TheoremBase

The restricted space comes from restricting a measure to a measurable set; zero extensions are handled by the indicator form of the integral over a subset; for a Riemann-integrable integrand, step functions built from a partition squeeze the Lebesgue integral between the lower and upper Darboux sums; continuity gives measurability and Riemann integrability; the remaining clauses use the vanishing of integrals and measurability of pointwise limits.

Proof

Conventions. Write B′=B[a,b]\mathcal{B}'=\mathcal{B}_{[a,b]} and λ′=λ[a,b]\lambda'=\lambda_{[a,b]}.

Proof of (i). The function λ\lambda is a measure on (R,B(R))(\mathbb{R},\mathcal{B}(\mathbb{R})) and [a,b]∈B(R)[a,b]\in\mathcal{B}(\mathbb{R}) (Lebesgue Measure on the Real Line: Existence, Lengths of Intervals and Uniqueness (iv), Lebesgue Measure on the Real Line: Existence, Lengths of Intervals and Uniqueness (i)), so λ′\lambda' is a measure on ([a,b],B′)([a,b],\mathcal{B}') (Integrals of Functions over a Measurable Subset (i)). As [a,b]∈B′[a,b]\in\mathcal{B}',

λ′([a,b])=λ([a,b])=b−a<∞\lambda'([a,b])=\lambda([a,b])=b-a<\infty

(Lebesgue Measure on the Real Line: Existence, Lengths of Intervals and Uniqueness (i), Small Facts about [0,∞]: Zero, Finiteness and Sums of Zeros (ii)), so λ′\lambda' is finite (Measure, Measure Space, and Probability Measure (iii)). As d[a,b]d_{[a,b]} is the restriction of dRd_{\mathbb{R}} to [a,b]×[a,b][a,b]\times[a,b] and B(R)\mathcal{B}(\mathbb{R}) is the Borel σ\sigma-algebra of (R,dR)(\mathbb{R},d_{\mathbb{R}}), the Borel sets of the subspace [a,b][a,b] are B([a,b])={B∈B(R):B⊆[a,b]}=B′\mathcal{B}([a,b])=\{B\in\mathcal{B}(\mathbb{R}):B\subseteq[a,b]\}=\mathcal{B}' (The Real Line: Standing Notation and Background for Calculus on Intervals (iv), Borel Sigma-Algebra of a Metric Space (ii), Borel Sets of a Metric Space: Open and Closed Sets, Points, Open Sets of Subspaces, and Subspaces (vii)).

Proof of (ii). By Darboux Sums Bound the Lebesgue Integral on a Closed Interval (i), f∈L1(λ′)f\in\mathcal{L}^{1}(\lambda') and

L(f,P)≤∫f dλ′≤U(f,P)L(f,P)\le\int f\,d\lambda'\le U(f,P)

for every partition PP of [a,b][a,b], with the lower sum L(f,P)L(f,P) and the upper sum U(f,P)U(f,P). So ∫f dλ′\int f\,d\lambda' is an upper bound of the set L(f)\mathcal{L}(f) of lower sums and a lower bound of the set U(f)\mathcal{U}(f) of upper sums (The Riemann Integral on a Closed Interval via Lower and Upper Integrals (i), The Riemann Integral on a Closed Interval via Lower and Upper Integrals (ii), Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order (i)). The lower integral is the least upper bound of L(f)\mathcal{L}(f) and the upper integral the greatest lower bound of U(f)\mathcal{U}(f), so

∫ab‾f≤∫f dλ′≤∫ab‾f\underline{\int_{a}^{b}}f\le\int f\,d\lambda'\le\overline{\int_{a}^{b}}f

(The Riemann Integral on a Closed Interval via Lower and Upper Integrals (iii), Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order (iv)). As ff is Riemann integrable, both outer terms equal ∫abf\int_{a}^{b}f (The Riemann Integral on a Closed Interval via Lower and Upper Integrals (iv), The Riemann Integral on a Closed Interval via Lower and Upper Integrals (v)), so ∫abf≤∫f dλ′≤∫abf\int_{a}^{b}f\le\int f\,d\lambda'\le\int_{a}^{b}f, and

∫f dλ′=∫abf\int f\,d\lambda'=\int_{a}^{b}f

(Arithmetic and Order Rules in the Real Numbers, Stated for ℝ (viii)).

Proof of (iii). The function ff is bounded and Riemann integrable on [a,b][a,b] (A Continuous Function on a Closed Interval is Riemann Integrable (i)). It is continuous as a function from the metric space ([a,b],d[a,b])([a,b],d_{[a,b]}) to (R,dR)(\mathbb{R},d_{\mathbb{R}}), hence B([a,b])/B(R)\mathcal{B}([a,b])/\mathcal{B}(\mathbb{R})-measurable, and B([a,b])=B′\mathcal{B}([a,b])=\mathcal{B}' by (i), so ff is measurable (The Real Line: Standing Notation and Background for Calculus on Intervals (vi), The Real Line: Standing Notation and Background for Calculus on Intervals (iv), Continuity on a Subset Is Continuity on the Metric Subspace (ii), Measurable Maps: Generators, Composition, Continuous Maps, Restrictions, and Criteria for Real- and [0,∞]-Valued Maps (iv), Borel Sigma-Algebra of a Metric Space (ii)). The rest is (ii).

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