Lévy's constant explained

In mathematics Lévy's constant (sometimes known as the Khinchin–Lévy constant) occurs in an expression for the asymptotic behaviour of the denominators of the convergents of continued fractions.In 1935, the Soviet mathematician Aleksandr Khinchin showed[1] that the denominators qn of the convergents of the continued fraction expansions of almost all real numbers satisfy

\limn

1/n
{q
n}

=e\beta

Soon afterward, in 1936, the French mathematician Paul Lévy found[2] the explicit expression for the constant, namely

e\beta=

\pi2/(12ln2)
e

=3.275822918721811159787681882\ldots

The term "Lévy's constant" is sometimes used to refer to

\pi2/(12ln2)

(the logarithm of the above expression), which is approximately equal to 1.1865691104… The value derives from the asymptotic expectation of the logarithm of the ratio of successive denominators, using the Gauss-Kuzmin distribution. In particular, the ratio has the asymptotic density function
f(z)=1
z(z+1)ln(2)

for

z\geq1

and zero otherwise. This gives Lévy's constant as
inftylnz
z(z+1)ln2
\beta=\int
1
1lnz-1
(z+1)ln2
dz=\intdz=
0
\pi2
12ln2
.

The base-10 logarithm of Lévy's constant, which is approximately 0.51532041…, is half of the reciprocal of the limit in Lochs' theorem.

Proof

[3]

The proof assumes basic properties of continued fractions.

Let

T:x\mapsto1/x\mod1

be the Gauss map.

Lemma

|\ln x - \ln p_n(x)/q_n(x)| \leq 1/q_n(x) \leq 1/F_nwhere F_n is the Fibonacci number.

Proof. Define the function f(t) = \ln\frac. The quantity to estimate is then

|f(Tnx)-f(0)|

.

By the mean value theorem, for any t\in [0, 1], |f(t)-f(0)| \leq \max_|f'(t)| = \max_ \frac = \frac \leq \frac The denominator sequence

q0,q1,q2,...

satisfies a recurrence relation, and so it is at least as large as the Fibonacci sequence

1,1,2,...

.

Ergodic argument

Since p_n(x) = q_(Tx), and p_1 = 1, we have-\ln q_n = \ln\frac + \ln\frac + \dots + \ln\fracBy the lemma, -\ln q_n = \ln x + \ln Tx + \dots + \ln T^x + \delta

where |\delta| \leq \sum_^\infty 1/F_n is finite, and is called the reciprocal Fibonacci constant.

By the Birkhoff's ergodic theorem, the limit \lim_\frac converges to \int_0^1 (-\ln t)\rho(t) dt = \frac almost surely, where

\rho(t)=

1
(1+t)ln2
is the Gauss distribution.

See also

References

  1. Reference given in Dover book
  2. Reference given in Dover book
  3. Ergodic Theory with Applications to Continued Fractions, UNCG Summer School in Computational Number Theory University of North Carolina Greensboro May 18 - 22, 2020.

    Lesson 9: Applications of ergodic theory

Further reading