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Hilbert basis (linear programming)

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Hilbert basis (linear programming)

The Hilbert basis of a convex cone C is a minimal set of integer vectors such that every integer vector in C is a conical combination of the vectors in the Hilbert basis with integer coefficients.

Definition

Given a lattice L Z d and a convex polyhedral cone with generators a 1 , , a n Z d

C = { λ 1 a 1 + + λ n a n λ 1 , , λ n 0 , λ 1 , , λ n R } R d

we consider the monoid C L . By Gordan's lemma this monoid is finetely generated, i.e., there exists a finite set of lattice points { x 1 , , x m } C L such that every lattice point x C L is an integer conical combination of these points:

x = λ 1 x 1 + + λ m x m , λ 1 , , λ m Z , λ 1 , , λ m 0

The cone C is called pointed, if x , x C implies x = 0 . In this case there exists a unique minimal generating set of the monoid C L - the Hilbert basis of C. It is given by set of irreducible lattice points: An element x C L is called irreducible if it can not be written as the sum of two non-zero elements, i.e., x = y + z implies y = 0 or z = 0 .

References

Hilbert basis (linear programming) Wikipedia