In this section it is assumed that not only the kind of symmetry
operation is known but also its details, e.g. it is not
enough to know that there is a 2-fold rotation, but one should
also know the orientation and position of the rotation axis. At first
one tries to find for some points
their images
under
the symmetry operation. This knowledge is then exploited to determine
the matrix-column pair which decribes the symmetry operation.
Examples will illustrate the procedures. In all of them the point coordinates are referred to a Cartesian coordinate system, see Section 1.2. The reader is recommended to make small sketches in order to see visually what happens.
In the system (4.1.1) of equations there are 12 coefficients to
be determined, 9
and 3
. If the image point
of one point
is known from geometric considerations, one can write
down the 3 linear equations of (4.1.1) for this pair of points.
Therefore, writing down the equations (4.1.1) for 4 pairs
(point
image point) is sufficient for the determination
of all coefficients, provided the points are independent, i.e.
are not lying in a plane. One obtains a system of 12
inhomogeneous linear equations with 12 undetermined parameters
and
. This may be difficult to solve without a computer. However,
if one restricts to crystallographic symmetry operations, the solution
is easy more often than not because of the special form of the
matrix-column pairs.
Procedure 1
In many cases it may be possible to apply the following strategy, which
avoids all calculations. It requires knowledge of the image points
of the origin
and of the 3 `coordinate points'
: 1,0,0;
: 0,1,0; and
: 0,0,1.
Example 1
What is the pair (W,w) for a glide reflection with the plane through the origin, the normal of the glide plane parallel to c, and with the glide vector g = 1/2,1/2,0 ?
3/2 =
+ 1/2, 1/2 =
+ 1/2,
0 =
+ 0 for
and
1/2 =
+ 1/2, 3/2 =
+ 1/2,
0 =
+ 0 for
.
One obtains
, and
.
Point
: 0,0,1 is reflected to 0,0,
and then shifted to
1/2,1/2,
.
This means
or
,
.
W =
and w =
.
Example 2 [Draw a diagram !]
What is the pair (W,w) for an anti-clockwise
4-fold rotoinversion
if the rotoinversion axis is parallel
to c, and 1/2,1/2,1/2 is the inversion point ?
The equations are
;
w =
.
The resulting matrix-column pair is checked by mapping the fixed point 1/2,1/2,1/2 and the point 1/2,1/2,0. Their images are 1/2,1/2,1/2 and 1/2,1/2,1 in agreement with the geometric meaning of the operation.
Procedure 2
If the images of the origin and/or the coordinate points are not known, other pairs `point-image point' must be used. It is difficult to give general rules but often fixed points are appropriate in such a case. In addition, one may exploit the different transformation behaviour of point coordinates and vector coefficients, see Section 4.4. Vector coefficients `see' only the matrix W and not the column w, and that may facilitate the solution. Nevertheless, the calculations may now become more involved. The next example is not crystallographic in the usual sense, but related to twinning in `spinel' mineral.
Example 3
What is the pair (W,w) for a 2-fold rotation about the space diagonal [111] with the point 1/2,0,0 lying on the rotation axis ?
It is not particularly easy to find the coordinates of the
image
of the origin
. Therefore, another procedure
seems to be more promising. One can use the transformation
behaviour of the vector coefficients of the direction [111]
and other distinguished directions. The direction [111] is
invariant under the 2-fold rotation, and the
latter is described by the matrix part only, see Section 4.4.
Therefore, the following equations hold
On the other hand, the directions [1
0], [01
],
and [
01] are perpendicular to [111] and thus are
mapped onto their negative directions. This means
From the equations (5.1.2) one concludes
Together with equations (5.1.1) one obtains
.
Thus, W =
The point 1/2 0 0 is a fixed point, thus
,
, and
.
The coefficients of w are then:
There are different tests for the matrix: It is
orthogonal, its order is 2 (because it is orthogonal and symmetric),
its determinant is
, it leaves the vector
invariant,
and maps the vectors
, and
onto their negatives (as was used for its
construction). The matrix-column pair can be tested with the fixed
points, e.g. with
;
with
; or other points on the rotation axis.
Problem 1B. Symmetry of the square. For the
solution, see p.
.
Problem 1A, p.
, dealt with the symmetry of the square,
see Fig. 3.4.1.
There are 2 more questions concerning this problem.
Are there remarkable properties of the multiplication table ?
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