Kth derivative of the nth iterate

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In summary, Faá di Bruno's formula can approximate fractional iterates of a function if n is not an integer.
  • #1
phoenixthoth
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I'm trying to find a Taylor series for g^n, the nth iterate of g, centered at a fixed point p of g.

I know the first few terms:
if g^n(x)=a_0 + a_1 (x-p) + a_2 (x-p)^2 + ..., then
let s=g'(p)
a_0=p
a_1=s^n
a_2=[s^(n-1) (s^n - 1) g''(p)] / (2(s-1)).

It's safe to say that a_3 is as complex as a_2 is compared to a_1; it's not pretty.

I have a feeling that Faá di Bruno's formula (http://mathworld.wolfram.com/FaadiBrunosFormula.html) may be involved but I would prefer to avoid that.

One of my goals is to find a formula in which I can let n be something other than an integer to at least approximate some fractional iterates of a function.

Does anyone know a formula for the kth derivative of the nth iterate of g (assuming its sufficiently well behaved)? Thanks.
 
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  • #2
So far, I have this...

[tex]D\left( g^{m}\left( x\right) \right) =\prod_{j=1}^{m}g^{\prime }\left( g^{m-j}\left( x\right) \right) [/tex] and if p is a fixed point of g, then

[tex]\left. D\left( g^{m}\left( x\right) \right) \right| _{x=p}=g^{\prime }\left( p\right) ^{m}[/tex].

Then the first derivative of the nth iterate of g is this:
[tex]D\left( g^{n}\left( x\right) \right) =\prod_{j=1}^{n}g^{\prime }\left( g^{n-j}\left( x\right) \right) [/tex]. Now we have the product of n functions and we have to take k-1 more derivatives to get the kth derivative. I'm guessing that a formula for the kth derivative of the product of n functions is this:
[tex]D^{k}\left( \prod_{j=1}^{n}f_{j}\right) =\sum \frac{k!}{j_{1}!\cdot \cdots \cdot j_{n}!}f_{1}^{\left( j_{1}\right) }\cdot \cdots \cdot f_{n}^{\left( j_{n}\right) }[/tex], where the sum ranges over n-tuples [tex]\left( j_{1},\ldots ,j_{n}\right) [/tex] whose sum is k.

Is that the correct formula for the kth derivative of the product of n functions?

Well, I imagine that that or something like that is correct. Then we apply the formula so that [tex]f_{j}=g^{\prime }\circ g^{n-j}[/tex] but then we'd have to calculate the q-th derivative of the right hand side. ACK!
 
  • #3
I found a formula though it's not that pretty. See the attached pdf. Next I will try to work out the coefficients.
 

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FAQ: Kth derivative of the nth iterate

What is the meaning of "Kth derivative of the nth iterate"?

The Kth derivative of the nth iterate refers to the Kth derivative of a function that has been iterated n times. This means that the function is applied to itself n times, and then the Kth derivative is taken.

How is the Kth derivative of the nth iterate calculated?

To calculate the Kth derivative of the nth iterate, you first need to find the nth iterate of the function. This can be done by repeatedly applying the function to itself n times. Then, you can take the Kth derivative of the nth iterate using the standard rules of differentiation.

What is the significance of the Kth derivative of the nth iterate in mathematics?

The Kth derivative of the nth iterate is significant in mathematics because it can help to describe the behavior of a function after it has been iterated multiple times. It can also be used in the study of differential equations and other advanced mathematical concepts.

Can the Kth derivative of the nth iterate be negative or zero?

Yes, the Kth derivative of the nth iterate can be negative or zero. This depends on the function being iterated and the value of K. For example, if K is an odd number and the function is an even function, the Kth derivative of the nth iterate could be negative.

How is the Kth derivative of the nth iterate used in real-world applications?

The Kth derivative of the nth iterate has various applications in physics, engineering, and other fields. For example, it can be used in the study of oscillating systems, where the Kth derivative of the nth iterate can help determine the amplitude and frequency of the oscillations. It can also be used in optimization problems, where the Kth derivative can help find the maximum or minimum value of a function.

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