Event independence
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Two events are independent when their intersection probability equals the product of their marginal probabilities; this definition does not rely on conditioning on a zero-probability event.
mko-event-independence · definition · v0.10.0
Mathematical statement
In one probability space, A and B are independent iff P(A∩B)=P(A)P(B). If P(B)>0, this is equivalent to P(A|B)=P(A). For P(B)=0, an undefined conditional probability must not replace the product definition.
Representative formula (exact TeX)
I(A,B)
Assumptions
- The sample space, exact rational masses and event subsets are completely explicit.
- Only two events are handled; pairwise independence does not stand in for mutual independence of three events.
Symbol scope
A— first eventB— second eventP— common probability measure
Intuition, definition, and misconceptions
The primary qualification always uses the intersection-product equation.
With a positive denominator the conditional equivalence can be checked.
Independence involving an event's complement follows from the same product equation.
Disjointness is not independence; do not calculate the elementary conditional ratio when P(B)=0 or infer mutual independence from pairwise independence.
Adopted derivation guide
Event independence: deciding by the product rule, with the conditional form, complements and a zero-probability eventThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Event — A, B and their intersection belong to the same event space.
- Probability on finite sample spaces — The product definition uses the same probability measure.
- Conditional probability in finite models — The conditional equivalence is used only with positive denominator.
Verification boundary
Only two events in the same complete finite probability model are checked; no mutual-independence conclusion about an event family follows.
not_formalized
This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.
Next obligation
Add independence of random variables.
Same-source structured data
This page and the interactive view use the same object and existing language edition; this adds no proof or human review.
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