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08/18/2013, 11:14 PM
(This post was last modified: 08/19/2013, 05:26 PM by JmsNxn.)
What If I told you I can find infinite functions that equal their own derivative?
Take some fractional differentiation method
)
which differentiates f across s, t times. Now assume that:
 < e^{-t^2})
for some s in some set

, which can be easily constructed using some theorems I have.
Then:
If you differentiate

by the continuity of this improper integral
What does this mean? How did I get this? Where is the mistake?
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08/19/2013, 05:39 PM
(This post was last modified: 08/19/2013, 05:40 PM by JmsNxn.)
Let's make another function that equals its own derivative. I'm very curious as to why this is happening!
Differentiate and watch for your self!
Does this mean the function cannot converge? I know the integral converges, not sure about the summation though.
Using the other method I can easily create a function that converges for some domain... What's going on?
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08/19/2013, 09:41 PM
(This post was last modified: 08/19/2013, 11:51 PM by mike3.)
(08/19/2013, 05:39 PM)JmsNxn Wrote: Let's make another function that equals its own derivative. I'm very curious as to why this is happening!
 = \sum_{n=-\infty}^{\infty} \int_{-\infty}^{\infty} e^{-(y+n)^2} \frac{s^y}{\Gamma(y+1)}dy)
Differentiate and watch for your self!
Does this mean the function cannot converge? I know the integral converges, not sure about the summation though.
Using the other method I can easily create a function that converges for some domain... What's going on?
The summation does not look like it converges. Try graphing the integrand for s = 1 and look what happens as n increases.
Also, using a numerical integration from

to

(roughly centers around the "peak", at least for relatively small n), one can approximate the integral and see the divergence:
n = 1, s = 1: 0.38446
n = 2, s = 1: 0.042752
n = 3, s = 1: -0.082158
n = 4, s = 1: 0.26084
n = 5, s = 1: -0.83652
n = 6, s = 1: 2.2210
n = 7, s = 1: 2.4999
n = 8, s = 1: -149.51
So the sum of these values approaches no limit. While the values do shrink for negative

, the sum also includes the problematic positive values.
Note that this numerical test is not a proof of divergence, but it strongly indicates that is what is happening.
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Aww thank you mike. I've been coming across a lot of these functions and I've yet to see one that converges so I think I'm not doing anything too wrong.
Btw, you should look at my continuum sum thread, I know you were looking into the method earlier, I found a way using fractional calculus, but I'm a little mirky on some of the formal fine tunings, help would be greatly appreciated