Addition Law of Probability/Proof 2
Jump to navigation
Jump to search
Theorem
- $\map \Pr {A \cup B} = \map \Pr A + \map \Pr B - \map \Pr {A \cap B}$
Proof
From Set Difference and Intersection form Partition:
- $A$ is the union of the two disjoint sets $A \setminus B$ and $A \cap B$
- $B$ is the union of the two disjoint sets $B \setminus A$ and $A \cap B$.
So, by the definition of probability measure:
- $\map \Pr A = \map \Pr {A \setminus B} + \map \Pr {A \cap B}$
- $\map \Pr B = \map \Pr {B \setminus A} + \map \Pr {A \cap B}$
From Set Difference is Disjoint with Reverse:
- $\paren {A \setminus B} \cap \paren {B \setminus A} = \O$
Hence:
\(\ds \map \Pr A + \map \Pr B\) | \(=\) | \(\ds \map \Pr {A \setminus B} + 2 \map \Pr {A \cap B} + \map \Pr {B \setminus A}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {\paren {A \setminus B} \cup \paren {A \cap B} \cup \paren {B \setminus A} } + \map \Pr {A \cap B}\) | Set Differences and Intersection form Partition of Union | |||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {A \cup B} + \map \Pr {A \cap B}\) |
Hence the result.
$\blacksquare$
Sources
- 1986: Geoffrey Grimmett and Dominic Welsh: Probability: An Introduction ... (previous) ... (next): $1$: Events and probabilities: $1.4$: Probability spaces: $(15)$