# Definition:Differentiable Mapping/Vector-Valued Function/Point

## Definition

Let $\mathbb X$ be an open subset of $\R^n$.

Let $f = \left({f_1, f_2, \ldots, f_m}\right)^\intercal: \mathbb X \to \R^m$ be a vector valued function.

#### Definition 1

$f$ is **differentiable** at $x \in \R^n$ if and only if there exists a linear transformation $T:\R^n \to \R^m$ and a mapping $r : U \to \R^m$ such that:

- $(1):\quad$ $\displaystyle f \left({x + h}\right) = f \left({x}\right) + T(h) + r\left({h}\right)\cdot \Vert h\Vert$
- $(2):\quad$ $\displaystyle\lim_{h\to 0} r(h) = 0$.

#### Definition 2

$f$ is **differentiable** at $x \in \R^n$ if and only if for each real-valued function $f_j: j = 1, 2, \ldots, m$:

- $f_j: \mathbb X \to \R$ is differentiable at $x$.

## Also see

## Sources

- 2005: Roland E. Larson, Robert P. Hostetler and Bruce H. Edwards:
*Calculus*(8th ed.): $\S 2.1$, $13.4$