Analysis Seminar
Speaker: Hristo Sendov (Western)
"Spectral Manifolds"
Time: 15:30
Room: MC 108
It is well known that the set of all $n \times n$ symmetric
matrices of rank $k$ is a smooth manifold.
This set can be described as those symmetric matrices whose ordered vector of eigenvalues
has exactly $n-k$ zeros. The set of all vectors in $\mathbb{R}^n$ with exactly $n-k$ zero entries
is itself an analytic manifold.
In this work, we characterize the manifolds $M$ in $\mathbb{R}^n$ with the property that the set of all
$n \times n$ symmetric matrices whose ordered vector of eigenvalues belongs to $M$ is a manifold.
In particular, we show that if $M$ is a $C^k$ manifold then so is the
corresponding matrix set for all $k \in \{2,3,\ldots, \infty, \omega\}$. We give a formula for the dimension of the matrix manifold in terms of the
dimension of $M$.
This is a joint work with A. Daniilidis and J. Malick.