Determinants, their applications to Markov processes, and a random walk proof of Kirchhoff's matrix tree theorem

Michael J. Kozdron; Larissa M. Richards; Daniel W. Stroock

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arXiv · 1306.2059

Determinants, their applications to Markov processes, and a random walk proof of Kirchhoff's matrix tree theorem

Michael J. Kozdron·Larissa M. Richards·Daniel W. Stroock

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Abstract

Kirchhoff's matrix tree theorem is a well-known result that gives a formula for the number of spanning trees in a finite, connected graph in terms of the graph Laplacian matrix. A closely related result is Wilson's algorithm for putting the uniform distribution on the set of spanning trees. We will show that when one follows Greg Lawler's strategy for proving Wilson's algorithm, Kirchhoff's theorem follows almost immediately after one applies some elementary linear algebra. We also show that the same ideas can be applied to other computations related to general Markov chains and processes on a finite state space.

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Michael J. Kozdron, Larissa M. Richards, Daniel W. Stroock. 2013-06-09. Determinants, their applications to Markov processes, and a random walk proof of Kirchhoff's matrix tree theorem. https://arxiv.org/abs/1306.2059

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