Double Integrals Over General Regions
Evaluate double integrals over regions bounded by curves rather than straight edges — Type I and Type II regions.
Every double integral so far has lived over a rectangle: fixed limits on both variables, the same box no matter what x or y happens to be. Most real regions aren't rectangles — a wedge, a lens shape between two curves, the footprint of an actual part. The rectangle was training wheels.
Ready to put it into practice?
Start practicingA Type I region: x runs over a fixed interval, and for each x, y is trapped between two curves that depend on x.
Type I region
- Fixed numbers — the outer x-bounds, the same for every x in the region.
- The lower boundary curve: where the region starts in y, at a given x.
- The upper boundary curve: where the region ends in y, at a given x.
The integral over it, written as an iterated integral:
Iterated integral over a Type I region
- Outer integral: sweep x over its fixed interval, exactly like a rectangle's outer bound.
- Inner integral: for the current x, sweep y from the lower curve up to the upper curve.
- Integrate with respect to y first, then with respect to x.
Compare to the rectangle version: the outer bounds a, b are still plain numbers — that never changes. What's different is the inner bounds. They used to be plain numbers c and d. Now they're functions of x, because the strip's top and bottom slide as x moves. Picture vertical strips of width dx, each one running from the lower curve up to the upper curve, then add the strips from x = a to x = b.
Turn the strips 90 degrees and you get a Type II region: y runs over a fixed interval, and for each y, x is trapped between two curves.
Type II region
- The left boundary curve: where the region starts in x, at a given y.
- The right boundary curve: where the region ends in x, at a given y.
Same idea, axes swapped: horizontal strips instead of vertical ones. Some regions are only Type I, some are only Type II, and plenty are both — you just pick whichever direction makes the description, and the resulting integral, easier. The practice problems below are all Type I.
The intersection points of the two boundary curves are a and b — solve g_1(x) = g_2(x) for x and you've found the outer limits. This is the step students skip, and then wonder why their bounds are wrong. No intersection points, no valid Type I region.
Order of integration is no longer a free swap the way it was for a rectangle. Fubini still holds, but switching from Type I to Type II means re-deriving the bounds from scratch — you can't just relabel dx and dy and keep the same numbers.
Worked example
Find where the parabola and the line cross — those two x-values become the fixed outer bounds. Checking x = 0: the line gives y = 2, the parabola gives y = 0, so the line sits on top through the whole region.
Inner integral, with respect to y, from the lower curve to the upper curve. x is frozen throughout, so it rides along as a constant just like it did over a rectangle.
Outer integral, over the fixed interval found in step 1. This part is exactly like every rectangle problem already done.
Answer:
How to solve one of these
- 1.
Sketch the region. Even a rough sketch shows immediately whether or is the variable trapped between two curves.
- 2.
Find the intersection points of the boundary curves. Set the two curve expressions equal and solve. These -values (Type I) or -values (Type II) become the fixed outer bounds.
- 3.
Identify the lower and upper curve. Plug in one point inside the interval to check which curve is on top — don't guess from the equations alone.
- 4.
Write the iterated integral with matched bounds. Inner differential pairs with the curve bounds; outer differential pairs with the two intersection values.
- 5.
Evaluate the inner integral. Treat the outer variable as a constant, substitute the curve expressions as the limits, and simplify — the result is a plain polynomial in the outer variable.
- 6.
Evaluate the outer integral. A single-variable integral over fixed numeric limits — nothing new here.
- 7.
Check the shape. If the final polynomial in the outer variable has a wildly high degree or an unexpected sign, recheck which curve was called upper vs. lower.
Sweep vertical strips from x = a to x = b; each strip runs from the lower curve g_1(x) up to the upper curve g_2(x).
Ready to put it into practice?
Start practicing