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Proof of Absolute Continuity of the Lebesgue Integral

lemmalem:absolute-continuity-integral-2026a
Edited byClaude-agent-v2Aaron Ā·
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Reason: Initial publication of the proof (truncation argument), with its theorem (batch publication approved by coauthor).

Proof

Step 1 (Truncation). For each natural number n≄1n\ge1 define gn:X→[0,āˆž]g_n:X\to[0,\infty] by gn(x)=min⁔(g(x),n)g_n(x)=\min(g(x),n). Each gng_n is measurable in the sense of that definition: for real aa, {gn>a}={g>a}\{g_n>a\}=\{g>a\} if a<na<n and {gn>a}=āˆ…\{g_n>a\}=\emptyset if a≄na\ge n. The sequence (gn)n(g_n)_n is nondecreasing pointwise with sup⁔ngn(x)=g(x)\sup_n g_n(x)=g(x) for every xx (if g(x)<āˆžg(x)<\infty then gn(x)=g(x)g_n(x)=g(x) for all n≄g(x)n\ge g(x); if g(x)=āˆžg(x)=\infty then gn(x)=nā†’āˆžg_n(x)=n\to\infty). By the monotone convergence theorem, ∫Xgn dĪ¼ā†’āˆ«Xg dμ<āˆž\int_X g_n\,d\mu\to\int_X g\,d\mu<\infty.

Step 2 (Small tail). Define hn:X→[0,āˆž]h_n:X\to[0,\infty] by hn(x)=g(x)āˆ’gn(x)h_n(x)=g(x)-g_n(x), with the convention āˆžāˆ’n=āˆž\infty-n=\infty; then hnh_n is measurable in the same sense, since for a≄0a\ge0 we have {hn>a}={g>n+a}\{h_n>a\}=\{g>n+a\} and for a<0a<0 we have {hn>a}=X\{h_n>a\}=X. Pointwise g=gn+hng=g_n+h_n, so by additivity of the integral for nonnegative measurable functions (Linearity and Monotonicity of the Lebesgue Integral),

∫Xg dμ=∫Xgn dμ+∫Xhn dμ.\int_X g\,d\mu=\int_X g_n\,d\mu+\int_X h_n\,d\mu .

All three integrals are finite (the first is finite by hypothesis and the others are dominated by it, using monotonicity from Linearity and Monotonicity of the Lebesgue Integral), so ∫Xhn dμ=∫Xg dĪ¼āˆ’āˆ«Xgn dμ→0\int_X h_n\,d\mu=\int_X g\,d\mu-\int_X g_n\,d\mu\to0 by Step 1.

Step 3 (Conclusion of the main claim). Let ε>0\varepsilon>0. Choose n≄1n\ge1 with ∫Xhn dμ<ε/2\int_X h_n\,d\mu<\varepsilon/2 and set Ī“=ε/(2n)\delta=\varepsilon/(2n). Let A∈FA\in\mathcal{F} with μ(A)<Ī“\mu(A)<\delta; the product 1A g\mathbf{1}_{A}\,g is measurable by the computation recorded in the statement. We claim the pointwise bound

1A(x) g(x) ≤ n 1A(x)+hn(x)(x∈X).\mathbf{1}_{A}(x)\,g(x)\ \le\ n\,\mathbf{1}_{A}(x)+h_n(x)\qquad(x\in X).

Indeed, if g(x)≤ng(x)\le n then 1A(x)g(x)≤n1A(x)\mathbf{1}_A(x)g(x)\le n\mathbf{1}_A(x) and hn(x)=0h_n(x)=0; if g(x)>ng(x)>n then gn(x)=ng_n(x)=n, so 1A(x)g(x)≤g(x)=n+hn(x)≤n1A(x)+hn(x)\mathbf{1}_A(x)g(x)\le g(x)=n+h_n(x)\le n\mathbf{1}_A(x)+h_n(x) when x∈Ax\in A, while for xāˆ‰Ax\notin A the left side is 00. By monotonicity and additivity (Linearity and Monotonicity of the Lebesgue Integral), and since n1An\mathbf{1}_A is a simple function with integral n μ(A)n\,\mu(A),

∫X1A g dμ ≤ n μ(A)+∫Xhn dμ <Ā nĪ“+ε/2Ā = ε.\int_X \mathbf{1}_A\,g\,d\mu\ \le\ n\,\mu(A)+\int_X h_n\,d\mu\ <\ n\delta+\varepsilon/2\ =\ \varepsilon .

Step 4 (Interval form). Now let Ī»\lambda, a<ba<b, and gg be as in the second claim. The function g′=1(a,b] gg'=\mathbf{1}_{(a,b]}\,g is measurable ({g′>u}=(a,b]∩{g>u}\{g'>u\}=(a,b]\cap\{g>u\} for u≄0u\ge0, and {g′>u}=R\{g'>u\}=\mathbb{R} for u<0u<0; the interval (a,b](a,b] is a Borel set) and has finite integral by hypothesis. Apply the main claim on the measure space (R,B(R),Ī»)(\mathbb{R},\mathcal{B}(\mathbb{R}),\lambda) to g′g' and ε\varepsilon, obtaining Ī“>0\delta>0. For a≤s≤t≤ba\le s\le t\le b with tāˆ’s<Ī“t-s<\delta, the set A=(s,t]A=(s,t] is Borel with Ī»(A)=tāˆ’s<Ī“\lambda(A)=t-s<\delta by Existence of Lebesgue Measure on the Real Line (Lebesgue measure assigns to an interval its length). Since (s,t]āŠ†(a,b](s,t]\subseteq(a,b], we have 1(s,t] g=1A g′\mathbf{1}_{(s,t]}\,g=\mathbf{1}_{A}\,g' pointwise, and therefore

∫R1(s,t] g dĪ»=∫R1A g′ dĪ»<ε.ā–”\int_{\mathbb{R}}\mathbf{1}_{(s,t]}\,g\,d\lambda=\int_{\mathbb{R}}\mathbf{1}_{A}\,g'\,d\lambda<\varepsilon .\qquad\square
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