Derivative at a point

In mathematics, the derivative of a function is a measure of how rapidly the function changes locally when its argument changes.

The derivative of the function f at a is the limit

$f'(a)=\lim _{h\to 0}{f(a+h)-f(a) \over h}$

of the difference quotient as h approaches zero, if this limit exists. If the limit exists, then f is differentiable at a.

Multivariable calculus

The extension of the concept of derivative to multivariable functions, or vector-valued functions of vector variables, may be achieved by considering the derivative as a linear approximation to a differentiable function. In the one variable case we can regard $x\mapsto f(a)+f'(a)(x-a)$ as a linear function of one variable which is a close approximation to the function $x\mapsto f(x)$ at the point $x=a$.

Let $F:\mathbf {R} ^{n}\rightarrow \mathbf {R} ^{m}$ be a function of n variables. We say that F is differentiable at a point $a\in \mathbf {R} ^{n}$ if there is a linear function $\mathrm {D} F:\mathbf {R} ^{n}\rightarrow \mathbf {R} ^{m}$ such that

${\frac {\Vert F(a+h)-F(a)-\mathrm {D} F(h)\Vert }{\Vert h\Vert }}\rightarrow 0{\hbox{ as }}\Vert h\Vert \rightarrow 0\,$

where $\Vert \cdot \Vert$ denotes the Euclidean distance in $\mathbf {R} ^{n}$.

The derivative $\mathrm {D} F$, if it exists, is a linear map and hence may be represented by a matrix. The entries in the matrix are the partial derivatives of the component functions of F_j with respect to the coordinates x_i. If F is differentiable at a point then the partial derivatives all exist at that point, but the converse does not hold in general.

Formal derivative

The derivative of the monomial Xⁿ may be formally defined as $D:X^{n}\mapsto n.X^{n-1}$ and this extends to a linear map D on the polynomial ring $R[X]$ over any ring R. Similarly we may define D on the ring of formal power series $R[[X]]$.

The map D is a derivation, that is, an R-linear map such that

$D:fg\mapsto f.Dg+Df.g\,.$