International
Tables for Crystallography Volume A Space-group symmetry Edited by M. I. Aroyo © International Union of Crystallography 2016 |
International Tables for Crystallography (2016). Vol. A. ch. 1.3, pp. 22-23
Section 1.3.2.1. Basic properties of latticesaRadboud University Nijmegen, Faculty of Science, Mathematics and Computing Science, Institute for Mathematics, Astrophysics and Particle Physics, Postbus 9010, 6500 GL Nijmegen, The Netherlands |
The two-dimensional vector space is the space of columns
with two real components
and the three-dimensional vector space
is the space of columns
with three real components
. Analogously, the
-dimensional vector space
is the space of columns
with n real components.
For the sake of clarity we will restrict our discussions to three-dimensional (and occasionally two-dimensional) space. The generalization to n-dimensional space is straightforward and only requires dealing with columns of n instead of three components and with bases consisting of n instead of three basis vectors.
Definition
For vectors forming a basis of the three-dimensional vector space
, the set
of all integral linear combinations of
is called a lattice in
and the vectors
are called a lattice basis of
.
It is inherent in the definition of a crystal pattern that the translation vectors of the translations leaving the pattern invariant are closed under taking integral linear combinations. Since the crystal pattern is assumed to be discrete, it follows that all translation vectors can be written as integral linear combinations of a finite generating set. The fundamental theorem on finitely generated abelian groups (see e.g. Chapter 21 in Armstrong, 1997) asserts that in this situation a set of three translation vectors
can be found such that all translation vectors are integral linear combinations of these three vectors. This shows that the translation vectors of a crystal pattern form a lattice with lattice basis
in the sense of the definition above.
By definition, a lattice is determined by a lattice basis. Note, however, that every two- or three-dimensional lattice has infinitely many bases.
Example
The square latticein
has the vectors
as its standard lattice basis. But
is also a lattice basis of
: on the one hand
and
are integral linear combinations of
and are thus contained in
. On the other hand
and
hence
and
are also integral linear combinations of
and thus the two bases
and
both span the same lattice (see Fig. 1.3.2.1
).
The example indicates how the different lattice bases of a lattice can be described. Recall that for a vector
=
the coefficients
are called the coordinates and the vector
is called the coordinate column of
with respect to the basis
. The coordinate columns of the vectors in
with respect to a lattice basis are therefore simply columns with three integral components. In particular, if we take a second lattice basis
of
, then the coordinate columns of
,
,
with respect to the first basis are columns of integers and thus the basis transformation
such that
is an integral 3 × 3 matrix. But if we interchange the roles of the two bases, they are related by the inverse transformation
, i.e.
, and the argument given above asserts that
is also an integral matrix. Now, on the one hand
and
are both integers (being determinants of integral matrices), on the other hand
. This is only possible if
.
Summarizing, the different lattice bases of a lattice are obtained by transforming a single lattice basis
with integral transformation matrices
such that
.
References
