How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
and are vector spaces for
Statement
Let be a measure space.
- For each , the class is a real vector space under pointwise addition and scalar multiplication.
- The class is a real vector space under the same operations.
Facts & Assumptions
Given: A measure space .
and are the classes defined in The function space for and The space of essentially bounded measurable functions.
Sums, scalar multiples, and absolute values of measurable real-valued functions are measurable (Closure properties of measurable functions used by the integral).
The nonnegative integral is monotone, additive, and homogeneous for positive finite scalars; the zero function has integral zero (Additivity of the nonnegative Lebesgue integral, Monotonicity and nonnegative homogeneity of the nonnegative integral).
A finite essential supremum is an attained essential bound (The essential supremum is attained as the least essential bound).
Countable unions of measurable null sets are measurable and null (Finite and countable subadditivity of measures).
A vector space over means the structure defined in Vector space over a field.
Proof
Fix and let and . Measurability of and follows from [L2]. Pointwise, By [L3], If , positive homogeneity in [L3] gives ; if , the integral is zero without forming . Thus . The zero function belongs to the class, and additive inverses use .
Let with and . There are measurable null sets such that on and on . With , is measurable and null, and on one has [L1, L2, L4, L5, given] Thus and are essentially bounded; measurability again comes from [L2].
The pointwise addition and scalar-multiplication identities are inherited from real-valued functions. Hence [L6] makes a real vector space for every .
The pointwise identities are again inherited from real-valued functions, so [L6] makes a real vector space.
Depends on
The function space for
The space of essentially bounded measurable functions
Additivity of the nonnegative Lebesgue integral
Monotonicity and nonnegative homogeneity of the nonnegative integral
The essential supremum is attained as the least essential bound
Closure properties of measurable functions used by the integral
Vector space over a field
Finite and countable subadditivity of measures