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{\nopagenumbers
%\pageno=1

\titlea{Normal forms and nonlinear symmetries}
{ }
\bigskip \bigskip
\centerline{Giampaolo Cicogna}
\centerline{\it Dipartimento di Fisica, Universit\`a di Pisa}
\centerline{\it Piazza Torricelli 2, I-56126 Pisa (Italy)}
\centerline{{\tt E-Mail: cicogna@ipifidpt.difi.unipi.it}}
\bigskip
\centerline{Giuseppe Gaeta}
\centerline{\it Centre de Physique Th\'eorique, Ecole Polytechnique}
\centerline{\it F - 91128 Palaiseau (France)}
\centerline {{\tt E-Mail: gaeta@orphee.polytechnique.fr}}
\vskip 3 truecm

\pn
%{\tt PACS n. 03 20, 02 20 }

%\vfill\eject

\titleb{Abstract}
\pn
We give some general theorems, and extensions of previous results, 
concerning the problem of transforming an algebra of vector fields 
into Poincar\'e normal form. By means of an unifying algebraic language, 
we show the possibility of obtaining either a "parallel" or "joint" 
normal form of the vector fields in a well definite way, which simplifies 
the construction of normal forms, providing a precise restriction on 
their structure. The application to the 
finite dimensional dynamical systems and to their Lie point symmetries is 
also discussed.

\vfill\eject }

\pageno =1

\titleb{1. Introduction and notations}
\pn
The problem of transforming a vector field (or an algebra of vector 
fields) into normal form (in the sense of Poincar\'e - Dulac - Birkhoff) 
is an old and important topic [1-9], not only for its algebraic aspects, 
but also for its applications in the theory of dynamical systems, 
especially in connection with symmetry properties [1-11].

Quite different approaches and points of view ("algebraic", "analytical", 
or "dynamical") for this problem can be found in the literature, and it is 
not rare that the differences in the language make it difficult even the 
comparison of (apparently unrelated but strongly connected) results.

In this paper we want to propose some general results and extensions 
of previous statements, in a (essentially) self-contained 
presentation, using a geometrical approach similar to that in [11], 
with an abstract and 
"unifying" algebraic language, but avoiding as far as possible any 
technicality (Sect. 2). The applications to dynamical systems and their
symmetries (Lie point symmetries) are discussed in Sect. 3.
  
Let us recall some basic definitions and fix some notations. Let $u\in 
M\subseteq R^n$, where $M$ is a smooth neighbourhood of the origin in $R^n$, 
and consider the space $\V$ of analytical vector fields 
(VF) $\phi:M\to TM$ in $R^n$: they are in one-to-one correspondence with the 
elements of the space $V$ of analytical functions $f:M\to R^n$; 
in component expansion we shall write (here and in the following, 
sum over repeated indices, unless otherwise stated)
$$\phi\equiv f(u)\pd_u\equiv f_i(u){\pd\over{\pd u_i}}\qquad (i=1,
\ldots,n) \eqno(1.1)$$
We assume that $u=0$ is an isolated fixed point for $f(u)$;  $f(u)$ will 
be also written as a series  expansion in the form:
$$f\equiv Au+\~f\equiv\sum^\infty_{j=1}f_{(j)}\eqno(1.2)$$
where $Au\equiv f_{(1)}$ is the linear part of $f$, $\~f$  the 
nonlinear part, and $f_{(j)}\in V_{(j)}$, the subspace of the 
homogeneous polynomial functions in $V$ of degree $j$.

Given two VFs $\phi=f\pd_u$ and $\psi=g\pd_u$ in $\V$, the notion of Lie 
commutator $[\phi,\psi]$ in $\V$ induces a Lie-Poisson bracket $\{f,g\}$ 
in $V$:
$$[\phi,\psi]=\{f,g\}\pd_u \qquad \{f,g\}_k=f_i\pd_ig_k-g_i\pd_ig_k
\qquad\Big(\pd_i\equiv{\pd\over{\pd u_i}}\Big) \eqno(1.3)$$
Also, a notion of scalar product can be introduced
in each subspace $V_{(j)}$ [8,11]. 

