A Functional Continued Fraction ( FCF ) is #exp_(cf)(a;a;a)=a^(a+a/a^(a+a/a^(a+...))), a > 1#. Choosing #a=pi#, how do you prove that the 17-sd value of the FCF is 39.90130307286401?

Answer 1

See details in explanation for the derivation. Some Socratic graphs are now included for graphical verification.

Let #y = exp_(cf)(pi;pi;pi)=pi^(pi+pi/(pi^(pi+pi/(pi^(pi+...)))#. Then, The

implicit form for this FCF value y is

#y=pi^( pi + pi /y ) = pi^( pi( 1 + 1/y ) )#.

A discrete anolog for approximating y is the nonlinear difference

equation

#y_n = pi^( pi ( 1 + 1/y_(n-1))#
Adopting this for iteration, with starter value #y_0=pi^pi#, and

making 15 iterations in long precision arithmetic,.

#y=y_15=39.901130307206401#, nearly,

with the forward difference

#Deltay_14=y_15-y_14=0#, for this 17-sd precision.
Here, 0 means smallness of order #10^(-18)#.

Scaled local graphs, for cross check:

Use #y = exp_(cf)(x;x;x)=x^(x(1+1/y))# for the graph
x-range encloses #pi# for each of the two graphs.

y-ranges are appropriate, for precision levels.

The first is for higher precision.

Read y against x = #pi# graph{y-x^(x(1+1/y))=0 [3.141592 3.141593 39.9011 39.90115]}

graph{y-x^(x(1+1/y))=0 [1.6 4 0 60]}

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Answer 2

To prove that the 17-sd value of the Functional Continued Fraction (FCF) with ( a = \pi ) is ( 39.90130307286401 ), you can use numerical methods or software packages specifically designed for calculating continued fractions to iteratively compute the value of the expression. This approach will provide the desired result with high precision.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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