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A Selection of Problems from A.A. Markov’s Calculus of Probabilities: Problem 3 – Solution to Parts 1 and 2

Author(s): 
Alan Levine (Franklin and Marshall College)

 

Review statement of Problem 3.

 

Solution:   For brevity, let {p(p1)(pm+1)12m}k=Zp, for any number p.

On each draw, the number of selected tickets can represent any set of m numbers from all n numbers 1,2,,n.

Corresponding to this, on one draw we distinguish n(n1)(nm+1)12m equally likely cases, and on k draws, we distinguish  {n(n1)(nm+1)12m}k=Zn equally likely cases.9

Each of the preceding exhaustive and disjoint cases consists of the appearance of k specific sets of m numbers on the k draws considered.

Establishing in this way those cases that we will consider, and showing the total number of them, we proceed to determine the probabilities of the events referred to in the problem by calculating the number of cases favorable to them.

If i specific numbers α1,α2,,αi do not appear, then for one draw, instead of  n(n1)(nm+1)12m, there remain (ni)(ni1)(nim+1)12m cases, and for k draws, we have  {(ni)(ni1)(nim+1)12m}k=Zni cases, instead of {n(n1)(nm+1)12m}k=Zn.

Thus, the probability that, for the k draws considered, i specific numbers do not appear is given by the fraction ZniZn={(ni)(ni1)(nim+1)n(n1)(nm+1)}k.

Then the number of cases for which the i specific numbers α1,α2,,αi do not appear and one specific number β1 does appear can be expressed by the difference ΔZni1=ZniZni1, where according to what we just said, Zni represents the number of cases in which the numbers α1,α2,,αi do not appear, and Zni1 the number of those cases in which, besides the numbers α1,α2,,αi, the number β1 also does not appear.

In a similar manner, the number of cases in which the numbers α1,α2,,αi do not appear and two specific numbers do appear can be expressed by the second difference Δ2Zni2=ΔZni1ΔZni2, where ΔZni1 represents the number of all cases in which the number β1 does appear and the numbers α1,α2,,αi do not appear, and ΔZni2 the number of those cases in which, besides α1,α2,,αi, the number β2 also does not appear.

In view of the possibility of continuing similar reasoning, it is not difficult to conclude that, in general, the number of cases in which i specific numbers do not appear and another l specific numbers do appear can be represented by the lth order difference ΔlZnil, which is equal to: Znil1Zni1+l(l1)12Zni2±Znil.

Then the probability that, in the k draws considered, i specific numbers do not appear and another l specific numbers do appear is equal to10 ΔlZnilZn.

 

Continue to Markov's solution of Problem 3, Parts 3, 4, and 5.

Skip to statement of Problem 4.

 


[9] In other words, Z_p = \binom{p}{m}^k for any p, so that Z_n = \binom{n}{m}^k.

[10] For example, suppose n = 10, m = 3, and k = 5. The total number of outcomes is Z_{10}=\binom{10}{3}^5=120^5. For question (1), let i = 2, so that we consider the number of selections without two numbers \alpha_1 and \alpha_2 in any of the 5 draws. There are Z_8=\binom{8}{3}^5=56^5 such selections. Hence, the probability that \alpha_1 and \alpha_2 do not appear is \frac{Z_8}{Z_{10}}=\frac{56^5}{120^5} \approx 0.02213. For question (2), the number of selections without \alpha_1 and \alpha_2 and containing another number \beta_1 is: \Delta Z_7 = Z_8 - Z_7 = \binom{8}{3}^5-\binom{7}{3}^5 = 498~209~901. Of these, \Delta Z_6 = Z_7 - Z_6 = \binom{7}{3}^5 - \binom{6}{3}^5 = 49~321~875 do not contain some other number \beta_2. So, the number of selections without \alpha_1 and \alpha_2 and containing \beta_1 and \beta_2 is: \Delta^2 Z_6 = \Delta Z_7 - \Delta Z_6 = Z_8 - 2 Z_7 + Z_6 = 448~888~026, and the probability of this event is \frac{\Delta^2 Z_6}{Z_{10}} = \frac{448~888~026}{120^5} \approx 0.01804. Similarly, \frac{\Delta^3 Z_5}{Z_{10}} = \frac{Z_8 - 3Z_7 + 3Z_6 - Z_5}{120^5} \approx 0.01618.

 

Alan Levine (Franklin and Marshall College), "A Selection of Problems from A.A. Markov’s Calculus of Probabilities: Problem 3 – Solution to Parts 1 and 2," Convergence (November 2023)

A Selection of Problems from A.A. Markov’s Calculus of Probabilities