Is there a "binomial" theorem for super exp or tetration?

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The discussion explores the possibility of expressing tetration, specifically (x+x')^^n, in a summation format similar to the binomial theorem. It highlights that for non-negative integers x and y, the expression can be expanded using the binomial theorem twice, but complications arise with non-integer values leading to infinite expansions. The conversation emphasizes the need to restrict x and y to natural numbers to avoid trivial cases. It concludes that while a direct binomial-like expression for tetration may not exist, one can iteratively apply the binomial theorem through recursive definitions of tetration. Overall, the relationship between tetration and the binomial theorem is complex and requires careful consideration of the variables involved.
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In the binomial theorem (x+x')^n = a summation of terms.

Is there any way I could express (x+x')^^n in a summation?
 
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Well let's consider the simplest non-trivial example which would be

^2(x+y)=(x+y)^{x+y}=(x+y)^x(x+y)^y

Now we can see that if x and y are non-negative integers then we can expand that last expression with the application of the binomial theorem twice. If they're not however, then we'd get an infinite expansion and thus attempting to compute one more level in the tetration:

^3(x+y)

Wouldn't be possible because the binomial theorem only works for finite n.

Ok, so we're forced to have x,y be non-negative integers, but also if either of them were 0 then the problem becomes trivial, so we'll restrict ourselves to the natural numbers.

I don't expect there is a way to express it in the form that you're hoping for, but because tetration is simply repeated exponentiation, which means that recursively,

^n(x+y)=(x+y)^{^{n-1}(x+y)}

and so you can iteratively use the binomial theorem as you work your way down the power tower.

f_n=\sum_{i=0}^{f_{n-1}}\binom{f_{n-1}}{i}x^iy^{f_{n-1}-i}
where
f_k=^k(x+y)
 
Good morning I have been refreshing my memory about Leibniz differentiation of integrals and found some useful videos from digital-university.org on YouTube. Although the audio quality is poor and the speaker proceeds a bit slowly, the explanations and processes are clear. However, it seems that one video in the Leibniz rule series is missing. While the videos are still present on YouTube, the referring website no longer exists but is preserved on the internet archive...

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