Probability theory and stochastic processes Counterexample
Pairwise independent events that are not mutually independent
Builds on Pairwise independenceMutual independence of events
Counterexample
Toss a fair coin two times, so with probability for each outcome. Let be "the first toss is heads", be "the second toss is heads", and be "the two tosses are equal". Then , and , so . Each intersection of two of them is , with probability . So , and are pairwise independent. But , and . So , and are not mutually independent.
Remarks
Here any two of the events determine the third: if and both occur, then occurs. The same idea with fair bits and their sums modulo gives large pairwise independent families. Such families are useful in computer science.
Reading path
To understand this page from the ground up, read these 33 pages in order. The foundations come first.
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- no evidence level
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Universal quantifier definition
- Subset definition
- The rationals form an ordered field statement
- Power set definition
- Universal set definition
- Order on the reals definition
- Complement definition
- Interval definition
- Sigma-algebra definition
- Event definition
- Probability axioms concept
- Probability measure definition
- Probability space definition
- Conditional probability definition
- Independence of two events definition
- Mutual independence of events definition
- Pairwise independence definition
- Pairwise independent events that are not mutually independent counterexample
Further reading
About this page
| Tag | 0AR4B3K5QD |
|---|---|
| URI | m2://0AR4B3K5QD |
| Kind | counterexample |
| Writing | W0 stub |
| MSC | 60A05 |
| Uses | Pairwise independence, Mutual independence of events |
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