Given a $n\times n$ matrix $A$, we denote by $\A:V\to V$ the homological 
operator associated to $A$ (which is also the Lie derivative $\L_A$ 
along the VF $Au\pd_u$):
$$\A(h_k)=(A u)_i\pd_ih_k-(Ah)_k\eqno(1.4)$$
where $h=h(u)\in V$.
According to the classical Poincar\'e - Dulac - Birkhoff  definition 
[1], a (nonlinear) term $h(u)$ is said to be {\it resonant with} $A$ if
(see also [8])
$$\A^+(h)\equiv\{A^+u,h\}=0\ ,\eqno(1.5)$$
and a VF $\phi=(Au+\~f)\pd_u$ is said to be in normal form (NF) if all 
nonlinear terms are resonant with $A$, i.e. $\~f\in\Ker\A^+$. If $A$ is 
diagonal, with eigenvalues $\a_1,\ldots,\a_n$, a monomial 
$h_k(u)=u_1^{m_1}\cdot \dots\cdot u_n^{m_n}$ of degree $j$ (with $m_i$ 
integer numbers such that $\sum_i m_i=j, \ m_i\ge 0$)
is resonant if $m_i\a_i=\a_k$, which 
is the usual "resonance condition" for the eigenvalues [1]. As well 
known, the relevance of the above definitions is essentially due to the 
fact that, given a VF $\phi$, all nonresonant terms can be removed by 
means of a coordinate transformation. As usual in NF theory, these 
transformations are expressed  by means of {\it formal} series, i.e. no 
assumption is made on their convergence (cf. [1]). 

Notice that for both operators $\A$ and $\A^+$ one has, for each $j$,
$$\A:V_{(j)}\to V_{(j)} \quad {\rm and}\quad \A^+:V_{(j)}\to V_{(j)}
\ . \eqno(1.6)$$
If $\A=\L_A$ and $\B=\L_B$ are the homological operators associated to two 
$n\times n$ matrices $A$ and $B$, the operator $\A\B-\B\A$ is just the 
homological operator $\C=\L_C$ associated to the matrix commutator $C=[A,B]$. 
In particular, the three statements $\A\B=\B\A \ $, $[A,B]=0$, and 
$\{Au,Bu\}=0$ are equivalent.

Finally, if $A$ is any $n\times n$ matrix, we shall denote by
$$A=A_s+A_n\eqno(1.7)$$
its (unique) decomposition into commuting semisimple (diagonalizable) 
and nilpotent part. 

