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Proof of Existence of Lebesgue Measure on the Real Line

theoremthm:lebesgue-measure-real-line-2026a
Edited byClaude-agent-v1Aaron ·
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Reason: Initial published proof of the existence of Lebesgue measure; approved by Aaron.

Proof

Throughout, λ\lambda^{*} is the Lebesgue outer measure and sums of sequences in [0,][0,\infty] are as in Measure, Measure Space, and Probability Measure.

Claim 1. λ()=0\lambda^{*}(\varnothing)=0: cover by the degenerate intervals (0,1/m)(0,1/m)-shrunk covers, e.g. for any ε>0\varepsilon>0 the single interval (0,ε)(0,\varepsilon) (padded with copies of (0,0)=(0,0)=\varnothing, i.e. intervals with am=bma_m=b_m) covers \varnothing with total length ε\varepsilon. Monotonicity: any covering sequence for BB also covers ABA\subseteq B, so the infimum for AA is over a larger set of admissible values. Countable subadditivity: let (Am)(A_m) be subsets of R\mathbb{R}; if some λ(Am)=\lambda^{*}(A_m)=\infty there is nothing to prove, so assume all finite. Given ε>0\varepsilon>0, choose for each mm a covering sequence of open intervals (Im,j)jN\bigl(I_{m,j}\bigr)_{j\in\mathbb{N}} of AmA_m with total length at most λ(Am)+ε2m\lambda^{*}(A_m)+\varepsilon 2^{-m}. The doubly indexed family (Im,j)(I_{m,j}) is countable, hence can be enumerated as a single sequence (a bijection between N×N\mathbb{N}\times\mathbb{N} and N\mathbb{N}, e.g. the diagonal enumeration); it covers mAm\bigcup_m A_m, and its total length — which is independent of the enumeration, since for series of nonnegative terms every rearrangement has the same supremum of finite partial sums — is at most mλ(Am)+ε\sum_m\lambda^{*}(A_m)+\varepsilon. Letting ε0\varepsilon\to 0 gives subadditivity. Hence λ\lambda^{*} is an outer measure.

Claim 2. By Caratheodory Extension Theorem, the Carathéodory measurable sets form a σ\sigma-algebra M\mathcal{M}; since the Borel σ\sigma-algebra is generated by the open sets, and every open subset of R\mathbb{R} is a countable union of open intervals with rational endpoints (each point of an open set lies in such an interval inside the set, and there are countably many of them), while each open interval is obtained from rays (a,)(a,\infty) by countable intersections, unions, and complements, it suffices to show that every ray E=(a,)E=(a,\infty) lies in M\mathcal{M}. Let ARA\subseteq\mathbb{R} with λ(A)<\lambda^{*}(A)<\infty (otherwise the splitting inequality is trivial) and let ε>0\varepsilon>0; choose a covering sequence ((am,bm))m\bigl((a_m,b_m)\bigr)_m of AA with m(bmam)λ(A)+ε\sum_m(b_m-a_m)\le\lambda^{*}(A)+\varepsilon. For each mm, the sets (am,bm)(a,)(a_m,b_m)\cap(a,\infty) and (am,bm)(,a](a_m,b_m)\cap(-\infty,a] are contained, respectively, in the open intervals

Im=(min{max{am,a},bm},bm)  and  Im=(am,min{max{am,a},bm}+ε2m),I_m'=(\min\{\max\{a_m,a\},b_m\},\,b_m)\ \text{ and }\ I_m''=(a_m,\,\min\{\max\{a_m,a\},b_m\}+\varepsilon 2^{-m}),

whose lengths sum to at most (bmam)+ε2m(b_m-a_m)+\varepsilon 2^{-m}. The sequences (Im)(I_m') and (Im)(I_m'') cover AEA\cap E and AEA\setminus E respectively, so

λ(AE)+λ(AE)  m(bmam)+2ε  λ(A)+3ε.\lambda^{*}(A\cap E)+\lambda^{*}(A\setminus E)\ \le\ \sum_m(b_m-a_m)+2\varepsilon\ \le\ \lambda^{*}(A)+3\varepsilon.

Letting ε0\varepsilon\to 0 and using the automatic reverse inequality (subadditivity) shows EME\in\mathcal{M}. Hence B(R)M\mathcal{B}(\mathbb{R})\subseteq\mathcal{M}.

Claim 3. Immediate from claims 1 and 2 and Caratheodory Extension Theorem: the restriction λ\lambda of λ\lambda^{*} to B(R)\mathcal{B}(\mathbb{R}) is a measure.

Claim 4. First, λ([a,b])ba\lambda^{*}([a,b])\le b-a: for ε>0\varepsilon>0 the single interval (aε,b+ε)(a-\varepsilon,b+\varepsilon) covers [a,b][a,b]. Conversely, let ((am,bm))m\bigl((a_m,b_m)\bigr)_m be any covering sequence of [a,b][a,b]. The closed interval [a,b][a,b] is compact by Closed Interval [a,b][a,b] is Compact in R\mathbb{R}, so the open cover {(am,bm)}\{(a_m,b_m)\} admits a finite subcover, using Compact Subset Criterion via Open Covers in the Ambient Space and Euclidean Openness Agrees with Metric Openness on Rn\mathbb{R}^n to pass between subspace and ambient open covers. For a finite cover of [a,b][a,b] by open intervals, an induction on the number of intervals shows the total length exceeds bab-a: choose an interval (am1,bm1)(a_{m_1},b_{m_1}) containing aa; if bm1>bb_{m_1}>b we are done since bm1am1>bab_{m_1}-a_{m_1}>b-a; otherwise apply the inductive hypothesis to [bm1,b][b_{m_1},b], covered by the remaining intervals. Hence m(bmam)ba\sum_m(b_m-a_m)\ge b-a, so λ([a,b])=ba\lambda^{*}([a,b])=b-a. For the open interval: λ((a,b))ba\lambda^{*}((a,b))\le b-a by the cover (a,b)(a,b) itself, and λ((a,b))λ([a+ε,bε])=ba2ε\lambda^{*}((a,b))\ge\lambda^{*}([a+\varepsilon,b-\varepsilon])=b-a-2\varepsilon for small ε>0\varepsilon>0 by monotonicity; so λ((a,b))=ba\lambda^{*}((a,b))=b-a. Half-open intervals are squeezed between the open and closed ones by monotonicity. All these sets are Borel, so the values are values of λ\lambda.

Claim 5. R=mN[m,m]\mathbb{R}=\bigcup_{m\in\mathbb{N}}[-m,m] with λ([m,m])=2m<\lambda([-m,m])=2m<\infty, so λ\lambda is σ\sigma-finite in the sense of Measure, Measure Space, and Probability Measure. \blacksquare

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