Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-31
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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.

Lp and L are vector spaces for p1

Statement

Let (X,A,μ) be a measure space.

  1. For each 1p<, the class Lp(μ) is a real vector space under pointwise addition and scalar multiplication.
  2. The class L(μ) is a real vector space under the same operations.

Facts & Assumptions

Given: A measure space (X,A,μ).

[L2]

Sums, scalar multiples, and absolute values of measurable real-valued functions are measurable (Closure properties of measurable functions used by the integral).

[L3]

Minkowski's inequality holds for integrals (Minkowski's inequality for integrals, including p=).

[L4]

A finite essential supremum is an attained essential bound (The essential supremum is attained as the least essential bound).

[L5]

Countable unions of measurable null sets are measurable and null (Finite and countable subadditivity of measures).

[L6]

A vector space over R means the structure defined in Vector space over a field.

Proof

Proof technique: For 1p<infinity, use Minkowski to keep sums in Lp and homogeneity of the integral to keep scalar multiples. For L, intersect the two essential-bound sets and use countable-union stability of null sets.

1.1

Fix 1p< and let f,gLp(μ) and aR. Then f+g and af are measurable, and Minkowski plus homogeneity give [L1, L2, L3, given] f+gpfp+gp<,afp=afp<, so f+g,afLp(μ). The zero function is in Lp(μ), and additive inverses are scalar multiples by 1.

1.2

Let f,gL(μ) with M:=f and N:=g. There are measurable null sets Ef,Eg such that fM on XEf and gN on XEg. With E:=EfEg, E is measurable and null, and on XE one has [L1, L2, L4, L5, given] f+gf+gM+N,af=afaM. Thus f+g and af are essentially bounded; measurability again comes from [L2].

2.1

The pointwise addition and scalar-multiplication identities are inherited from real-valued functions. Hence [L6] makes Lp(μ) a real vector space for every 1p<.

step 1.1L6
3.1

The pointwise identities are again inherited from real-valued functions, so [L6] makes L(μ) a real vector space.

step 1.2L6

Depends on

Used by

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Sources