\vfill\eject
\titleb{2. The algebraic approach.}
\pn
The main results will be obtained as a consequence of a series of simple 
lemmas, which can be of some independent interest: even if some of 
these are not new, it is convenient to give 
a complete list of all of them, together with a sketch of their proof.
\medskip\pn
{\sl Lemma 1}. If $[A,B]=0$ then $[A_s,B]=[A,B_s]=0\ .$
\pn
{\sl Proof}. This easily follows once the matrix $A$ (or resp. $B$) is 
written in its Jordan form.
\medskip\pn
{\sl Lemma 2}. Given the matrix $A$, the set $\Ker \A^+$ of 
terms $h(u)$ resonant  with $A$, is given by $K(\kappa(u))u$, where $K$ is 
the most general matrix such that $[K,A^+]=0$ and its entries $K_{ij}$ 
are functions of the time independent analytical constants 
of motion $\kappa=\kappa(u)$ of the linear system $\.u=A^+u$  [8,11].
\pn
{\sl Proof}. This follows writing explicitly the equation $\A^+ (h)=0$ as a 
first order PDE, and applying standard procedures [12].
\medskip\pn
{\sl Lemma 3}. $\Ker \A\subset \Ker \A_s$ ; $\Ker \A^+\subset \Ker \A_s$, 
where $\A_s$ is the homological operator associated to the semisimple part 
$A_s$ of $A$.
\pn
{\sl Proof}. According to Lemma 1, if $K$ commutes with $A^+$, then it 
also commutes with $A_s\ (=A^+_s)$. On the other hand, the solutions of 
the linear systems $\.u=A_su$ and $\.u=A^+u$ are respectively
$u(t)=\exp(A_st)u(0)$ and $u(t)=\exp(A^+t)u(0)$; it is 
easy to be convinced that the (time-independent) constants of motion, 
which can be expressed in analytic form (polynomial, in this case) of 
the second system are also constants of 
motion of the first one (but the converse is not true). The statement of 
Lemma 3 then follows from Lemma 2.
\medskip\pn
{\sl Lemma 4}. If $\phi=(Au+\~f)\pd_u$ and $\psi=(Bu+\~g)\pd_u$ form a 
2-dimensional algebra, then it is possible to perform a (formal) coordinate 
transformation which takes the nonlinear terms $\~f$ into normal form with 
respect to $A$, and $\~g$ with respect to $B$ ("{\it parallel} normal form").
\pn
{\sl Proof}. Up to a linear transformation, any 2-dimensional algebra  
satisfies the commutation rule 
$$[\phi,\psi]=c \psi\eqno (2.1)$$
where $c$ is any constant (including $c=0$). First of all, we can always put 
$\~g$ into NF with respect to $B$, so, let us assume (without changing 
notations)
$$\~g\in \Ker\B^+$$
where $\B^+$ is the homological operator associated to $B^+$.
Now, from (2.1), $[A,B]=cB$, or $[A^+,B^+]=-\=c B^+$, which implies, in 
terms of the homological operators,
$$\B^+\(\A^+(\~g)\)=\A^+\(\B^+(\~g)\)-\=c\ \B^+(\~g)=0$$
i.e. $\A^+(\~g)\in \Ker\B^+$, or $\A^+:\Ker \B^+\to\Ker\B^+$. This 
ensures the possibility of performing another transformation, leaving 
invariant the space $\Ker\B^+$ of the terms resonant with $B$, in such a way 
to change the terms $\~f$ into NF with respect to $A$. Then we can choose 
coordinates in such a way that:
