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Post Posted: Dec 12, 2005, 11:31 am • # 1 


a measurable E\subset R is said to have density d at x if the Lim_{h\rightarrow 0}\frac{m(E\cap [x-h,x+h])}{2h}=d.define \phi(E) the set at which E has density 1.prove that m(E\Delta \phi(E))=0.
 
 
Post Posted: Dec 12, 2005, 12:57 pm • # 2 


This is an immediate corollary of the Lebesgue theorem on the differentiation of the integral: if f is locally integrable, then

\lim_{h\to0}\frac1{2h}\int_{x-h}^{x+h}f=f(x) almost everywhere.

Just apply this theorem to the characteristic function of E.

Do you want a proof of the differentiation of the integral theorem? Or are you trying to prove the density without quoting that theorem?


Last edited by Kent Merryfield on Dec 12, 2005, 5:18 pm, edited 1 time in total.
 
 
Post Posted: Dec 12, 2005, 4:38 pm • # 3 


Kent Merryfield wrote:
This is an immediate corollary of the Lebesgue theorem on the differention of the integral...

where might I find the statement of that theorem? do you know if it is in bartle or royden?
 
 
Post Posted: Dec 12, 2005, 4:40 pm • # 4 


(by the way, a proof that does not rely on the theorem that kent mentioned is in "Measure and Category" by Oxtoby page 17)
 
 
Post Posted: Dec 12, 2005, 5:17 pm • # 5 


I have a 2nd edition of Royden: the key chapter is Chapter 5, Differentiation. The result is never quite stated in exactly that way, but the gist of it is in that chapter.

I don't have a copy of that Bartle, so I can't help you there. I know it's a skinny book, so I don't know what's included and what isn't.

In Wheeden and Zygmund, it's given in \mathbb{R}^n generality as Thoerem 7.2 (p.98) and the proof and several corollaries (including the statement on points of density that started this topic) last for the next 10 pages. This proof proceeds by way of the Hardy-Littlewood maximal function, which is my preferred proof.

Somewhere, somehow, there has to be a "covering lemma" (Vitali, or some other) in the proof of this theorem.
 
 
Post Posted: Dec 31, 2005, 3:05 pm • # 6 


I'll use Vitali's Theorem (discussed on the forum), as Kent suggested. I think we should restate the problem first, since it seems a bit awkward :):

Let E be a measurable subset of the real line with positive measure, and let M be the set of points of E where the density is 1. Then m(E\setminus M)=0.

For x\in E and h>0, define \phi(x,h)=\frac{m(E\cap[x-h,x+h])}{2h}. Let A_t\ (0<t<1) be the set of points x of E which satisfy \liminf_{h\to 0}\phi(x,h)<t. It's easy to see that A_t is measurable. If we fix an arbitrary t\in(0,1) and prove that m(A_t)=0, we're done. We can also assume WLOG that all the measures involved are finite, i.e. m(E)<\infty. In fact, we can assume that E is bounded.

For every x\in A_t, we can find a sequence (h^x_n)_{n\ge 1} which decreases towards 0 such that \phi(x,h^x_n)<t,\ \forall n\ge 1. Let I^x_n=[x-h^x_n,x+h^x_n],\ \forall x\in A_t,\ \forall n\ge 1. If we assume that A_t has positive measure, we'll be able to find an interval I such that m(A_t\cap I)>tm(I). Now \Delta', the subcollection of \Delta=(I^x_n)_{x,n} consisting of those I^x_n which are contained in I, Vitali-covers A_t\cap I. This means that we can find a disjoint sequence I_1,I_2,\ldots\in \Delta' such that m((A_t\cap I)\setminus\bigcup_{j\ge 1}I_j)=0, according to Vitali's Theorem. However, we have m(A_t\cap I_j)<tm(I_j) and the I_j's are disjoint, so tm(I)<m(A_t\cap I)<t\sum_jm(I_j)\le tm(I), contradiction.
 
 
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