Definition of Integral in Multiple Variables

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SUMMARY

The discussion centers on the definition of integrals in multiple variables, specifically using the Dyadic Cube C_{k,N} in \(\mathbb{R}^{n}\). Participants clarify that \(N\) represents the level of the cubes, while \(k\) denotes the indices of the cubes in the partitioning of the space. The supremum \(M_{A}(f)\) and infimum \(m_{A}(f)\) of a function \(f\) over a set \(A\) are discussed, emphasizing their roles in calculating upper and lower sums \(U_{N}(f)\) and \(L_{N}(f)\). The conclusion drawn is that the upper and lower sums converge to the integral, reinforcing the concept that in multiple dimensions, the integral is an extension of the single-variable case.

PREREQUISITES
  • Understanding of Dyadic Cubes in \(\mathbb{R}^{n}\)
  • Familiarity with supremum and infimum concepts in real analysis
  • Knowledge of volume calculations in multiple dimensions
  • Basic principles of integration in single and multiple variables
NEXT STEPS
  • Study the properties of Dyadic Cubes in \(\mathbb{R}^{n}\)
  • Learn about the calculation of upper and lower sums in multiple integrals
  • Explore the relationship between supremum, infimum, and integrals in higher dimensions
  • Investigate visual representations of multiple integrals and their geometric interpretations
USEFUL FOR

Mathematicians, students of calculus, and anyone interested in advanced integration techniques in multiple variables will benefit from this discussion.

Astrum
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Dyadic Cube [tex]C_{k,N} = X \in\ \mathbb{R}^{n} \frac{k_{i}}{2^{N}} \leq x_{i} < \frac{k_{i}+1}{2^{N}} for 1 \leq i \leq n[/tex]

Where [tex]k = \pmatrix {<br /> k_{1} \cr<br /> k_{2} \cr<br /> \vdots \cr<br /> k_{i} \cr<br /> }[/tex]

I understand that N is the level of the cubes, but what does k equal?

I'm having trouble visualizing this in my head.

[itex]A \subset \mathbb{R}^{n}[/itex]

[tex]M_{A}(f)= supp_{x \in A}f(x); m_{A}(f) = inf_{x \in A}f(x)[/tex] [tex]U_{N}(f) = \sum M_{c}(f) vol_{n}C[/tex] [tex]L_{N}(f) = \sum m_{c}(f) vol_{n}C[/tex]

I get the general idea, but I can't really see this in my head.

If you take the supp value of a function on a given cube, and multiply it by the volume of you cube, you get volume again??

I can't really get the image straight.

I get that this is just an extension of single variable, so it means that U must equal L which must equal I (integral).
 
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Astrum said:
Dyadic Cube [tex]C_{k,N} = X \in\ \mathbb{R}^{n} \frac{k_{i}}{2^{N}} \leq x_{i} < \frac{k_{i}+1}{2^{N}} for 1 \leq i \leq n[/tex]

Where [tex]k = \pmatrix {<br /> k_{1} \cr<br /> k_{2} \cr<br /> \vdots \cr<br /> k_{i} \cr<br /> }[/tex]

I understand that N is the level of the cubes, but what does k equal?

[...]

If you take the supp value of a function on a given cube, and multiply it by the volume of you cube, you get volume again??
Let's see if we can work this out.

What does k do in your dyadic cube relation? What does it act on?

As for your second question, what is the supremum of a function in this case?

I think the answers are in asking those questions. :wink:
 
Well, from what I understand, the supf(x) is the maximum value of the function on a given cube, which in single variable gives a height to the rectangle. In multiple dimensions, I can't "see" it. I assume that this also gives.

As for what k means, I guess it means the number of cubes under the graph?

I can't find any other sources explaining this, perhaps my book just has a weird way of defining the multiple integral.
 

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