Operator theory of electrical resistance networks
Abstract
A resistance network is a weighted graph (G,c) with intrinsic (resistance) metric R. We embed the resistance network into the Hilbert space H E of functions of finite energy. We use the resistance metric to study H E, and vice versa and show that the embedded images of the vertices \vx\ form a reproducing kernel for this Hilbert space. We also obtain a discrete version of the Gauss-Green formula for resistance networks and show that resistance networks which support nonconstant harmonic functions of finite energy have a certain type of boundary. We obtain an analytic boundary representation for the harmonic functions of finite energy in a sense analogous to the Poisson or Martin boundary representations, but with different hypotheses, and for a different class of functions. In the process, we construct a dense space of "smooth" functions of finite energy and obtain a Gel'fand triple for H E. This allows us to represent the resistance network as a system of Gaussian random variables indexed by vertices. We also study the spectral representation for on H E and show how nonzero defect entails a nontrivial boundary. All of the above are are detected by the operator theory of H E but not 2. Our results apply to the Heisenberg model for the isotropic ferromagnet, improving earlier results of R. T. Powers on the problem of long-range order (in reference to KMS states on the C-algebra of the model).