The derivative of r \boldsymbol{r} r is defined the same way as for a real-valued function:
r ′ ( t ) = d r ( t ) d t = lim h → 0 r ( t + h ) − r ( t ) h \boldsymbol{r}'(t) = \frac{\text{d}\boldsymbol{r}(t)}{\text{d}t} = \lim_{h \to 0} \frac{\boldsymbol{r}(t+h) - \boldsymbol{r}(t)}{h} r ′ ( t ) = d t d r ( t ) = h → 0 lim h r ( t + h ) − r ( t )
provided the limit exists.
For r ( t ) = ⟨ x ( t ) , y ( t ) , z ( t ) ⟩ \boldsymbol{r}(t) = \langle x(t), y(t), z(t) \rangle r ( t ) = ⟨ x ( t ) , y ( t ) , z ( t )⟩ , r \boldsymbol{r} r is differentiable at a a a iff each component function is differentiable at a a a , and
r ′ ( a ) = ⟨ x ′ ( a ) , y ′ ( a ) , z ′ ( a ) ⟩ \boldsymbol{r}'(a) = \langle x'(a), y'(a), z'(a) \rangle r ′ ( a ) = ⟨ x ′ ( a ) , y ′ ( a ) , z ′ ( a )⟩
More generally, whenever the component derivatives exist,
r ′ ( t ) = ⟨ x ′ ( t ) , y ′ ( t ) , z ′ ( t ) ⟩ \boldsymbol{r}'(t) = \langle x'(t), y'(t), z'(t) \rangle r ′ ( t ) = ⟨ x ′ ( t ) , y ′ ( t ) , z ′ ( t )⟩
For differentiable vector-valued functions r ( t ) \boldsymbol{r}(t) r ( t ) , r 1 ( t ) \boldsymbol{r}_1(t) r 1 ( t ) , r 2 ( t ) \boldsymbol{r}_2(t) r 2 ( t ) , differentiable real-valued function f ( t ) f(t) f ( t ) , scalar k k k , and constant vector c ⃗ \vec{c} c :
d d t [ c ⃗ ] = 0 ⃗ \dfrac{\text{d}}{\text{d}t}[\vec{c}] = \vec{0} d t d [ c ] = 0
d d t [ r 1 ( t ) ± r 2 ( t ) ] = r 1 ′ ( t ) ± r 2 ′ ( t ) \dfrac{\text{d}}{\text{d}t}[\boldsymbol{r}_1(t) \pm \boldsymbol{r}_2(t)] = \boldsymbol{r}_1'(t) \pm \boldsymbol{r}_2'(t) d t d [ r 1 ( t ) ± r 2 ( t )] = r 1 ′ ( t ) ± r 2 ′ ( t )
d d t [ k r ( t ) ] = k r ′ ( t ) \dfrac{\text{d}}{\text{d}t}[k\boldsymbol{r}(t)] = k\boldsymbol{r}'(t) d t d [ k r ( t )] = k r ′ ( t )
d d t [ f ( t ) r ( t ) ] = f ( t ) r ′ ( t ) + f ′ ( t ) r ( t ) \dfrac{\text{d}}{\text{d}t}[f(t)\boldsymbol{r}(t)] = f(t)\boldsymbol{r}'(t) + f'(t)\boldsymbol{r}(t) d t d [ f ( t ) r ( t )] = f ( t ) r ′ ( t ) + f ′ ( t ) r ( t )
d d t [ r 1 ( t ) ⋅ r 2 ( t ) ] = r 1 ( t ) ⋅ [ r 2 ′ ( t ) + r 1 ′ ( t ) ⋅ r 2 ( t ) \dfrac{\text{d}}{\text{d}t}[\boldsymbol{r}_1(t) \cdot \boldsymbol{r}_2(t)] = \boldsymbol{r}_1(t) \cdot [\boldsymbol{r}_2'(t) + \boldsymbol{r}_1'(t) \cdot \boldsymbol{r}_2(t) d t d [ r 1 ( t ) ⋅ r 2 ( t )] = r 1 ( t ) ⋅ [ r 2 ′ ( t ) + r 1 ′ ( t ) ⋅ r 2 ( t )
d d t [ r 1 ( t ) × r 2 ( t ) ] = r 1 ( t ) × [ r 2 ′ ( t ) + r 1 ′ ( t ) × r 2 ( t ) \dfrac{\text{d}}{\text{d}t}[\boldsymbol{r}_1(t) \times \boldsymbol{r}_2(t)] = \boldsymbol{r}_1(t) \times [\boldsymbol{r}_2'(t) + \boldsymbol{r}_1'(t) \times \boldsymbol{r}_2(t) d t d [ r 1 ( t ) × r 2 ( t )] = r 1 ( t ) × [ r 2 ′ ( t ) + r 1 ′ ( t ) × r 2 ( t )
