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Multidimensional Integration 4 | Fubini's Theorem in Action [dark version] thumbnail

Multidimensional Integration 4 | Fubini's Theorem in Action [dark version]

4 min read

Based on The Bright Side of Mathematics's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Fubini’s theorem computes an n+m dimensional integral as an iterated integral over A and B when f is nonnegative or integrable (in the absolute-value sense).

Briefing

Fubini’s theorem becomes usable even when the integration region isn’t a rectangle—by extending the function to a larger Cartesian product and setting it to zero outside the original domain. That move preserves the original integral while allowing the order of integration to be swapped, which can make calculations dramatically simpler.

The setup starts with a measurable function f on a Cartesian product A×B in R^{n+m}. Under standard conditions—either f is nonnegative or f is integrable in the absolute-value sense—the n+m dimensional integral can be computed as an iterated integral over A and B. Crucially, the theorem guarantees that the order of these iterated integrals does not matter.

The practical problem is that many real regions aren’t rectangles. A function might be defined on a curved set U in R^2 rather than on a product of intervals. In that case, Fubini’s theorem can’t be applied directly because the domain isn’t of the form A×B. The workaround is to embed U into a rectangle A×B, then define an extended function f~ on the rectangle: f~(x,y)=f(x,y) when (x,y) lies in U, and f~(x,y)=0 everywhere else. Since f~ is zero outside U, integrating f~ over the rectangle gives exactly the same value as integrating f over U. Once this extension is in place, Fubini’s theorem applies, and the iterated integrals can be chosen in whichever order makes the “zero regions” easiest to handle.

An example in R^2 makes the method concrete. The region U is bounded by y=3−x^2, with x ranging from 0 to 1 and y running up to the parabola; the region is not a Cartesian product because the upper boundary depends on x. The function being integrated is constant and equal to 1 on U, so the integral represents the area of U (interpretable as the volume under the surface z=1 above the (x,y)-plane).

After extending the constant function to the surrounding rectangle by setting it to zero outside U, the iterated integral can be written with y as the inner variable: for each fixed x, the integrand is 1 only when y lies between 1 and 3−x^2, and it is effectively zero otherwise. That observation collapses the inner integral to “upper limit minus lower limit,” yielding 3−x^2−1=2−x^2. The remaining outer integral over x from 0 to 1 is then straightforward, producing the final area value 5/3.

The takeaway is operational: when the region is curved, extend the function by zero to a rectangle, then use Fubini to reduce a multi-dimensional integral to a sequence of one-dimensional integrals—often with the best order chosen to exploit where the integrand vanishes.

Cornell Notes

Fubini’s theorem lets iterated integrals compute an n+m dimensional integral, and it permits swapping the order of integration when the function is nonnegative or integrable. The catch is that the theorem requires the domain to be a Cartesian product A×B. For curved regions U, the standard fix is to enlarge U to a rectangle A×B and define an extended function f~ that equals the original f on U and is 0 outside U. This preserves the integral value while making the domain compatible with Fubini. In the worked R^2 example, integrating the constant function 1 over a region under y=3−x^2 (with x from 0 to 1) becomes a pair of one-dimensional integrals, leading to an area of 5/3.

Why does Fubini’s theorem require a Cartesian product domain, and what breaks when the region is curved?

Fubini’s theorem is formulated for functions defined on sets of the form A×B (a product of intervals/sets). When the region U is curved, like a region bounded by y=3−x^2, it cannot be written as a simple product of independent x-intervals and y-intervals. That means the theorem can’t be applied directly because the iterated-integral structure doesn’t match the geometry of U.

How does extending the function by zero make a curved region compatible with Fubini’s theorem?

Pick intervals A and B so that U⊂A×B. Define f~(x,y)=f(x,y) for (x,y)∈U, and f~(x,y)=0 for (x,y)∉U. Since f~ contributes nothing outside U, the integral of f~ over A×B equals the integral of f over U. Now the domain is a Cartesian product, so Fubini applies.

In the example, why does choosing the order of integration matter for simplifying the work?

After extension, the integrand is effectively 1 only where y lies between the x-dependent bounds defining U. Writing the inner integral with respect to y makes those bounds explicit: for each x, the inner integral becomes (upper y bound)−(lower y bound). If the order were reversed, the description of the region in terms of x as a function of y might be less direct, making the “zero” simplifications harder to see.

How does the constant function f=1 translate into a geometric quantity?

With f(x,y)=1 on U, the double integral ∫∫_U 1 dA measures the area of U. The transcript visualizes this as the volume under the surface z=1 above the (x,y)-plane; since the height is constant, that volume equals area.

What are the concrete bounds used in the worked R^2 calculation, and how does the integral reduce?

The region U uses x from 0 to 1 and y from 1 up to 3−x^2. After applying Fubini, the inner integral over y gives 1·(3−x^2−1)=2−x^2. The remaining outer integral is ∫_0^1 (2−x^2) dx, which evaluates to 5/3.

Review Questions

  1. What conditions on f (nonnegative vs integrable absolute value) allow Fubini’s theorem to guarantee equality of iterated integrals and independence of order?
  2. How do you construct f~ on a rectangle A×B when the original domain U is not a Cartesian product?
  3. In the example region under y=3−x^2, what are the y-limits for a fixed x, and how do they determine the inner integral?

Key Points

  1. 1

    Fubini’s theorem computes an n+m dimensional integral as an iterated integral over A and B when f is nonnegative or integrable (in the absolute-value sense).

  2. 2

    The theorem requires the domain to be a Cartesian product A×B; curved regions U don’t fit directly.

  3. 3

    To handle a curved region, enlarge it to a rectangle A×B and define an extended function f~ that equals f on U and is 0 outside U.

  4. 4

    Extending by zero preserves the original integral value because f~ contributes nothing outside U.

  5. 5

    Choosing the order of integration can simplify calculations by making the x- or y-dependent bounds appear as clear limits where the integrand is nonzero.

  6. 6

    In the worked case with f=1 over the region bounded by x∈[0,1] and y∈[1,3−x^2], the area comes out to 5/3.

Highlights

When the region isn’t a rectangle, the fix is to extend the integrand by zero to a surrounding Cartesian product so Fubini applies.
Swapping integration order is only safe once the integrand and domain satisfy Fubini’s conditions, but the “zero extension” often makes that possible.
A constant integrand f=1 turns a double integral into a direct area calculation; in the example, that area equals 5/3.
Writing the inner integral in the variable that matches the region’s natural bounds can collapse the computation to “upper minus lower.”

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