A double integral is an integral
R is a region in , and is an integrable function.
Under appropriate conditions --- for example, if f is continuous function --- you can compute a double integral as an iterated integral:
In the first case, the region is described by inequalities
In the second case, the region is described by inequalities
Example. Compute
I may compute the double integral as an iterated integral, integrating with respect to one variable at a time while holding the other variable constant.
Since all the limits are numbers, I can integrate first with respect to x and then with respect to y, or the other way around. In this problem, there is no reason to prefer one order to another.
Notice how the limits of integration are matched with the integration variable from inside out:
Thus, you integrate with respect to x first (holding y constant), then with respect to y.
You might try doing this integral in the other order, with respect to y and then x:
You should get the same answer.
Example. Sketch the region of integration for the double integral:
(a) .
(b) .
(a)
(b)
Example. Compute
Note that since y has a variable limit, I must integrate with respect to y first, then x. When I integrate with respect to y, I hold x constant. Thus, the term " " is constant with respect to y when I do the first integration.
Example. Compute
The double integral over a region R of the constant function 1 is just the area of R.
Example. Evaluate the integral without computing any antiderivatives:
The region is
Note that gives . But we're only looking at the part from to .
The region is a half circle of radius 2, whose area is
Hence,
Example. Evaluate the integral without computing any antiderivatives:
The region is
Now gives , a line with x-intercept 4 and y-intercept 3.
The region is a triangle in the first quadrant, whose area is
Multiple integrals satisfy the monotonicity condition: "Bigger functions give bigger integrals".
Proposition. Suppose f and g are integrable on a region R and for all . Then
Example. Suppose for all . Use this to obtain a lower bound for
Thus,
Copyright 2018 by Bruce Ikenaga