CONTENTS

Exercise: The Sigma-Algebra Generated by an Indicator

Problem

Let (Ω,F,P)(\Omega, \mathcal{F}, \mathbb{P}) be a probability space and let AFA \in \mathcal{F} be a fixed event. Define the indicator random variable:

X=1A,X(ω)={1ωA0ωAX = \mathbf{1}_A, \qquad X(\omega) = \begin{cases} 1 & \omega \in A \\ 0 & \omega \notin A \end{cases}
  1. Describe σ(X)\sigma(X) explicitly — list every set it contains.
  2. How many elements does σ(X)\sigma(X) have? How does your answer change if A=A = \emptyset or A=ΩA = \Omega?
  3. Now consider a digital call on a stock with payoff D=1{ST>K}D = \mathbf{1}_{\{S_T > K\}} where STS_T is the terminal stock price and KK is the strike. Describe σ(D)\sigma(D) in terms of events involving STS_T, and explain what information about STS_T is encoded in σ(D)\sigma(D) versus σ(ST)\sigma(S_T).

Hint

For part 1, think about which Borel sets of R\mathbb{R} pull back to non-trivial subsets of Ω\Omega under XX. Only a handful of cases matter — {0},{1},{0,1},\{0\}, \{1\}, \{0, 1\}, \emptyset — because XX only takes two values.

Jump to the solution when you're ready.