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\title{Eigenspaces and the Fundamental Theorem of Algebra}
\author{Norbert A'Campo}

\begin{document}

\maketitle



\noindent
The  following well-known theorem will be proved first, and then the so-called Fundamental Theorem of Algebra will be deduced from it.
\begin{Th} 
Let $V$ be a $\C$-vectorspace of finite dimension, 
$\dim V\geq 2$, and let $A:V\to V$ be a linear transformation.
Then there exists a linear subspace $W$ in $V$ with 
$A(W)\subset W $ and $ 0< \dim W < \dim V $.
\end{Th}

\medskip\noindent{\bf Preliminaries:}
{\bf 1.}  The angular variation $\theta=\theta(x,y)\in(-\pi/3,\pi/3)$ is 
defined for 
$x\in\C,y\in\C$, with  $|x-y|<\Min \{|x|,|y|\}$ 
by the equation 
$${y\over x} \cdot {|x| \over |y|}=\cos\theta+i \sin\theta=e^{i\theta}.$$
For $x,y,z\in\C$ with
$|x-y|<\Min\{|x|,|y|\}$,
$|y-z|<\Min\{|y|,|z|\}$ 
and 
$|x-z|<\Min\{|x|,|z|\}$ 
the angular variations
obey the following additive rule: 
$\theta(x,z)=\theta(x,y)+\theta(y,z).$

\noindent{\bf 2.}  For a continuous curve $\gamma:[0,1]\to\C-\{0\} $ the angular variation along $ \gamma$ is defined to be
$$\theta(\gamma):=\theta_N(\gamma):=\sum^N_{n=1} \theta\left(\gamma\left({n-1 \over N}\right),\gamma\left({n\over N}\right)\right)\in\R,$$
where $N\in \N,N\not=0$, is chosen in such a way that for all $t,t'\in[0,1]$ with
$|t-t'|\leq{1\over N}$
the inequality
$|\gamma(t)-\gamma(t')|<\Min\{|\gamma(t)|,|\gamma(t')|\}$
holds.  The angular variation $\theta(\gamma)$ does not depend on the actual choice of  $N,$ since for two such choices  $N$ and $N',$ it follows from the additive rule: 
$\theta_N(\gamma)=\theta_{NN'}(\gamma)=\theta_{N'}(\gamma).$
The angular variation $\theta(\gamma)=\theta_N(\gamma)$ satisfies:
$${\gamma(0)\over\gamma(1)}\cdot e^{i\theta(\gamma)}=
\prod^N_{n=1} {|\gamma({n-1\over N})|\over |\gamma({n\over N})|}
\in\R_+.$$
\noindent{\bf 3.} For a closed continuous curve $\gamma:[0,1]\to\C-\{0\}$ it follows ${1\over2\pi}\theta(\gamma)\in\Z.$ To see this, observe: 
$e^{i\theta(\gamma)}={\gamma(o)\over\gamma(1)} \cdot e^{i\theta(\gamma)}\in\R_+.$

\noindent{\bf 4.} For a constant curve $\gamma:[0,1]\to\C-\{0\}$ we have $\theta(\gamma)=0$. To see this, compute with $N=1$.

\noindent{\bf 5.}  For the curve $\gamma:[0,1]\to\C-\{0\}, \gamma(t)=a e^{2\pi int},n\in\Z, a\in\C, a\not=0$,
we have $\theta(\gamma)=2\pi n$. Compute with $N=6|n|+1$.

\noindent{\bf 6.} For a continuous family $(\gamma_{s})_{s\in[0,1]}$ of closed, continuous curves $\gamma_{s}:[0,1]\to\C-\{0\}$ we have $\theta(\gamma_{0}) = \theta(\gamma_{1}).$


\begin{Proof} 
The function $(t,s)\in[0,1]\times[0,1] \mapsto\gamma_{s}(t)\in\C-\{0\}$ is    uniformly continuous. Choose $N\in\N,N\not=0,$ in such a way that for all 
$(t,s),(t',s')\in[0,1]\times
[0,1]$ with $|t-t'|\leq{1\over N}, |s-s'|\leq{1\over N}$ the inequality $|\gamma_{s}(t)-\gamma_{s'}(t')|<\Min\{|\gamma_{s}(t)|,
|\gamma_{s'}(t')|\}$ 
holds. The function
$$s\in[0,1]\mapsto{1\over 2\pi}\theta(\gamma_{s})=
{1\over 2\pi} \sum^N_{n=1} \theta\left(
\gamma_{s}\left({n-1\over N}\right),\gamma_{s}\left({n\over N}\right)
\right)\in \R$$
is continuous, with values in $\Z$ by 3, and therefore constant. Hence $\theta(\gamma_{0})=\theta(\gamma_{1}).$
\end{Proof}

\begin{Proof of the theorem} 
Choose a basis $f_{1}, ... ,f_{d}$, $d=\dim(V)$, for $V$ and consider the function
$$ \phi: V\to\C, u\in V\mapsto \phi(u):= \det(B_{u}),$$
where $B_{u}: V\to V, u\in V,$ is the linear transformation given by
$$B_{u}(f_{j})= A^{j-1}(u),\  1\leq j\leq d.$$
We have
$\phi(\lambda u)= \lambda^{\dim(V)} \phi(u),$
for $\lambda\in\C, u\in V$.
For any $w\in W$ with $w\not=0$ and $\phi(w)=0$ the subspace
$W=: \Span[w,A(w), ... ,A^{d-1}(w)]$ satisfies:
$A(W)\subset W \quad \hbox{\rm and } \quad 0<\dim(W)<\dim(V).$
Therefore it suffices to prove the existence of a vector $w\in V$ 
with $w\not=0 $ and $\phi(w)=0.$

\begin{center}
\scalebox{0.5}[0.5]{\includegraphics{ea.eps}}
\newline
{Fig. 1. $a:=e^{2\pi it}u,\,\,b:=(1-s)a+sv=(1-s)e^{2\pi it}u +sv$}
\end{center}



