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The common submeasure and its bounded density

Statement

Assume the Axiom of Choice (AC). Let ρ and σ be finite positive measures on a measurable space (E,F). Put λ=ρ+σ. Choose nonnegative measurable Radon–Nikodym density representatives f=dρ/dλ and g=dσ/dλ, modified on a λ-null set so that f+g=1 everywhere. Then η(A):=∫Amin⁡{f,g} dλ(A∈F) is the greatest measure dominated by both ρ and σ. The measurable function a:={min⁡{1,g/f},f>0,1,f=0 takes values in [0,1] and is a version of dη/dρ. Here η≤ρ means η(A)≤ρ(A) for every A∈F.

Facts & Assumptions

Given: AC, finite positive measures ρ,σ on (E,F), and λ=ρ+σ.

[A1]

The Axiom of Choice: AC says that every family of nonempty sets has a choice function.

[F1]

Nonnegative scalar multiples and countable weighted sums of measures are measures: a finite sum of measures is a measure. Finite, sigma-finite, and semifinite measures: a finite measure is sigma-finite, since the whole space is a one-set finite-measure cover.

[F2]

A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density, The Radon-Nikodym derivative as an almost-everywhere equivalence class, and Absolute continuity of a signed or complex measure with respect to a positive measure: under AC, if μ,ν are finite positive measures and ν≪μ, there is a real-valued measurable density whose integral on every measurable set recovers ν, unique μ-almost everywhere. Indeed, the constant exhaustion En=E meets the theorem's hypotheses, since a positive measure equals its total variation.

[F3]

A sigma-finite positive measure has a nonnegative Radon–Nikodym density version: under AC, if μ,ν are sigma-finite positive measures and ν≪μ, the class dν/dμ has a finite-valued nonnegative measurable representative.

[F4]

The indefinite integral of a nonnegative measurable function is a measure and Measures on sigma-algebras: if h≥0 is measurable, then A↦∫Ah dλ is a measure.

[F5]

Monotonicity and nonnegative homogeneity of the nonnegative integral and Monotone convergence for the integral: the nonnegative integral is monotone, and increasing limits pass through it.

[F6]

Every nonnegative measurable function is the increasing limit of simple measurable functions and Integrating against a Radon-Nikodym derivative recovers integration against the measure: a nonnegative measurable function is an increasing limit of simple functions; for simple s, ∫s dρ=∫sf dλ when ρ is finite positive and f=dρ/dλ.

[F7]

Closure properties of measurable functions used by the integral and Extended-real-valued measurable functions: finite sums, scalar multiplies, pointwise infima, and Borel preimages of measurable functions are measurable.

[F8]

Additivity of the nonnegative Lebesgue integral: on any measure space, the integral of the sum of two nonnegative measurable functions is the sum of their integrals. Applied to indicator-restricted functions, this also holds for integrals over every measurable set.

Proof

Given: AC and the finite positive measures ρ,σ.

1.1A1F1F2F3F7F8givenchoose

The measure λ=ρ+σ is finite, and ρ,σ≪λ. By [A1], [F1]–[F3], choose finite-valued nonnegative measurable representatives f=dρ/dλ and g=dσ/dλ. For every B∈F, ∫B(f+g) dλ=ρ(B)+σ(B)=λ(B)=∫B1 dλ. Uniqueness in [F2] gives f+g=1 λ-almost everywhere. On the measurable null set where this fails, replace f by 0 and g by 1; the modified functions remain representatives and now satisfy f+g=1 everywhere.

2.1F4F5F7step 1.1

The function h=min⁡{f,g} is measurable and nonnegative by [F7]. By [F4], η(A)=∫Ah dλ defines a measure. Since h≤f,g, monotonicity in [F5] and the density identities in step 1.1 give η(A)≤ρ(A) and η(A)≤σ(A) for every A. In particular, η(E)≤ρ(E)<∞, so η is finite.

3.1A1F1F2F3F5F6F7F8step 1.1step 2.1givenchoose

Let θ be any measure with θ≤ρ and θ≤σ. It is finite because θ(E)≤ρ(E)<∞, and θ≪λ: if λ(B)=0, nonnegativity gives ρ(B)=0, and hence θ(B)=0. By [A1], [F1]–[F3], choose a finite-valued nonnegative density k=dθ/dλ. For each integer n≥1, the measurable set En={k≥f+1/n} satisfies θ(En)=∫Enk dλ≥∫Enf dλ+λ(En)/n=ρ(En)+λ(En)/n. Since θ(En)≤ρ(En)<∞, this forces λ(En)=0. Thus {k>f}=⋃n≥1En is null; the same argument using θ≤σ gives k≤g almost everywhere. Therefore k≤h outside a measurable λ-null set. Integrals on that null set vanish by simple approximation and [F5]–[F6], so monotonicity yields θ(A)≤η(A) for all A. Together with step 2.1, this proves that η is the greatest common submeasure.

4.1F5F6F7step 2.1∎

For each real c<0, {a>c}=E; for 0≤c<1, {a>c}={f=0}∪({f>0}∩{g−cf>0}); and for c≥1 the set is empty. By [F7], each such set is measurable, so a is measurable. It lies in [0,1], and af=min⁡{f,g} everywhere: on {f>0} this follows by multiplying the ratio by f, while on {f=0} both sides are zero. For a fixed A, approximate a1A increasingly by simple functions. [F6] gives equality of their integrals against ρ and against fλ; applying [F5] to both limits gives ∫Aa dρ=∫Aaf dλ=∫Amin⁡{f,g} dλ=η(A). Thus a is a nonnegative measurable representative of dη/dρ with values in [0,1].

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