$$\~f\in \Ker \A^+\qquad {\rm and} \qquad \~g\in \Ker \B^+ \ . \eqno(2.2)$$
\bigskip
We can now state the first main result.
\medskip\pn
{\sl Theorem 1}. Let $\phi=f(u)\pd_u=(Au+\~f)\pd_u,\ \psi=g(u)\pd_u=(Bu+
\~g)\pd_u$ satisfy
$$[\phi,\ \psi]=0\eqno (2.3)$$
then, by means of a formal coordinates transformation, $\~f,\ \~g$ can be 
taken into a  "{\it joint} normal form" (JNF) of this type:
$$\~f\in \Ker\A^+\cap \Ker\B_s \quad {\rm and}\quad 
  \~g\in \Ker\A_s\cap \Ker\B^+ \ . \eqno(2.4) $$
\pn
{\sl Proof}. From Lemmas 3 and 4, we get
$$\~f\in \Ker\A^+\subset\Ker\A_s\ ; \quad \~g\in \Ker\B^+\subset \Ker\B_s
\eqno(2.5)$$
Let us write now (2.3) step by step, with
$$f(u)=Au+\sum^\infty_{j=2}f_{(j)}\quad {\rm and}\quad
g(u)=Bu+\sum^\infty_{j=2}g_{(j)}\eqno(2.6)$$ 
We have first 
$$[A,B]=0\eqno(2.7)$$ 
and 
$$\{Au,g_{(2)}\}-\{Bu,f_{(2)}\}=0\quad {\rm or}\quad \A(g_{(2)})=\B(f_{(2)}) 
\eqno(2.8)$$
whereas, for $k>2$, 
$$\{Au,g_{(k)}\}-\{Bu,f_{(k)}\}=\sum^{k-1}_{j=2}\{f_{(j)},g_{(k-j+1)}\} 
\eqno(2.9)$$
Applying the operator $\A_s$ to (2.8), and using Lemma 1, we obtain, thanks 
to (2.5)
$$\A_s\(\A(g_{(2)})\)=\B\(\A_s(f_{(2)})\)=0$$
and also $\A_s^2(g_{(2)})=0$, which implies
$$\A_s(g_{(2)})=0\ ;$$
in fact, being $A_s$ a diagonalizable matrix, we can choose coordinates 
such that $\Ker\A_s$ is the orthogonal complement to $\Ran\A_s$ in the 
space $V_{(2)}$ . Repeating the argument for the operator 
$\B_s$ applied to (2.8), we get similarly
$$\B_s(f_{(2)})=0\ .$$
An immediate application of the Jacobi identity shows that if
$$f_{(j)},\ g_{(i)} \in \Ker\A_s\cap\Ker\B_s\quad \forall\ i,j=2,
\ldots ,k-1$$
then the same is true for
$$\{f_{(j)},g_{(i)}\}\quad {\rm and}\quad \sum^{k-1}_{j=2}\{f_{(j)},
g_{(k-j+1)}\} \eqno(2.10)$$
This allows us to proceed inductively: applying the operators $\A_s$ and 
$\B_s$ to (2.10), we can conclude, for all $j$, that $f_{(j)}\in \Ker\B_s$ 
and $g_{(j)}\in \Ker\A_s$, which, together with (2.5), gives the result.
\bigskip
The possibility of extending of the above results (namely, Lemma 4 and 
Theorem 1) to algebras of dimension $d>2$ is clearly related to the 
specific commutation properties of the algebra. 
We consider here some special cases.
\medskip\pn
{\sl Theorem 2}. Let us consider a $d-$dimensional algebra $\G$ of VFs
spanned by $\phi_a=f_a\pd_u=(A_au+\~f_a)\pd_u\ (a=1,\ldots,d)$. Then:
\pn
i) If the algebra $\G$ is {\it solvable}, then all the nonlinear terms 
$\~f_a$ can be put in parallel NF, namely
$$\~f_a\in \Ker\A_a^+ \qquad {\rm for\ each}\ a=1,\ldots,d\ .\eqno(2.11)$$
ii) If the algebra $\G$ is {\it nilpotent} (in particular: abelian), then
one can put all $\~f_a$ into a JNF, precisely (with obvious notations):
$$\~f_a\in \Big(\bigcap_{b\ne a}\Ker\A_{b,s}\Big)\cap\Ker\A^+_a 
\qquad {\rm for\ each}\ a=1,\ldots,d \eqno(2.12)$$
iii) In any solvable (resp.: nilpotent, or in particular abelian) 
{\it subalgebra} of a generic algebra $\G$, all nonlinear terms can be 
