Mathematics Asked by Chao on December 15, 2021
I know that for a bipartite graph, the adjacency matrix can be written as
begin{align}
A =
begin{pmatrix}
0_{rr} & B \ B^T & 0_{ss}
end{pmatrix}.
end{align}
Let $M_{-}$ be the signed incidence matrix and let $C$ be the matrix defined as
begin{align}
C =
begin{pmatrix}
0_{rr} & B \ 0_{rs} & 0_{ss}
end{pmatrix}.
end{align}
I’m interested to find, under which conditions on the graph, the ratio
begin{align}
kappa = frac{sigma_{max}(C)}{tilde{sigma}_{min}(M_{-})}
end{align}
is very small, (i.e. almost zero)? where $sigma_{max}(C)$ is the maximum singular value of the matrix $C$ and $tilde{sigma}_{min}(M_{-})$ is is the minimum non-zero singular value of $M_{-}$.
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