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Disintegration theory for von Neumann algebras

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Measure theoretic results<br />

Be<strong>for</strong>e the proof of the theorem, it will be convenient to prove a few lemmas. The following notation<br />

will be usefull. If (X, Ω, µ) is a measure space, define µ ∗ on all subsets A of X by<br />

µ ∗ (A) = inf{µ(S ) | A ⊆ S, S ∈ Ω}.<br />

It is obvious that µ ∗ is monotone in the sense that if A ⊆ B ⊆ X then µ ∗ (A) ≤ µ ∗ (B).<br />

Lemma A.20. For any A ⊆ X there is S ∈ Ω containing A such that µ ∗ (A) = µ(S ).<br />

Proof. Let S n be a measurable set containing A such that µ(S n ) ≤ µ ∗ (A) + 1 n , and let S = ⋂ n S n .<br />

Then S ∈ Ω and µ(S ) ≤ µ ∗ (A). Since A ⊆ S , it is clear that µ ∗ (A) ≤ µ(S ).<br />

□<br />

Lemma A.21. If A 1 ⊆ A 2 ⊆ · · · is an ascending chain with union A, then µ ∗ (A) = lim µ ∗ (A n ).<br />

Proof. Obviously lim µ ∗ (A n ) ≤ µ ∗ (A), since each A n ⊆ A. Choose measurable sets S n such that A n ⊆<br />

S n and µ ∗ (A n ) = µ(S n ) as garuanteed by the previous lemma. Let T n = ⋂ k≥n S k . Then A n ⊆ T n ⊆ S n ,<br />

and hence µ(T n ) = µ(S n ) = µ ∗ (A n ). Notice that (T n ) is an ascending chain of measurable sets with<br />

union T containing A. Thus µ ∗ (A) ≤ µ(T). And also µ(T) = lim µ(T n ) = lim µ ∗ (A n ). This proves the<br />

lemma.<br />

□<br />

Lemma A.22. Suppose µ is complete and finite. If A ⊆ X, and <strong>for</strong> each m ∈ N there is a measurable<br />

subset C m of A such that µ ∗ (A) − 1 m ≤ µ(C m), then A is measurable.<br />

Proof. First choose S ∈ Ω such that A ⊆ S and µ ∗ (A) = µ(S ). Let C = ⋃ m C m . Then C is a<br />

measurable subset of A and µ(C) ≥ µ ∗ (A) by the assumptions on C m . Also µ(C) ≤ µ(S ) = µ ∗ (A) and<br />

C ⊆ A ⊆ S , and hence µ(S \ C) = 0, since µ is finite. So A is the union of the measurable set C and<br />

the null set A \ C.<br />

□<br />

We are almost ready to prove Theorem A.19, but first we will observe that the proof can be reduced<br />

to a simpler case. Let A be an analytic subset of X. Since K n is analytic (being compact) the set<br />

A ∩ K n is analytic. Since A = ⋃ n(A ∩ K n ), it will suffice to prove the theorem in the case where X is<br />

compact and of finite measure. These assumptions are in <strong>for</strong>ce during the following two proofs.<br />

Lemma A.23. Let A be an analytic subset of X. There is a compact Polish space Y, a descending<br />

sequence (Y n ) of σ-compact subsets of Y with intersection B and a continuous map f : Y → X such<br />

that f (B) = A.<br />

Proof. Let R n denote a copy of the one-point compactification of R <strong>for</strong> each n ∈ N. Let Z = ∏ ∞<br />

n=1<br />

R n<br />

be the countable product of the one-point compactifications. We may view N N as a subset of Z. Let<br />

Y = Z × X. Then Y is a compact Polish space (X is assumed to be compact).<br />

As mentioned after Definition A.16 there is a continuous map g : N N → X with image A. Let B<br />

denote the graph of g in Z × X, and let f : Z × X → X be the projection. Then f is continuous and<br />

f (B) = A.<br />

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