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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
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 for
The space of essentially bounded measurable functions
The essential supremum is attained as the least essential bound
A nonnegative measurable function has integral exactly when it vanishes almost everywhere
Linear subspace of a vector space
and are vector spaces for
Finite and countable subadditivity of measures