Math 2.0

Probability theory and stochastic processes Definition

Event

Builds on Sample spaceSigma-algebraSubset

Definition

Let Ω\Omega be a sample space and let ℱ\mathcal{F} be a σ-algebra on Ω\Omega. An event is an element of ℱ\mathcal{F}, that is, a subset A⊆ΩA \subseteq \Omega with A∈ℱA \in \mathcal{F}. The event AA occurs in a trial when the outcome ω\omega of the trial satisfies ω∈A\omega \in A.

Remarks

When Ω\Omega is finite or countable, one usually takes ℱ\mathcal{F} to be the power set of Ω\Omega. Then each subset of Ω\Omega is an event. For uncountable Ω\Omega, such as Ω=ℝ\Omega = \mathbb{R}, one cannot in general give a probability to each subset. So only the sets in ℱ\mathcal{F} are events. The set operations have probabilistic names: A∪BA \cup B is "AA or BB", A∩BA \cap B is "AA and BB", and Ω∖A\Omega \setminus A is "not AA". The empty set is the impossible event, and Ω\Omega is the sure event. Two events AA and BB are mutually exclusive when A∩B=∅A \cap B = \varnothing.

Reading path

To understand this page from the ground up, read these 16 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Element definition
  2. Proposition concept
  3. Random experiment concept
  4. Set definition
  5. Disjunction definition
  6. Implication definition
  7. Predicate definition
  8. Union definition
  9. Sample space definition
  10. Universal quantifier definition
  11. Subset definition
  12. Power set definition
  13. Universal set definition
  14. Complement definition
  15. Sigma-algebra definition
  16. Event definition

Where this leads

375 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Event_(probability_theory), Events in probability spaces
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DefinesEvent
UsesSample space, Sigma-algebra, Subset

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