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Null functions form a linear subspace and are exactly the zero-seminorm class
Statement
Let be a measure space.
- For each , the set is a linear subspace of , and for one has
- The set is a linear subspace of , and for one has
Facts & Assumptions
Given: A measure space .
The null functions are those that vanish almost everywhere (The null subspace of measurable functions that vanish almost everywhere).
and are vector spaces in the relevant ranges ( and are vector spaces for ).
A countable union of measurable null sets is null (Finite and countable subadditivity of measures).
A linear subspace means the three closure conditions of Linear subspace of a vector space.
For , a nonnegative measurable function has integral exactly when it vanishes almost everywhere (A nonnegative measurable function has integral exactly when it vanishes almost everywhere).
If , then almost everywhere (The essential supremum is attained as the least essential bound).
Proof
Proof technique: Use countable-union stability of null sets for addition and scalar multiplication. For , the -seminorm vanishes exactly when the integral of is zero; for , vanishing means the essential supremum is zero.
Fix . If , choose measurable null sets outside which and . Their union is null, and on its complement one has and for every . Because is a vector space, [L4] makes a linear subspace.
If , then almost everywhere, so [L1, L5] hence . Conversely, if , then the same theorem [L5] forces almost everywhere and therefore almost everywhere.
If , then is an essential bound for , so . Conversely, if , then [L6] gives almost everywhere, hence almost everywhere.
If , the same null-set union argument as in step 1.1 shows that and vanish almost everywhere, and [L2] places them in . Therefore [L4] makes a linear subspace.
Steps 1.1 and 2.1 prove the two subspace claims, and steps 1.2 and 1.3 identify the zero-seminorm class in every range.
Depends on
- The null subspace of measurable functions that vanish almost everywhere
- The function space $\mathcal{L}^p(\mu)$ for $0 < p < \infty$
- The space $L^\infty(\mu)$ of essentially bounded measurable functions
- The essential supremum is attained as the least essential bound
- A nonnegative measurable function has integral $0$ exactly when it vanishes almost everywhere
- Linear subspace of a vector space
- $\mathcal{L}^p$ and $L^\infty$ are vector spaces for $p \ge 1$
- Finite and countable subadditivity of measures
Used by
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Sources
- Sheldon Axler, Measure, Integration & Real Analysis, Definition 7.15 and Section 7B (standard reference, not scraped)
- John K. Hunter, Measure Theory, Section 7.1 and 7.4 (standard reference, not scraped)