TITLE: Geometric Proof of Perron-Frobenius
QUESTION [8 upvotes]: I am reading this paper (A Geometric Proof of the Perron-Frobenius Theorem, A. Borobia, U. R. Trias, Revista Mathematica de la Universidad Conplutense de Madrid, Vol. 5, 1992) where a short geometric proof of the Perron-Frobenius theorem is given.
I am having trouble at one place, which I articulate below.
I sacrifice some generality in service of simplicity.
Let $A$ be an $n\times n$ matrix with positive real entries and $T:\mathbf R^n\to \mathbf R^n$ be the linear map whose matrix representation with respect to the standard basis is same as $A$.
Define
$$C=\{(x_1, \ldots, x_n)\in \mathbf R^n:\ x_i>0\}, \quad \bar C=\{(x_1, \ldots, x_n)\in \mathbf R^n:\ x_i\geq 0\}$$
The following are true:

Theorem 1. There is a positive eigenvalue of $T$ with corresponding eigenvector in $C$.
Theorem 2. If $\lambda$ is an eigenvalue as in Theorem 1, then the geometric multiplicity of $\lambda$ is $1$.
Theorem 3. If $\lambda$ is an eigenvalue as in Theorem 1, then the algebraic multiplicity of $\lambda$ is $1$.

(Clearly, Theorem $3$ subsumes Theorem 2.)
Theorem 1 can be proved using Brouwer's fixed point theorem (BFPT).
We notice that if $R$ is the collection of all rays in $\mathbf R^n$ of the form $\{av:\ a\geq 0\}$ for some $v\in \mathbf R^n$ having all entries non-negative, then $R$ is fixed, as a set, by $T$. But $R$ is homeomorphic to the $n-1$ disc, and thus by BFPT we see that there is some ray in $R$ that is fixed by $T$. This immediately gives $1$. (The fixed ray cannot lie in $\partial C$ because all entries of $A$ are positive.)
For Theorem 2 we argue as follows. Let $\lambda$ be a positive eigenvalue of $T$ with $v$ as a corresponding eigenvector, all of whose entries are positive.
If the geometric multiplicity of $\lambda$ is not $1$, then there is a vector $u\notin \text{span}(v)$ with $Tu=\lambda u$.
Let $V$ be the plane spanned by $u$ and $v$.
Each ray in $V$ is fixed by $T$.
But there is a ray in $V$ spanned by a vector in $\partial C$, which cannot remain fixed under $T$, giving a contradiction.
I am stuck with the proof of Theorem 3. The proof in the above-cited paper proceeds as follows.
Let $\lambda$ be a positive eigenvalue with the corresponding eigenvector $v$ having all entries positive.
Assume that the algebraic multiplicity of $\lambda$ is more than $1$.
Then we can find a $T$-invariant plane $U$ containing $\text{span}(v)$.
Let $S^1$ be identified with the set of rays in $U$.
Let $r$ and $-r$ denote the rays spanned by $v$ and $-v$ respectively.
By Theorme 2, $S^1$ is not point-wise fixed under the action of $T$.
And here is what I don't follow:
The set of points in $S^1$ which are fixed by the action of $T^2$ does not consist only of $r$ and $-r$.
Other wise the dynamics of the action of $T^2$ over $S^1$ looks like this

Here $L$ is the arc of $S^1$ formed by the intersection of $S^1$ with the set of rays in $\bar C$.
EDIT: Why $T^2$ needs to have a fixed point apart from $r$ and $-r$ can be argued as follows: Assume on the contrary. Note that $T^2$ is orientation preserving. So the arc "above" the points $-r$ and $r$ (including $-r$ and $r$) is mapped to itself under $T^2$.
Since this is homeomorphic to the closed interval, either all points in the open arc converge to $r$ under iterates of $T^2$, or all points of the open arc converge to $-r$ under iterates of $T^2$. But the sets $C$ and $-C:=\{-x:\ x\in C\}$ are invariant under $T^2$ so we get a contradiction.

Can somebody explain this last piece of reasoning.
And how is it helping us deduce that the algebraic multiplicity of $\lambda$ is $1$.
This argument is at the bottom of the second page of the paper I mentioned.

REPLY [2 votes]: I don't understand the figure in the paper, but we may argue as follows.
Suppose the eigenvalue $\lambda>0$ with eigenvector $v>0$ is not simple. Then there exists some vector $u$, which is independent of $v$, such that $Tu=\lambda u+cv$ for some $c\in\{0,1\}$. Pick a real number $t$ such that $w=tv-u\in\partial\overline C$. This is always possible because $w>0$ when $t\to+\infty$ and $w<0$ when $t\to-\infty$. Note that $w\ne0$ because $u,v$ are linearly independent. 
Then $Tw=\lambda w$ when $c=0$ and $Tw=\lambda w-v$ when $c=1$. The former case is impossible because every nonnegative eigenvector of the nonnegative and irreducible $T$ must be positive but $w$ is not. The latter case is impossible because $Tw$ is nonnegative but $\lambda w-v$ is not.