# Strong derivative

(Redirected from Fréchet derivative)
 Strong derivative $\lim_{h\rightarrow 0}\left(\frac{\big\Vert f(x_0+h)-f(x_0)-df\vert_{x_0}\big\Vert_Y}{\Vert h\Vert_X}\right)$For two normed spaces [ilmath](X,\Vert\cdot\Vert_X)[/ilmath] and [ilmath](Y,\Vert\cdot\Vert_Y)[/ilmath]and a mapping [ilmath]f:U\rightarrow Y[/ilmath] for [ilmath]U[/ilmath] open in [ilmath]X[/ilmath][ilmath]df\vert_{x_0}:X\rightarrow Y[/ilmath] a linear map called the"derivative of [ilmath]f[/ilmath] at [ilmath]x_0[/ilmath]"

## Definition

The strong derivative (AKA the Fréchet derivative) has several definitions, however they are all equivalent, as will be shown. In all cases we are given:

• Two normed vector spaces, [ilmath](X,\Vert\cdot\Vert_X)[/ilmath] and [ilmath](Y,\Vert\cdot\Vert_Y)[/ilmath]
• A mapping, [ilmath]f:U\rightarrow Y[/ilmath] where [ilmath]U[/ilmath] is an open set of [ilmath]X[/ilmath]
• Some point [ilmath]x_0\in U[/ilmath] (the point we are differentiating at)

### Definition 1

If there exists a linear map [ilmath]L_{x_0}:X\rightarrow Y[/ilmath] such that:

• $f(x+h)-f(x)=L_{x_0}(h)+r(x_0;h)$ where $\lim_{h\rightarrow 0}\left(\frac{\Vert r(x_0;h)\Vert_Y}{\Vert h\Vert_X}\right)=0$

### Definition 2

If there exists a linear map [ilmath]L_{x_0}:X\rightarrow Y[/ilmath] such that:

• $\lim_{h\rightarrow 0}\left(\frac{f(x_0+h)-f(x_0)-L_{x_0}(h)}{\Vert h\Vert_X}\right)=0_Y$

TODO: Check this, I've just been sick, so I'm going to save my work and lie down

## Todo

TODO: Find reference for and add "total derivative" to list of AKA names, see also derivative (analysis) and do the same thing there