Given a graph $G$ on $n$ nodes, let ${cal P_G$ denote the cone consisting of the positive semidefinite $ntimes n$ matrices (with real or complex entries) having a zero entry at every position corresponding to a non edge of $G$. Then, the order of $G$ is defined as the maximum rank of a matrix lying on an extreme ray of the cone ${cal P_G$. It is shown in [AHMR88] that the graphs of order 1 are precisely the chordal graphs and a characterization of the graphs having order $2$ is conjectured there in the real case. We show in this paper the validity of this conjecture. Moreover, we characterize the graphs with order 2 in the complex case and we give a decomposition result for the graphs having order $le 2$ in both real and complex cases. As ...
The minimum semidefinite rank (msr) of a graph is defined to be the minimum rank among all positive ...
The minimum semidefinite rank (msr) of a graph is defined to be the minimum rank among all positive ...
AbstractZeros in positive definite correlation matrices arise frequently in probability and statisti...
Given a graph $G$ on $n$ nodes, let ${cal P_G$ denote the cone consisting of the positive semidefini...
Given a graph $G$ on $n$ nodes, let ${cal P_G$ denote the cone consisting of the positive semidefini...
The article of record as published may be found at http://dx.doi.org/10.1016/j.laa.2016.07.026For a ...
Completion problems for partial matrices are defined and partial matrices are associated to bipartit...
The minimum semidefinite rank (msr) of a graph is the minimum rank among positive semidefinite matri...
The minimum semidefinite rank (msr) of a graph is the minimum rank among positive semidefinite matri...
The question of when zeros (i.e., sparsity) in a positive definite matrix A are pre-served in its Ch...
AbstractLet G be an undirected graph on vertices {1,…,n}. Let M(G) be the convex cone of all positiv...
Several efficient algorithms have been proposed to construct a perfect elimination ordering of the v...
Several efficient algorithms have been proposed to construct a perfect elimination ordering of the v...
Several efficient algorithms have been proposed to construct a perfect elimination ordering of the v...
AbstractZeros in positive definite correlation matrices arise frequently in probability and statisti...
The minimum semidefinite rank (msr) of a graph is defined to be the minimum rank among all positive ...
The minimum semidefinite rank (msr) of a graph is defined to be the minimum rank among all positive ...
AbstractZeros in positive definite correlation matrices arise frequently in probability and statisti...
Given a graph $G$ on $n$ nodes, let ${cal P_G$ denote the cone consisting of the positive semidefini...
Given a graph $G$ on $n$ nodes, let ${cal P_G$ denote the cone consisting of the positive semidefini...
The article of record as published may be found at http://dx.doi.org/10.1016/j.laa.2016.07.026For a ...
Completion problems for partial matrices are defined and partial matrices are associated to bipartit...
The minimum semidefinite rank (msr) of a graph is the minimum rank among positive semidefinite matri...
The minimum semidefinite rank (msr) of a graph is the minimum rank among positive semidefinite matri...
The question of when zeros (i.e., sparsity) in a positive definite matrix A are pre-served in its Ch...
AbstractLet G be an undirected graph on vertices {1,…,n}. Let M(G) be the convex cone of all positiv...
Several efficient algorithms have been proposed to construct a perfect elimination ordering of the v...
Several efficient algorithms have been proposed to construct a perfect elimination ordering of the v...
Several efficient algorithms have been proposed to construct a perfect elimination ordering of the v...
AbstractZeros in positive definite correlation matrices arise frequently in probability and statisti...
The minimum semidefinite rank (msr) of a graph is defined to be the minimum rank among all positive ...
The minimum semidefinite rank (msr) of a graph is defined to be the minimum rank among all positive ...
AbstractZeros in positive definite correlation matrices arise frequently in probability and statisti...