Approximating Diffusion on Finite Multi-Topology Systems Using Ultrametrics

Abstract

Motivated by multi-topology building and city model data, first a lossless representation of multiple $T_0$-topologies on a given finite set by a vertex-edge-weighted graph is given, and the subdominant ultrametric of the associated weighted graph distance matrix is proposed as an index structure for these data. This is applied in a heuristic parallel topological sort algorithm for edge-weighted directed acyclic graphs. Such structured data are of interest in simulation of processes like heat flows on building or city models on distributed processors. With this in view, the bulk of this article calculates the spectra of certain unbounded self-adjoint $p$-adic Laplacian operators on the $L^2$-spaces of a compact open subdomain of the $p$-adic number field associated with a finite graph $G$ with respect to the restricted Haar measure. as well as to a Radon measure coming from an ultrametric on the vertices of $G$ with the help of $p$-adic polynomial interpolation. In the end, error bounds are given for the solutions of the corresponding heat equations by finite approximations of such operators.