TITLE: What properties does a rank-$1$ matrix have?
QUESTION [7 upvotes]: I have seen a lot of papers mentioning that a certain matrix is rank-$1$. What properties does a rank-$1$ matrix have? 
I know that if a matrix is rank-$1$ then there are no independent columns or rows in that matrix.

REPLY [6 votes]: Any rank one matrix $A$ can always be written $A=xy^\intercal$ for vectors $x$ and $y$. More precisely...

Proposition: A matrix in $\mathbb{C}^{n\times n}$ has rank one if and only if it can be written as the outer product of two nonzero
  vectors in $\mathbb{C}^{n}$ (i.e., $A=xy^{\intercal}$).

Proof. This follows from the observation
$$
\begin{pmatrix}x_{1}y^{\intercal}\\
x_{2}y^{\intercal}\\
\vdots\\
x_{n}y^{\intercal}
\end{pmatrix}=xy^{\intercal}=\begin{pmatrix}y_{1}x & y_{2}x & \cdots & y_{n}x\end{pmatrix}.
$$

Corollary: The eigenspace of a rank one matrix in $\mathbb{C}^{n\times n}$ is one dimensional.

Proof. If $A$ is a rank one matrix in $\mathbb{C}^{n\times n}$, the previous result tells us that it can be written in the form $A=xy^{\intercal}$. Next, note that for any vector $w$ in $\mathbb{C}^{n}$, 
$$
Aw=(xy^{\intercal})w=(y^{\intercal}w)x.
$$
Since $(y^{\intercal}w)$ is a scalar, it follows that if $w$ is
an eigenvector of $A$, it must be a multiple of $x$. In other words,
the eigenspace of $A$ is
$$
\operatorname{span}(x)=\left\{ \alpha x\colon\alpha\in\mathbb{C}\right\} .
$$