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Does iterating the complex function $zmapstofrac{2sqrt z}{1+z}$ always converge?

Mathematics Asked by mr_e_man on November 2, 2021

Given $z_0inmathbb Csetminus{-1}$, define the sequence

$$z_{n+1}=frac{2sqrt{z_n}}{1+z_n}$$

where the square root is the one with positive real part (or, if that’s not possible, non-negative imaginary part).

This is always defined; if ever $z_{n+1}=-1$, then

$$-(1+sqrt{z_n}^2)=2sqrt{z_n}$$

$$0=(1+sqrt{z_n})^2$$

which implies $sqrt{z_n}=-1$, a contradiction. So $z_nneq-1$ for any $n$.

If it converges at all, then it converges to $0$ or $1$:

$$z=frac{2sqrt z}{1+z}$$

$$sqrt z^2(1+sqrt z^2)=2sqrt z$$

$$sqrt zbig(sqrt z+sqrt z^3-2big)=0.$$

The cubic factor has roots $sqrt z=1$ and $sqrt z=-tfrac12pmtfrac i2sqrt7$, but the latter have negative real part so must be discarded.

If $z_n$ is near $0$, then $1+z_napprox1$, and $|z_{n+1}|approx2sqrt{|z_n|}>2|z_n|$; the sequence gets pushed away from $0$. But of course if $z_n=0$ exactly, then $z_{n+1}=0$ and it converges trivially.

If $z_n=1+varepsilon$ is near $1$, then $1+z_napprox2$, and $z_{n+1}approxsqrt{z_n}approx1+tfrac12varepsilon$ is even closer to $1$.

So, given $z_0inmathbb Csetminus{-1,0}$, if the sequence converges it must converge to $1$. Consider the distance from $1$:

$$1-z_{n+1}=frac{1+z_n-2sqrt{z_n}}{1+z_n}=frac{(1-sqrt{z_n})^2}{1+z_n}=frac{(1-z_n)^2}{(1+z_n)(1+sqrt{z_n})^2}.$$

Since a square root has non-negative real part, $|1+sqrt{z_n}|>1$, and thus

$$|1-z_{n+1}|<frac{|1-z_n|^2}{|1+z_n|}.$$

Now consider the distance from $-1$:

$$1+z_{n+1}=frac{1+z_n+2sqrt{z_n}}{1+z_n}=frac{(1+sqrt{z_n})^2}{1+z_n}$$

$$|1+z_{n+1}|>frac{1}{|1+z_n|}.$$

We also have

$$1-z_{n+1}!^2=(1-z_{n+1})(1+z_{n+1})=frac{(1-z_n)^2}{(1+z_n)^2}$$

and

$$frac{1-z_{n+1}}{1+z_{n+1}}=frac{(1-sqrt{z_n})^2}{(1+sqrt{z_n})^2}.$$

I don’t know where this is going. Can we show that $lim_{ntoinfty}|1-z_n|=0$?


Here’s another approach:

$$z_{n+1}=frac{2sqrt{z_n}}{1+z_n}=frac{2sqrt{z_n}(1+z_n^*)}{|1+z_n|^2}$$

$$=frac{2}{|1+z_n|^2}big(sqrt{z_n}+|z_n|sqrt{z_n}^*big).$$

Both $sqrt{z_n}$ and its conjugate $sqrt{z_n}^*$ have non-negative real part. This expression shows that $z_{n+1}$ is a conical combination of them, so its angle is between their angles, which are half of the original angle of $z_n$. Thus, with $z_n=r_ne^{itheta_n}$,

$$|theta_{n+1}|leqfrac{|theta_n|}{2}$$

$$|theta_n|leqfrac{|theta_0|}{2^n}leqfrac{pi}{2^n}$$

$$lim_{ntoinfty}theta_n=0.$$


I found something interesting, but maybe not useful. If $|z_{n+1}|=1$ then

$$|1+z_n|^2=4|z_n|;$$

this equation represents a limacon, with shape parameters $a=4,,b=sqrt8$.

If $|z_{n+1}|<1$ then $z_n$ is outside of the curve, or in the tiny loop containing $0$. If $|z_{n+1}|>1$ then $z_n$ is in the larger inside part of the curve (which includes the unit circle $|z_n|=1$).


