M408M Learning Module Pages
Main page Chapter 10: Parametric Equations and Polar CoordinatesChapter 12: Vectors and the Geometry of SpaceChapter 13: Vector FunctionsChapter 14: Partial DerivativesChapter 15: Multiple IntegralsLearning module LM 15.1: Multiple integralsLearning module LM 15.2: Multiple integrals over rectangles:One variable at a time!Fubini's Theorem Notation and order Learning module LM 15.3: Double integrals over general regions:Learning module LM 15.4: Double integrals in polar coordinates:Learning module LM 15.5a: Multiple integrals in physics:Learning module LM 15.5b: Integrals in probability and statistics:Learning module LM 15.10: Change of variables: |
One variable at a time!Now that we know what double integrals are, we can start to compute them. The key idea is: One variable at a time! In order to integrate over a rectangle [a,b]×[c,d], we first integrate over one variable (say, y) for each fixed value of x. That's an ordinary integral, which we can do using the fundamental theorem of calculus. We then integrate the result over the other variable (in this case x), which we can also do using the fundamental theorem of calculus. So a 2-dimensional double integral boils down to two ordinary 1-dimensional integrals, one inside the other. We call this an iterated integral. There are two ways to see the relation between double integrals and iterated integrals. In the bottom-up approach, we evaluate the sum m∑i=1n∑j=1f(x∗i,y∗j)ΔxΔy, by first summing over all of the boxes with a fixed i to get the
contribution of a column, and then adding up the columns. (Or we can sum
over all of the boxes with a fixed j to get the contribution of a
row, and then add up the rows.)
This bottom-up approach is explained in the following video. (However, there is a small error. At the beginning it says that we're going to integrate over the rectangle [0,1]×[0,2], but for the rest of the video the region R is actually the rectangle [0,2]×[0,1].) An alternate approach to finding volumes (and hence double integrals)
- the so-called Slice Method - was formulated by
Cavalieri
and is expressed mathematically in
We already used this idea to compute volumes of revolution. Suppose W is created by rotating the graph of y=f(x),a≤x≤b, about the x-axis. When Px is a plane perpendicular to the x-axis, then the slice of W cut by Px is a disk of radius f(x). Here A(x)=πf(x)2, so we recover the familiar result volume of W = π∫baf(x)2dx
for a volume of revolution. But Cavalieri's Principle does not require
the cross-sections to be triangles or disks!
In other words, the volume of a region is the ∫baA(x)dx, where A(x) is the cross-sectional area at a particular value of x. But that's the area under the curve z=f(x,y), where we are treating x as a constant and y as our variable. That is, the double integral ∬Rf(x,y)dA equals the iterated integral ∫ba(∫dcf(x,y)dy)dx. |