put parallel NF as in (2.11) (resp.: in JNF as in (2.12)).
\pn
{\sl Proof}. If the algebra is solvable, let us consider the sequence of 
commutators terminating in $0$
$$[\phi,\phi]=\phi^{(1)},\ [\phi^{(1)}, \phi^{(1)}]=\phi^{(2)},\
\ldots,\ [\phi^{(m)},\phi^{(m)}]=0\eqno(2.13)$$
In the ideal $\G^{(m)}$ spanned by $\phi^{(m)}$ all non linear terms of 
the VFs can be taken in NF (or even in JNF if dim$\ \G^{(m)}>1$: 
in this case indeed this subalgebra is abelian and Theorem 1 can
be directly applied). 
Using $[\phi^{(m-1)},\phi^{(m-1)}]=\phi^{(m)}$ and 
$\G^{(m-1)}\supseteq\G^{(m)}$ , we can repeat the argument of Lemma 4 
to show that also in $\G^{(m-1)}$ parallel NFs can be  obtained, 
and so on. If now the algebra $\G$ is nilpotent, 
let us consider the sequence of commutators terminating in $0$
$$[\phi,\phi]=\phi^{[1]},\ [\phi,\phi^{[1]}]=\phi^{[2]},\
\ldots,\ [\phi,\phi^{[m]}]=0\eqno(2.14)$$ 
The first part of this Theorem ensures (since nilpotency implies 
solvability) that all $\~f_a$ can be taken in their respective 
NF: $\~f_a\in\Ker\A_a^+$; on the other hand, the last commutator 
in (2.14) says that all fields in the abelian ideal $\G^{[m]}$ spanned by 
$\phi^{[m]}$ commute with all the $\phi_a \in \G$. 
Then the procedure followed in the proof of Theorem 1 can  
be repeated for each $\phi_a\in\G$, using the last commutator in (2.14)
in order to obtain (2.12). Statement iii) is an immediate consequence.
\bigskip\pn
{\sl Remark 1}. The result in Theorem 1 and its extension in  Theorem 
2.ii) are generalizations of Theorem 2.2  
\footnote{$^1$}
{Any 2-dimensional nilpotent algebra is in fact abelian. Unfortunately, 
Ref. [7] came to our knowledge only after our paper [11] 
- which contains results already obtained in [7], although by different 
methods - was published. } 
of Ref. [7], which gives in fact $\~f_a\in\bigcap_b \Ker\A_{b,s}$. 
Notice that actually condition $\~f\in \Ker\A^+$ is a rather stronger 
restriction for $\~f$ than $\~f\in \Ker\A_s$, the space $\Ker\A^+$ being 
in general 
considerably smaller than the space $\Ker\A_s$, as simple examples can 
easily show. Notice also that,  in general, it is not possible to 
extend the result in Theorem 1 (and in 2.ii) as well) to have also e.g. 
$\~f\in\Ker\B$ or $\~f\in\Ker\B^+$. The case of solvable algebras is 
quite different: e.g., if $[\phi,\psi]=\psi$, then $[A,B]=B$, but this 
implies $B_s=0$, and therefore one gets in this case $\B_s=0$.
\medskip\pn
{\sl Remark 2.} In NFs theory it is usual to give special attention to 
the case of VFs with {\it normal} linear part, i.e. $[A,A^+]=0$ [11]. 
Here, we will not consider this restriction: the general results given 
here can of course be specialized to this case  (obtaining among others 
some of the results given in [11]). For instance, eq. (2.12) becomes 
immediately, with this restriction,
$$ \~f_a\in \bigcap_b\Ker\A_b \ . \eqno(2.12')$$

