AoPSWiki
Try our innovative online adaptive learning system, Alcumus.
Over 1100 problems and 60+ video lessons. FREE!

Pi

From AoPSWiki

Pi is an irrational number (in fact, transcendental number, as proved by Lindemann in 1882) denoted by the greek letter \pi.

Contents

Definition

Pi is the ratio of the circumference (perimeter) of a given circle to its diameter. It is approximately equal to 3.141592653. The number pi is one of the most important constants in all of mathematics and appears in some of the most surprising places, such as in the sum \sum_{n=1}^\infty \frac{1}{n^2}=\frac{\pi^2}{6}. Some common fractional approximations for pi are \frac{22}{7} \approx 3.14285 and \frac{355}{113} \approx 3.1415929.

The number pi often shows up in problems in number theory, particularly algebraic number theory. For example, many class number formulae involve pi.

Approximating pi

\pi can be calculated in several ways, and it can also be approximated. One way to approximate \pi is to inscribe a unit circle in a square of side length 2. Using a computer, random points are placed inside the square. Because the area of the circle is \pi, and the area of the square is 4, the ratio of the amount of points inside the circle to the total number of points approximates \frac{\pi}{4}. This can simply be multiplied by 4 to approximate \pi.

One formula for pi is 4\left( \sum_{i = 0}^\infty (-1)^i \left(\frac{1}{2n+1}\right)\right). This can be computed to the desired degree of accuracy.

Other interesting properties

  • Letting \theta = \pi in Euler's identity gives e^{\pi i} + 1 = 0, which is considered to be one of the most beautiful results in mathematics since it involves five of the greatest constants: e, pi, i, 1, and 0.

Proof that \pi is not Liouvillian

In this section we'll outline the Beukers proof that \pi is not Liouvillian, i.e., that \left|\pi-\frac pq\right|\ge \frac 1{q^M} for large q with some fixed positive M. The best known value of M is currently (June, 1993) M=8.02 and is due to Hata. This article can be read right after its parent article rational approximation of famous numbers, but an unexperienced reader may prefer to read the proof that ln 2 is not Liouvillian first.

Beukers' Proof

Preliminaries

Note that if x is Liouvillian, then so is any rational multiple of any positive integer power of x (this is a simple exercise we leave to the reader), so, it will suffice to show that \frac{\pi^2}6 is not Liouvillian.

Euler's identity

\frac{\pi^2}6=\sum_{m=1}^{\infty}\frac 1{m^2}

The Beukers integral

Consider the integrals I(k,\ell):=\iint_{(0,1)\times(0,1)}\frac {x^ky^\ell}{1-xy}\,dx\,dy. Expanding \frac 1{1-xy}=\sum_{j=0}^\infty x^jy^j and integrating term by term, we get I(k,\ell)=\sum_{j=0}^{\infty}\frac1{(k+j+1)(\ell+j+1)}.

If k=\ell, we get the sum of all inverse squares starting with \frac 1{(k+1)^2}, so in this case,

I(k,\ell)=\frac {\pi^2}{6}-\frac 1{1^2}-\frac 1{2^2}-\dots-\frac 1{k^2}.

On the other hand, if k>\ell, we get

I(k,\ell)=\frac 1{k-\ell}\sum_{j=0}^\infty\left[\frac 1{\ell+j+1}-\frac {1}{k+j+1}\right]=\frac 1{k-\ell}\left[\frac 1{\ell+1...

Similarly, if \ell>k, we get

I(k,\ell)=\frac 1{\ell-k}\left[\frac 1{k+1}+\frac 1{k+2}+\dots+\frac 1\ell\right]

Let now D_n be the least common multiple of 1,2,\dots,n. It follows immediately from the above formulae for I(k,\ell) that for every polynomial R(x,y) with integer coefficients whose degree in both x and y does not exceed n, we have

D_n^2\iint_{(0,1)\times(0,1)}\frac {R(x,y)}{1-xy}\,dx\,dy=P_n-Q_n\frac{\pi^2}{6} where P_n,Q_n\in \mathbb Z.

