Spectral properties of weighted line digraphs
E. Segawa

TL;DR
This paper investigates the spectral properties of weighted line digraphs derived from connected undirected graphs, revealing how boundary operators influence their spectra and applying findings to analyze the spectrum of the Grover matrix's positive support.
Contribution
It introduces a framework connecting boundary operators to the spectra of weighted line digraphs and applies this to spectral analysis of quantum walk operators.
Findings
Spectrum of the positive support of cube of Grover matrix determined
Weighted line digraphs' spectra depend on boundary operators and Hilbert spaces
Application to large girth graphs enhances understanding of quantum walk spectra
Abstract
In this paper, we treat some weighted line digraphs which are induced by a connected and undirected graph. For a given graph , the adjacency matrix of the weighted line digraph is determined by a boundary operator from an arc-based space to a vertex-based space. We see that depending on the boundary operator and the Hilbert spaces, has different kind of an underlying stochastic transition operator. As an application, we obtain the spectrum of the positive support of cube of the Grover matrix in a large girth of the graph.
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
TopicsGraph theory and applications · Matrix Theory and Algorithms · Random Matrices and Applications
