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.
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.
Let \(A(t)\) denote the amount of some substance/population at the time \(t\).
Assume that the function \(A\) is continuous, differentiable and its derivative, \(A'\), continuous on some time interval \([a,b]\).
Then, the change in the amount \(A\) over the time interval \([a,b]\) is given by
The right hand side of the equation gives the “accumulation of a rate”. You can think of this definite integral as the limit of Riemann sums, where each Riemann sum is the“sum of the changes of the amount over small intervals of time”.
- (a)
- By how much has the population grown during the first three days of the
experiment? The growth of population during the first three days of the experiment is given by: \begin{align*} P(3)-P(0) &=\int _0^3 P'(t) dt\\ &=\int _0^3 100 e^{-0.2 t} dt\\ &=\bigg [ \frac {100}{-0.2}e^{-0.2 t} \bigg ]_0^3\approx 226 \end{align*}
During the first three days, the population grew approximately by 226 cells.
- (b)
- Compute the right Riemann sum of the function \(P'\) and the interval \([0,3]\) with \(n=3\). What
does this Riemann sum approximate? Is this approximation an underestimate
or an overestimate and why?
This Riemann sum approximates the change in population during the first three days of the experiment. We expect it to be an underestimate, because the function \(P'\) is decreasing and this is a right Riemann sum.
Since \(n=3\), \(\Delta t=1\). \begin{align*} P(3)-P(0) &\approx \sum _{k=1}^3P'(k)\\ &=P'(1)+P'(2)+P'(3)\\ &=100e^{-0.2 }+100e^{-0.4}+100e^{-0.6}\\ &\approx 204 \end{align*}
- (c)
- Find the population at any time \(t\ge 0\).
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:
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 \([a,b]\)
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 \(f(x_n^*)\):
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 \(n\to \infty \):
This leads us to our next definition:
Multiplying this equation by \((b-a)\), we obtain that
If \(f\) is positive, the average value of a function gives the height of a single rectangle whose area is equal to
An application of this definition is given in the next example.
What is the average velocity of the object?
(Reminder: \(s\) is the position function, and \(a\) the acceleration).
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
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
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, \(F\),
We demonstrate the principles involved in this version of the Mean Value Theorem in the following example.