# What causes the convergence of Iterated continued fractions from convergents?

Here is a small discovery I stumbled across a few weeks ago. I hope at least one person will find it interesting enough to help me. The iterated continued fractions from convergents (or convergents constants) are explained at https://oeis.org/wiki/Convergents_constant . Among other things, there you find out that a randomly selected number between 2 and 3 has a convergents constant of 2.3484074702792306..., but the same is not true for 2.1, 2.2, 2.5 and perhaps for a few other values. Also for most 0 < x < 1 the same process of iterated continued fractions returns 0.5557531042780459..., but it is not so for x =0.1, 0.11, 0.12, 0.2, 0.25, 0.34, 0.35, 0.43, 0.45, 049, 0.5, 0.65, 0.75, some values < 66/1477 and perhaps for a few other values.

I would like to know why these numbers and those like them are exceptions to the rule.

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Removed the functional analysis tag. – Eric Naslund May 15 '11 at 2:29
See the answers for math.stackexchange.com/questions/39981/…. – Yuval Filmus Jun 2 '11 at 0:10

Possibly a bit more light occurs, if we consider to express that iteration using the matrix-representation of the continued-fractions-evaluation.
Here we insert the coefficients of the cf in a sequence of matrices, whose form is
$\qquad M_0(a)= \begin{bmatrix} 0 & 1\\1 & a \end{bmatrix}$
and for the product of matrices according to the coefficients in the cf allow the generalized notation
$\qquad M_0(a,b,c,...,h)= M(a)*M(b)*...*M(h)$

The iteration refers to the partial products, used for a new continued fraction:
$\qquad M_1(a) = M_0(a); M_1(b) = M_0(a)*M_0(b) = \begin{bmatrix} 1 & b\\a & a*b+1 \end{bmatrix} ; \ldots$

This is simple to program, for instance in Pari/GP. Unfortunately this does not hold exactly: the $M_1()$ created by this procedure are not compatible with the form $\qquad \begin{bmatrix} 0 & 1\\1 & a \end{bmatrix}$
, they have general (integer) values in all four entries; so do not reflect the required "simple-continued-fraction" representation. So for to model the process as you described it in your question we need some normalization.

What I tried next was to insert the evaluated partial continued fractions as rational (or real) numbers instead of integer numbers in the positions of the a in $M_1(a)$ - so $M_1(a) = M_0(a); M_1(b) = M_0( {ab+1 \over b}), \ldots$ according to the evaluation of the partial convergents. But still this requires then another type of re-normalization (it does not lead to the same limit value), because the fractional parts of the coefficients must now be "shifted" to the remaining cont-frac-expression.

But perhaps we find here the effect, why the leading coefficients of the iterated continued fractions converge to some constant: because after evaluations of subsequent coefficients a certain threshold for the fractional part of a coefficient can no more be overcome (in the next iteration).But I do not see really clear here...

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