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Mathematical Expression Editor
The accumulation of a rate is given by the change in the amount.
There is a another common form of the Fundamental Theorem of Calculus:
Second Fundamental Theorem of Calculus Let \(f\) be continuous on \([a,b]\). If \(F\) is any
antiderivative of \(f\), then
for this antiderivative. However, any antiderivative could have
be chosen, as antiderivatives of a given function differ only by a constant,
and this constant always cancels out of the expression when evaluating \(F(b)-F(a)\).
From this you should see that the two versions of the Fundamental Theorem are very
closely related. In reality, the two forms are equivalent, just differently stated.
Hence people often simply call them both “The Fundamental Theorem of Calculus.”
One way of thinking about the Second Fundamental Theorem of Calculus is:
This could be read
as:
The accumulation of a rate is given by the change
in the amount.
When we compute a definite integral, we first find an antiderivative and then
evaluate at the limits of integration. It is convenient to first display the antiderivative
and then evaluate. A special notation is often used in the process of evaluating
definite integrals using the Fundamental Theorem of Calculus. Instead of explicitly
writing \(F(b)-F(a)\), we often write
\[ \bigg [ F(x) \bigg ]_a^b \]
meaning that one should evaluate \(F(x)\) at \(b\) and then subtract \(F(x)\)
evaluated at \(a\)
\[ \bigg [ F(x) \bigg ]_a^b = F(b)-F(a). \]
Let’s see some examples of the fundamental theorem in action.
Compute:
\[ \int _{-2}^2 x^3 dx \]
We start by finding an antiderivative of \(x^3\). A correct choice is \(\frac {x^{4}}{4}\), one could
verify this by taking the derivative. Hence \begin{align*} \int _{-2}^2 x^3 dx &=\\bigg[ \frac {x^4}{4} \bigg ]_{-2}^2\\ &= \frac {2^4}{4} - \frac {(-2)^4}{4}\\ &= 0. \end{align*}
Compute:
\[ \int _0^\pi \sin \theta d\theta \]
We start by finding an antiderivative of \(\sin \theta \). A correct choice is \(-\cos \theta \), one could
verify this by taking the derivative. Hence \begin{align*} \int _0^\pi \sin \theta d\theta &= \bigg [ -\cos \theta \bigg ]_0^\pi \\ &=\answer [given]{-\cos (\pi )} - (-\cos (0))\\ &=\answer [given]{2}. \end{align*}
This is interesting: It says that the area under one “hump” of a sine curve is \(2\).
Compute:
\[ \int _0^5 e^t dt \]
We start by finding an antiderivative of \(e^t\). A correct choice is \(\answer [given]{e^t}\), one could
verify this by taking the derivative. Hence \begin{align*} \int _0^5 e^t dt &= \bigg [ e^t \bigg ]_0^5 \\ &= e^5-\answer [given]{e^0}\\ &= e^5-\answer [given]{1}. \end{align*}
We start by finding an antiderivative of \(x^9 + \frac {1}{x}\). A correct choice is \(\frac {x^{10}}{10} + \ln (x)\), one could
verify this by taking the derivative. Hence \begin{align*} \int _1^2\left (x^9 + \frac {1}{x}\right ) dx &= \bigg [ \frac {x^{10}}{10} + \ln (x) \bigg ]_1^2 \\ &= \frac {2^{10}}{10} + \ln (2) - \answer [given]{\frac {1}{10}}. \end{align*}
1 Understanding motion with the Fundamental Theorem of Calculus
We know that
The derivative of a position function is a velocity function.
The derivative of a velocity function is an acceleration function.
Now consider definite integrals of velocity and acceleration functions. Specifically, if \(v(t)\)
is a velocity function, what does \(\int _a^b v(t) dt\) mean?
The Second Fundamental Theorem of Calculus states that
\[ \int _a^b v(t) dt = V(b) - V(a), \]
where \(V(t)\) is any
antiderivative of \(v(t)\). Since \(v(t)\) is a velocity function, \(V(t)\) must be a position function, and \(V(b) - V(a)\)
measures a change in position, or displacement.
A ball is thrown straight up with velocity given by \(v(t) = -32t+20\)ft/s, where \(t\) is measured in
seconds. Find, and interpret, \(\int _0^1 v(t) dt\).
Using the Second Fundamental Theorem of Calculus,
we have \begin{align*} \int _0^1 v(t) dt &= \int _0^1 (-32t+20) dt \\ &= \bigg [ \answer [given]{-16t^2 + 20t} \bigg ]_0^1 \\ &= 4. \end{align*}
Thus if a ball is thrown straight up into the air with velocity
\[ v(t) = \answer [given]{-32t+20}, \]
the height of the ball, \(1\)
second later, will be \(4\) feet above the initial height. Note that the ball has traveled
much farther. It has gone up to its peak and is falling down, but the difference
between its height at \(t=0\) and \(t=1\) is \(4\)ft.
Now we know that to solve certain kinds of problems, those that involve
accumulation of some form, we “merely” find an antiderivative and substitute two
values and subtract. Unfortunately, finding antiderivatives can be quite difficult.
While there are a small number of rules that allow us to compute the derivative of
any common function, there are no such rules for antiderivatives. There are some
techniques that frequently prove useful, but we will never be able to reduce the
problem to a completely mechanical process.