195
symmetric or antisymmetric (skew-symmetric) as we have
T
=SS
or
T
=−SS
,
respectively. A square matrix
H is called Hermitian (self-adjoint) or antiHermitian if
+
=HH or
+
=−HH, respectively; we notice that a real and symmetric matrix is
Hermitian. If a square matrix
O satisfies the relation
T1−
=OO, where
1−
O is the
inverse of the matrix
O (
11−−
==OO O O E , E being the unit matrix), that is
TT
==OO O O E , then O is called orthogonal complex matrix, while if a square
matrix
U satisfies the relation
1+−
=UU
(
++
==UU U U E ), then it is called unitary
matrix. If
1+−
=RR
and
=RR
(the square matrix R is unitary and real), then
T
T +−
===RRRR
, that is
T1−
=RR; in this case, the matrix R is called
orthogonal real matrix (or only orthogonal). The sum of the elements of the principal
diagonal of a square matrix
M represents the trace of the matrix (denoted by tr M),
being an invariant to a linear transformation of the matrix elements.
The matrix specified by (3.2.11''') allows to pass from the frame
R
(or
from the frame
′
R
) to the frame R by the transformation relation (3.2.11'') of the
form
′
=iiα
; in other words, the transformation matrix may be conceived as an
operator which, acting on the frame
R , transforms that one in the frame R. If the
matrix operates on the components of a vector
r in the frame
R
, then we obtain
the components of the vector
=rr in the frame R (the vector does not change); we
can, as well, consider the relation
∗
=rrα , which transforms a vector r in a vector
∗
r
in the same frame R. In the first case, the matrix corresponds to a counterclockwise
rotation, while in the second case it corresponds to a clockwise one. The matrix is an
orthogonal one, the trace of which does not vanish, in general.
Because we can determine, at any moment, the position of the rigid solid by the
position of the frame
R with respect to the frame R , hence by the parameters which
specify this position, the transformation matrix will be of the form
(t ); if at the
initial moment
0
tt= we have ≡RR, then it results
0
()t = Eα , coinciding with
the unit matrix. The motion being continuous, the matrix
(t ) must be a continuous
function of time and we can state that it is obtained by continuity from the identical
transformation. Taking into account the rigidity condition (14.1.1), it results that the
matrix is orthogonal.
We will assume now that the pole O, common to the frames
R and R is fixed. If
the motion of the frame
R about O is a motion of rotation, then there exists a direction
which corresponds to the axis of rotation and which is not affected by the operator , a
vector along this direction having the same components in the two frames. To put in
evidence the existence of such a direction we will show that there exists a vector
r
which has the property
r = r. On the other hand, the equation =rrλα , λ scalar, has
a solution for the eigenvalues λ of the matrix ; we will try to show that between these
eigenvalues is also the eigenvalue
= 1λ . The equation ()λ−=E0
α
leads to the
characteristic equation
[]
det 0λ−=Eα , which gives the eigenvalues
123
,,λλλ
(see
α = ΦΘΨ
α = α
14 Dynamics of the Rigid Solid
α
α
α
α
α
α
α
α
α