d d t [ r ( f ( t ) ) ] = f ′ ( t ) r ′ ( f ( t ) ) \dfrac{\text{d}}{\text{d}t}[\boldsymbol{r}(f(t))] = f'(t)\boldsymbol{r}'(f(t)) d t d [ r ( f ( t ))] = f ′ ( t ) r ′ ( f ( t ))
Tangent Line
Let P P P be a point on the graph of r ( t ) \boldsymbol{r}(t) r ( t ) , with r ( t 0 ) \boldsymbol{r}(t_0) r ( t 0 ) the position vector of P P P . If r ′ ( t 0 ) \boldsymbol{r}'(t_0) r ′ ( t 0 ) exists and is non-zero, r ′ ( t 0 ) \boldsymbol{r}'(t_0) r ′ ( t 0 ) is a tangent vector to the graph at P P P . The tangent line through P P P parallel to r ′ ( t 0 ) \boldsymbol{r}'(t_0) r ′ ( t 0 ) has vector equation
x ⃗ ( s ) = r ( t 0 ) + s r ′ ( t 0 ) , s ∈ R \vec{x}(s) = \boldsymbol{r}(t_0) + s\boldsymbol{r}'(t_0), \qquad s \in \mathbb{R} x ( s ) = r ( t 0 ) + s r ′ ( t 0 ) , s ∈ R
If ∥ r ( t ) ∥ \lVert \boldsymbol{r}(t) \rVert ∥ r ( t )∥ is constant for all t t t in an interval, then r ( t ) ⋅ r ′ ( t ) = 0 \boldsymbol{r}(t) \cdot \boldsymbol{r}'(t) = 0 r ( t ) ⋅ r ′ ( t ) = 0 . So r ( t ) \boldsymbol{r}(t) r ( t ) and r ′ ( t ) \boldsymbol{r}'(t) r ′ ( t ) are orthogonal for every t t t in the interval.
Proof Given ∥ r ( t ) ∥ \lVert \boldsymbol{r}(t) \rVert ∥ r ( t )∥ is constant, square both sides:
∥ r ( t ) ∥ 2 = r ( t ) ⋅ r ( t ) = constant \lVert \boldsymbol{r}(t) \rVert^2 = \boldsymbol{r}(t) \cdot \boldsymbol{r}(t) = \text{constant} ∥ r ( t ) ∥ 2 = r ( t ) ⋅ r ( t ) = constant Differentiate with respect to t t t :
d d t [ r ( t ) ⋅ r ( t ) ] = 0 \frac{\text{d}}{\text{d}t}[\boldsymbol{r}(t) \cdot \boldsymbol{r}(t)] = 0 d t d [ r ( t ) ⋅ r ( t )] = 0 By the product rule and commutativity of the dot product:
r ′ ( t ) ⋅ r ( t ) + r ( t ) ⋅ r ′ ( t ) = 2 r ( t ) ⋅ r ′ ( t ) = 0 \boldsymbol{r}'(t) \cdot \boldsymbol{r}(t) + \boldsymbol{r}(t) \cdot \boldsymbol{r}'(t) = 2\boldsymbol{r}(t) \cdot \boldsymbol{r}'(t) = 0 r ′ ( t ) ⋅ r ( t ) + r ( t ) ⋅ r ′ ( t ) = 2 r ( t ) ⋅ r ′ ( t ) = 0 So r ( t ) ⋅ r ′ ( t ) = 0 \boldsymbol{r}(t) \cdot \boldsymbol{r}'(t) = 0 r ( t ) ⋅ r ′ ( t ) = 0 . It is the dot product, not the magnitude, that equals 0 0 0 .
Mean Value Theorem
Vector-valued functions do not satisfy a direct Mean Value Theorem of the form r ( b ) − r ( a ) = r ′ ( c ) ( b − a ) \boldsymbol{r}(b) - \boldsymbol{r}(a) = \boldsymbol{r}'(c)(b-a) r ( b ) − r ( a ) = r ′ ( c ) ( b − a ) .