Proving Countable Additivity of a Measure on a Family of Sets

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Homework Help Overview

The discussion revolves around proving that a measure defined on a family of sets is countably additive, given that it is finitely additive and countably subadditive. The context involves concepts from measure theory.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationship between finite sums and infinite sums, questioning how to demonstrate the equality of measures for unions of sets. There are discussions about the implications of limits of partial sums and the properties of measures.

Discussion Status

The conversation is ongoing, with various participants providing insights and clarifications. Some have suggested that the problem may be nearing a solution, while others are still grappling with specific statements and definitions related to sequences and measures.

Contextual Notes

There are mentions of potential complications when dealing with infinite measures and the need for clarity regarding the properties of sequences in measure theory. Participants express uncertainty about certain statements and the implications of their proofs.

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Homework Statement


Consider a measure f mapping from a family of sets A to [0,infinity]

Let the measure be finitely additive and countable subadditive.

Prove that f is countably additive on A.


The Attempt at a Solution


To show equality from an inequality we do ie.

a<=b>=a so a=b

I tried this strategy with measures and sets but couldn't see it through. I might need to construct another set but don't see what to construct.
 
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Isn't this just the fact that a countable sum is the limit of its finite subsums (by definition)?

Or, in the thing you're doing with a<=b<=a (which is what you should have written, rather than writing b>=a twice), a is the infinite sum of the measures, and b is the measure of the infinite union of the sets. What you need to do is show b=>a-e for any e, which is just saying something about sums being limits of partial subsums.
 
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I prefer to show reverse inequality.
 
This would show the reverse inequality, if by that you mean it would show that a<=b<=a: one is clear b<=a, and the other would show that b>a-e for any e. thus b=>a.
 
subtractions are avoided when dealing with measures because the element of infinity is in the set which cannot be subtracted. So equivalently show b+e>a for any e? To show b>=a
 
Uh, what on Earth does that mean? Just treat the case of a collection of sets having infinite measure separately if you must, but it is not important - the sequence either converges or diverges.

Look, I have a sequence of measurable (i.e. of finite measure) sets

S_1, S_2, S_3,...

And I know that m(S_1 u S_2 u S_3 ...) => m(S_1 u S_2 ... u S_n)

for any n. Now do you understand why this is just a statement about the sum of a series? I am *not* subtracting any measures, the -e is purely from what it means for an infinite sum to be the limit of its partial subsums.OK, let's put it this way: if any of the S_i has infinite measure, so does the union and there is nothing to prove. So suppose each S_i has finite measure.

Let X_n be the union of S_1,..,S_n, and let X be the union of all the S_i

Then m(X_n)=m(S_1)+..+m(S_n) by hypothesis, and

What do we know? m(X) is less than or equal to the limit of m(X_n) by assumption, and m(x) is greater than or equal to m(X_n) for all n - it's just a question about sequences:

suppose that a_n tends to a and that b satisfies a<=b and b=>a_n for all n, then b=a (note this even includes the case when a is infinity.
 
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matt grime said:
m(x) is greater than or equal to m(X_n) for all n - it's just a question about sequences:

suppose that a_n tends to a and that b satisfies a<=b and b=>a_n for all n, then b=a (note this even includes the case when a is infinity.

I am unsure about the statement 'b=>a_n for all n'. Do you mean b>a_n for any finite n?

I am a bit rusty with proof of infinite sequences and series.
 
I think I see where you are getting at. You have laid out most of the solution in post 6 and recquires one more step or so to complete it. All I have to prove is that m(x) is greater than or equal to m(X_n) for all n.
 
In fact to prove 'm(X) is greater than or equal to m(X_n) for all n.' All one needs is the monatonicity of measure since X_n is a subset of X for all n so m(X_n)<=m(X) for all n. => lim(n->infinity) m(X_n)<=m(X)

but m(X)<= lim(n->infinity) m(X_n) as given so m(X)=lim(n->infinity) m(X_n) = infinite series as each partial sum is a finite series. Take n-> infinity and you get an infinite series.

The assumption in this is that all sets S_i in X are disjoint and rightly so they should for equality. It seems like this is a nice problem to test your knowledge of infinite series and sequences.
 
  • #10
pivoxa15 said:
I am unsure about the statement 'b=>a_n for all n'. Do you mean b>a_n for any finite n?

I meant what I wrote. And how can there be anything other than a 'finite n' since n is an element of the natural numbers?

I am a bit rusty with proof of infinite sequences and series.

That is a bit worrying if you're doing measure theory.
 
  • #11
This statement is correct?

'since X_n is a subset of X for all n so m(X_n)<=m(X) for all n implies lim(n->infinity) m(X_n)<=m(X)'
 
  • #12
Matt, just an observation. I never recall you make a post telling me I am right. Is not replying your way of saying that there is nothing wrong with the post?
 
  • #13
What do you want me to say?

"since X_n is a subset of X for all n so m(X_n)<=m(X) for all n"

is obviously true by the definition of measure.

m(X_n) is an increasing sequence of real numbers bounded above be m(X), so of course the limit of m(X_n) is less than m(X), again by the basic definitions of analysis.

Does that ease your mind?
 
  • #14
If its true then it would be good to just say so. No further explanation is needed. I should be grateful that you're here in the first place.
 

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