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Borel Sigma-Algebra, Borel Measurable Space 📂Measure Theory

Borel Sigma-Algebra, Borel Measurable Space

Theorem

Let XX be an arbitrary set. Given a non-empty set AP(X)A \subset \mathcal{P}(X), there exists the smallest σ\sigma-algebra, EA\mathcal{E}_{A}, that contains AA.

Proof

We define EA\mathcal{E}_{A} and show that it is an σ\sigma-algebra and then prove that it is the smallest1.


Let SS be the set of all σ\sigma-algebras that contain AA.

S:={EP(X) : E is σalgebra, AE} S:= \left\{ \mathcal{E} \subset \mathcal{P}(X)\ :\ \mathcal{E}\ \mathrm{is\ } \sigma \mathrm{-algebra, \ } A \subset \mathcal{E} \right\}

Then, it is obvious that P(X)S\mathcal{P}(X) \in S. Therefore, SS \ne \varnothing. Now, let EA:=ESE\mathcal{E}_{A} := \bigcap \limits_{\mathcal{E} \in S} \mathcal{E}. Then, AEAA \subset \mathcal{E}_{A}. Furthermore, it can be shown that EA\mathcal{E}_{A} is an σ\sigma-algebra.

σ\sigma-algebra

Given a set XX, the collection []../1358) of subsets of XX, EP(X)\mathcal{E} \subset \mathcal{P}(X), satisfying the below conditions is called an σ\sigma-algebra.

  • (D1) ,XE\varnothing, X \in \mathcal{E}
  • (D2) EE    EcEE \in \mathcal{E} \implies E^c \in \mathcal{E}
  • (D3) EkE (kN)    k=1EkEE_{k} \in \mathcal{E}\ (\forall k \in \mathbb{N}) \implies \bigcup_{k=1}^\infty E_{k} \in \mathcal{E}
  • (D4) EkE ( kN)    k=1EkEE_{k} \in \mathcal{E}\ (\forall\ k \in \mathbb{N}) \implies \bigcap_{k=1}^\infty E_{k} \in \mathcal{E}
  • (D1)

    Since each E\mathcal{E} is an σ\sigma-algebra, it is obvious that \varnothing, and XX is included. So by the definition of EA\mathcal{E}_{A}, \varnothing, and XEAX\in \mathcal{E}_{A} are obvious.

  • (D2)

    Let EEAE \in \mathcal{E}_{A}. Then, by the definition of EA\mathcal{E}_{A}, EEE \in \mathcal{E} holds for each E\mathcal{E}. Each E\mathcal{E} is an σ\sigma-algebra, so EcEE^c \in \mathcal{E} holds. Therefore, by the definition of EA\mathcal{E}_{A}, EcEAE^c \in \mathcal{E}_{A} holds.

  • (D3)

    As shown in condition (D2), using the definition of EA\mathcal{E}_{A} and the fact that each E\mathcal{E} is an σ\sigma-algebra, this can be easily proven. (D4) automatically follows from (D3) according to De Morgan’s laws.

Therefore, EA\mathcal{E}_{A} satisfies conditions (D1) ~ (D4), hence it is an σ\sigma-algebra. Now, let another σ\sigma-algebra that contains AA be E\mathcal{E}^{\prime}. Then, by the definition of the set SS, ES\mathcal{E}^{\prime} \in S and obviously EAE\mathcal{E}_{A} \subset \mathcal{E}^{\prime} holds. Therefore, EA\mathcal{E}_{A} is the smallest σ\sigma-algebra that includes AA.

Definition

  • At this time, EA\mathcal{E}_{A} is called the σ\sigma-algebra generated by A and is denoted as G(A)\mathcal{G}(A).

  • Let the pair (X,T)(X,\mathcal{T}) be called a topological space. By the definition of topology, TP(X)\mathcal{T} \subset \mathcal{P}(X) holds. Therefore, according to the above theorem, the smallest σ\sigma-algebra that includes T\mathcal{T} exists. This is denoted as Bσ(X):=G(T)\mathcal{B}_\sigma (X) :=\mathcal{G}(\mathcal{T}) and is called the Borel σ\sigma-algebra on the topological space (X,T)(X,\mathcal{T}) or simply Borel algebra.

  • The element of Bσ(X)\mathcal{B}_\sigma (X) is called a Borel set and the pair (X,Bσ(X))(X,\mathcal{B}_\sigma (X) ) is called a Borel measurable space.


Simply put, the Borel algebra is the smallest σ\sigma-algebra that contains all open sets. Especially, all measures defined in Borel algebra are called Borel measures.

See Also


  1. It means that the sigma field with unnecessary parts minimized. In this sense, the Borel sigma field is especially useful in discussing probability theory. ↩︎