The derivative of a vector quantity
with respect to some independent variable x
(of which it is a function) is defined in exactly the same way
as the derivative of a scalar function:
This is easily seen using a sketch in two dimensions:
In the case on the left, the vector
is in the same direction as
but has a different length.
[The two vectors are drawn side by side for visual clarity;
try to imagine that they are on top of one another.]
The difference vector
is parallel to both
and
.10.2
If we divide
by the change
in the independent variable
(of which
is a function)
and let
then we find that the derivative
is also
.
In the case on the right, the vector
has the same length (A) as
but is not in the same direction.
The difference
formed by the ``tip-to-tip'' rule of vector subtraction
is also no longer in the same direction as
.
In fact, it is useful to note that for these conditions
(constant magnitude A), as the difference
becomes infinitesimally small it also becomes
perpendicular to both
and
.10.3
Thus the rate of change
of a vector
whose magnitude A is constant
will always be perpendicular to the vector itself:
if A is constant.