Going in the other direction, if $|z_n|=1,,z_n=e^{itheta_n}$, then

$$z_{n+1}=frac{2}{|1+e^{itheta_n}|^2}big(e^{itheta_n/2}+1e^{-itheta_n/2}big)$$

$$=frac{2}{1+2costheta_n+1}big(2cos(theta_n/2)big)$$

$$=frac{cos(theta_n/2)}{cos^2(theta_n/2)}=sec(theta_n/2)>1.$$

And if $z_n=r_n>0$, then

$$z_{n+1}=frac{2sqrt{r_n}}{1+r_n}<1$$

because

$$2sqrt{r_n}<1+sqrt{r_n}^2$$

$$0<big(1-sqrt{r_n}big)^2.$$


My angle argument shows that $z_n$ is in the right half of the plane for $ngeq1$, so

$$|1+z_n|>1$$

and thus

$$|1-z_{n+1}|<frac{|1-z_n|^2}{|1+z_n|}<|1-z_n|^2$$

$$<|1-z_{n-1}|^4<cdots<|1-z_1|^{2^n}$$

which clearly converges to $0$, provided that $|1-z_1|<1$. So we only need to show that the sequence eventually comes within the unit circle around $1$.

3 Answers

This function at $z$ is the same as at $1/z$, excluding the case $mathbb Rni z<0$, which is the only case where $sqrt{1/z}neq1/sqrt z$.

$$frac{2sqrt{1/z}}{1+1/z}=frac{2cdot1/sqrt z}{1/z+1}cdotfrac zz=frac{2sqrt z}{1+z}.$$

Since $|theta_2|leqpi/4$, if also $|z_2|leq1$, then the circular sector represented by these inequalities is contained in the unit disk centred at $1$, so the sequence converges. (See the last part of the Question.) On the other hand, if $|z_2|>1$, then we can replace $z_2$ with $1/z_2$ without affecting the later terms, so again the sequence converges.


That answers the Question as asked.

Now I'll also answer a related question: Is there a well-defined arithmetic-geometric mean of two complex numbers?

Given $a_0,b_0inmathbb C$, define the sequences

$$a_{n+1}=text{AM}(a_n,b_n)=frac{a_n+b_n}{2},quad b_{n+1}=text{GM}(a_n,b_n)=begin{cases}0,&a_n=0\a_nsqrt{frac{b_n}{a_n}},&a_nneq0end{cases}$$

(again using the principal square root). This particular form of GM, rather than $sqrt{ab}$, ensures that the result is "between" $a$ and $b$; if $a$ and $b$ are linearly independent over $mathbb R$, then GM$(a,b)$ is a conical combination of them. (That's a linear combination with non-negative coefficients.) It behaves nicely with rotations: $text{GM}(ka,kb)=k,text{GM}(a,b)$ for any $kinmathbb C$.

In any of the cases where $a_0b_0(a_0!^2-b_0!^2)=0$, it's easy to show that both sequences converge, to $0$ or to $a_0=b_0$. So let's assume that $a_0b_0(a_0!^2-b_0!^2)neq0$.

Define $z_n=b_n/a_n$; then the formula for $z_{n+1}$ is exactly that in the OP, and we've already shown that $lim_{ntoinfty}z_n=1$.

From the triangle inequality,

$$|a_{n+1}|leqfrac{|a_n|+|b_n|}{2}leqfrac{max(|a_n|,|b_n|)+max(|a_n|,|b_n|)}{2}=max(|a_n|,|b_n|),$$

and similarly $|b_{n+1}|=sqrt{|a_n||b_n|}leqmax(|a_n|,|b_n|)$, so

$$max(|a_{n+1}|,|b_{n+1}|)leqmax(|a_n|,|b_n|)leqmax(|a_{n-1}|,|b_{n-1}|)leqcdotsleqmax(|a_0|,|b_0|).$$

Thus, we see that both sequences are bounded, so

$$|a_n-b_n|=|a_n||1-z_n|leqmax(|a_0|,|b_0|),|1-z_n|to0;$$

if either one converges, they must both converge to the same value.

Indeed one of them does converge: $|a_{n+1}-a_n|=tfrac12|a_n-b_n|to0$, and for $k>1$,

$$|a_{n+k}-a_n|=left|sum_{j=0}^{k-1}(a_{n+j+1}-a_{n+j})right|$$

$$leqsum_{j=0}^{k-1}|a_{n+j+1}-a_{n+j}|$$

$$=frac12sum_{j=0}^{k-1}|a_{n+j}-b_{n+j}|$$

$$leqfrac12max(|a_0|,|b_0|)sum_{j=0}^{k-1}|1-z_{n+j}|$$

$$leqfrac12max(|a_0|,|b_0|)sum_{j=0}^infty|1-z_{n+j}|.$$

From the last part of the Question and the first part of this Answer, for $ngeq3$ we have $|1-z_n|<1$ and $|1-z_{n+j}|leq|1-z_n|^{2^j}$, so

$$sum_{j=0}^infty|1-z_{n+j}|leqsum_{j=0}^infty|1-z_n|^{2^j}$$

$$leqsum_{l=1}^infty|1-z_n|^l$$

$$=frac{|1-z_n|}{1-|1-z_n|}to0.$$

Therefore, by Cauchy's criterion, $a_n$ converges. We may call the common limit

$$lim_{ntoinfty}a_n=lim_{ntoinfty}b_n=text{AGM}(a_0,b_0).$$

Answered by mr_e_man on November 2, 2021

The answer to your question is yes. The iterations of $f$ always converge. Furthermore the convergence is uniform towards 1 on any compact subset excluding a neighborhood of the origin and $-1$, i.e. on a subset of the following form: ($0<r<<R<+infty$) $$K=K_{r,R}={zin {Bbb C} : |z|geq r, |z-1|geq r, |z|leq R}.$$

