Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10 5/3/83; site princeton.UUCP Path: utzoo!linus!decvax!harpo!gummo!whuxlb!pyuxll!eisx!npoiv!npois!hogpc!houxm!mhuxi!mhuxj!mhuxl!achilles!ulysses!princeton!levy From: levy@princeton.UUCP Newsgroups: net.math Subject: Re: circle probability (spoiler) Message-ID: <66@princeton.UUCP> Date: Sun, 18-Sep-83 01:36:47 EDT Article-I.D.: princeto.66 Posted: Sun Sep 18 01:36:47 1983 Date-Received: Mon, 19-Sep-83 01:07:44 EDT References: <33@ism780.UUCP> Organization: Princeton University Lines: 23 Jim Balter's solution to the circle problem is wrong. I have run the simulation and the result for n=4 agrees with my result, 1/2. Moreover I have an inductive proof that the probability for arbitrary n is equal to n/(2^(n-1)). The proof goes like this (very sketchily): The distribution of probabilities for n-1 points to be in a segment of length at most x is at worst a polynomial of degree n-2 in x; this is seen by induction since it is obtained by integration of the distr. of prob. for n-2 points. Now for x small we have (Probability of n points in a segment of length x) ~ coeff*x^(n-2); this means there is *only* one term in the polynomial, and that's the highest term. Now for y=1 the probability is P(n-1), so the coefficient of the monomial is P(n-2)/pi^(n-2), the probability distribution is P(n-2)* x^(n-2)/pi^(n-2), and the density function is (n-2)*P(n-1)*x^(n-3)/pi^(n-2). Adding the n-th point means integrating the function 1-(x/2pi) with the density above. Assuming that P(n-1) is given by the formula (n-1)/(2^(n-2)) (which is certainly true for n=2, so the induction is valid), we finally get, with a little bit of work, P(n)=n / 2^(n-1), proving the induction. Some values: P(3) = .75, P(4) = .5, P(5) = 5/16 = .3125, P(6) = 3/16 = .1875. -- Silvio Levy