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Properties of the Integral with Respect to a Finite Signed Measure: Linearity, Bounds, Bounded Functions, Linearity in the Measure, Indicators and Finite Measures

The integral against a finite signed measure is linear, bounded by the integral of the absolute value against the total variation, defined for bounded measurable functions with bound C times the total variation norm, computable from any splitting of the measure as a difference of finite measures, linear in the measure, equal to the measure on indicators, and equal to the Lebesgue integral when the measure is nonnegative.

Statement

In the setting of Radon Measures on Locally Compact Metric Spaces: Standing Notation, let (X,F)(X,\mathcal{F}) be a measurable space, let ν\nu and ν′\nu' be finite signed measures on (X,F)(X,\mathcal{F}), and let c∈Rc\in\mathbb{R}. Let ∣ν∣|\nu| and ∥ν∥\|\nu\| be the total variation and the total variation norm of ν\nu, and let L1(ν)\mathcal{L}^{1}(\nu) and ∫f dν\int f\,d\nu be as in Integrable Functions and the Integral with Respect to a Finite Signed Measure (i) and Integrable Functions and the Integral with Respect to a Finite Signed Measure (ii).

Linearity. For f,g∈L1(ν)f,g\in\mathcal{L}^{1}(\nu) and a,b∈Ra,b\in\mathbb{R}, af+bg∈L1(ν)af+bg\in\mathcal{L}^{1}(\nu) and

∫(af+bg) dν=a∫f dν+b∫g dν.\int(af+bg)\,d\nu=a\int f\,d\nu+b\int g\,d\nu .

Bound. For f∈L1(ν)f\in\mathcal{L}^{1}(\nu), ∣f∣∈L1(∣ν∣)|f|\in\mathcal{L}^{1}(|\nu|) and

∣∫f dν∣≤∫∣f∣ d∣ν∣.\Bigl|\int f\,d\nu\Bigr|\le\int|f|\,d|\nu| .

Bounded functions. Let f:X→Rf:X\to\mathbb{R} be measurable and let C∈RC\in\mathbb{R} with C≥0C\ge0 and ∣f(x)∣≤C|f(x)|\le C for every x∈Xx\in X. Then f∈L1(ν)f\in\mathcal{L}^{1}(\nu) and

∣∫f dν∣≤C ∥ν∥.\Bigl|\int f\,d\nu\Bigr|\le C\,\|\nu\| .

Differences of finite measures. Let μ1\mu_{1} and μ2\mu_{2} be finite measures on (X,F)(X,\mathcal{F}) with ν(A)=μ1(A)−μ2(A)\nu(A)=\mu_{1}(A)-\mu_{2}(A) for every A∈FA\in\mathcal{F}, and let f:X→Rf:X\to\mathbb{R} be measurable with ∣f(x)∣≤C|f(x)|\le C for every x∈Xx\in X, for some C∈RC\in\mathbb{R} with C≥0C\ge0. Then

∫f dν=∫f dμ1−∫f dμ2.\int f\,d\nu=\int f\,d\mu_{1}-\int f\,d\mu_{2}.

Linearity in the measure. Let f:X→Rf:X\to\mathbb{R} be measurable with ∣f(x)∣≤C|f(x)|\le C for every x∈Xx\in X, for some C∈RC\in\mathbb{R} with C≥0C\ge0. Then, for the finite signed measures ν+ν′\nu+\nu' and cνc\nu of Properties of the Total Variation: a Finite Measure, the Jordan Decomposition, Linear Combinations, the Total Variation Norm, and Integrability (v),

∫f d(ν+ν′)=∫f dν+∫f dν′,∫f d(cν)=c∫f dν.\int f\,d(\nu+\nu')=\int f\,d\nu+\int f\,d\nu',\qquad\int f\,d(c\nu)=c\int f\,d\nu .

Indicators. For every A∈FA\in\mathcal{F}, 1A∈L1(ν)\mathbf{1}_{A}\in\mathcal{L}^{1}(\nu) and

∫1A dν=ν(A).\int\mathbf{1}_{A}\,d\nu=\nu(A).

Finite measures. Suppose that ν(A)≥0\nu(A)\ge0 for every A∈FA\in\mathcal{F}. Then ν\nu is a finite measure, the set L1(ν)\mathcal{L}^{1}(\nu) of Integrable Functions and the Integral with Respect to a Finite Signed Measure (i) is the set L1(ν)\mathcal{L}^{1}(\nu) of the base, and for every ff in it the integral of Integrable Functions and the Integral with Respect to a Finite Signed Measure (ii) equals the Lebesgue integral ∫f dν\int f\,d\nu of the base.

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