Lebesgue measure proof for a set in R^2

In summary, the proof provided is not valid as the implication used is not true. A possible solution is to use the series \sum_{n=1}^{\infty}n^{-2} to bound the given integral.
  • #1
rustyjoker
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Homework Statement



Prove (using Lebesgue outer measure) that $$m_{2}^{*}(\{(x,y)\in\mathbb{R}^{2}\colon x>1,0<y<x^{-2}\})=m_{2}^{*}(A)<\infty$$

The Attempt at a Solution



I'm not sure if this is valid proof but I'd have done it like this:
$$\int_{1}^{k}\left|x^{-2}\right|\, dx <\infty \forall k\in\mathbb{N} \Rightarrow \int_{[1,\infty[}\left|x^{-2}\right|\, dx<\infty \Rightarrow A $$is measurable and$$ m_{2}^{*}(A)=\int_{1}^{\infty}x^{-2}\, dx<\infty.\qquad\square$$What else should I include to make sure the proof is valid?
 
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  • #2
rustyjoker said:
I'm not sure if this is valid proof but I'd have done it like this:
$$\int_{1}^{k}\left|x^{-2}\right|\, dx <\infty \forall k\in\mathbb{N} \Rightarrow \int_{[1,\infty[}\left|x^{-2}\right|\, dx<\infty$$
No, this implication is not valid. If you replace [itex]x^{-2}[/itex] with [itex]x^{-1}[/itex], then your left hand inequality would still be true, but the right hand inequality would be false.

Similarly, the partial sums of an infinite series may all be finite, but that doesn't imply that the series converges. However, it is true that the series [itex]\sum_{n=1}^{\infty}n^{-2}[/itex] converges. Can you use this series to bound your integral?
 

FAQ: Lebesgue measure proof for a set in R^2

What is the Lebesgue measure for a set in R^2?

The Lebesgue measure for a set in R^2 is a way to measure the size or volume of a set in two-dimensional space. It is based on the concept of measurable sets and is a more general measure than the traditional length or area measures.

How is the Lebesgue measure calculated for a set in R^2?

The Lebesgue measure is calculated by dividing the set into smaller, measurable subsets and summing their measures. In the case of a set in R^2, this can be done by dividing the set into rectangles and calculating their areas.

What is the significance of the Lebesgue measure in mathematics?

The Lebesgue measure is significant because it provides a more comprehensive way to measure sets in higher dimensions. It also has important applications in analysis, probability, and other areas of mathematics.

Can the Lebesgue measure be extended to sets in higher dimensions?

Yes, the Lebesgue measure can be extended to sets in higher dimensions, such as three-dimensional space. This is known as the Lebesgue-Borel measure and is based on the same principles as the two-dimensional Lebesgue measure.

Are there any alternative measures to the Lebesgue measure for sets in R^2?

Yes, there are other measures that can be used for sets in R^2, such as the Jordan measure and the Hausdorff measure. However, the Lebesgue measure is often preferred due to its flexibility and applicability to a wider range of sets.

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