 
The fact that $r_i>2r_{i+2}$ can be shown slightly more easily. We have $r_i>r_{i+1}$ for all $i$ because $r_{i+1}$ is the remainder when something (namely, $r_{i-1}$) is divided by $r_i$. So we have
\[
r_i=q_{i+2}r_{i+1}+r_{i+2}\ge r_{i+1}+r_{i+2}>2r_{i+2}.
\]
 
Evgeny.Makarov said:
The fact that $r_i>2r_{i+2}$ can be shown slightly more easily. We have $r_i>r_{i+1}$ for all $i$ because $r_{i+1}$ is the remainder when something (namely, $r_{i-1}$) is divided by $r_i$. So we have
\[
r_i=q_{i+2}r_{i+1}+r_{i+2}\ge r_{i+1}+r_{i+2}>2r_{i+2}.
\]

Yes, I see... (Smile)
 
Opalg said:
Take logs to base 2 in that inequality: $m + \log_2 r_{2m} < \log_2b$.

If $m > \log_2b$ then $\log_2 r_{2m} < \log_2b - m < 0$. So $r_{2m}<1$, which means that $r_{2m} =0$, and the algorithm has terminated.

Since $m > \log_2b\ \Longrightarrow\ 2m > 2\log_2b$, this shows that as soon as the algorithm reaches the $2m$th step, with $2m > 2\log_2b$, the algorithm will terminate.

I understand... So the algorithm terminates in at least $2\log_2b$ steps, or not? (Thinking)

In order to show that the number of steps is at least seven times the number of digits in $b$, we use the fact that$$2\log_2b=2\log_2{10} \cdot \log_{10}{b} \approx 6.6 \log_{10}{b}$$

Right?
 

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