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Point lattices play an important role in many branches of mathematics, e.g. integer programming, factoring polynomials with rational coefficients, integer factoring and diophantine approximation, to mention some of them.
Let be an ordered set of independent (column) vectors in an -dimensional vector space a field . The elements of a set of vectors which may be written as linear combination of the elements of
(1) |
with integral coefficients are called lattice vectors, and is called a (vector) lattice, or just lattice. The vectors form the lattice basis of .
Let be the real vector space .
A typical basis is the so called standard basis given by column vectors with 1 in the th position, , and zero otherwise.
The linear independence of the basis vectors ensures the uniqueness of the coefficients in (1).
A basis of a lattice in not determined uniquely. If is another basis of , that is the vectors span , then there are such that
(2) |
Theorem 1. The components of the lattice vectors are obtained by the matrix multiplication (2).
A matrix is called an integral unimodular matrix if all its elements are integral and its determinant .
Theorem 2. The lattice bases and generate the same lattice if and only if one basis goes over to the other by means of an integral unimodular transformation.
There follows that if
are two lattice bases of the same lattice , then the determinants of the coefficient matrices and can differ only in sign. Hence the absolute value of these determinants depends only on the lattice itself. It is called the lattice constant and it is denoted by , that is .
The lattice constant has an interesting geometric meaning. To explain this associate with the vector space the Euclidean point space for which the standard basis serves as an orthogonal system. Then to each point and each vector we can associate a new point from . If one chooses a point as origin, then together with the basis form a Cartesian coordinate system and we can map an arbitrary point to the unique coordinate -tuple through the formula . Thus the space can be identified with .
On the other hand, if is a basis of the vector lattice this construction allows to assign to every lattice vector lattice a point lattice, namely
Moreover, we can assign to this basis the so called fundamental parallelepiped (or fundamental parallelogram if )
Because
the coordinates of a point of the fundamental parallelepiped are given by in . Using the fact that the standard basis spans the unit -dimensional cube of volume one, the volume of the fundamental parallelepiped is
Theorem 3. The volumes of the fundamental parallelepipeds of a lattice are independent of the chosen basis and are equal to the lattice constants.
The fundamental parallelepiped contains no further lattice points in its interior or boundary. Conversely, any set of lattice points with this property determines a lattice basis, and furthermore, it generates the same lattice.
Cite this web-page as:
Štefan Porubský: Point Lattices.