Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passverified 2026-09-23 (gpt-6-sol)
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Lp and L∞ are vector spaces for p≥1

Statement

Let (X,A,μ) be a measure space.

  1. For each 1≤p<∞, 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]

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).

[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

technique · direct
1.1L1L2L3givenalgebra

Fix 1≤p<∞ and let f,g∈Lp(μ) and a∈R. Measurability of f+g and af follows from [L2]. Pointwise, ∣f+g∣p≤(2max⁡{∣f∣,∣g∣})p≤2p(∣f∣p+∣g∣p). By [L3], ∫∣f+g∣p dμ≤2p(∫∣f∣p dμ+∫∣g∣p dμ)<∞. If a≠0, positive homogeneity in [L3] gives ∫∣af∣p dμ=∣a∣p∫∣f∣p dμ<∞; if a=0, the integral is zero without forming 0⋅∞. Thus f+g,af∈Lp(μ). The zero function belongs to the class, and additive inverses use a=−1.

1.2

Let f,g∈L∞(μ) with M:=∥f∥∞ and N:=∥g∥∞. There are measurable null sets Ef,Eg such that ∣f∣≤M on X∖Ef and ∣g∣≤N on X∖Eg. With E:=Ef∪Eg, E is measurable and null, and on X∖E one has [L1, L2, L4, L5, given] ∣f+g∣≤∣f∣+∣g∣≤M+N,∣af∣=∣a∣∣f∣≤∣a∣M. Thus f+g and af are essentially bounded; measurability again comes from [L2].

2.1step 1.1L6

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

3.1step 1.2L6∎

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

Depends on

Used by

Dependency tree · two levels

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Sources