Derivate of $f(x)=x$ with $x \in R^n$
how $f(x+y)=x+y=f(x)+f(y)$ and let $a \in R$ then $f(ax)=ax=af(x)$ then $f$ is a linear transformation and then $f'(x)=f(x)$ because the derivate of a linear transformation is the same funtion is this right?
Derivate of $f(x)=x$ with $x \in R^n$
how $f(x+y)=x+y=f(x)+f(y)$ and let $a \in R$ then $f(ax)=ax=af(x)$ then $f$ is a linear transformation and then $f'(x)=f(x)$ because the derivate of a linear transformation is the same funtion is this right?
The word derivative covers a dozen of meanings, depending on how you look at it. E.g. if we consider the Weierstraß formula for a derivative $$f(x+v)=f(x)+D_x(f)\cdot v+ r(v)$$ and assume that $f$ is linear, then we get with $r\equiv 0$ that $$f(v)=D_x\cdot v.$$ In this sense, i.e. as a function of the direction in which we differentiate, the derivative at a certain point $x$ is the original linear function $f.$ In case $f(x)=x$ this reads $$f'_{x_0}\cdot(v)=\left. \dfrac{d}{dx}\right|_{x=x_0}f(x)\cdot v = 1\cdot v=v=f(v).$$ This is meant if people say that the derivative of a linear function is the function again. It is due to the multiple uses of a derivative: the slope of the graph of $f$, linear approximation of $f$, function of the direction of differentiation (derivatives are always directional), and function of the location at which we differentiate, and it goes on if you include concepts like fiber bundles, differential forms etc.