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.