Definition:Event/Occurrence/Intersection
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Definition
Let the probability space of an experiment $\EE$ be $\struct {\Omega, \Sigma, \Pr}$.
Let $A, B \in \Sigma$ be events, so that $A \subseteq \Omega$ and $B \subseteq \Omega$.
Let the outcome of the experiment be $\omega \in \Omega$.
Let $\omega \in A \cap B$, where $A \cap B$ denotes the intersection of $A$ and $B$.
Then both $A$ and $B$ occur.
Also denoted as
Some sources denote the occurrence of both $A$ and $B$ as $A B$.
Examples
Both Prime and Even
Consider the experiment $\EE$ such that $2$ (positive) integers are drawn at random from a table of random numbers.
Let $A$ be the event that at least $1$ of these integers is prime.
Let $B$ be the event that at least $1$ of these integers is even.
Then their intersections $A \cap B$ means:
That is, either:
or:
Also see
- Definition:Union of Events
- Definition:Difference of Events
- Definition:Symmetric Difference of Events
- Results about intersections of events can be found here.
Sources
- 1965: A.M. Arthurs: Probability Theory ... (previous) ... (next): Chapter $2$: Probability and Discrete Sample Spaces: $2.2$ Sample spaces and events
- 1968: A.A. Sveshnikov: Problems in Probability Theory, Mathematical Statistics and Theory of Random Functions (translated by Richard A. Silverman) ... (previous) ... (next): $\text I$: Random Events: $1$. Relations among Random Events
- 1986: Geoffrey Grimmett and Dominic Welsh: Probability: An Introduction ... (previous) ... (next): $1$: Events and probabilities: $1.2$: Outcomes and events