On linear algebra of r-Hankel and r-Toeplitz matrices with geometric sequence
Baijuan Shi, Can Kızılateş · Journal of Applied Mathematics and Computing · 2024
Abstract Matrix theory plays a crucial role in solving practical problems and performing computational operations. In particular, specific types of matrices and their linear algebraic properties are of paramount significance for these processes. In this paper, we study the properties of r-Hankel and r-Toeplitz matrices whose entries are geometric sequences, and then the determinants, inverse matrix, generalized inverse matrix (the Moore-Penrose inverse), and spectral norms of such matrices are obtained.