We give more contexts to understand integrals.

1 Velocity and displacement, speed and distance

Some values include “direction” that is relative to some fixed point.

  • \(v(t)\) is the velocity of an object at time \(t\). This represents the “change in position” at time \(t\).
  • \(s(t)\) is the position of an object at time \(t\). This gives location with respect to the origin.

    \[ s(t) = s(a)+\int _a^t v(z) dz. \]
  • \(s(b) -s(a)\) is the displacement, the distance between the starting and finishing locations.

On the other hand speed and distance are values without “direction.”

  • \(|v(t)|\) is the speed.
  • \(\int _a^b |v(t)| dt\) is the distance traveled.
Consider a particle whose velocity at time \(t\) is given by \(v(t) = \sin (t)\). What is the displacement of the particle from \(t=0\) to \(t=\pi \)? That is, compute:
\[ \int _0^\pi \sin (t) dt \begin{prompt}= \answer [given]{2}\end{prompt} \]
What is the displacement of the particle from \(t=0\) to \(t=2\pi \)? That is, compute:
\[ \int _0^{2\pi } \sin (t) dt \begin{prompt}= \answer [given]{0}\end{prompt} \]
What is the distance traveled by the particle from \(t=0\) to \(t=\pi \)? That is, compute:
\[ \int _0^\pi \left | \sin (t) \right | dt \begin{prompt}= \answer [given]{2}\end{prompt} \]
What is the distance traveled by the particle from \(t=0\) to \(t=2\pi \)? That is, compute:
\[ \int _0^{2\pi } \left | \sin (t) \right | dt \begin{prompt}=\answer [given]{4}\end{prompt} \]

2 Change in the amount

We can apply the Fundamental Theorems of Calculus to a variety of problems where both accumulation and rate of change play important roles. For example, we can consider a tank that is being filled with fuel at some rate. Given the rate, we can ask what is the amount of fuel in the tank at a certain time. Or, a tank that is being emptied at a given rate, or a culture of bacteria growing in a Petri dish, or a population of a city, etc. This brings us to our next theorem.

3 Average value

Conceptualizing definite integrals as “signed area” works great as long as one can actually visualize the “area.” In some cases, a better metaphor for integrals comes from the idea of average value. Looking back to your days as an even younger mathematician, you may recall the idea of an average:

\[ \frac {f_1+f_2+\dots +f_n}{n} = \frac {1}{n}\sum _{k=1}^n f_k \]

If we want to know \(\overline {f}\), the average value of a function on the interval \([a,b]\), a naive approach might be to introduce \(n+1\) equally spaced grid points on the interval \([a,b]\)

\[ a=x_0 < x_1 < \dots < x_{n}=b \]

and choose a sample point \(x_k^*\) in each interval \([x_k,x_{k+1}]\), \(k=1,\dots ,n\).

We will approximate the average value of \(f\) on the interval \([a,b]\) with the average of \(f(x_1^*)\), \(f(x_2^*)\), …, and \(f(x_n^*)\):

\[ \overline {f}\approx \frac {f(x_1^*) + f(x_2^*) + \dots + f(x_n^*)}{n} = \frac 1n\sum _{k=1}^n f(x_k^*). \]

Multiply this last expression by \(1 = \frac {(b-a)}{(b-a)}\): \begin{align*} \frac 1n \sum _{k=1}^n f(x_k^*)\frac {(b-a)}{(b-a)} &= \sum _{k=1}^n f(x_k^*)\frac 1n \frac {(b-a)}{(b-a)} \\ &= \frac {1}{b-a} \sum _{k=1}^n f(x_k^*)\frac {b-a}n \\ &=\frac {1}{b-a} \sum _{k=1}^n f(x_k^*)\Delta x \end{align*}

where \(\Delta x = (b-a)/n\). Ah! On the right we have a Riemann Sum!

What will happen as \(n\to \infty \)?

We take the limit as \(n\to \infty \):

\[ \overline {f}=\lim _{n\to \infty } \frac {1}{b-a} \sum _{k=1}^n f(x_k^*)\Delta x = \frac {1}{b-a} \int _a^b f(x) dx. \]

This leads us to our next definition:

Multiplying this equation by \((b-a)\), we obtain that

\[ \overline {f}(b-a)= \int _a^b f(x) dx. \]

If \(f\) is positive, the average value of a function gives the height of a single rectangle whose area is equal to

\[ \int _a^b f(x) dx. \]

An application of this definition is given in the next example.

Choose all the correct expressions for \(\overline {v}\), the average velocity of an object moving along a straight line over the time interval \([a,b]\).

(Reminder: \(s\) is the position function, and \(a\) the acceleration).

\(\overline {v}=\frac {1}{b-a}\int _a^b s(t) dt\) \(\overline {v}=\frac {1}{b-a}\int _a^b v(t) dt\) \(\overline {v}=\frac {1}{b-a}\int _a^b a(t) dt\) \(\overline {v}=\frac {a(b)-a(a)}{b-a}\) \(\overline {v}=\frac {v(b)-v(a)}{b-a}\) \(\overline {v}=\frac {s(b)-s(a)}{b-a}\)

When we take the average of a finite set of values, it does not matter how we order those values. When we are taking the average value of a function, however, we need to be more careful.

For instance, there are at least two different ways to make sense of a vague phrase like “The average height of a point on the unit semi circle”

One way we can make sense of “The average height of a point on the unit semi circle” is to compute the average value of the function

\[ f(x) =\sqrt {1-x^2} \]

on the interval \([-1,1]\).

Another way we can make sense of “The average height of a point on the unit semi circle” is the average value of the function

\[ g(\theta ) =\sin (\theta ) \]

on \([0,\pi ]\), since \(\sin (\theta )\) is the height of the point on the unit circle at the angle \(\theta \).

See if you can understand intuitively why the average using \(f\) should be larger than the average using \(g\).

4 Mean value theorem for integrals

Just as we have a Mean Value Theorem for Derivatives, we also have a Mean Value Theorem for Integrals.

This is an existential statement. The Mean Value Theorem for Integrals tells us:

The average value of a continuous function is in the range of the function.

Define an accumulation (area) function, \(F\),

\[ F(x)= \int _a^x f(t) dt \]
Since \(F\) is continuous on the interval \([a,b]\) and differentiable on the interval \((a,b)\), we can apply the Mean Value Theorem to the function \(F\) on the interval \([a,b]\). Therefore, there exist a number \(c\) in \((a,b)\) such that
\[ F'(c)=\frac {F(b)-F(a)}{b-a} \]
But we know that \(F'(c)=f(c)\), and that \(F(b)-F(a)=\int _a^bf(t) dt =\int _a^bf(x) dx \). Therefore,
\[ f(c)=\frac {1}{b-a}\int _a^bf(x) dx \]

We demonstrate the principles involved in this version of the Mean Value Theorem in the following example.

2025-01-06 18:55:31