The Functional Continued Fraction (F C F) of exponential class is defined by a_(cf) (x;b) = a^(x+b/(a^(x+b/a^(x +...)))), a > 0. Upon setting a = e = 2.718281828.., how do you prove that e_(cf) ( 0.1; 1 ) = 1.880789470, nearly?

2 Answers
Aug 4, 2016

See explanation...

Explanation:

Let t = a_(cf)(x;b)

Then:

t = a_(cf)(x;b) = a^(x+b/a^(x+b/a^(x+b/a^(x+...)))) = a^(x+b/(a_(cf)(x;b))) = a^(x+b/t)

In other words, t is a fixed point of the mapping:

F_(a,b,x)(t) = a^(x+b/t)

Note that by itself, t being a fixed point of F(t) is not sufficient to prove that t = a_(cf)(x;b). There might be unstable and stable fixed points.

For example, 2016^(1/2016) is a fixed point of x -> x^x, but is not a solution of x^(x^(x^(x^...))) = 2016 (There is no solution).

However, let us consider a = e, x = 0.1, b = 1.0 and t = 1.880789470

Then:

F_(a,b,x)(t) = e^(0.1+1/1.880789470)

~~e^(0.1+0.5316916199)

=e^0.6316916199

~~ 1.880789471 ~~ t

So this value of t is very close to a fixed point of F_(a,b,x)

To prove that it is stable, consider the derivative near t.

d/(ds) F_(e,1,0.1) (s) = d/(ds) e^(0.1+1/s) = -1/s^2 e^(0.1+1/s)

So we find:

F'_(e,1,0.1) (t) = -1/t^2 e^(0.1+1/t) = -1/t^2*t = -1/t ~~ -0.5316916199

Since this is negative and of absolute value less than 1, the fixed point at t is stable.

Also note that for any non-zero Real value of s we have:

F'_(e,1,0.1) (s) = -1/s^2 e^(0.1+1/s) < 0

That is F_(e,1,0.1)(s) is strictly monotonically decreasing.

Hence t is the unique stable fixed point.

Aug 5, 2016

Contractive behaviour.

Explanation:

With a = e and x = x_0 the iteration follows as

y_{k+1} = e^{x_0+b/y_k} and also
y_k = e^{x_0+b/y_{k-1}}

Let us investigate the conditions for a contraction in the iteration operator.

Substracting both sides

y_{k+1}-y_k = e^{x_0}(e^{b/y_k}-e^{b/y_{k-1}})

but in first approximation

e^{b/y_k} = e^{b/y_{k-1}} + d/(dy_{k-1})(e^(b/y_{k-1}))(y_k-y_{k-1}) + O((y_{k-1})^2)

or

e^{b/y_k} - e^{b/y_{k-1}} approx -b(e^{b/y_{k-1}})/(y_{k-1})^2(y_k-y_{k-1})

To have a contraction we need

abs(y_{k+1}-y_k) < abs(y_k-y_{k-1})

This is attained if

abs(e^{x_0}b(e^{b/y_{k-1}})/(y_{k-1})^2)< 1. Supposing b > 0 and k = 1 we have.

x_0 + b/y_0 < 2 log_e(y_0/b)

So given x_0 and b this relationship allow us to find the initial iteration under contractive behaviour.