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Damped random walks and the characteristic polynomial of the weighted Laplacian on a graph by Desai, Madhav; Narayanan, Hariharan is a scholarly article available to read on EtoBox.

What is Damped random walks and the characteristic polynomial of the weighted Laplacian on a graph about?

For $\lambda>0$, we define a $\lambda$-damped random walk to be a random walk that is started from a random vertex of a graph and stopped at each step with probability $\frac{\lambda}{1+\lambda}$, otherwise continued with probability $\frac{1}{1+\lambda}$. We use the Aldous-Broder algorithm (\cite{aldous, broder}) of generating a random spanning tree and the Matrix-tree theorem to relate the values of the characteristic polynomial of the Laplacian at $\pm \lambda$ and the stationary measures of the sets of nodes visited by $i$ independent $\lambda$-damped random walks for $i \in \N$. As a corollary, we obtain a new characterization of the non-zero eigenvalues of the Weighted Graph Laplacian.

Author

Desai, Madhav; Narayanan, Hariharan

Published

2005

Language

EN