On symmetric association schemes and associated quotient-polynomial graphs

preprint2020arXivOpen access

Abstract

Let ΓΓ denote an undirected, connected, regular graph with vertex set XX, adjacency matrix AA, and d+1{d+1} distinct eigenvalues. Let A=A(Γ){\mathcal A}={\mathcal A}(Γ) denote the subalgebra of MatX(C)_X({\mathbb C}) generated by AA. We refer to A{\mathcal A} as the {\it adjacency algebra} of ΓΓ. In this paper we investigate algebraic and combinatorial structure of ΓΓ for which the adjacency algebra A{\mathcal A} is closed under Hadamard multiplication. In particular, under this simple assumption, we show the following: (i) A{\mathcal A} has a standard basis {I,F1,…,Fd}\{I,F_1,\ldots,F_d\}; (ii) for every vertex there exists identical distance-faithful intersection diagram of ΓΓ with d+1d+1 cells; (iii) the graph ΓΓ is quotient-polynomial; and (iv) if we pick F∈{I,F1,…,Fd}F\in \{I,F_1,\ldots,F_d\} then FF has d+1d+1 distinct eigenvalues if and only if span{I,F1,…,Fd}=\{I,F_1,\ldots,F_d\}=span{I,F,…,Fd}\{I,F,\ldots,F^d\}. We describe the combinatorial structure of quotient-polynomial graphs with diameter 22 and 44 distinct eigenvalues. As a consequence of the technique from the paper we give an algorithm which computes the number of distinct eigenvalues of any Hermitian matrix using only elementary operations. When such a matrix is the adjacency matrix of a graph ΓΓ, a simple variation of the algorithm allow us to decide wheter ΓΓ is distance-regular or not. In this context, we also propose an algorithm to find which distance-ii matrices are polynomial in AA, giving also these polynomials.

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