Mersin, Efruz ÖzlemBahşi, Mustafa2024-07-302024-07-3020241303-59912618-6470https:/dx.doi.org/10.31801/cfsuasmas.1299736https://hdl.handle.net/20.500.12451/12268Frank matrix is one of the popular test matrices for eigenvalue routines because it has well-conditioned and poorly conditioned eigenvalues. In this paper, we investigate the bounds for the maximum eigenvalues of the special cases of the generalized Frank matrices which are called Fibonacci-Frank and Lucas-Frank matrices. Then, we obtain the Euclidean norms and the upper bounds for the spectral norms of these matrices.eninfo:eu-repo/semantics/openAccessFibonacci SequenceLucas SequenceFrank MatrixEigenvalueBoundsNormArticle73242043610.31801/cfsuasmas.1299736N/A