Here is Prob. 24, Chap. 5 in the book Principles of Mathematical Analysis by Walter Rudin, 3rd edition:
The process described in part (c) of Exercise 22 can of course also be applied to functions that map $(0, \infty)$ to $(0, \infty)$.
Fix some $\alpha > 1$, and put $$ f(x) = \frac{1}{2} \left( x + \frac{\alpha}{x} \right), \qquad g(x) = \frac{\alpha+x}{1+x}. $$ Both $f$ and $g$ have $\sqrt{\alpha}$ as their only fixed point in $(0, \infty)$. Try to explain, on the basis of properties of $f$ and $g$, why the convergence in Exercise 16, Chap. 3, is so much more rapid than it is in Exercise 17. (Compare $f^\prime$ and $g^\prime$, draw the zig-zags suggested in Exercise 22.)
Do the same when $0 < \alpha < 1$.
Here are the links to my posts here at Math SE on Prob. 22, Chap. 5, Prob. 16, Chap. 3, and Prob. 17, Chap. 3, in Baby Rudin, 3rd edition:
Prob. 22, Chap. 5 in Baby Rudin: Fixed Points of Real Functions
My Attempt:
We note that, for $0 < x < \infty$,
$$ g(x) = 1 + \frac{\alpha-1}{x+1},$$ and so $$f^\prime(x) = \frac{1}{2} \left( 1 - \frac{\alpha}{x^2} \right), \qquad g^\prime(x) = - \frac{\alpha-1}{(x+1)^2},$$ and for $\alpha > 1$, we see that, if $x > \sqrt{\alpha}$, then $x^2 > \alpha$, and so $$0 < f^\prime(x) < \frac{1}{2}. $$ which implies (by part (c) of Prob. 22, Chap. 5, in Baby Rudin, 3rd edition) that the sequence $x_0 > \sqrt{\alpha}$, $x_{n+1} = f \left( x_n \right)$, for $n = 0, 1, 2, 3, \ldots$, does converge to the only fixed point of $f$, which is $\sqrt{\alpha}$. In fact, for all $n$, we have $$ \left| x_{n+1} - x_n \right| \leq \frac{1}{2} \left| x_n - x_{n-1} \right| \leq \cdots \leq \frac{1}{2^n} \left| x_1 - x_0 \right|, $$ and so for any $m < n$, we have $$ \begin{align} \left| x_n - x_m \right| &\leq \left| x_n - x_{n-1} \right| + \cdots+ \left| x_{m+1} - x_m \right| \\ &\leq \left( \frac{1}{2^{n-1}} + \cdots + \frac{1}{2^m} \right) \left| x_1 - x_0 \right| \\ &= \frac{1}{2^m} \left( 1 + \cdots + \frac{1}{2^{n-m-1}} \right) \left| x_1 - x_0 \right| \\ &= \frac{1}{2^m} \frac{ 1 - \frac{1}{2^{n-m}} }{ 1 - \frac{1}{2} } \left| x_1 - x_0 \right| \\ &= \left( \frac{1}{2^{m-1}} - \frac{1}{2^{n-1}} \right) \left| x_1 - x_0 \right|, \end{align} $$ and upon letting $n \to \infty$, while keeping $m$ fixed, we obtain $$ \left| x_m - x \right| \leq \frac{1}{2^{m-1}} \left| x_1 - x_0 \right| = \frac{1}{2^{m-1}} \left| \frac{1}{2} \left(x_0 + \frac{\alpha}{x_0} \right) - x_0 \right| = \frac{1}{2^m } \left( x_0 - \frac{\alpha}{x_0} \right), $$ for $m = 1, 2, 3, \ldots$, which gives the rate of convergence of this recursive algorithm.And, the similar situation occurs for $0 < \alpha < 1$ as well, provided we choose $x_0 > \sqrt{\alpha}$.
Is my analysis correct? Or, have I erred anywhere or missed something of substance?
And, what about $g$? How to analyze it? How to show what Rudin has demanded to be shown?