Proving Compact Set Exists with m(E)=c

the_dane
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Homework Statement


Suppose E1 and E2 are a pair of compact sets in Rd with E1 ⊆ E2, and let a = m(E1) and b=m(E2). Prove that for any c with a<c<b, there is a compact set E withE1 ⊆E⊆E2 and m(E) = c.

Homework Equations


m(E) is ofcourese referring to the outer measure of E

The Attempt at a Solution


I know that for d=1 measurable subset of [0,1]. Is it worth it to look at the measure m(E∩[0,t]) as function of t?
I really don't know how to tackle this one
 
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the_dane said:

Homework Statement


Suppose E1 and E2 are a pair of compact sets in Rd with E1 ⊆ E2, and let a = m(E1) and b=m(E2). Prove that for any c with a<c<b, there is a compact set E withE1 ⊆E⊆E2 and m(E) = c.

Homework Equations


m(E) is ofcourese referring to the outer measure of E

The Attempt at a Solution


I know that for d=1 measurable subset of [0,1]. Is it worth it to look at the measure m(E∩[0,t]) as function of t?
I really don't know how to tackle this one

The name of the subject is "measure" theory, not "measurement" theory.
 
the_dane said:
I know that for d=1 measurable subset of [0,1]. Is it worth it to look at the measure m(E∩[0,t]) as function of t?
Yes, I think that is the way to do it.
 
Ray Vickson said:
The name of the subject is "measure" theory, not "measurement" theory.
Fixed...
 
What does it mean for ##E_1## to be compact? Does anything change if you reduce the task to ##E_2## as topological space? What do you know about the closure of finitely many open sets of finite mass? (You probably won't need to regard ##d## at all.)
 
Samy_A said:
Yes, I think that is the way to do it.
Could you help a bit along the way?
 
I think you may need to exploit continuity of the measure (w.r.t. inclusion).
 
Instead of an interval you have to use a d-dimensional cube with side t. Let's call that cube C(t).
Now define the function ##f(t)=m(E_1\cup(E_2\cap C(t))## on a well chosen interval ##[x,y]## of ##\mathbb R## so that ##f(x)=a## and ##f(y)=b##.

Remember that ##E_1## and ##E_2## are compact, and thus bounded.

EDIT: not to discourage you, but it does look like quite a difficult exercise. I think it should work with the function ##f## given above though.

EDIT2: maybe the way @fresh_42 suggests will be easier.
 
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Samy_A said:
EDIT: not to discourage you, but it does look like quite a difficult exercise. I think it should work with the function ff given above though.

I know what you mean, but I want to learn " the hard way" in order to understand it better. I am trying to teach myself measure theory so for me it's not "just homework".

Samy_A said:
Instead of an interval you have to use a d-dimensional cube with side t. Let's call that cube C(t).
Now define the function ##f(t)=m(E_1\cup(E_2\cap C(t))## on a well chosen interval ##[x,y]## of ##\mathbb R## so that ##f(x)=a## and ##f(y)=b##.

Remember that ##E_1## and ##E_2## are compact, and thus bounded.
I can't see how to apply the last information?
 
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  • #10
the_dane said:
I can't see how to apply the last information?
First thing to do is to find ##x## and ##y## satisfying ##f(x)=a,f(y)=b##.
I think that ##x## is easy, but for a arbitrary ##E_2##, it is not even sure that ##y## exists. But ##E_2## being compact (and thus bounded) makes it easy to find some ##y## large enough to satisfy ##f(y)=b##.

Next challenge will be to prove that ##f## is continuous.
Note that ##f## is a monotone function: ##s \leq t \Rightarrow f(s) \leq f(t)##

Set ##E(t)=E_1\cup(E_2\cap C(t))##
Verify that if ##s \leq t##, ##E(t)\setminus E(s) \subset C(t) \setminus C(s)##

Also remember that if ##A \subset B##, then ##m(B \setminus A)=m(B)-m(A)## (assuming that A and B are both measurable of course).
 
  • #11
Samy_A said:
Also remember that if ##A \subset B##, then ##m(B \setminus A)=m(B)-m(A)## .

Can I use this information to conclude then?
 
  • #12
the_dane said:
Can I use this information to conclude then?
I'm not sure I understand your question. I used that in the final step proving that the function ##f## is continuous.
 
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