The trick is to choose a polynomial R(x,y) that makes the integral very small. We put

R(x,y)=\frac 1{n!}(1-y)^n\left(\frac d{dx}\right)^n [x^n(1-x)^n].

Note that R(x,y) has integer coefficients as a product of two polynomials with integer coefficients.


Estimate of D_n

Since the largest possible power of a given prime p\le n that can divide one of the numbers 1,2,\dots,n is \left\lfloor\frac{\log n}{\log p}\right\rfloor where \lfloor\cdot\rfloor is the floor function, we have D_n=\prod_{p\mathrm{\  prime,}\,p\le n}p^{\left\lfloor\frac{\log n}{\log p}\right\rfloor}\approx n^{\pi(n)} where \pi(n) is the number of primes not exceeding n. According to the prime number theorem, we have \pi(n)\approx \frac n{\log n}, so D_n\approx e^n. (The exact meaning of the \approx sign here is that, as n\to\infty, the ratio of the n-th roots of the left and the right sides tends to 1. Note also that we need the full strength of the prime number theorem here. The elementary Chebyshev's estimate D_n\le n^{\sqrt n}\cdot 4^n is no longer sufficient).

Estimates of the integral \iint_{(0,1)\times(0,1)}\frac {R(x,y)}{1-xy}\,dx\,dy

Integrating n times by parts with respect to x, we see that our integral equals \iint_{(0,1)\times(0,1)}\left[\frac {x(1-x)y(1-y)}{1-xy}\right]^n\,\frac {dx\,dy}{1-xy}. We want to estimate \max_{0<x,y<1}\frac {x(1-x)y(1-y)}{1-xy}. The first remark is that it is attained on the diagonal x=y. It becomes clear if we rewrite the fraction as \frac {xy(1-x-y+xy)}{1-xy} and recall that for a fixed product xy the minimum of the sum x+y is achieved when x=y. So, we need to find the maximum of \frac {x^2(1-x)^2}{1-x^2}=\frac {x^2(1-x)}{1+x} over the interval (0,1). Taking the logarithmic derivative and solving the resulting quadratic equation \frac 2x-\frac 1{1-x}-\frac 1{1+x}=0, we see that the maximum is attained at the point x=\frac{\sqrt 5-1}{2} and equals \frac{5\sqrt 5-11}2. It means that the integral does not exceed \left(\frac{5\sqrt 5-11}2\right)^n I(0,0)\approx \left(\frac{5\sqrt 5-11}2\right)^n.

On the other hand, to estimate the integral from below, it suffices to notice that the integrand is at least \frac 4{81} for \frac 1 3\le x,y\le\frac 2 3. Thus, the integral is not much less than \left(\frac 4{81}\right)^n.

A small miracle

The miracle that makes the proof work is that e^2\cdot\frac{5\sqrt 5-11}2 is strictly less than 1 (just check it on your calculator or prove it by hand yourself). Thus, for large n, the whole product D_n^2\iint_{(0,1)\times(0,1)}\frac {R(x,y)}{1-xy}\,dx\,dy can be estimated from above and from below by the n-th powers of some constants strictly between 0 and 1. Using the main theorem from the parent article, we see that it remains only to show that Q_n grow not faster than some geometric progression.

Estimate of Q_n and the end of the proof

Note that Q_n is just minus the product of D_n^2, which grows like e^{2n} and the sum of the coefficients of the polynomial R(x,y) at the products x^ky^k with k=0,\dots,n. It follows that |Q_n| does not exceed the sum of coefficients of (1-y)^n, which is 2^n, times the maximal coefficient of \frac 1{n!}\left(\frac d{dx}\right)^n[x^n(1-x)^n]. But even the sum of the absolute values of the coefficients of this polynomial does not exceed 8^n. So |Q_n| grows not much faster than (16e^2)^n and we are done.

Want to learn how to tackle those tough AMC/AIME/Olympiad counting and probability problems? Check out Art of Problem Solving's Intermediate Counting & Probability by David Patrick.
© Copyright 2008 AoPS Incorporated. All Rights Reserved. • FoundationPrivacyContact Us