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Let $A \in \Sigma$ be an event in $\EE$.
The complementary event to $A$ is defined as $\relcomp \Omega A$.
The complementary event to $A$ is also referred to as the opposite event.
It can also be denoted $\overline A$.
- Results about complementary events can be found here.
- 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