A sigma-algebra on contains and is closed under complements and countable unions.
A nonempty collection of subsets of a fixed universe closed under complements and finite unions, hence also finite intersections. It generates a sigma-algebra by allowing countable set operations. A countable generating algebra provides one simultaneous family of test indicators for measure-theoretic arguments.
A countable algebra of sets generating the intended sigma-algebra. Standard Borel spaces admit such algebras by taking finite Boolean combinations from a countable topological base. Finite linear combinations of its indicators are dense in for every Borel probability measure, by the Monotone class theorem. Countability permits a common full-measure convergence set for all test indicators.
A subset of is measurable relative to a sigma-algebra when it belongs to . A measure defined on assigns sizes to these sets. Measurability depends on the chosen sigma-algebra; for example, a Lebesgue measurable set need not be a Borel set.
An atom of a sigma-algebra is a nonempty measurable set containing no proper nonempty measurable subset. A finite sigma-algebra partitions its underlying set into atoms, and each measurable set is a union of them.
A Borel set in a topological space belongs to the smallest sigma-algebra containing every open set.
The Borel sigma-algebra of a topological space is the sigma-algebra generated by its open sets. Its members are exactly the Borel sets.
Every subset of a discrete space is open, so its Borel sigma-algebra is the full power set.
A pi-system is a nonempty family of subsets closed under finite intersections.
A Dynkin system contains , is closed under complements, and is closed under countable disjoint unions. Equivalently, it contains differences whenever are members.
Every Dynkin system containing a pi-system also contains the sigma-algebra . Equivalently, the Dynkin system generated by a pi-system equals the sigma-algebra it generates.

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In mathematics, a **σ-algebra** (sigma-algebra) is a collection of sets that satisfies certain properties which make it suitable for defining measures, and is foundational in the fields of measure theory and probability.