
TL;DR
This paper investigates the spectral properties of graphs through the tree-forest ratio, demonstrating convergence of certain indices under Barycentric refinements and relating them to potential theory and zeta functions.
Contribution
It introduces the convergence of tree and forest indices to dimension-dependent constants and connects spectral measures to potential theory and zeta functions in graph theory.
Findings
Tree and forest indices converge to dimension-dependent constants.
Spectral measures converge weakly to a measure depending on the graph's dimension.
The paper establishes identities linking the tree-forest index to spectral zeta functions.
Abstract
The number of rooted spanning forests divided by the number of spanning rooted trees in a graph G with Kirchhoff matrix K is the spectral quantity tau(G)= det(1+K)/det(K) of G by the matrix tree and matrix forest theorems. We prove that that under Barycentric refinements, the tree index T(G)=log(det(K))/n and forest index F(G)=log(det(1+K))/n and so the tree-forest index i=F-G=log(tau(G))/n converge to numbers that only depend on the size of the maximal clique in the graph. In the 1-dimensional case, all numbers are known: T(G)=0, F(G)=i(G) =2 log(phi), where phi is the golden ratio. The convergent proof uses the Barycentral limit theorem assuring the Kirchhoff spectrum converges weakly to a measure dk on the positive real axis that only depends on dimension of G. Trees and forests indices are potential values i = U(-1)-U(0) for the subharmonic function U(z)=int_R log|x-z| dk(x) defined…
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Taxonomy
TopicsGraph theory and applications · Random Matrices and Applications · Spectral Theory in Mathematical Physics
