This site is supported by donations to The OEIS Foundation.

Buffon's constant

From OeisWiki

Jump to: navigation, search

This article page is a stub, please help by expanding it.



Buffon's constant is \scriptstyle \frac{2}{\pi} \,. Its decimal expansion is 0.63661977236758... (see A060294) and its continued fraction is

{\cfrac{1}{1 + \cfrac{1}{1 + \cfrac{1}{1 + \cfrac{1}{3 + \cfrac{1}{31 + \cfrac{1}{1 + \ddots}}}}}}}\,

(see A053300).

Like many other numbers involving π, Buffon's constant can be expressed as an infinite sum or product:

\frac{2}{\pi} = \prod_{n = 2}^{\infty} \frac{p_n + 2 - (p_n \mod 4)}{p_n} = \frac{2}{3} \times \frac{6}{5} \times \frac{6}{7} \times \frac{10}{11} \times \ldots

(where pn is the nth prime number)[1];

\frac{2}{\pi} = 1 + \sum_{n = 1}^{\infty} (-1)^{n}(4n + 1) \left(\frac{\prod_{i = 1}^n 2i - 1}{\prod_{j = 1}^n 2 j}\right)^3 = 1 - 5\left(\frac{1}{2}\right)^3 + 9\left(\frac{3}{8}\right)^3 - 13\left(\frac{5}{16}\right)^3 + \ldots

It is also the limit \lim_{n \to \infty} \frac{z(n)}{\log n}, where z(n) is the expected number of real zeros of a random polynomial of degree n with real coefficients chosen from a standard Gaussian distribution.[2]

Theorem. The probability \scriptstyle P(l,\, d) \, that a needle of length \scriptstyle l \, will randomly land on a line, given a floor with equally spaced parallel lines at a distance \scriptstyle d \,\geq\, l \, apart, assuming that the angle and the position of the fallen needle are independently and uniformly random, is \scriptstyle P(l,\, d) \,=\, \frac{2}{\pi} \cdot \frac{l}{d} \,.

Proof. If the needle always fell perpendicular (angle \scriptstyle \theta \,=\, \frac{\pi}{2} \, radians) to the parallel lines, we would have \scriptstyle P_{\perp}(l,\, d) \,=\, \frac{l}{d} \,. So we have

P(l, d) \,=\, \left( \int_{0}^{\pi} \sin \theta \cdot \frac{d\theta}{\pi} \right) \cdot P_{\perp}(l, d) = \left( \frac{- [\cos \theta]_{0}^{\pi}}{\pi} \right) \cdot \frac{l}{d} = \frac{2}{\pi} \cdot \frac{l}{d} \,

as specified by the theorem. □

  1. David Blatner, The Joy of Pi. New York: Walker & Company (1997): 119, circle by upper right corner.
  2. S. R. Finch, Mathematical Constants, Encyclopedia of Mathematics and its Applications, vol. 94, Cambridge University Press, p. 141
Personal tools