ConceptComplete

Lebesgue Integration - Key Properties

The Lebesgue integral possesses several fundamental properties that make it the cornerstone of modern analysis. These properties demonstrate its superiority over the Riemann integral for many applications.

TheoremLinearity of the Integral

Let ff and gg be integrable functions on (X,F,μ)(X, \mathcal{F}, \mu) and let α,βR\alpha, \beta \in \mathbb{R}. Then αf+βg\alpha f + \beta g is integrable and: X(αf+βg)dμ=αXfdμ+βXgdμ\int_X (\alpha f + \beta g) \, d\mu = \alpha \int_X f \, d\mu + \beta \int_X g \, d\mu

This shows that integration is a linear functional on the space of integrable functions.

ExampleMonotonicity and Triangle Inequality

Key inequalities for the Lebesgue integral include:

  1. Monotonicity: If fgf \leq g almost everywhere and both are integrable, then: XfdμXgdμ\int_X f \, d\mu \leq \int_X g \, d\mu

  2. Triangle inequality: If ff is integrable, then: XfdμXfdμ\left|\int_X f \, d\mu\right| \leq \int_X |f| \, d\mu

  3. Absolute integrability: ff is integrable if and only if f|f| is integrable.

These properties mirror familiar properties of sums and series.

Remark

Important operational properties include:

Domain additivity: If AA and BB are disjoint measurable sets, then: ABfdμ=Afdμ+Bfdμ\int_{A \cup B} f \, d\mu = \int_A f \, d\mu + \int_B f \, d\mu

Measure zero sets: If μ(E)=0\mu(E) = 0 and ff is measurable, then: Efdμ=0\int_E f \, d\mu = 0

Almost everywhere equality: If f=gf = g a.e. and ff is integrable, then gg is integrable and: Xfdμ=Xgdμ\int_X f \, d\mu = \int_X g \, d\mu

This last property is crucial: the integral depends only on the equivalence class of ff modulo equality almost everywhere.

DefinitionL1 Space

The space of integrable functions is denoted L1(X,F,μ)L^1(X, \mathcal{F}, \mu) or simply L1(μ)L^1(\mu). More precisely, L1L^1 consists of equivalence classes of functions that are equal almost everywhere, with the norm: f1=Xfdμ\|f\|_1 = \int_X |f| \, d\mu

This makes L1L^1 a Banach space (a complete normed vector space), which is fundamental for functional analysis.

The completeness of L1L^1 means that every Cauchy sequence of integrable functions converges to an integrable function, making L1L^1 a natural setting for solving equations and optimization problems.