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Consequences of a reordering of unknowns
The four theorems mentioned above were all proven in a situation where the flux
vector
is ordered by group number g--this is seen most
clearly in equation (1.49).
The next question which arises is whether the theorems 1 through 4 also hold
when the flux vector is ordered by the node number k.
Let us for convenience write down the general eigenvalue problem once more
 |
(1.46) |
where
is defined by
 |
(1.47) |
and
is ordered by group number g.
We now imagine ourselves to possess a permutation matrix1.23,
,
which
interchanges rows of a matrix or column vector, ie changes the ordering in such a way
that we end up with the wanted ordering.
In this case we want
to gather
that is
and
in a two group treatment.
We now multiply equation (1.64) with
from the left
and end up with
 |
(1.48) |
Since it is always legitimate to multiply with the identity matrix
we
are now able to write the above mentioned equation as
 |
(1.49) |
Now, by defining the following matrices and -vector
we are able to rewrite (1.67) in the form
 |
(1.50) |
This shows that the eigensolutions to the rewritten eigenvalue problem
(1.69) are related to those of the original given by
(1.64) in the following way
Thus the proposed reordering only results in a reordering of the flux
eigenvector leaving the eigenvalues unchanged, and we are able to conclude
Theorem 1.5
Any reordering of the unknown flux components still enables us to make
use of Theorems 1 through 4 (with (
 )
replaced
by (
 )).
We may add that a permutation matrix has the following (nice) property
 |
(1.51) |
This property makes it possible to state
 |
(1.52) |
which actually says that we get
firstly by interchanging the
rows in
indicated by
and subsequently interchanging the
columns with numbers corresponding to the interchanged rows.
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