Complex dynamics is a useful tool in this context. If you let $H={z: {rm Re } z >0}$, then $K'=f(K)$ is a compact subset of $H$ and $f(K')subset K'$. The right half-plane $H$ is what is known as a hyperbolic domain. If you look at the wiki page for Schwartz_lemma, about halfway down the page, you will find that a half-plane admits a Poincare metric $d_H$ which is contracted by any holomorphic map of $H$ into itself. The metric (cf. wiki-page for Poincaré-metric) on the right half-plane takes the explicit form: $$ d(z,w) = 2tanh^{-1} frac{|z-w|}{|z+w|}.$$

If $f$ is not an automorphism of $H$ (not our case) then $f$ is a strict contraction on compact subsets, in particular the set $K'$ above. More precisely, there is $theta=theta({r,R})<1$ so that for $z_1,z_2in K'$ one has $$ frac{|f(z_1)-f(z_2)|}{|f(z_1)+f(z_2)|} leq theta frac{|z_1-z_2|}{|z_1+z_2|}.$$ Taking $z_2=1=f(z_2)$ and iterating the inequality, you see that the distance between $f^n(z_1)$ and $1$ goes exponentially fast to zero (in fact super-exponentially fast, since $f'(1)=0$). The claim follows by letting $rrightarrow 0$ and $Rrightarrow +infty$.

Answered by H. H. Rugh on November 2, 2021

This is a very deep and interesting problem which was sort of completely solved by Gauss. The following is heavily borrowed from the paper The Arithmetic-geometric Mean of Gauss by David A. Cox which appeared in L'Enseignement Mathématique, Vol 30, 1984, pages 275-330.

Gauss considers the more general problem of agm of two complex numbers. Let us then assume that $a, binmathbb {C} $ such that $abneq 0$ and $aneq pm b$ and let us define the AGM recurrence $$a_0=a,b_0=b,a_{n+1}=frac{a_n+b_n}{2},b_{n+1}=(a_nb_n)^{1/2}tag{1}$$ We have to fix the ambiguity involved in choosing square root now. Let us then say that a square root $b_1$ is the right choice for square root of $ab$ if $$|a_1-b_1|leq|a_1+b_1|$$ and in case of equality $b_1/a_1$ must have positive imaginary part.

A pair of sequences ${a_n}, {b_n} $ defined by recurrences in $(1)$ is called good if $b_{n+1}$ is the right choice for $(a_nb_n) ^{1/2}$ for all but finitely many $ngeq 0$.

Cox mentions the following result in his paper

Theorem 1: If $a, b$ are complex numbers with $abneq 0,aneqpm b$ and ${a_n}, {b_n} $ are sequences defined by $(1)$ then they both converge to the same value. This common limit of both sequences is non-zero if and only if the pair of sequences is good.

This solves your problem that $z_n=b_n/a_nto 1$ if the right branch of square root is chosen every time except for finitely many values of $n$.


But there is a lot more to come. Since we can make right or wrong choices of square root at each iteration, the limit of these sequences will depend on these choices. A complex number $mu$ is called a value of AGM of $a, b$ and written $mu=M(a, b) $ if there exist a good pair of sequences ${a_n}, {b_n} $ defined by $(1)$ and having a common limit $mu$.

Thus based on allowed finite number of wrong choices of square roots there are a countable number of values of $M(a, b) $. Out of these there is a special one called the simplest value which is based on making right choice for square root in every iteration.

Gauss did some investigation to characterize all the values of $M(a, b) $ and Cox gives the corresponding result as

Theorem 2: Let $a, b$ be complex numbers with $abneq 0,aneqpm b$ and $|a|geq |b|$. And further let $mu, lambda$ denote the simplest values of $M(a, b), M(a+b, a-b) $ respectively. Then all values $mu'$ of $M(a, b) $ are given by $$frac{1}{mu'}=frac {d} {mu} +frac{ic} {lambda} $$ where $c, d$ are any arbitrary integers comprime to each other and $cequiv 0pmod {4},dequiv 1pmod {4}$.

The proof involves all the ideas related to modular functions, modular group, fundamental region etc and it is an interesting read. Cox also says that Gauss knew a lot of this material and gives many historical details in his paper.

Answered by Paramanand Singh on November 2, 2021

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