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which expresses how fast the function y is changing relative to the variable x for any value of x.
But what happens if the function is defined in terms of a vector equation such as
f t
=
x t i
+
y t j
+
z t k ?
(8.1)
For example, Eq. (8.1) could describe a curve in R 3
such as a helix, and d f
dt would define the
tangential slope of the curve at a point determined by t.
To define the first differential of a vector-based equation, consider the curve shown in
Fig. 8.1, where two position vectors f t and f t
+
t identify two points P t and Qt
+
t,
respectively.
Y
P ( t )
δ t )
Q ( t +
f ( t )
δ
f ( t +
t )
Z
X
f = f ( t )
Figure 8.1.
From Fig. 8.1 we can state
+ PQ
f t
=
f t
+
t
Therefore,
PQ
=
f t
+
t
f t
If t is small relative to the magnitude of PQ, PQ can be replaced by f :
f
=
f t
+
t
f t
(8.2)
1
t , we obtain
Multiplying Eq. (8.2) by
f
t =
f t
+
t
f t
(8.3)
t
Expanding Eq. (8.3) into its components gives
f
t =
x t
+
t
x t
y t
+
t
y t
z t
+
t
z t
i
+
j
+
k
t
t
t
 
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