Question about absolutely continuous measures

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Homework Help Overview

The discussion revolves around constructing a measure \(\lambda\) that is absolutely continuous with respect to a sequence of sigma-finite measures \(v_1, v_2, v_3, \ldots\). The original poster is exploring the implications of sigma-finiteness and the conditions necessary for absolute continuity.

Discussion Character

  • Exploratory, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to create a weighted measure but is concerned about the constraints of sigma-finiteness. Another participant introduces a theorem regarding the existence of a probability measure related to a sigma-finite measure, prompting questions about the relationship between the original measures and the proposed measure.

Discussion Status

The discussion is currently exploring different approaches to the problem, with one participant providing a theorem as a potential pathway. However, there is a lack of clarity regarding how the original measures relate to the proposed measure, indicating ongoing inquiry and exploration.

Contextual Notes

The thread has been temporarily locked, suggesting that the question may be part of a take-home exam, which could impose additional constraints on the discussion.

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Homework Statement



Suppose we're given some sigma-finite measures v1, v2, v3,...

I want to construct \lambda such that vn is absolutely continuous w.r.t. \lambda for all n.

2. The attempt at a solution

So far, I've tried thinking of making an infinite weighted (weighted by 2^(-n)). The problem is that sigma-finiteness requires that I can't divide vn(E) by the measure of the entire space. So, I need to find a more clever way of doing this.
 
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There's a handy theorem:
Given \sigma-finite measure \mu, there exists a probability measure \lambda such that
\mu(A)=0 \mbox{ iff } \lambda(A)=0
Proof:
Let {A_n} be a sequence of measurable sets such that \Bigcup A_n=X and \mu(A)<\infty. Set
f=\sum_{k=1}^\infty 2^{-k}\frac{\chi_{A_k}}{1+\mu(A_k)}
From this we can obtain finite measure \mu_f. I leave to you showing it satisfies the hypothesis.
Good luck!
 
I don't quite understand this solution. How are all of the original measures v1, v2, ... related to this mu?

I need to show that all of those initial measures are absolutely continuous w.r.t. to mu.
 
Thread locked temporarily. This may be a question on a take-home exam.
 

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