The Pascal-type matrices play a significant role in combinatorial matrix theory and probability. This paper demonstrates an interconnection of certain Pascal-type matrices P and Q with the spectrum of the zero-divisor graph Γ(Rn) of the reduced ring Rn:=Fm×Fm×…×Fm (with n terms), where Fm denotes a finite field with m elements (m being a power of a prime). The graph Γ(Rn) serves as a generalization of the well-known Boolean graph. This paper builds on the spectral study of the Boolean graph by LaGrange and others, to characterize the spectrum of Γ(Rn). The matrices P and Q are utilized to study the spectrum of Γ(Rn). These matrices are both of order n−1, significantly smaller than the order mn−(m−1)n−1 of the adjacency matrix of Γ(Rn). By using Melham and Cooper's work on the eigenvalues of a certain matrix of binomial coefficients, the eigenvalues and the eigenvectors of Q are determined. Further, employing Cauchy's interlacing theorem, it is established that the eigenvalues of the matrices P and −Q, alongside the eigenvalue 0, completely determine all the eigenvalues of the graph Γ(Rn). Moreover, the multiplicity of each of these eigenvalues is determined.
Gahininath Sonawane (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: