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Measure, Integration & Real Analysis, 2021a

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268 Chapter 9 <strong>Real</strong> and Complex <strong>Measure</strong>s<br />

(n+1 ⋃<br />

ν<br />

j=k<br />

) ( ⋃ n<br />

A j = ν<br />

≥<br />

j=k<br />

(<br />

a −<br />

= a −<br />

) ( ( ⋃ n<br />

A j + ν(A n+1 ) − ν<br />

n<br />

∑<br />

j=k<br />

n+1<br />

∑<br />

j=k<br />

j=k<br />

1<br />

) (<br />

2 j + a − 1 )<br />

2 n+1 − a<br />

1<br />

2 j ,<br />

A j<br />

) ∩ An+1<br />

)<br />

where the first line follows from 9.7(b) and the second line follows from 9.25 and<br />

9.26. We have now verified that 9.26 holds if n is replaced by n + 1, completing the<br />

proof by induction of 9.26.<br />

The sequence of sets A k , A k ∪ A k+1 , A k ∪ A k+1 ∪ A k+2 ,...is increasing. Thus<br />

taking the limit as n → ∞ of both sides of 9.26 and using 9.7(c) gives<br />

( ⋃ ∞<br />

9.27 ν<br />

Now let<br />

j=k<br />

A j<br />

)<br />

≥ a − 1<br />

2 k−1 .<br />

∞⋂ ∞⋃<br />

A = A j .<br />

k=1 j=k<br />

The sequence of sets ⋃ ∞<br />

j=1 A j , ⋃ ∞<br />

j=2 A j ,...is decreasing. Thus 9.27 and 9.7(d) imply<br />

that ν(A) ≥ a. The definition of a now implies that<br />

ν(A) =a.<br />

Suppose E ∈Sand E ⊂ A. Then ν(A) =a ≥ ν(A \ E). Thus we have<br />

ν(E) =ν(A) − ν(A \ E) ≥ 0, which proves (b).<br />

Let B = X \ A; thus (a) holds. Suppose E ∈Sand E ⊂ B. Then we have<br />

ν(A ∪ E) ≤ a = ν(A). Thus ν(E) =ν(A ∪ E) − ν(A) ≤ 0, which proves (c).<br />

Jordan Decomposition Theorem<br />

You should think of two complex or positive measures on a measurable space (X, S)<br />

as being singular with respect to each other if the two measures live on different sets.<br />

Here is the formal definition.<br />

9.28 Definition singular measures; ν ⊥ μ<br />

Suppose ν and μ are complex or positive measures on a measurable space (X, S).<br />

Then ν and μ are called singular with respect to each other, denoted ν ⊥ μ, if<br />

there exist sets A, B ∈Ssuch that<br />

• A ∪ B = X and A ∩ B = ∅;<br />

• ν(E) =ν(E ∩ A) and μ(E) =μ(E ∩ B) for all E ∈S.<br />

<strong>Measure</strong>, <strong>Integration</strong> & <strong>Real</strong> <strong>Analysis</strong>, by Sheldon Axler

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