Proving Null Sets: Lebesgue Measure and Lipschitz Functions

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Discussion Overview

The discussion revolves around proving properties of null sets in the context of Lebesgue measure and Lipschitz functions. Participants explore two main questions: the measure of the square of a null set and the measure of the image of a set under a Lipschitz function. The scope includes theoretical proofs and mathematical reasoning.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant proposes proving that if $$m^*(E)=0$$, then $$m^*(E^2)=0$$, suggesting a method involving the definition of outer measure and covering sets.
  • Another participant suggests that posting their work would facilitate better critique and feedback from others.
  • A participant shares their proof attempt, noting a flaw in their reasoning regarding inequalities and expressing uncertainty about generalizing their proof to the entire real line.
  • One participant introduces the idea that for a K-Lipschitz function, the measure of the image of an interval should satisfy $$m^*(f(I))≤K\ell(I)$$, but expresses uncertainty about how to develop this argument further.
  • A later reply discusses a revised approach to the first proof, emphasizing the use of bounded intervals and cascading inequalities to demonstrate that the union of null sets remains a null set.
  • The same participant expresses satisfaction with their revised proof while remaining open to suggestions for improvement.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the proofs presented. There are multiple competing approaches and some unresolved uncertainties regarding the correctness of the inequalities used in the arguments.

Contextual Notes

Participants note limitations in their proofs, including assumptions about the intervals used and the need for careful handling of inequalities. There is also mention of the challenge in generalizing results beyond specific cases.

TheBigBadBen
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I have a final coming up, so I thought I'd post some of my review questions as a way of checking my work. I think I have a working answer for this one, but I'm not sure it's totally right. I'll post it upon request.

At any rate, two related questions:

(1)
Suppose that $$E \subset \mathbb{R}$$ is a set such that $$m^*(E)=0$$. Prove that $$m^*(E^2)=0$$, where $$E^2 = \{x^2|x\in E\}$$

(2)
Suppose that $$f:\mathbb{R}\rightarrow\mathbb{R}$$ is a K-Lipschitz function. Show that $$m^*(E^2)≤Km^*(E)$$ for all $$E\subset\mathbb{R}$$

Note that $$m^*$$ refers to the Lebesgue outer-measure.
 
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I think it would be better if you post your work, and then our helpers can give you a critique.

You are more likely to get help this way rather than to request proofs be given to which you can compare your work. :D
 
MarkFL said:
I think it would be better if you post your work, and then our helpers can give you a critique.

You are more likely to get help this way rather than to request proofs be given to which you can compare your work. :D

Fair enough. My proof for the first:

We define the outer measure by

$$m^*(E)=inf \left\{ \sum_{n=1}^{∞}\ell(I_n):E\subset \cup_{n=1}^{∞} I_n \right\}$$

Where each $$I_n$$ is an open interval. Since the outer measure of E is 0, we can state that for any $$\epsilon >0$$, we can equivalently find a collection of sets {I_n} so that the sum of their lengths is less than $$\epsilon$$ and such that E is contained in their union.

We begin with the case that $$E\subset [0,\infty)$$

Consider any $$\epsilon>0$$. There exists a collection of sets {I_n} so that the sum of their lengths is less than $$\sqrt{\epsilon}$$ and such that E is contained in their union. We note that for any $$x\in I_n$$, we have $$x^2 \in I_n^2$$. It follows that $$E^2\subset \cup_{n=1}^{∞} I_n^2$$.

Now, for $$I_n=(a_n,b_n)$$, we note that $$I_n^2=(a_n^2,b_n^2)$$, from which it follows that
$$\ell(I_n^2)=b^2-a^2 = (b - a)(b + a) \geq (b - a)^2 = \ell(I_n)^2$$
^^^^
Not as useful as I thought...It follows that$$\sum_{n=1}^{\infty}\ell(I_n^2)≤$$
$$\sum_{n=1}^{\infty}\ell(I_n)^2≤$$ <--- this is wrong
$$ \left[ \sum_{n=1}^{\infty}\ell(I_n) \right]^2<$$
$$\left[ \sqrt{\epsilon} \right]^2=\epsilon$$We conclude that for $$E\subset [0,\infty)$$, $$m^*(E^2)=0$$.

Takes a while to type up...
Any critique so-far? Nit-picking is welcome here!
I think I should be able to generalize this relatively easily to the entire real line, but if anybody has a cleverer method I readily welcome that.

**So I found a flaw in my own proof, where I try to establish the inequality. Ends up, I have it going the wrong way. I need to find a way to fix that.**
 
Last edited:
My idea for the proof for the other one is similar. The idea is that if f is Lipschitz, then for any interval I, we should have
$$m^*(f(I))≤K\ell(I)$$
Still not sure how to put it all together.
 
Figured out the solution to my problem. I had tried to come up with some sort of inequality, and wrote:

TheBigBadBen said:
We begin with the case that $$E\subset [0,\infty)$$...

Now, for $$I_n=(a_n,b_n)$$, we note that $$I_n^2=(a_n^2,b_n^2)$$, from which it follows that
$$\ell(I_n^2)=b^2-a^2 = (b - a)(b + a) \geq (b - a)^2 = \ell(I_n)^2$$

Which, as you can see later, is the wrong sort of inequality for what I wanted to do. As it ends up, the easier thing to do is to start by looking at bounded intervals, eventually noting that the arbitrary union of null sets is a null set. So, I'd have something like:

Define $$E_N = E \cap [0,N], N\in \mathbb{N}$$. We note that
$$I_n^2=(a^2,b^2)$$, and
$$\ell(I_n^2)=b^2-a^2 = (b - a)(b + a) \leq 2N(b-a) = 2N\ell(I_n)$$

From there, it's easy enough to use cascading inequalities to show that an interval covering $$\{I_n\}_{n\geq 1}^2$$ of $$E_N^2$$ can be made arbitrarily small. Following a similar logic, we can do this for an integer $$-N$$, defining

$$E_{-N} = E \cap [-N,0], N\in \mathbb{N}$$

And producing the same result. Since $$E^2$$ is the union of all sets $$E_N^2$$, we deduce that $$E^2$$ is the countable union of null sets, and hence is itself a null set.

I'm pretty happy with this proof, but if someone can offer something better, I'm listening.
 

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