Next: 6. Finding a J-row-reduction
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(5.1)
Fix
Consider all those matrices
from
which do not increase
,
and set
Because
and
if and only if
,
we obtain:
Choose a basis
of the module
and
a set of associated matrices
.
Proposition 9 ((sufficient condition for
J-row-minimality))
Q is
J-row-minimal if either
(i1)
do not have a unit entry; i.e.,
or
(i2) for any
,
the corresponding
matrix
satisfies the condition:
is nilpotent.
Condition (i1) implies (i2). Assuming (i2), we obtain for any
because
is invertible. Therefore Q is J-row-minimal.
(5.2)
In order to obtain a necessary condition for row-minimality, we have to improve
the choice of a good representative
in the equivalence class of Q, cf. (3.3).
Write
in block form
We may assume that the columns of A form a completely reduced, minimal
basis of
.
This means the columns of A form a minimal system of
generators, increasingly ordered, and the l-th generator is reduced with
respect to the standard basis generated by the first l-1 generators
for appropriate l.
Lemma 10
Let
Q be a submodule of
Rk, given by a completely reduced, minimal
basis
.
A submodule
P of
Q is proper
if and only if
lead(
P),
the initial module, does not contain all leading terms of
A.
We want to show that for a proper submodule P the minimal leading
term not contained in lead(Q) must be in lead(A). Assume the contrary; i.e.
the minimal
is not contained in lead(A).
We introduce the module
,
generated by all monomials
in Rk which are greater than
.
Considering the whole situation in the factor module Rn/S, we have
the equation
and, from the assumption on reducedness, it follows that all gi
belong to the maximal ideal
.
The staircases of both modules Q and P are identical up to
,
and,
hence, for every generator
an equation
with
exists. We obtain
The second summand vanishes in Rn/S. Thus,
must be a leading term of P,
too.
The other implication is a well-known fact about standard basis.
(5.3)
Without loss of generality we will assume that
fulfills the conditions of (5.2).
For
we obtain
and
Therefore, matrices
Next: 6. Finding a J-row-reduction
Up: Splitting algorithm for vector
Previous: 4. Splitting criteria
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