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Weakly measurable need not be strongly measurable
Statement refuted
Assume the Axiom of Choice. Put , give it the trace of the Lebesgue sigma-algebra and restricted Lebesgue measure, and define
where is either or and the norm is the square root of the displayed supremum. For , let be the coordinate unit vector. Then the map
is weakly measurable but is not strongly measurable.
Facts & Assumptions
The Axiom of Choice holds, hence so does Countable Choice (The Axiom of Choice, AC supplies the countable and dependent choices used in Banach integration).
Under Countable Choice, the Lebesgue sigma-algebra is complete, the unit interval has measure one, countable subsets of the line are null, and a countable union of countable sets is countable (Lebesgue measurable sets, the family , and the restricted set function , Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume, A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included, Every at most countable subset of is Lebesgue null; in particular , Countable unions of at most countable sets, assuming ).
On a complete measure space and under AC, strong measurability is equivalent to weak measurability plus an essentially separable range (Pettis measurability criterion for strong measurability, Separability: the existence of an at most countable dense subset).
A complete normed space is a Banach space (Banach space).
Counterexample
Given: AC and the displayed scalar field, interval, normed function space, and map.
Verify that the target is a Banach space. Finite-dimensional Cauchy--Schwarz gives the triangle inequality after taking the supremum over finite ; homogeneity and definiteness are immediate, so the displayed formula is a norm. If is Cauchy in this norm, then every coordinate sequence is Cauchy. Let . Given , choose such that for . For every finite , passage to the scalar limit gives . Taking the supremum shows with norm at most . Hence and , so [L3] makes Banach. This also proves directly that whenever .
Every scalar evaluation of the range has countable support. Fix and put . For a finite , apply to (with conjugation trivial over ) to obtain
and therefore . For each , the set is finite, since arbitrarily large finite subsets would violate this bound. The support of is , which is countable by [L1].
Prove weak measurability. The trace measure space on is complete: any subset of a trace-null set is an ambient subset of a Lebesgue-null set and hence is Lebesgue measurable by [L1]. For the fixed , the scalar function vanishes off the countable null support from step 2.1. The inverse image of an open scalar set is either a subset of that support or the complement of such a subset, according as the open set omits or contains zero. Completeness makes every such inverse image measurable. Since was arbitrary, is weakly measurable.
Rule out an essentially separable range. Suppose there were a null and a separable closed subspace containing every for . The set is uncountable: if it were countable, [L1] would make both it and null, contrary to . Let be an at most countable dense subset of . For each , assign the first member of a fixed enumeration of lying within of . The assignment is injective, because one point of cannot lie within that radius of two vectors at distance . This would make countable, a contradiction. Thus the range is not essentially separably valued.
Conclude failure of strong measurability and audit boundaries. [A1, L2, step 1.1, step 3.1, step 4.1] The trace measure is complete, is Banach, and step 3.1 proves weak measurability, but step 4.1 disproves the other necessary condition in [L2]. Hence is not strongly measurable. Every coordinate vector has norm one; the zero functional has empty support and gives the constant zero scalar map; the real and complex cases are both covered by the finite coefficient calculation. The positive-measure interval, rather than a singleton or a null domain, is essential to the failed conclusion. AC is used through [L1], [L2], and the displayed simultaneous countability arguments only.
Depends on
- The Axiom of Choice
- AC supplies the countable and dependent choices used in Banach integration
- Banach space
- Separability: the existence of an at most countable dense subset
- Countable unions of at most countable sets, assuming $\mathrm{AC}_\omega$
- Lebesgue measurable sets, the family $\mathcal{L}(\mathbb{R}^n)$, and the restricted set function $\lambda_n$
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Every at most countable subset of $\mathbb{R}^n$ is Lebesgue null; in particular $\lambda_1(\mathbb{Q})=0$
- Pettis measurability criterion for strong measurability
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Gerald Teschl, Topics in Real and Functional Analysis (standard reference, not scraped)