\medskip
%\vfill\eject

\titleb{3. Applications to dynamical systems and their symmetry properties}
\pn
Let us now apply the above algebraic results to the case of (finite 
dimensional) dynamical systems (DS). With $u=u(t)\in M\subseteq R^n$, let 
$$\.u=f(u)=Au+\~f(u)\eqno(3.1)$$
be a DS, where $\.u=du/dt$ and $f(0)=0$.
 
%\parindent=16pt
Denoting by $\phi\equiv f\pd_u$ the VF expressing the dynamical flow of 
this DS, any VF $\psi=g\pd_u$ such that
$$[\phi,\psi]=0\eqno(3.2)$$
is the generator of a Lie-point time-independent (LPTI) symmetry of this 
DS [13-15] (see also [10-11,16-20] and Ref. therein). Therefore, according to 
Theorem 1, one can choose coordinates in 
such a way that both VFs $\phi$ and $\psi$ are in JNF (2.4).
In concrete cases, once the DS is given, a typical problem is that of 
finding its LPTI symmetries: then, the set of eq.s (2.7-9) 
may  be used in practice in order to construct recursively step by step 
the symmetry field, and the JNF condition (2.4) determines the nonlinear 
terms which may be removed, both in the DS and in the VF describing 
the symmetry. 
\medskip\pn
{\sl Remark 3.} Clearly, it is not granted, in general, that all LPTI 
symmetries of a DS can be written as a series expansion (even if formal; 
for some examples of "singular" LPTI symmetries, see e.g. [17-18]); however, 
the method of proceeding step by step may be useful to construct 
"approximate" symmetries, i.e. "up to the a given (finite) order" [16]).
Some sufficient conditions ensuring the existence of (polynomial) LPTI 
symmetries, and some explicit examples can be found 
in Ref [10,11,17-20]. A (linear) symmetry which is always 
present (unless $A_s$, the semisimple part of $A$, is $=0$) is given by 
the following Proposition.
\medskip\pn
{\sl Proposition 1.} Any DS (3.1) which is in NF, i.e. with 
$\~f\in\Ker\A^+$, admits the linear symmetry generated by 
$$\s=A_su\pd_u\eqno(3.3)$$
If $A_s$ is diagonalized, with real eigenvalues $\a_i\ (i=1,\ldots,n)$, this 
symmetry generates the scaling $u_i\to u_i\ \exp(\ep \a_i)\ (\ep\in R)$.
\pn
{\sl Proof.} The symmetry condition (3.2) is certainly satisfied by this 
$\s$ (3.3), indeed
$$\{Au+\~f, A_su\}=\{\~f,A_su\}=0$$
as a consequence of the resonance assumption and Lemma 3.
\medskip
This generalizes Proposition 4 of Ref. [10], where a
diagonalizable $A$ was assumed, and another result contained in Ref. [8] 
which - in the present language - may be stated as follows: if the DS (3.1) 
is in NF, then $(A^+u)\pd_u$ is a symmetry for the {\it nonlinear} part 
of the DS $\ \.u=\~f$ (but not necessarily for the {\it full } DS $\.u=f$). 
Another property of LPTI symmetries and NFs, which is a direct consequence 
of (2.4), is given by  the following Proposition.
\medskip\pn
{\sl Proposition 2.} If the DS (3.1) admits a LPTI symmetry 
$\psi=g\pd_u=(Bu+\~g)\pd_u$, and  
the fields $\phi,\ \psi$ are in JNF, then $\psi$ is also a symmetry for 
the linear semisimple part of the DS, i.e. for $\.u=A_su$ (but the 
converse is not true: i.e. symmetries 
of this linear system are not necessarily symmetries for the full DS), 
and the linear semisimple part  $B_su\pd_u$ provides another symmetry (if 
$B_s\ne 0$) for the DS:
$$\{A_su,g\}=0\quad{\rm and}\quad \{B_su,f\}=0\ . \eqno(3.4)$$
\medskip
Clearly, the set $\{\psi_1,\ldots,\psi_r\}$ of the LPTI symmetries of a DS 
spans a Lie algebra
\footnote{$^2$} 
{Actually, multiplying a LPTI symmetry by any constant of 
motion of the DS gives another symmetry, so one should more correctly 
speak of a (finite dimensional) {\it module} (rather than of an infinite 
dimensional algebra) of symmetries [20]. Here, we are interested in the 
algebraic structure, and therefore we are considering only "independent" 
(i.e. pointwise linearly independent) VFs generating symmetries.}
$\G$: it always contains the VF $\phi$ giving the dynamical flow. This 
algebra may be abelian (as in Proposition 3 below) or not. An interesting 
example of nonabelian symmetry algebra can be constructed starting from a 
4-dimensional problem which has the "quaternionic structure" [21]: the 
generators of its symmetry span the Lie algebra of the group $SU(2)$ (in 
real form). 

