Discrete trace formulas and holomorphic functional calculus for the adjacency matrix of regular graphs
Yulin Gong, Wenbo Li, Shiping Liu

TL;DR
This paper introduces a unified approach using holomorphic functional calculus to analyze the spectra of regular graphs' adjacency matrices, deriving trace formulas and providing new proofs for classical problems in spectral graph theory.
Contribution
It develops a systematic method to connect spectral properties with combinatorial graph features via non-backtracking matrices and holomorphic calculus.
Findings
Derived discrete trace formulas linking spectrum and graph structure
Provided new proofs for walk counting and Ihara-Bass formula
Unified framework for heat and Schrödinger equations on graphs
Abstract
We provide a unified method to study the adjacency matrices of regular graphs (including infinite ones) using holomorphic functional calculus. By applying this calculus on a specific ellipse that contains the spectrum, we derive an expansion of using non-backtracking matrices. This framework allows us to systematically obtain discrete trace formulas that link spectral theory with graph combinatorics. To show how this method works, we give new proofs for several well-known problems, such as walk counting, the Ihara-Bass formula, and solutions to the heat and Schr\"odinger equations on graphs.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Graph theory and applications · Electromagnetic Scattering and Analysis
