Lemma 4. -- Let , ...,
,
be polynomials in
such that
and
is a prime
differential ideal
of differential dimension
. Let
,
Then, the order of is equal to
if
and strictly
lower than
if not.
The integer is known as the Jacobi number and
is the
truncated jacobian (determinans mancum in
[7]). We denote by
the minimal integers such that
there exists a diagonal sum
and
for all
is maximal among all
(see [4,7]).
Sketch of the proof of theorem 3. -- In order to prove the
theorem, we consider any algebraic extension and construct
it as the quotient field of a prime differential ideal given by a
characteristic set
in
. The
extension
is described by a prime differential
ideal, whose characteristic set
admits a number of elements
equal to
.
Let be a set of
equations such that
, where
. Such a set
exists, e.g.
satisfies the
hypotheses if we take
. We may chose
,
and
such that the bound
of lemma 4
is minimal. Now, we reorder the equations by increasing
,
and for equal
, we take first the equations in
. Let
be the smallest integer such that the first
rows of
are
not of full rank. We will also assume that we have chosen
,
and
with minimal
among those with minimal
.
Assume
. Then, as the extension is algebraic, the truncated
jacobian
should be
; if not, the order of the extension
would be
. Now, if the truncated jacobian is
, we can
construct by algebraic elimination a new set
or a new
extension
, associated with a new characteristic set
with
a smaller
, or an equal
and a smaller
. This contradicts
minimality. So,
and
.
This implies that there are variables
appearing in
with order
such that
for
. We may assume those variables to be
after a reordering. This shows that
is algebraic, and so that
is flat. height .9ex width .8ex depth -.1ex
The proof is a constructive one. Provided that the extensions ,
and
are given by generators and relations, we are able,
using characteristic sets computations, to construct a representation
of
as a flat extension. We investigate the algorithmic aspects of
that theorem which reduce to a sequence of algebraic eliminations. If
the computation could be in the worst case as difficult as algebraic
elimination could be, we may very often in practice deduce some
linearizing output from the parametrization without any elimination.
It should be noted that, if the flatness notion may be defined in a
geometrical setting using
functions, the equations are
most of the time polynomial in practice, making the algebraic
definition, with its algorithmic potentialities, of special interest.