← MATHEMATICAL JOURNAL
MEASURE THEORY / INTRODUCTORY EXPOSITION

Measure and Lebesgue integration.

Sigma-algebras, measures, and integrable functions

Editorially prepared introduction for this redesigned journal. This is new explanatory content, separate from Pablo's original notes.

1. Measurable sets

A sigma-algebra allows countable set operations while keeping the resulting sets measurable.

Definition. A collection \(\mathcal F\subseteq\mathcal P(X)\) is a sigma-algebra if \(X\in\mathcal F\), complements of its members belong to \(\mathcal F\), and countable unions of its members belong to \(\mathcal F\).

2. Measures

Definition. A measure \(\mu:\mathcal F\to[0,\infty]\) satisfies \(\mu(\varnothing)=0\) and countable additivity on pairwise disjoint measurable sets.

Example. Lebesgue measure on \(\mathbb R\) assigns an interval its usual length: \(\lambda([a,b])=b-a\).

3. Integration

Lebesgue integration builds the integral from measurable simple functions and extends it to more general functions through limits.

Monotone convergence theorem. If \(0\le f_n\uparrow f\) pointwise and each \(f_n\) is measurable, then \(\int f_n\,d\mu\uparrow\int f\,d\mu\).

4. The spaces Lᵖ

For \(1\le p<\infty\), \(L^p\) consists of measurable functions with \(\int |f|^p\,d\mu<\infty\), modulo equality almost everywhere.

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