Mahler measure explained

In mathematics, the Mahler measure

M(p)

of a polynomial

p(z)

with complex coefficients is defined as

M(p) = |a|\prod_

\ge 1
|\alpha_i| = |a| \prod_^n \max\,where

p(z)

factorizes over the complex numbers

C

asp(z) = a(z-\alpha_1)(z-\alpha_2)\cdots(z-\alpha_n).

The Mahler measure can be viewed as a kind of height function. Using Jensen's formula, it can be proved that this measure is also equal to the geometric mean of

|p(z)|

for

z

on the unit circle (i.e.,

|z|=1

):M(p) = \exp\left(\int_^ \ln(|p(e^)|)\, d\theta \right).

By extension, the Mahler measure of an algebraic number

\alpha

is defined as the Mahler measure of the minimal polynomial of

\alpha

over

Q

. In particular, if

\alpha

is a Pisot number or a Salem number, then its Mahler measure is simply

\alpha

.

The Mahler measure is named after the German-born Australian mathematician Kurt Mahler.

Properties

\forallp,q,M(pq)=M(p)M(q).

p

.[1]

p

is an irreducible monic integer polynomial with

M(p)=1

, then either

p(z)=z,

or

p

is a cyclotomic polynomial.

\mu>1

such that if

p

is an irreducible integer polynomial, then either

M(p)=1

or

M(p)>\mu

.

Higher-dimensional Mahler measure

The Mahler measure

M(p)

of a multi-variable polynomial

p(x1,\ldots,xn)\inC[x1,\ldots,xn]

is defined similarly by the formula[2]

M(p) = \exp\left(\int_0^ \int_0^ \cdots \int_0^ \log \Bigl(\bigl |p(e^, e^, \ldots, e^) \bigr| \Bigr) \, d\theta_1\, d\theta_2\cdots d\theta_n \right).It inherits the above three properties of the Mahler measure for a one-variable polynomial.

The multi-variable Mahler measure has been shown, in some cases, to be related to special valuesof zeta-functions and

L

-functions. For example, in 1981, Smyth[3] proved the formulas m(1+x+y)=\fracL(\chi_,2)where

L(\chi-3,s)

is a Dirichlet L-function, and m(1+x+y+z)=\frac\zeta(3),where

\zeta

is the Riemann zeta function. Here

m(P)=logM(P)

is called the logarithmic Mahler measure.

Some results by Lawton and Boyd

From the definition, the Mahler measure is viewed as the integrated values of polynomials over the torus (also see Lehmer's conjecture). If

p

vanishes on the torus

(S1)n

, then the convergence of the integral defining

M(p)

is not obvious, but it is known that

M(p)

does converge and is equal to a limit of one-variable Mahler measures,[4] which had been conjectured by Boyd.[5] [6]

This is formulated as follows: Let

Z

denote the integers and define
N
Z
+=\{r=(r

1,...,r

N:r
j\ge0 for 1\le

j\leN\}

. If

Q(z1,...,zN)

is a polynomial in

N

variables and

r=(r1,...,r

N
+
define the polynomial

Qr(z)

of one variable by

Q_r(z):=Q(z^,\dots,z^)

and define

q(r)

byq(r) := \min \left\

where

H(s)=max\{|sj|:1\lej\leN\}

.

Boyd's proposal

Boyd provided more general statements than the above theorem. He pointed out that the classical Kronecker's theorem, which characterizes monic polynomials with integer coefficients all of whose roots are inside the unit disk, can be regarded as characterizing those polynomials of one variable whose measure is exactly 1, and that this result extends to polynomials in several variables.

Define an extended cyclotomic polynomial to be a polynomial of the form\Psi(z)=z_1^ \dots z_n^\Phi_m(z_1^\dots z_n^),where

\Phim(z)

is the m-th cyclotomic polynomial, the

vi

are integers, and the

bi=max(0,-vi\deg\Phim)

are chosen minimally so that

\Psi(z)

is a polynomial in the

zi

. Let

Kn

be the set of polynomials that are products of monomials

\pm

c1
z
1

...

cn
z
n
and extended cyclotomic polynomials.

This led Boyd to consider the set of valuesL_n:=\bigl\,and the union _\infty = \bigcup^\infty_L_n. He made the far-reaching conjecture that the set of

{L}infty

is a closed subset of

R

. An immediate consequence of this conjecture would be the truth of Lehmer's conjecture, albeit without an explicit lower bound. As Smyth's result suggests that

L1\subsetneqqL2

, Boyd further conjectures thatL_1\subsetneqq L_2\subsetneqq L_3\subsetneqq\ \cdots .

Mahler measure and entropy

An action

\alphaM

of

Zn

by automorphisms of a compact metrizable abelian group may be associated via duality to any countable module

N

over the ring
\pm1
R=Z[z
1
\pm1
,...,z
n

]

.[7] The topological entropy (which is equal to the measure-theoretic entropy) of this action,

h(\alphaN)

, is given by a Mahler measure (or is infinite).[8] In the case of a cyclic module

M=R/\langleF\rangle

for a non-zero polynomial

F(z1,...,zn)\inZ[z1,\ldots,zn]

the formula proved by Lind, Schmidt, and Ward gives

h(\alphaN)=logM(F)

, the logarithmic Mahler measure of

F

. In the general case, the entropy of the action is expressed as a sum of logarithmic Mahler measures over the generators of the principal associated prime ideals of the module. As pointed out earlier by Lind in the case

n=1

of a single compact group automorphism, this means that the set of possible values of the entropy of such actions is either all of

[0,infty]

or a countable set depending on the solution to Lehmer's problem. Lind also showed that the infinite-dimensional torus

Tinfty

either has ergodic automorphisms of finite positive entropy or only has automorphisms of infinite entropy depending on the solution to Lehmer's problem.[9]

See also

References

External links

Notes and References

  1. Although this is not a true norm for values of

    \tau<1

    .
  2. .
  3. .
  4. .
  5. .
  6. .
  7. Kitchens. Bruce. Schmidt. Klaus. 1989. Automorphisms of compact groups . Ergodic Theory and Dynamical Systems . 9. 4. 691–735. 10.1017/S0143385700005290. free.
  8. Lind. Douglas. Schmidt. Klaus . Ward. Tom. 1990. Mahler measure and entropy for commuting automorphisms of compact groups. Inventiones Mathematicae. 101. 593–629. 10.1007/BF01231517. free.
  9. Lind. Douglas. 1977. The structure of skew products with ergodic group automorphisms. Israel Journal of Mathematics. 28. 3. 205–248. 10.1007/BF02759810. 120160631 .