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C.6.1 Toric ideals

Let $A$ denote an $m \times n $ matrix with integral coefficients. For $u \in Z\!\!\! Z^n$, we define $u^+,u^-$ to be the uniquely determined vectors with nonnegative coefficients and disjoint support (i.e., $u_i^+=0$ or $u_i^-=0$ for each component $i$) such that $u=u^+-u^-$. For $u\geq 0$ component-wise, let $x^u$ denote the monomial $x_1^{u_1}\cdot\ldots\cdot x_n^{u_n}\in K[x_1,\ldots,x_n]$.

The ideal

$\displaystyle I_A:=(x^{u^+}-x^{u^-} \vert u\in\ker(A)\cap Z\!\!\! Z^n)\ \subset K[x_1,\ldots,x_n] $
is called a toric ideal.

The first problem in computing toric ideals is to find a finite generating set: Let $v_1, \ldots, v_r$ be a lattice basis of $\ker(A)\cap Z\!\!\! Z^n$ (i.e, a basis of the $Z\!\!\! Z$-module). Then

$\displaystyle I_A:=I:(x_1\cdot\ldots\cdot x_n)^\infty $
where
$\displaystyle I=<x^{v_i^+}-x^{v_i^-}\vert i=1,\ldots,r> $

The required lattice basis can be computed using the LLL-algorithm ( system, see see [Coh93]). For the computation of the saturation, there are various possibilities described in the section Algorithms.

C.6.2 Algorithms  Various algorithms for computing toric ideals.
C.6.3 The Buchberger algorithm for toric ideals  Specializing it for toric ideals.
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