Independent Events are Independent of Complement/General Result
Theorem
Let $A_1, A_2, \ldots, A_m$ be events in a probability space $\struct {\Omega, \Sigma, \Pr}$.
Then $A_1, A_2, \ldots, A_m$ are independent if and only if $\Omega \setminus A_1, \Omega \setminus A_2, \ldots, \Omega \setminus A_m$ are also independent.
Proof
Proof by induction:
For all $n \in \N: n \ge 2$, let $\map P n$ be the proposition:
- $A_1, A_2, \ldots, A_n$ are independent if and only if $\Omega \setminus A_1, \Omega \setminus A_2, \ldots, \Omega \setminus A_n$ are independent.
Basis for the Induction
$\map P 2$ is the case:
- $A_1$ and $A_2$ are independent if and only if $\Omega \setminus A_1$ and $\Omega \setminus A_2$ are independent.
This is proved in Independent Events are Independent of Complement: Corollary.
This is our basis for the induction.
Induction Hypothesis
Now we need to show that, if $\map P k$ is true, where $k \ge 2$, then it logically follows that $\map P {k + 1}$ is true.
So this is our induction hypothesis:
- $A_1, A_2, \ldots, A_k$ are independent if and only if $\Omega \setminus A_1, \Omega \setminus A_2, \ldots, \Omega \setminus A_k$ are independent.
Then we need to show:
- $A_1, A_2, \ldots, A_{k + 1}$ are independent if and only if $\Omega \setminus A_1, \Omega \setminus A_2, \ldots, \Omega \setminus A_{k + 1}$ are independent.
Induction Step
This is our induction step.
Suppose $A_1, A_2, \ldots, A_{k + 1}$ are independent.
Then:
\(\ds \map \Pr {\bigcap_{i \mathop = 1}^{k + 1} A_i}\) | \(=\) | \(\ds \map \Pr {\bigcap_{i \mathop = 1}^k A_i \cap A_{k + 1} }\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \prod_{i \mathop = 1}^k \map \Pr {A_i} \times \map \Pr {A_{k + 1} }\) | as all of the $A_1, A_2, \ldots, A_k, A_{k + 1}$ are independent | |||||||||||
\(\ds \) | \(=\) | \(\ds \map \Pr {\bigcap_{i \mathop = 1}^k A_i} \times \map \Pr {A_{k + 1} }\) |
So we see that $\ds \bigcap_{i \mathop = 1}^k A_i$ and $A_{k + 1}$ are independent.
So $\ds \bigcap_{i \mathop = 1}^k A_i$ and $\Omega \setminus A_{k + 1}$ are independent.
So, from the above results, we can see that $\Omega \setminus A_1, \Omega \setminus A_2, \ldots, \Omega \setminus A_{k + 1}$ are independent.
So $\map P k \implies \map P {k + 1}$ and the result follows by the Principle of Mathematical Induction.
The reverse implication follows directly.
Therefore:
- $A_1, A_2, \ldots, A_n$ are independent if and only if $\Omega \setminus A_1, \Omega \setminus A_2, \ldots, \Omega \setminus A_n$ are independent.
$\blacksquare$
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Sources
- 1986: Geoffrey Grimmett and Dominic Welsh: Probability: An Introduction ... (previous) ... (next): $\S 1.7$: Independent Events: Exercise $23$