Refinement monoid: Difference between revisions
en>ChrisGualtieri m →References: Typo fixing, typos fixed: , → , using AWB |
en>ChrisGualtieri m General Fixes using AWB |
||
Line 1: | Line 1: | ||
'''Banach's match problem''' is a classic problem in [[probability]] attributed to [[Stefan Banach]]. Feller <ref> Feller, William, An Introduction to Probability Theory And Its Applications, Third Edition, Wiley, 1968, Chapter VI, section 8 </ref> says that the problem was inspired by a humorous reference to Banach's smoking habit in a speech honouring him by H. Steinhaus, but that it was not Banach who set the problem or provided an answer. | |||
Suppose a mathematician carries two matchboxes at all times: one in his left pocket and one in his right. Each time he needs a match, he is equally likely to take it from either pocket. Suppose he reaches into his pocket and discovers for the first time that the box picked is empty. If it is assumed that each of the matchboxes originally contained <math>N</math> matches, what is the probability that there are exactly <math>k</math> matches in the other box? | |||
==Solution== | |||
Without loss of generality consider the case where the matchbox in his right pocket has an unlimited number of matches and let M be the number of matches removed from this one before the left one is found to be empty. When the left pocket is found to be empty, the man has chosen that pocket (N+1) times. Then M is the number of successes before (N+1) failures in Bernoulli trials with p=1/2, which has the [[negative binomial distribution]] and thus | |||
:<math>P[M=m] = \binom{N+m}{m}\left(\frac{1}{2}\right)^{N+1+m}</math>. | |||
Returning to the original problem, we see that the probability that the left pocket is found to be empty first is <math>P[M<N+1]</math> which equals 1/2 because both are equally likely. We see that the number K of matches remaining in the other pocket is | |||
:<math>P[K=k] = P[M=N-k|M<N+1] = 2P[M=N-k] = \binom{2N-k}{N}\left(\frac{1}{2}\right)^{2N-k}</math>. | |||
==References== | |||
{{Reflist}} | |||
==External links== | |||
* [http://www-stat.stanford.edu/~susan/surprise/Banach.html Java applet] | |||
[[Category:Applied probability]] | |||
[[Category:Named probability problems]] |
Revision as of 01:54, 24 October 2013
Banach's match problem is a classic problem in probability attributed to Stefan Banach. Feller [1] says that the problem was inspired by a humorous reference to Banach's smoking habit in a speech honouring him by H. Steinhaus, but that it was not Banach who set the problem or provided an answer.
Suppose a mathematician carries two matchboxes at all times: one in his left pocket and one in his right. Each time he needs a match, he is equally likely to take it from either pocket. Suppose he reaches into his pocket and discovers for the first time that the box picked is empty. If it is assumed that each of the matchboxes originally contained matches, what is the probability that there are exactly matches in the other box?
Solution
Without loss of generality consider the case where the matchbox in his right pocket has an unlimited number of matches and let M be the number of matches removed from this one before the left one is found to be empty. When the left pocket is found to be empty, the man has chosen that pocket (N+1) times. Then M is the number of successes before (N+1) failures in Bernoulli trials with p=1/2, which has the negative binomial distribution and thus
Returning to the original problem, we see that the probability that the left pocket is found to be empty first is which equals 1/2 because both are equally likely. We see that the number K of matches remaining in the other pocket is
References
43 year old Petroleum Engineer Harry from Deep River, usually spends time with hobbies and interests like renting movies, property developers in singapore new condominium and vehicle racing. Constantly enjoys going to destinations like Camino Real de Tierra Adentro.
External links
- ↑ Feller, William, An Introduction to Probability Theory And Its Applications, Third Edition, Wiley, 1968, Chapter VI, section 8