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Monotone convergence for the measure integral

Statement

Let (X,Σ,μ) be a measure space and let fn:X→[0,∞] be measurable with fn≤fn+1 and fn→f pointwise. Then ∫fn dμ↑∫f dμ, including infinite values. Also, for measurable f,g≥0, ∫(f+g) dμ=∫f dμ+∫g dμ. For every c≥0, ∫cf dμ=c∫f dμ; the integral is also linear on real integrable functions.

Facts & Assumptions

Given: A measure space, its nonnegative integral, and a pointwise increasing measurable sequence.

[F1]

Measure space and integral: nonnegative integrals are suprema over measurable simple minorants; monotonicity follows by inclusion of the minorant sets.

[F2]

Finite sums and finite products, by recursion: finite sums of simple-function level values can be regrouped.

[F3]

Complete ordered field (least-upper-bound property): bounded nonempty subsets of R have suprema.

[A1]

Countable additivity of μ is part of the measure-space definition.

[A2]

The sequence is measurable and satisfies 0≤fn≤fn+1 and fn→f pointwise.

[F4]

Arithmetic and lattice operations preserve measurability whenever they are defined: nonnegative extended sums, positive scalar multiples and positive/negative parts are measurable under the defined extended arithmetic.

Proof

Given: A measure space and a pointwise increasing sequence 0≤fn↑f.

1.1F1A2

For every finite real a, {f>a}=⋃n{fn>a}, since the sequence increases to f. These threshold sets generate the order-topology Borel sigma-algebra in [F1], so f is measurable. The simple minorants of fn are also minorants of fn+1, so their integral suprema increase. Each is at most ∫f; hence L:=lim⁡n∫fn exists in [0,∞] and L≤∫f.

2.1F1F2F3A1A2step 1.1

Fix a nonnegative simple s≤f and 0<t<1. The measurable sets An:={fn≥ts} increase and cover {s>0}, since fn(x)→f(x)≥s(x)>ts(x) there. Write s=∑j=1mcj1Bj in disjoint level form. For each cj>0, An∩Bj↑Bj; countable additivity, applied to successive disjoint differences, gives μ(An∩Bj)↑μ(Bj). The finite-sum definition [F2] then gives ∫s1An↑∫s. As fn≥ts1An, monotonicity and homogeneity of the simple integral imply L≥t∫s. Let t↑1 and take the supremum over s≤f; [F1, F3] give L≥∫f. Together with step 1.1 this proves monotone convergence.

3.1F1F2F4A1step 2.1

For nonnegative measurable f, define sn:=2−n∑k=1n2n1{f≥k2−n}. Each sn is a finite-valued measurable simple function. Every threshold counted in sn is also counted at the even-index threshold in sn+1, so sn≤sn+1. If f(x)<∞, once n>f(x) the mesh gives 0≤f(x)−sn(x)<2−n; if f(x)=∞, then sn(x)=n. Thus sn↑f. Define tn:=2−n∑k=1n2n1{g≥k2−n}; the same threshold and mesh argument shows tn↑g. By [F4], f+g and sn+tn are measurable with the defined nonnegative extended addition. Apply the monotone-convergence conclusion of step 2.1 to sn, tn, and sn+tn. Refine their finitely many level sets to the finite partition of intersections Bj∩Ck; regrouping the resulting sums by [F2] gives ∫(sn+tn)=∫sn+∫tn. Passing to the three monotone limits proves ∫(f+g)=∫f+∫g.

4.1F1F2step 3.1∎

For c>0, simple minorants of cf are exactly c times simple minorants of f, so the supremum definition gives ∫cf=c∫f; for c=0 both sides are zero. If an integrable real function is expressed as u−v with u,v≥0 integrable, the value ∫u−∫v is independent of the expression: u−v=u′−v′ implies u+v′=u′+v, and step 3.1 equates the finite sums of integrals. The definition using positive and negative parts is one such expression, so signed integrals are linear.

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