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Constructing random graphs with given eigenvalues and eigenvectors

In Linial's presentation on SOME PROBLEMS AND RESULTS IN THE GEOMETRY OF GRAPHS, on slide 7, some relations of properties of graphs to the eigenvalues of their adjacency matrix are listed, e.g. if $G$...
Manfred Weis's user avatar
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Controlling quantity related to Laplacian pseudo-inverse of Erdős–Rényi graph

Consider an $n$-node undirected graph $G = (V, E)$ equipped with weights $W$. Let $L$ be the weighted graph Laplacian matrix, i.e. $L_{ij} = -W_{(i,j)}$ for $(i,j)\in E$ and $L_{ii} = \sum_{j:(i,j)\in ...
yy98's user avatar
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3 votes
1 answer
454 views

Difference of pseudoinverse bound under assumptions

This seems like a standard problem, but unable to find a solution online. Suppose we have two singular PSD matrices A and B with the following assumptions: $ 0 < x \leq ||A|| \leq y$ $ 0 < ||...
MJagota's user avatar
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Quasi-stationary measure on a finite graph equals stationary measure?

Assume the simple random walk $X$ on the graph $G(V,E)$, s.t. $G$ is simple, undirected, finite, connected and let $B \subset V$, s.t. $V\setminus B$ is connected. Let $\sigma_B$ be the quasi-...
jondal's user avatar
  • 71
5 votes
1 answer
1k views

How many distinct eigenvalues does a random graph have?

It is well-known that a random graph a.e. has diameter 2. It is also well-known that the number of distinct eigenvalues of a graph is at least the diameter plus one. But what is known about the ...
Felix Goldberg's user avatar