Eigenbasis for a weighted adjacency matrix associated with the projective geometry $B_q(n)$
Murali K. Srinivasan

TL;DR
This paper provides an explicit eigenbasis for a weighted adjacency matrix related to projective geometry, offers new proofs for its eigenvalues, and demonstrates the $Q$-polynomial property through eigenvector analysis.
Contribution
It explicitly constructs an eigenbasis, evaluates eigenvector products to re-derive eigenvalues, and proves the $Q$-polynomial property via dual adjacency matrix analysis.
Findings
Explicit eigenbasis for the weighted adjacency matrix
New proof of eigenvalues and multiplicities
Demonstration of the $Q$-polynomial property
Abstract
In a recent article "Projective geometries, -polynomial structures, and quantum groups" Terwilliger (arXiv:2407.14964) defined a certain weighted adjacency matrix, depending on a free (positive real) parameter, associated with the projective geometry, and showed (among many other results) that it is diagonalizable, with the eigenvalues and their multiplicities explicitly written down, and that it satisfies the -polynomial property (with respect to the zero subspace). In this note we (i) Write down an explicit eigenbasis for this matrix. (ii) Evaluate the adjacency matrix-eigenvector products, yielding a new proof for the eigenvalues and their multiplicities. (iii) Evaluate the dual adjacency matrix-eigenvector products and directly show that the action of the dual adjacency matrix on the eigenspaces of the adjacency matrix is block-tridiagonal, yielding a new proof of the…
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Taxonomy
TopicsMatrix Theory and Algorithms · graph theory and CDMA systems · Advanced Topics in Algebra
