We have two fundamental concepts that are easy to visualize:
vectors in 3-space |
The rotation group acts on the space of vectors. For any representation of the rotation group and any representation of the vector space, we would like to have an intuitive grasp of the action. (Since the action preserves distances, one can also consider the action of the group just on the set of vectors of norm 1, i.e., on the sphere.)
Possible representations for the rotation group: ,
,
quaternions of norm 1. Possible representations for the vector space:
,
,
, and the space of traceless Hermitian
matrices. For
with
, the action is matrix
multiplication on the left:
. For
with
, or
with
or the traceless Hermitian matrices, the action is
conjugation:
.
The actions with are all faithful. The actions with
are
all two-to-one:
and
determine the same action (i.e., rotation).
Let's look at the actions in more detail. The space of traceless
Hermitian matrices consists of all matrices of the form
,
. This is in one-one
correspondence with
:
An arbitary element of
looks like
We have here non-commuting Hermitian matrices whose product is not
Hermitian-- in fact is anti-Hermitian. Now, one has an analogy between
matrices and complex numbers, under which ``Hermitian'' goes with ``real'',
``anti-Hermitian'' goes with ``purely imaginary'', and ``unitary'' goes
with ``on the unit circle''. The matrices provide a striking
example of the analogy breaking down. Non-commutativity is the culprit--
for of course the product of commuting Hermitian matrices is Hermitian.
Example: what rotation does represent? Its action on the unit
x vector,
, is just
. Similar calculations show
that y goes to
y and z stays put, so we have a
rotation about
the z-axis. Similarly for
and
.
The exponential map provides a mapping from into
:
So one can directly picture the action of on vectors in 3-space.
The ``double angles''
, etc., stem from the two multiplications in
the action:
. And the double angles in turn are the reason
the map from
to
is two-to-one.
acts on
via left multiplication:
, where
is a column vector. Can one picture
as some kind of geometric object in 3-space? Yes indeed! An
object known as a spin vector embodies
geometrically. But I
won't get to them.
© 2001 Michael Weiss