The Fundamental Theorem of Calculus says, roughly, that the following processes undo each other:
The first process is differentiation, and the second process is (definite) integration. To say that the two undo each other means that if you start with a function, do one, then do the other, you get the function you started with.
In equation form, you can say
This equation is the key to evaluating definite integrals. It says
that if I can find an antiderivative
for
,
then I can compute the definite integral
by plugging the limits a and b into
.
It is remarkable that finding slopes of tangents and finding rectangle sums should be related in this way. I'll use the symbolic mathematics program Mathematica to demonstrate that it really works.
Here is a Mathematica function which takes a function
and an increment
and returns the function
:
In ordinary math notation, this is
. There's no limit here; I'm working with a specific
number
and finding the slope of the secant line. It will be
close to the slope of the tangent if
is small.
For example, suppose I take
:
I'll let dqf denote the difference quotient function with an
increment of
:
In ordinary math notation, this is
Here is dqf evaluated at
:
Since
, this is not a bad
approximation.
On the other hand, here is a function which approximates the area under a curve:
This function returns a function whose value is a rectangle sum approximation to
(Each rectangle has width
.)
For example, using
,
produces a function which gives a rectangle sum approximation to
.
In this case, the rectangles have width 0.01.
Now I can use sumf to approximate the area under the curve from
0 to
:
This is pretty close to the "actual" answer, as found by a numerical integration routine:
Here comes the punch line. I'll feed
into
the difference qoutient function, and then feed the output
into the rectangle sum function:
Finally, I'll graph the function steptwo. For comparison, I've
plotted the graph of
on the right:
You can see that the two graphs are essentially the same, except for
the "steps" on the graph. These result from the fact that I
didn't take limits in defining my tangent line approximation or my
rectangle sum approximation. But you could make the "steps"
smaller by making
smaller in the DifferenceQuotient and
RiemannSum functions.
The results which I've demonstrated empirically are summarized in the The Fundamental Theorem of Calculus.
Theorem. ( The Fundamental
Theorem of Calculus) Suppose f is integrable on
, and that
for some differentiable
function F defined on
. Then
The Fundamental Theorem of Calculus says that I can compute the definite integral of a function f by finding an antiderivative F of f.
Example.
Example.
But note that
And
Definite integrals may be positive, negative, or 0.
Example.
Example.
Example. ( Substitution in definite integrals) If you do an integral using a substitution, you can either use the substitution to change the limits of integration, or put the original variable back at the end.
Alternatively,
Example. ( Substitution in definite integrals)
Example. If the velocity of a particle at
time t is
, the change in position from
to
is
For example, suppose a particle's velocity is
I'll find the change in position from
to
. It is
There is another version of the Fundamental Theorem which says in a direct way that "integration and differentation are opposites".
Theorem. ( Fundamental
Theorem, Second Version) Suppose f is continuous on an interval
. Then
This says that if you start with a function ("
"), integrate ("
"), then
differentiate ("
"), you get what you started
with ("
"). This is another way of saying that
differentiation and integration are opposite processes.
Example. ( The second version of the Fundamental Theorem)
Here's how the second version of the Fundamental Theorem looks in a particular case:
Note that the 3 is irrelevant; the answer would be the same if 3 was replaced by (say) 42.
Suppose instead that the problem was to compute
I can't apply the theorem as is, because the thing I'm
differentiating with respect to ("x") doesn't match the
upper limit of the integral ("
"). Hence, I must
apply the Chain Rule first:
Notice that in applying the Chain Rule, I got the thing I was
differentiating with respect to ("
") to match the
upper limit of the integral ("
").
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