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Forest matrices around the Laplacian matrix

Pavel ChebotarevTrapeznikov Institute of Control Sciences of the Russian Academy of Sciences, 65 Profsoyuznaya str., Moscow 117997, RussiaRafig AgaevTrapeznikov Institute of Control Sciences of the Russian Academy of Sciences, 65 Profsoyuznaya str., Moscow 117997, Russia
2012en
ABI

Annotatsiya

We study the matrices Q k of in-forests of a weighted digraph Γ and their connections with the Laplacian matrix L of Γ. The (i, j) entry of Q k is the total weight of spanning converging forests (in-forests) with k arcs such that i belongs to a tree rooted at j. The forest matrices, Q k, can be calculated recursively and expressed by polynomials in the Laplacian matrix; they provide representations for the generalized inverses, the powers, and some eigenvectors of L. The normalized in-forest matrices are row stochastic; the normalized matrix of maximum in-forests is the eigenprojection of the Laplacian matrix, which provides an immediate proof of the Markov chain tree theorem. A source of these results is the fact that matrices Q k are the matrix coefficients in the polynomial expansion of adj(λI + L). Thereby they are precisely Faddeev’s matrices for −L. AMS classification: 05C50; 15A48

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