Sigma Algebras

A \sigma-algebra allows us to build a further structure on top of our sample space \Omega.

Definition: A collection \mathcal{F} of subsets of \Omega is said to be a \sigma-algebra if \mathcal{F} satisfies the following properties:

  1. \Omega \in \mathcal{F}
  2. If A \in \mathcal{F} then A^c \in \mathcal{F}, where A^c is the complement of A relative to \Omega.
  3. If A = \bigcup_{n=1}^{\infty} A_n and A_n \in \mathcal{F} for n = 1,2,... then A \in \mathcal{F}.

Definition:  If \mathcal{F} is a \sigma-algebra of \Omega, then (\Omega,\mathcal{F}) is said to be a measurable space, and the members of \mathcal{F} are said to be the measurable sets of (\Omega,\mathcal{F}).

Note: We are usually lazy and will just say that \Omega is a measurable space, but we always need to remember that a measurable space is relative to a \sigma-algebra.

Let \mathcal{F} be a \sigma-algebra of a set \Omega, we have the following properties:

  1. Since \emptyset = \Omega^c we have that \emptyset \in \mathcal{F}.
    \item If we take A_{n+1} = A_{n+2} = ... = \emptyset we see that finite unions of sets in \mathcal{F} are in \mathcal{F}.
  2. Since

        \begin{align*} \bigcap_{n=1}^{\infty}A_n &= \left( \bigcup_{n = 1}^{\infty} A^c_n \right) ^c \end{align*}

  3. We have that \mathcal{F} is closed under countable intersections as well.
  4. Since A - B = B^c \cap A we have that A - B \in \mathcal{F} as well.

Now that we have a definition for \sigma-algebras we can move on to discuss Measurable Spaces and Measure Spaces.