Understanding Double Integrals over Rectangles
Double integrals extend single-variable integration to two dimensions, letting you calculate the volume beneath a surface over a flat rectangular region. They're the foundation for all the multiple integral techniques you'll encounter in this unit.
The core strategy is iterated integration: instead of tackling both variables at once, you integrate with respect to one variable while treating the other as a constant, then integrate the result with respect to the second variable. Fubini's Theorem is what makes this legal, and it also lets you swap the order of integration when one order is easier than the other.
Evaluation of Double Integrals
The notation means "integrate the function over the rectangular region ." For a rectangle , this becomes an iterated integral:
The outer integral's limits correspond to the outer variable (here ), and the inner integral's limits correspond to the inner variable (here ).
How to evaluate step by step:
- Start with the inner integral. Integrate with respect to , treating as a constant. Evaluate from to . The result is a function of alone.
- Take that result and integrate it with respect to from to . This gives you a single number.
Fubini's Theorem states that for any continuous function on a rectangle :
Both orders produce the same answer. This is only guaranteed on rectangles (and more generally when is continuous on the region), but for this section that's always the case.

Volume Calculation with Double Integrals
Geometrically, gives the volume of the solid that sits above the rectangle in the -plane and below the surface (assuming on ).
Setting up a volume problem:
- Identify the surface . This could be a paraboloid like , a plane like , or any other function of two variables.
- Determine the rectangular region . For example, means ranges from 0 to 2 and ranges from 1 to 3.
- Write the volume as and evaluate using iterated integration.
Quick example: Find the volume under over .

Average Value over Rectangular Regions
The average value of over a rectangle works just like the 1D average value formula, but now you divide by the area of the region instead of the length of an interval:
where is the area of the rectangle .
Steps:
- Compute the area of the rectangle.
- Evaluate using iterated integration.
- Divide the integral's value by .
For the example above, the average value of over would be .
Order of Integration in Rectangles
On rectangular regions, you always have the freedom to integrate in either order. The question is which order makes the computation simpler.
Choosing the better order:
- Look at the integrand and ask: is it easier to integrate with respect to first, or first?
- For something like , integrating with respect to first is messy, but integrating with respect to first gives a straightforward exponential integral.
- Polynomials are usually equally easy in either order. The payoff of switching order shows up most with products of functions, exponentials, or trigonometric expressions where one variable creates a simpler antiderivative.
Fubini's Theorem recap: . On rectangles with continuous functions, you can always swap. Pick whichever order leads to an antiderivative you can actually find.
A good habit: before computing, glance at both orders. Spending 30 seconds choosing the right order can save you minutes of messy algebra.