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PROOF 163

Prove.

The addition rule for mutually exclusive events

On a probability space.

A way to read this proof

First separate what is assumed from what is to be proved. At each step, ask which definition or earlier result permits the move. If it is unclear, return to that premise rather than skipping to the conclusion.

Definition D1

Two events are called disjoint when X ∩ Y = ∅. Events A₁, …, Aₙ are called mutually disjoint when every two distinct ones are disjoint.

Proof.

Two disjoint events do not occur simultaneously.convention

∎

Theorem T1

If A₁, …, Aₙ are mutually disjoint, then P(A₁ ∪ ⋯ ∪ Aₙ) = P(A₁) + ⋯ + P(Aₙ)

Proof.

(1)For n = 2 this is additivity itself.A2, D1
(2)Suppose it holds for n = k.assumption
(3)Let B = A₁ ∪ ⋯ ∪ A_k.convention
(4)B ∩ A_{k+1} = (A₁ ∩ A_{k+1}) ∪ ⋯ ∪ (A_k ∩ A_{k+1})(3), A4, A5
(5)Each term is empty, so B ∩ A_{k+1} = ∅, and B and A_{k+1} are disjoint.(4), assumption, D1
(6)P(B ∪ A_{k+1}) = P(B) + P(A_{k+1})(5), A2
(7)P(B) = P(A₁) + ⋯ + P(A_k)(2), (3)
(8)A₁ ∪ ⋯ ∪ A_{k+1} = B ∪ A_{k+1}(3), A5
(9)P(A₁ ∪ ⋯ ∪ A_{k+1}) = P(A₁) + ⋯ + P(A_{k+1})(6), (7), (8), E
(10)By induction, the statement holds for all n ≥ 2.(1), (9), A3

∎

Theorem T2

For two events not assumed disjoint, P(A ∪ B) = P(A) + P(B) − P(A ∩ B)

Proof.

(1)A ∪ B = (A∖B) ∪ (A∩B) ∪ (B∖A), and the three events are mutually disjoint.A6, D1
(2)P(A ∪ B) = P(A∖B) + P(A∩B) + P(B∖A)(1), T1
(3)A = (A∖B) ∪ (A∩B), and the two events are disjoint.A7, D1
(4)P(A) = P(A∖B) + P(A∩B)(3), A2
(5)B = (A∩B) ∪ (B∖A), and the two events are disjoint.A8, D1
(6)P(B) = P(A∩B) + P(B∖A)(5), A2
(7)P(A) + P(B) = P(A∖B) + P(A∩B) + P(B∖A) + P(A∩B)(4), (6), E
(8)P(A) + P(B) = P(A ∪ B) + P(A∩B)(2), (7), A9
(9)P(A ∪ B) = P(A) + P(B) − P(A∩B)(8), A10
(10)In P(A) + P(B), the term P(A∩B) appears twice. The subtracted term is not a correction but that duplication itself.(7), (8)

∎

Corollary C1

P(A ∪ B) ≤ P(A) + P(B), with equality if and only if P(A ∩ B) = 0.

Proof.

(1)P(A ∩ B) ≥ 0A1
(2)P(A ∪ B) = P(A) + P(B) − P(A∩B)T2
(3)P(A ∪ B) ≤ P(A) + P(B)(1), (2), A11
(4)By (2), the difference between the two values is P(A∩B), so equality holds only when P(A∩B) = 0.(2), (3)
(5)If the events are disjoint, then A ∩ B = ∅, and T2 reduces to additivity.(2), D1, A2

∎

Remark

Can A2 be removed from this proof?

This walk extends additivity to n events and to the non-disjoint case. Pull out the root and see how much survives.