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Riesz-Fischer completeness of for
Statement
Let be a measure space and let . Then , with the norm of The norm descends to the quotient and makes a normed space for , is complete. Equivalently, the metric induced by that norm is a complete metric in the sense of Complete metric space: every Cauchy sequence converges in the space.
Moreover, if a sequence in converges in norm, then some subsequence admits measurable representatives converging almost everywhere in the sense of Convergence almost everywhere relative to a measure.
Facts & Assumptions
Given: A measure space and an exponent .
is a normed space, so it has the norm metric (The norm descends to the quotient and makes a normed space for , Complete metric space: every Cauchy sequence converges in the space).
Minkowski's inequality holds in (Minkowski's inequality for integrals, including ).
Monotone convergence and dominated convergence are available (Monotone convergence for the integral, Dominated convergence).
Pointwise limits of measurable functions are measurable (Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable).
Sums and absolute values of measurable functions are measurable (Closure properties of measurable functions used by the integral).
Countable unions of measurable null sets are measurable and null (Finite and countable subadditivity of measures).
Finite essential suprema are attained almost everywhere (The essential supremum is attained as the least essential bound).
Proof
Proof technique: For , choose a rapidly Cauchy subsequence by least indices, sum the successive differences with monotone convergence and Minkowski, and recover the limit by dominated convergence. For , union the exceptional null sets and take the pointwise limit outside them.
Assume and let be Cauchy in . Choose by least indices a strictly increasing sequence such that [L2, L3, L4, L5, given, choose] For representatives of , put . Then each is measurable, belongs to , and satisfies If , then so each lies in . Monotone convergence then gives a measurable pointwise limit with .
Assume now and let be Cauchy in . Choose least indices with [L4, L6, L7, given, choose] Choose representatives of . By [L7], for each there is a measurable null set such that With , [L6] makes measurable and null, and for and , So is Cauchy in , hence converges to some value . Defining arbitrarily on , [L4] makes it measurable.
Because almost everywhere, outside a measurable null set the series converges. Hence the telescoping sums converge pointwise almost everywhere to a measurable function , and [step 1.1, L3, L4] Dominated convergence in [L3] therefore gives . So the subsequence converges to , and its representatives converge to almost everywhere.
For , the same tail estimate gives [step 1.2] Therefore . Given , choose with for , then choose with and . Hence so in .
Since is Cauchy, for every there is with whenever . Choose with and from step 2.1. Then for every , [step 2.1, L2] So the whole sequence converges to . This proves completeness for .
Step 2.1 proves the almost-everywhere convergent subsequence clause in the finite- case, and step 2.2 gives the same for . Steps 3.1 and 2.2 prove completeness in every case, which by [L1] is exactly completeness of the norm metric.
Depends on
- The $L^p$ norm descends to the quotient and makes $L^p$ a normed space for $1 \le p \le \infty$
- Minkowski's inequality for integrals, including $p = \infty$
- Monotone convergence for the integral
- Dominated convergence
- Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable
- Complete metric space: every Cauchy sequence converges in the space
- Convergence almost everywhere relative to a measure
- Closure properties of measurable functions used by the integral
- Finite and countable subadditivity of measures
- The essential supremum is attained as the least essential bound
Used by
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Sources
- John K. Hunter, Measure Theory, Theorem 7.10 and Corollary 7.11 (standard reference, not scraped)
- Sheldon Axler, Measure, Integration & Real Analysis, Proposition 7.23 and Theorem 7.24 (standard reference, not scraped)
- Stein and Shakarchi, Real Analysis, Theorem 2.2 (standard reference, not scraped)