What does it mean for a function to be N-times differentiable?

Click For Summary
N-times differentiability of a function f: R^n → R^m refers to the existence and continuity of all partial derivatives up to order N. It is not sufficient for only the partial derivatives to exist; the derivative matrix must also satisfy specific conditions related to differentiability. The derivative of such functions is represented as an n by m matrix, and as more derivatives are taken, the resulting dimensions increase, complicating the structure. The discussion emphasizes the distinction between the derivative at a point and the derivative function itself. Understanding these concepts is crucial for accurately interpreting N-times differentiable functions.
jostpuur
Messages
2,112
Reaction score
19
Sometimes I've encountered functions f:\mathbb{R}^n\to\mathbb{R}^m being called N-times differentiable. What does it mean, precisely?

I know that for a function to be differentiable, if is not enough that the partial derivatives \partial_i f_j exist, but instead the derivative matrix Df must exist and satisfy the equation

<br /> f(x+u)=f(x) + (Df)u + |u|\epsilon(u)<br />

which is more than only existence of the partial derivatives.

Does the N-times differentiability mean something else than only all partial derivatives \partial_1^{k_1} \partial_2^{k_2} \cdots \partial_n^{k_n} f_j, where k_1+k_2+\cdots+k_n=N, existing?
 
Physics news on Phys.org
To check differentiability it would be easier to use a thm rather than definition saying
if all the partial derivatives exists and continuous in a nhd of x then e say f is differentiable at x.
(note:I am not sure that this is the exact statement.Check from a textbook)
 
You can take it to mean that the N-th partials all exist and are continuous.
 
or if you know that the derivative of amap R^n-->R^n is a matrix bva;ued function, you can take it to mean that matrix valued function is differentiable, etc...
 
You should be careful to distinguish between the "derivative at a given point" and the "derivative function".

The derivative of a function from \mathbb{R}^n to \mathbb{R}^m is an n by m matrix, and so an object in \mathbb{R}^{n+m} - for every point in \mathbb{R}^n. The derivative function, then, is a function from \mathbb{R}^n to \mathbb{R}^{n+m} and so its derivative, the second derivative of the original function is an n by n+m matrix, an object in \mathbb{R}^{2n+m}. As you take more and more, because of all those new mixed derivatives, it gets more and more complicated!

(Strictly speaking, a derivative is a linear transformation- we should say it can be represented by a matrix.)
 
But shouldn't the image of the derivative function be in \mathbb{R}^{nm}, and not in \mathbb{R}^{n+m}?

The idea that we can start taking more derivatives and the dimensions just increase when this is done sounds good. I think I even had such thoughts at some point, but I wasn't sure if that is what is usually meant by this terminology of function being multiple times differentiable.
 
Yes, of course. Don't know what I was thinking! (Too early probably.)
 

Similar threads

  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 11 ·
Replies
11
Views
3K