Chapter 11
IN THIS CHAPTER
Adding up the area between curves
Figuring out volumes of weird shapes
Finding arc length
As I say in Chapter 8, integration is basically adding up small pieces of something to get the total for the whole thing — really small pieces, actually, infinitely small pieces. Thus, the integral
tells you to add up all the little pieces of distance traveled during the 15-second interval from 5 to 20 seconds to get the total distance traveled during that interval. In all problems, the little piece after the integration symbol is always an expression in x (or other variable). For the above integral, for instance, the little piece of distance might be given by, say, . Then the definite integral
would give you the total distance traveled. Your main challenge in this chapter is simply to come up with the algebraic expression for the little pieces you’re adding up. Before we begin the adding-up problems, I want to cover a couple other integration topics.
The best way to understand the Mean Value Theorem for Integrals is with a diagram — look at Figure 11-1.
The graph on the left in Figure 11-1 shows a rectangle whose area is clearly less than the area under the curve between 2 and 5. This rectangle has a height equal to the lowest point on the curve in the interval from 2 to 5. The middle graph shows a rectangle whose height equals the highest point on the curve. Its area is clearly greater than the area under the curve. By now you’re thinking, “Isn’t there a rectangle taller than the short one and shorter than the tall one whose area is the same as the area under the curve?” Of course. And this rectangle obviously crosses the curve somewhere in the interval. This so-called “mean value rectangle,” shown on the right, basically sums up the Mean Value Theorem for Integrals. It’s really just common sense. But here’s the mumbo jumbo.
The theorem basically just guarantees the existence of the mean value rectangle.
The area of the mean value rectangle — which is the same as the area under the curve — equals length times width, or base times height, right? So, if you divide its area, , by its base, , you get its height, . This height is the average value of the function over the interval in question.
which is the height of the mean value rectangle.
Here’s an example: What’s the average speed of a car between seconds and seconds whose speed in feet per second is given by the function ? According to the definition of average value, this average speed is given by .
This area, by the way, is the total distance traveled from 9 to 16 seconds. Do you see why? Consider the mean value rectangle to answer this question. Its height is a speed (because the function values, or heights, are speeds) and its base is an amount of time, so its area is speed times time which equals distance.
The definition of average value tells you to multiply the total area by , which in this problem is , or . But because dividing by 7 is the same as multiplying by , you can divide like I do in this step. It makes more sense to think about these problems in terms of division: area equals base times height, so the height of the mean value rectangle equals its area divided by its base.
This is the first of seven topics in this chapter where your task is to come up with an expression for a little bit of something and then add up the bits by integrating. For this first problem type, the little bit is a narrow rectangle that sits on one curve and goes up to another. Here’s an example: Find the area between and from to . See Figure 11-2.
To get the height of the representative rectangle in Figure 11-2, subtract the y-coordinate of its bottom from the y-coordinate of its top — that’s . Its base is the infinitesimal dx. So, because area equals height times base,
Now add up the areas of all rectangles from 0 to 1 by integrating:
To make things a little more twisted, in the next problem the curves cross (see Figure 11-3). When this happens, you have to split the total shaded area into two separate regions before integrating. Find the area between and from to .
Determine where the curves cross.
They cross at (1, 1), so you’ve got two separate regions — one from 0 to 1 and another from 1 to 2.
Figure the area of the region on the left.
For this region, is above . So the height of a representative rectangle is , its area is height times base, or , and the area of the region is, therefore,
Figure the area of the region on the right.
Now, is above , so the height of a rectangle is and thus you’ve got
Integration enables you to calculate the volumes of shapes that you can’t get with basic geometry formulas.
This metaphor is actually quite accurate. Picture a hunk of meat being cut into very thin slices on one of those deli meat slicers. That’s the basic idea here. You slice up a three-dimensional shape, then add up the volumes of the slices to determine the total volume.
Here’s a problem: What’s the volume of the solid whose length runs along the x-axis from 0 to and whose cross sections perpendicular to the x-axis are equilateral triangles such that the midpoints of their bases lie on the x-axis and their top vertices are on the curve ? Is that a mouthful or what? This problem is almost harder to describe and to picture than it is to do. Take a look at this thing in Figure 11-4.
So what’s the volume?
Determine the area of any old cross section.
Each cross section is an equilateral triangle with a height of . If you do the geometry, you’ll see that its base is times its height, or (Hint: Half of an equilateral triangle is a triangle). So, the triangle’s area, given by is , or .
Find the volume of a representative slice.
The volume of a slice is just its cross-sectional area times its infinitesimal thickness, dx. So you’ve got its volume:
This technique is a special case of the meat slicer method that you use when the cross-sections are all circles. Find the volume of the solid — between and — generated by rotating the curve about the x-axis. See Figure 11-5.
Determine the area of any old cross section or representative disk.
Each cross section is a circle with a radius of . So, its area is given by the formula for the area of a circle, . Plugging into r gives you
The only difference between the washer method and the disk method is that now each slice has a hole in its middle that you have to subtract. Take the area bounded by and , and generate a solid by revolving that area about the x-axis. See Figure 11-6.
So what’s the volume of this bowl-like shape?
