Zech's logarithm explained

Zech logarithms are used to implement addition in finite fields when elements are represented as powers of a generator

\alpha

.

Zech logarithms are named after Julius Zech, and are also called Jacobi logarithms, after Carl G. J. Jacobi who used them for number theoretic investigations.

Definition

\alpha

of a finite field, the Zech logarithm relative to the base

\alpha

is defined by the equation
Z\alpha(n)
\alpha

=1+\alphan,

which is often rewritten as

Z\alpha(n)=log\alpha(1+\alphan).

The choice of base

\alpha

is usually dropped from the notation when it is clear from the context.

To be more precise,

Z\alpha

is a function on the integers modulo the multiplicative order of

\alpha

, and takes values in the same set. In order to describe every element, it is convenient to formally add a new symbol

-infty

, along with the definitions

\alpha-infty=0

n+(-infty)=-infty

Z\alpha(-infty)=0

Z\alpha(e)=-infty

where

e

is an integer satisfying

\alphae=-1

, that is

e=0

for a field of characteristic 2, and

e=

q-1
2
for a field of odd characteristic with

q

elements.

Using the Zech logarithm, finite field arithmetic can be done in the exponential representation:

\alpham+\alphan=\alpham(1+\alphan-m)=\alpham\alphaZ(n-m)=\alpham

-\alphan=(-1)\alphan=\alphae\alphan=\alphae+n

\alpham-\alphan=\alpham+(-\alphan)=\alpham

\alpham\alphan=\alpham+n

\left(\alpham\right)-1=\alpha-m

\alpham/\alphan=\alpham\left(\alphan\right)-1=\alpham

These formulas remain true with our conventions with the symbol

-infty

, with the caveat that subtraction of

-infty

is undefined. In particular, the addition and subtraction formulas need to treat

m=-infty

as a special case.

This can be extended to arithmetic of the projective line by introducing another symbol

+infty

satisfying

\alpha+infty=infty

and other rules as appropriate.

For fields of characteristic 2,

Z\alpha(n)=m\iffZ\alpha(m)=n

.

Uses

For sufficiently small finite fields, a table of Zech logarithms allows an especially efficient implementation of all finite field arithmetic in terms of a small number of integer addition/subtractions and table look-ups.

The utility of this method diminishes for large fields where one cannot efficiently store the table. This method is also inefficient when doing very few operations in the finite field, because one spends more time computing the table than one does in actual calculation.

Examples

Let be a root of the primitive polynomial . The traditional representation of elements of this field is as polynomials in α of degree 2 or less.

A table of Zech logarithms for this field are,,,,,,, and . The multiplicative order of α is 7, so the exponential representation works with integers modulo 7.

Since α is a root of then that means, or if we recall that since all coefficients are in GF(2), subtraction is the same as addition, we obtain .

The conversion from exponential to polynomial representations is given by

\alpha3=\alpha2+1

(as shown above)

\alpha4=\alpha3\alpha=(\alpha2+1)\alpha=\alpha3+\alpha=\alpha2+\alpha+1

\alpha5=\alpha4\alpha=(\alpha2+\alpha+1)\alpha=\alpha3+\alpha2+\alpha=\alpha2+1+\alpha2+\alpha=\alpha+1

\alpha6=\alpha5\alpha=(\alpha+1)\alpha=\alpha2+\alpha

Using Zech logarithms to compute α 6 + α 3:

\alpha6+\alpha3=\alpha6=\alpha6=\alpha6=\alpha12=\alpha5,

or, more efficiently,

\alpha6+\alpha3=\alpha3=\alpha3=\alpha5,

and verifying it in the polynomial representation:

\alpha6+\alpha3=(\alpha2+\alpha)+(\alpha2+1)=\alpha+1=\alpha5.

See also

Further reading