Probability theory and stochastic processes Proof
Proof of the multiplication rule
Builds on Probability spaceConditional probabilityMonotonicity of probabilitySigma-algebra
Proof
We argue by induction on the number of events in the intersection.
- Let be a probability space and let with and .
- For let . Each is in , because is a σ-algebra.
- Let . Then . By monotonicity of probability, .
- So for the conditional probability is defined.
- Since , step 4 gives for .
- We claim that for . For the product is empty and the claim reads , which holds since .
- Suppose the claim holds for some with . Step 5 with multiplies by , so the claim holds for .
- The case of the claim reads .
Idea
Each factor is the ratio . Multiplying all these ratios and gives a telescoping product that leaves . The hypothesis on the last intersection makes all the denominators positive.
Reading path
To understand this page from the ground up, read these 55 pages in order. The foundations come first. The path takes the proofs Proof of the approximation property of the supremum, Proof of the probability of the complement, Proof that the reals form an ordered field, with the Cauchy sequence construction, Proof of the monotonicity of probability, Proof that the reals are Archimedean from the completeness axiom.
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Real numbers object
- Set bounded above definition
- Set definition
- Ring of integers statement
- Archimedean ordered field definition
- Disjunction definition
- Implication definition
- Predicate definition
- The reals form a field statement
- Supremum definition
- Ordered pair definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Universal quantifier definition
- Completeness axiom statement
- Cartesian product definition
- Subset definition
- The rationals form an ordered field statement
- Binary relation definition
- Universal set definition
- Order on the reals definition
- Power set definition
- Antisymmetric relation definition
- Reflexive relation definition
- Transitive relation definition
- Complement definition
- Interval definition
- Preorder definition
- Sigma-algebra definition
- Partial order definition
- Event definition
- Total order definition
- Probability axioms concept
- Probability measure definition
- Proof that the reals form an ordered field, with the Cauchy sequence construction proof
- Probability space definition
- The reals form an ordered field statement
- Conditional probability definition
- Proof of the approximation property of the supremum proof
- Approximation property of the supremum statement
- Proof that the reals are Archimedean from the completeness axiom proof
- The reals are Archimedean statement
- Proof of the probability of the complement proof
- Probability of the complement statement
- Proof of the monotonicity of probability proof
- Monotonicity of probability statement
- Proof of the multiplication rule proof
Where this leads
1 page builds on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Chain_rule_(probability), Chain rule for events
About this page
| Tag | SSKG51ZSEY |
|---|---|
| URI | m2://SSKG51ZSEY |
| Kind | proof |
| Writing | W0 stub |
| MSC | 60A05 |
| Proves | Multiplication rule |
| Uses | Probability space, Conditional probability, Monotonicity of probability, Sigma-algebra |
| Changed | 4 November 2026 |
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