Choose in $V$ two linear independent vectors $u$ and $v$, and 
consider the  family of curves
$\gamma_{s} : [0,1] \to \C, s\in[0,1]$ given by:
$$\gamma_{s}(t)= \phi\left(\left(1-s\right) e^{2\pi i t} u +s v\right).$$
We claim: there exists $(t,s)\in [0,1] \times [0,1]$ such 
that $\gamma_{s}(t) = 0 $, and the vector 
$w:= (1-s) e^{2\pi i t} u + s v\in V$ satisfies $w\not=0$ 
and $\phi(w)=0$.
We prove the claim by contradiction. Assume 
$\gamma_{s}(t)\not=0$ for all 
$(t,s)\in [0,1] \times [0,1]$. Observe
$$ \gamma_{0}(t)= e^{2\pi i t \dim(V) } \phi(u),\,\,\,\gamma_{1}(t) = \phi(v).$$
We obtain:
$2\pi\dim(V) = \theta(\gamma_0) = \theta(\gamma_1) = 0,$
using   the preliminaries 5, 6 and 4, which  contradicts the hypothesis 
$\dim V \ge 2$.
\end{Proof of the theorem}

\begin{Cor}Let $V$ be a vectorspace of finite 
dimension, $\dim V\geq1$, and let
$A:V\to V$ a linear transformation. Then there exists a 
linear subspace
$L$ in $V$ with $A(L)\subset L$ and $\dim L=1$. Moreover, 
every $v\in L$, $v\not=0$, is
an eigenvector, i.e. for some $\lambda\in \C$ the 
equation $A(v)=\lambda v$ holds.  The matrix of $A$ is 
uppertriangular with respect to some basis of $V.$
\end{Cor}

\begin{Proof} Consider a chain of maximal length of linear 
subspaces in V,$W_0\subset W_1\subset ... \subset W_r$
with $A(W_{j})\subset W_{j}$ and $\dim W_{j+1}<\dim W_{j}.$ 
Then $W_0=\{0\},W_r=V$ and $A$ induces on each quotient 
space $W_{j}/W_{j-1}$ a linear transformation, say $A_j,$ such 
that there is no subspace $W$ in $W_{j}/W_{j-1}$ with 
$A_j(W) \subset W$ and $0 < \dim(W) < \dim(W_{j}/W_{j-1}).$ So, by 
the theorem we have $\dim(W_{j}/W_{j-1})=1.$ Then $\dim W_{j}=j$ and 
the subspace  $L:=W_{1}$ has the property of the corollary.
A system $e_1,e_2, .. ,e_r$ such 
that $e_j \notin  W_{j-1},1\leq j\leq r,$ is a basis
of $V$ for which the matrix of $A$ is uppertriangular.
\end{Proof}

\begin{Cor} {\rm (``Fundamental Theorem of Algebra'')} Let
$P(X)\in\C[X]$
be a polynomial of degree $\geq 1$. Then their 
exists $\lambda\in\C$ with $P(\lambda)=0$.
\end{Cor}

\begin{Proof}
Let
$P(X)=X^{n}+c_{n-1}X^{n-1}+ ... +c_{0}\in\C[X]$
be a polynomial of degree $n\geq 1$.
Consider the linear transformation $A:\C^{n} \to \C^{n}$ acting 
on the standard basis $e_{1},e_{2}, \dots  ,e_{n}$ of $\C^{n}$ as follows:
$$A(e_{j})=e_{j+1},\  1\leq j <n,\,\,\,\,A(e_{n})=-\sum_{j=1}^{j=n}c_{j-1}e_{j}.$$
Clearly 
$P(A)(e_{1})=0$ and 
$P(A)(e_{j})=P(A)(A^{j-1}(e_{1}))=A^{j-1}(P(A)(e_{1}))=0$,
$1<j\leq n$. We conclude 
that $P(A)=0$. Thus for  an eigenvector $v\in \C^{n}$, 
with eigenvalue $\lambda\in \C$, we get 
$0=P(A)(v)=P(\lambda)v$, and hence  $P(\lambda)=0$.
\end{Proof}

Remark. The Fundamental Theorem of Algebra was proved 
by C. Gauss [G]. As is
done in the textbooks on Linear Algebra, one can use 
it also to proof directly
the existence of eigenvectors for endomorphism of 
finite dimensional vector
spaces over $\C$. A first appearance of 
eigenvectors for
symetric matrices is
in the work of Cauchy on inertials 
elipsoids (see the textbook  of P.M. Cohn [C]).
The Jordan Normal Form Theorem is formulated and 
proved by C. Jordan [J] for
general fields $k$. If any polynomial 
$\chi(t) \in k[t]$ of positiv degree
factors in $k[t]$ in polynomials of degree one, 
the Normal Form Theorem proofs
the existence of invariant flags for endomorphisms of finite dimensional
vector spaces over the field $k$.

[C] P.M. Cohn, Algebra, Wiley, New York, 1982.

[J] Camille Jordan, Trait\'e des substitutions et \'equations alg\'ebriques,
Gauthiers-Villars, Paris, 1957.

[G] C. Gauss, .

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