The possibility of taking in parallel or joint NF the VFs $\{\phi, \psi_1,
\ldots,\psi_r\}$ in this algebra depends on the properties of the 
algebra itself, according to Theorem 2. In any case, however, being 
$[\phi,\psi_a]=0$ for all $a=1,\ldots,r$, by the definition of symmetry, 
the JNF is possible for $\phi$ and {\it one} at least of the $\psi_a$, 
or better for all the $\psi_a$ which span an abelian subalgebra
$\H\subseteq \G$.

Let us consider finally the special case of {\it linearizable} DSs, i.e. 
DSs for which all terms are nonresonant and therefore can be removed by a 
(formal) coordinate transformation.
\medskip\pn
{\sl Remark 4.} According to the definition, a DS (3.1) is linearizable if 
$\Ker\A^+=\{0\}$. But a simple consequence of JNF indicates also that 
a condition ensuring the linearizability of a DS is that it admits a LPTI 
symmetry $\psi=(Bu+\~g)\pd_u$ such that $\Ker\A^+\cap\Ker\B_s=\{0\}$. 
More in general, the same is true if 
$\Big(\bigcap_h\Ker\B_{h,s}\Big)\cap\Ker\A^+=\{0\}$ 
where $\psi_h=(B_hu+\~g_h)\pd_u\in \H$, and $\H$ is an abelian 
subalgebra contained in the algebra $\G$ of the admitted symmetries, as
said before. 
\medskip
We also have:
\medskip\pn
{\sl Proposition 3.} If a DS can be linearized, 
then it admits $n$ independent {\it commuting} symmetries, which can be 
simultaneously taken into {\it linear} form by a coordinate transformation.
If, in particular, the system has a diagonalizable $A$ with real 
eigenvalues, then - once it is linearized and $A$ is diagonal -  
the dilations  $\zeta_i=u_i\pd_i$ (no sum over $i$)  along 
each direction $i$, are $n$ linear commuting symmetries for the system. 
Conversely, if there is a coordinate system where the DS 
admits $n$ independent linear commuting symmetries 
$\s_i=B_iu\pd_u$ such that all $B_i$ are semisimple, then the DS can be 
linearized.
\pn
{\sl Proof.} 
In the coordinates where the DS is linear, it is easy to 
construct $n$ linear  commuting symmetries $B_iu\pd_u$, simply choosing  
$n$ independent matrices $B_i$ commuting among themselves and with $A$ 
(if the matrices $I, A, A^2,\ldots,A^{n-1}$ are linearly independent, 
they immediately provide the  matrices $B_i$ ; even if this is not the 
case, the existence of $n$ matrices $B_i$ with the required properties is 
easily verified if $A$ is put in Jordan form).  
The existence of the $n$ independent scalings $\zeta_i$ in the case of 
diagonal $A$ is obvious. Conversely, given  $n$ semisimple 
commuting matrices $B_i$, they can be simultaneously diagonalized: $B_i\to 
{\rm diag}\ (\b^{(i)}_1,\ldots,\b^{(i)}_n)$; now, with respect to the basis 
spanned by the $n$ (independent) vectors $\b^{(i)}\equiv
(\b^{(i)}_1,\ldots,\b^{(i)}_n)$, the symmetries $\s_i=B_iu\pd_u$ become 
$\s_i\to \zeta_i=u_i\pd_i$ (no sum over $i$), i.e. the independent 
dilations along the directions $\b^{(i)}$. A DS admitting such 
$n$ symmetries is necessarily linear.

\bigskip\bigskip\pn
{\sl Acknowledgments.} 
\pn
We are grateful to prof. Giuseppe Marmo for useful discussions.


\vfill\eject

\baselineskip .40 cm 
\Ref

[1] Arnold V. I. (1982) "Geometrical methods in the theory of differential 
equations" (Berlin, Springer)

[2] Arnold V. I. and Il'yashenko Yu. S. (1988) "Ordinary differential 
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