Math 2.0

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.

  1. Let (Ω,ℱ,P)(\Omega, \mathcal{F}, P) be a probability space and let A1,…,An∈ℱA_1, \dots, A_n \in \mathcal{F} with n≥2n \ge 2 and P(A1∩⋯∩An−1)>0P(A_1 \cap \dots \cap A_{n-1}) > 0.
  2. For 1≤k≤n1 \le k \le n let Ck=A1∩⋯∩AkC_k = A_1 \cap \dots \cap A_k. Each CkC_k is in ℱ\mathcal{F}, because ℱ\mathcal{F} is a σ-algebra.
  3. Let 1≤k≤n−11 \le k \le n - 1. Then Cn−1⊆CkC_{n-1} \subseteq C_k. By monotonicity of probability, P(Ck)≥P(Cn−1)>0P(C_k) \ge P(C_{n-1}) > 0.
  4. So for 1≤k≤n−11 \le k \le n - 1 the conditional probability P(Ak+1∣Ck)=P(Ak+1∩Ck)/P(Ck)P(A_{k+1} \mid C_k) = P(A_{k+1} \cap C_k) / P(C_k) is defined.
  5. Since Ak+1∩Ck=Ck+1A_{k+1} \cap C_k = C_{k+1}, step 4 gives P(Ck+1)=P(Ck) P(Ak+1∣Ck)P(C_{k+1}) = P(C_k) \, P(A_{k+1} \mid C_k) for 1≤k≤n−11 \le k \le n - 1.
  6. We claim that P(Cm)=P(A1)∏k=1m−1P(Ak+1∣Ck)P(C_m) = P(A_1) \prod_{k=1}^{m-1} P(A_{k+1} \mid C_k) for 1≤m≤n1 \le m \le n. For m=1m = 1 the product is empty and the claim reads P(C1)=P(A1)P(C_1) = P(A_1), which holds since C1=A1C_1 = A_1.
  7. Suppose the claim holds for some mm with 1≤m≤n−11 \le m \le n - 1. Step 5 with k=mk = m multiplies P(Cm)P(C_m) by P(Am+1∣Cm)P(A_{m+1} \mid C_m), so the claim holds for m+1m + 1.
  8. The case m=nm = n of the claim reads P(A1∩⋯∩An)=P(A1) P(A2∣A1)⋯P(An∣A1∩⋯∩An−1)P(A_1 \cap \dots \cap A_n) = P(A_1) \, P(A_2 \mid A_1) \cdots P(A_n \mid A_1 \cap \dots \cap A_{n-1}).

Idea

Each factor P(Ak+1∣Ck)P(A_{k+1} \mid C_k) is the ratio P(Ck+1)/P(Ck)P(C_{k+1}) / P(C_k). Multiplying all these ratios and P(A1)P(A_1) gives a telescoping product that leaves P(Cn)P(C_n). 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.

  1. Construction of the reals from Cauchy sequences concept
  2. Element definition
  3. Integers object
  4. Ordered field definition
  5. Proposition concept
  6. Random experiment concept
  7. Rational numbers object
  8. Real numbers object
  9. Set bounded above definition
  10. Set definition
  11. Ring of integers statement
  12. Archimedean ordered field definition
  13. Disjunction definition
  14. Implication definition
  15. Predicate definition
  16. The reals form a field statement
  17. Supremum definition
  18. Ordered pair definition
  19. Union definition
  20. Sample space definition
  21. The rationals form a field statement
  22. Universal quantifier definition
  23. Completeness axiom statement
  24. Cartesian product definition
  25. Subset definition
  26. The rationals form an ordered field statement
  27. Binary relation definition
  28. Universal set definition
  29. Order on the reals definition
  30. Power set definition
  31. Antisymmetric relation definition
  32. Reflexive relation definition
  33. Transitive relation definition
  34. Complement definition
  35. Interval definition
  36. Preorder definition
  37. Sigma-algebra definition
  38. Partial order definition
  39. Event definition
  40. Total order definition
  41. Probability axioms concept
  42. Probability measure definition
  43. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  44. Probability space definition
  45. The reals form an ordered field statement
  46. Conditional probability definition
  47. Proof of the approximation property of the supremum proof
  48. Approximation property of the supremum statement
  49. Proof that the reals are Archimedean from the completeness axiom proof
  50. The reals are Archimedean statement
  51. Proof of the probability of the complement proof
  52. Probability of the complement statement
  53. Proof of the monotonicity of probability proof
  54. Monotonicity of probability statement
  55. Proof of the multiplication rule proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Chain_rule_(probability), Chain rule for events
About this page
TagSSKG51ZSEY
URIm2://SSKG51ZSEY
Kindproof
WritingW0 stub
MSC60A05
ProvesMultiplication rule
UsesProbability space, Conditional probability, Monotonicity of probability, Sigma-algebra
Changed4 November 2026

Markdown · JSON · Edit on GitHub

What this page needs for W1

  • an inventory row: the row of the inventory that the node accounts for (0 of 1)

The writing levels say how complete the text of a page is. They do not measure its truth.

What links here

No page links to this page yet.