Determine where the two curves intersect.
It should take very little trial and error to see that and intersect at and . So the solid in question spans the interval on the x-axis from 0 to 1.
Figure the area of a thin cross-sectional washer.
Each slice has the shape of a washer — see Figure 11-7 — so its area equals the area of the entire circle minus the area of the hole.
The area of the circle minus the hole is , where R is the outer radius (the big radius) and r is the radius of the hole (the little radius). For this problem, the outer radius is and the radius of the hole is , so that gives you
Now you’re going to cut up a solid into thin concentric cylinders and then add up the volumes of all the cylinders. It’s kinda like how those nested Russian (matryoshka) dolls fit inside each other. Or imagine a soup can that somehow has many paper labels, each one covering the one beneath it. Or picture one of those clothes de-linters with the sticky papers you peel off. Each soup can label or piece of sticky paper is a cylindrical shell — before you tear it off, of course. After you tear it off, it’s an ordinary rectangle.
Here’s a problem: A solid is generated by taking the area bounded by the x-axis, the lines , , and , and then revolving it about the y-axis. What’s its volume? See Figure 11-8.
Determine the area of a representative cylindrical shell.
When picturing a representative shell, focus on one that’s in no place in particular. Figure 11-8 shows such a generic shell. Its radius is unknown, x, and its height is the height of the curve at x, namely . If, instead, you use a special shell like the outermost shell with a radius of 3, you’re more likely to make the mistake of thinking that a representative shell has some known radius like 3 or a known height like . Both the radius and the height are unknown. (This advice also applies to disk and washer problems.)
Each representative shell, like the soup can label or the sticky sheet from a de-linter, is just a rectangle whose area is, of course, length times width. The rectangular soup can label goes all the way around the can, so its length is the circumference of the can, namely ; the width of the label is the height of the can. So now you’ve got the general formula for the area of a representative shell:
For the current problem, you plug in x for the radius and for the height, giving you the area of a representative shell:
So far in this chapter, you’ve added up the areas of thin rectangles to get total area, and the volumes of thin slices or thin cylinders to get total volume. Now, you’re going to add up minute lengths along a curve, an “arc,” to get the whole length. The idea is to divide a length of curve into small sections, figure the length of each, and then add them all up. Figure 11-9 shows how each section of a curve is approximated by the hypotenuse of a tiny right triangle.
You can imagine that as you zoom in further and further, dividing the curve into more and more sections, the minute sections get straighter and straighter and the hypotenuses become better and better approximations of the curve. So, all you have to do is add up all the hypotenuses along the curve between your start and finish points. The lengths of the legs of each infinitesimal triangle are dx and dy, and thus the length of the hypotenuse — given by the Pythagorean Theorem — is
To add up all the hypotenuses from a to b along the curve, you just integrate:
A little tweaking and you have the formula for arc length. First, factor out a under the square root and simplify:
Now you take the square root of — that’s dx, of course — bring it outside the radical, and, voilà, you’ve got the formula.
The expression inside this integral is simply the length of a representative hypotenuse.
Try this: What’s the length along from to ?
(See how I got that? It’s the guess-and-check integration technique with the reverse power rule. The 4/9 is the tweak amount you need because of the coefficient 9/4.)
Definite integrals are improper when they go infinitely far up, down, right, or left. They go up or down infinitely far in problems like that have one or more vertical asymptotes. They go infinitely far to the right or left in problems like or , where one or both of the limits of integration is infinite. It would make sense to use the term infinite instead of improper to describe these integrals, except that many of these “infinite” integrals have finite area. More about this in a minute.
You solve both types of improper integrals by turning them into limit problems. Take a look at some examples.
A vertical asymptote may be at the edge of the area in question or in the middle of it.
What’s the area under from 0 to 1? This function is undefined at x = 0, and it has a vertical asymptote there. So you’ve got to turn the definite integral into a limit:
This area is infinite, which probably doesn’t surprise you because the curve goes up to infinity. But hold on to your hat — the next function also goes up to infinity at , but its area is finite!
Find the area under from 0 to 1. This function is also undefined at , so the solution process is the same as in the previous example.
If the undefined point of the integrand is somewhere in between the limits of integration, you split the integral in two — at the undefined point — then turn each integral into a limit and go from there. Evaluate . This integrand is undefined at .
Turn each integral into a limit and evaluate.
For the integral, the area is to the left of zero, so c approaches zero from the left. For the integral, the area is to the right of zero, so c approaches zero from the right.
You do these improper integrals by turning them into limits where c approaches infinity or negative infinity. Here are two examples: and .
So this improper integral converges. In the next integral, the denominator is smaller — x instead of — and thus the fraction is bigger, so you’d expect to be bigger than , which it is. But it’s not just bigger, it’s way, way bigger.
This improper integral diverges.
When both of the limits of integration are infinite, you split the integral in two and turn each part into a limit. Splitting up the integral at x = 0 is convenient because zero’s an easy number to deal with, but you can split it up anywhere. Zero may also seem like a good choice because it looks like it’s in the middle between . But that’s an illusion because there is no middle between , or you could say that any point on the x-axis is the middle.
Here’s an example:
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