Fubini's Theorem and Iterated Integrals
Definition and Concept of Fubini's Theorem
Fubini's theorem gives you a practical way to evaluate double integrals: instead of integrating over a two-dimensional region all at once, you can perform two successive single-variable integrations. This is the core technique you'll rely on for nearly every double integral computation in this course.
The formal statement: if is continuous on a closed, bounded rectangular region , then
Both iterated integrals give the same result, and both equal the double integral. This means you get to choose which variable to integrate first.
Iterated Integrals and Interchange of Integration Order
An iterated integral is just a nested pair of single-variable integrals. In , you integrate with respect to first (treating as a constant), then integrate the result with respect to .
Fubini's theorem guarantees that swapping the order of integration doesn't change the answer, as long as is continuous on the rectangle. This flexibility is genuinely useful: sometimes integrating leads to a nasty antiderivative, while works out cleanly (or vice versa). When you're stuck on an iterated integral, try switching the order before reaching for more advanced techniques.
Representing Double Integrals as Repeated Single Integrals
Here's the step-by-step process for evaluating a double integral using Fubini's theorem:
- Set up the iterated integral. Choose an order of integration and write the appropriate limits. For a rectangle , the limits are constants.
- Evaluate the inner integral. Integrate with respect to the inner variable, treating the outer variable as a constant. You'll get a function of the outer variable only.
- Evaluate the outer integral. Integrate the result from step 2 with respect to the outer variable. This gives you a number: the value of the double integral.
Example: Evaluate where .
Choosing order:
Note: The example in the original section with limits describes a non-rectangular region. On a rectangle, both sets of limits are constants. For non-rectangular regions, the inner limits depend on the outer variable, and extra care is needed when switching the order of integration.

Conditions for Fubini's Theorem
Continuity Requirement
Fubini's theorem requires to be continuous on the region of integration. Continuity means the function has no jumps, holes, or undefined points within the region.
If continuity fails, the two iterated integrals can actually give different values, which means neither one reliably represents the double integral. A classic example: define
for . The two iterated integrals over a region containing the origin can yield different results, showing that Fubini's theorem genuinely breaks down without continuity.
In practice, check for points where the function blows up or is undefined. If those points lie inside or on the boundary of your region, you can't apply Fubini's theorem directly.
Bounded Region Requirement
The region of integration must also be bounded, meaning it fits inside some finite rectangle in the -plane. For this unit, you're working with rectangular regions described by and , where are all finite numbers.
If the region extends to infinity (like ), the integral becomes an improper double integral. These require separate convergence analysis and can't be handled by Fubini's theorem alone.

Applications
Applications in Physics
Moments of inertia for flat objects use the integral , where is the mass density and is the distance from the axis of rotation. Fubini's theorem turns this into two manageable single integrals.
Center of mass calculations follow a similar pattern. For a lamina with density over region :
- Total mass:
- Coordinates: , and
Each of these double integrals gets evaluated as an iterated integral via Fubini's theorem.
Applications in Engineering
Volume of a solid beneath a surface and above a rectangular region in the -plane is given directly by , provided on .
Average value of a function over a region is
For a rectangle with dimensions , the area is simply . This comes up in heat transfer (average temperature over a plate), fluid mechanics (average pressure over a surface), and similar contexts where a single representative value over a region is needed.