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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.