The result has a long history. In [6],
a faulty scheme of proof (for which the first author of this paper is
fully responsible) was proposed. The main idea was to consider the
extension and use the filtration defined by the
order to construct the linearizing output. Let
be the
algebraic closure of
in
and
. We expect to build incrementaly a
linearizing output by taking
to be a transcendence basis of
, then
to be a transcendence basis
of
, etc. Provided that
is differentially
independent, it is a linearizing output. But, this is not allways the
case.
Example 5. -- Let
. Then,
but
is generated by
,
for
and
for
. That family of elements is too large to be differentialy
independent.
Of course, one sees that is is enough to modify the filtration and
take, e.g. to be generated by derivatives of
up to
order
and of the remaining variables up to order
. But it is
not always possible to save the situation in such a simple way.
A different idea is to use the structure of a characteristic set
of the prime ideal associated to the extension
. Let
be an element of
, we substitute to the
non leading derivatives of
generic values in
, defining new
equations
in the leading derivatives
. This
set of equation defines an algebraic extension of
and the family
is a good candidate for a linearizing output. Such
a process works very often. One may check that is works with example
5. The following example, due to Pierre Rouchon, shows
that it is not always the case.
Example 6. -- We consider
and
such that the extension
is associated to
the differential prime ideal defined by characteristic set
We will illustrate on this example the algorithm deduced from the
proof of theorem 3. We don't have in this case to
introduce any equation for building , which makes the example too
simple. So let us modify it and take
generated by
with
. In the same way, we replace
by
in (1).
We start with the set of equations:
Remark 7. -- Using a variant of this algorithm, if we know a time varying linearizing output for a stationnary system, we can deduce a stationnary linearizing output (see [12] for this problem).