
It follows immediately from the definition of the derivative that multiplying a function by a constant multiplies its derivative by the same constant, so for example since we know that the
derivative of is
, we can immediately tell that the derivative of
is
, and the derivative of
is
.
Also, if we add two functions, their derivatives add. To give a good example of this, we need to have another function that we can differentiate, one that isn't just some multiple of . An easy one is
: the derivative of
is 1,
since the graph of
is a line with a slope of 1, and the tangent
line lies right on top of the original line.
Example
The derivative of is the derivative of
plus the derivative of
, since derivatives add. The derivative of
is 5 times the derivative of
, and the derivative of
is 2 times the derivative of
, so putting everything together, we find that the derivative of
is
. The derivative of a constant is zero, since a constant function's graph is a horizontal line, with a slope of zero. We now
know enough to differentiate any second order polynomial.
Example
An insect pest from the United States is inadvertently released in a village in rural China. The pests spread outward at a rate of kilometers per year, forming a widening circle of contagion. Find the number of square kilometers per year that become newly
infested. Check that the units of the result make sense. Interpret the result.
Let be the time, in years, since the pest was introduced. The
radius of the circle is
, and its area is
. To make this look like a polynomial, we have to rewrite
it as
. The derivative is
The units of are km/year, so squaring it gives
. The 2 and the
are unitless, and multiplying by
gives units of
, which is what we expect for
, since it represents the number of square kilometers per year that become infested.
Interpreting the result, we notice a couple of things. First, the rate of infestation isn’t constant; it’s proportional to , so people might not pay so
much attention at first, but later on the effort required to combat the problem will grow more and more quickly. Second, we notice that the result is proportional to
. This suggests that anything that could be done to reduce
would be very helpful. For
instance, a measure that cut
in half would reduce
by a factor of four.
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