Understanding Fubini's Theorem for Calculating Area in 2D - Explained Simply

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In summary, Fubini's theorem states that a double integral can be evaluated as two nested one-dimensional integrals. In the example provided, the area of a bounded region is computed using an outer integral with bounds of -1 and 2, and an inner integral with bounds of x^2 and x+2. This is because the inner integral represents the length of the vertical line between the bounding curves as a function of x. Fubini's theorem can be extended to multiple integrals taken with respect to different measures, such as the Lebesgue and counting measures.
  • #1
twoflower
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Hi all,

I don't fully understand the usage of Fubini's theorem.

Let's say I have to compute the area of

[tex]
\Omega \subset \mathbb{R}^2\mbox{ , }\Omega\mbox{ is bounded with }y = x^2\mbox{ and }y = x + 2
[/tex]

[tex]
\mbox{area(\Omega)} = \iint_{\Omega} 1\ dx\ dy
[/tex]

When I draw the situation, I easily find leftmost and rightmost point of this area, which have x-coordinates -1 and 2, respectively.

Well, Fubini tells us that the integral above can be evaluated as (in this case) two nested one-dimensional integrals. But I have problems with the lower and upper bounds.

The outer integral is clear, it will be

[tex]
\int_{-1}^{2} ...
[/tex]

But I'm not sure with the inner one. I know the bounds can't be 0 and 4, because that would give me the area of the whole rectangle.

So, right solution is this:

[tex]
\iint_{\Omega} 1\ dx\ dy = \int_{-1}^{2}\left( \int_{x^2}^{x+2} 1\ dy\right)\ dx = ... = \frac{9}{2}
[/tex]

I don't fully get it...why are the bounds of the inner integral [itex]x^2[/itex] and [itex]x+2[/itex]? I know those are the bounding curves, but in Fubini's theorem there is just

[tex]
\int_{a_1}^{b_1} \left( \int_{a_2}^{b_2} ...
[/tex]

Which I can't connect with the bounds in my example.

And other question - why is it

[tex]
\int_{x^2}^{x+2}
[/tex]

and not

[tex]
\int_{x+2}^{x^2}\mbox{ ?}
[/tex]

Is it because on the interval [itex](-1, 2)[/itex] the function [itex]x+2[/itex] is greater than [itex]x^2[/itex]?

Thank you very much for clarifying this...
 
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  • #2
You integrate from x^2 to x+2, because x^2 is the lower bound and x+2 the upper bound, as you can easily see from a drawing.

A way to visualize it is this. What does the inner integral mean? In this case, it is the length of the vertical line between the bounding curves as a function of x. Right? It's simply [itex](x+2)-x^2[/itex] in this case.
A little more generally, you can use double integrals like [itex]\int_a^b \int_{g(x)}^{h(x)} f(x,y)dydx[/itex] to find the volume of the graph under f(x,y) in which case the inner integral will be the area under the graph obtained by intersecting the graph of f(x,y) with a vertical plane parallel to the yz-plane (or xz-plane, depending on the variable) as a function of x. The inner integral is just a function of x, and it's an area like a standard integral. Then you integrate that along y to get the total volume. If you can visualize that procedure I`m sure you see why the bounds are what they are.
 
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  • #3
Galileo said:
You integrate from x^2 to x+2, because x^2 is the lower bound and x+2 the upper bound, as you can easily see from a drawing.
A way to visualize it is this. What does the inner integral mean? In this case, it is the length of the vertical line between the bounding curves as a function of x. Right? It's simply [itex](x+2)-x^2[/itex] in this case.
A little more generally, you can use double integrals like [itex]\int_a^b \int_{g(x)}^{h(x)} f(x,y)dydx[/itex] to find the volume of the graph under f(x,y) in which case the inner integral will be the area under the graph obtained by intersecting the graph of f(x,y) with a vertical plane parallel to the yz-plane (or xz-plane, depending on the variable) as a function of x. The inner integral is just a function of x, and it's an area like a standard integral. Then you integrate that along y to get the total volume. If you can visualize that procedure I`m sure you see why the bounds are what they are.

Thank you Galileo! I think it's more clear to me now. This was very easy problem, I hope I will understand the three-dimensional as well :)
 
  • #4
I'm just curious: does Fubini's Theorem extend to the case of multiple integrals taken w.r.t. different measures?

Like, say the Lebesgue and counting measures?
 

FAQ: Understanding Fubini's Theorem for Calculating Area in 2D - Explained Simply

What is Fubini's Theorem and how does it relate to calculating area in 2D?

Fubini's Theorem is a mathematical theorem that allows us to calculate double integrals by breaking them up into two single integrals, one for each variable. In terms of calculating area in 2D, this means we can calculate the area under a curve by integrating with respect to one variable, and then integrating again with respect to the other variable.

Can you explain Fubini's Theorem in simpler terms?

Fubini's Theorem essentially states that if we have a function of two variables, we can calculate its integral by integrating with respect to one variable, and then integrating again with respect to the other variable. This is useful for calculating area in 2D because it allows us to break down a complex shape into smaller, easier-to-calculate parts.

How does Fubini's Theorem work in practice?

In practice, Fubini's Theorem allows us to switch the order of integration. This means that if we are integrating with respect to x first, we can then integrate with respect to y. Or if we are integrating with respect to y first, we can then integrate with respect to x. This flexibility makes it easier to calculate double integrals and find the area under a curve in 2D.

Are there any limitations to using Fubini's Theorem for calculating area in 2D?

Yes, there are some limitations to using Fubini's Theorem. It only works for continuous functions, and the order of integration matters. In some cases, switching the order of integration can lead to different results. Additionally, if the shape we are trying to calculate the area for is too complex, Fubini's Theorem may not work and we may need to use other methods.

How is Fubini's Theorem used in other areas of science?

Fubini's Theorem is used in many areas of science, including physics, engineering, and economics. It is especially useful in calculating volumes and centroids in 3D, as well as in solving differential equations. It is also used in probability and statistics to calculate joint probabilities and expected values. Essentially, Fubini's Theorem is a powerful tool for solving many different types of problems involving multiple variables.

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