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        SINGULAR CASE OF GENERALIZED FIBONACCI AND LUCAS MATRICES

        Miladinovic, Marko,Stanimirovic, Predrag Korean Mathematical Society 2011 대한수학회지 Vol.48 No.1

        The notion of the generalized Fibonacci matrix $\mathcal{F}_n^{(a,b,s)}$ of type s, whose nonzero elements are generalized Fibonacci numbers, is introduced in the paper [23]. Regular case s = 0 is investigated in [23]. In the present article we consider singular case s = -1. Pseudoinverse of the generalized Fibonacci matrix $\mathcal{F}_n^{(a,b,-1)}$ is derived. Correlations between the matrix $\mathcal{F}_n^{(a,b,-1)}$ and the Pascal matrices are considered. Some combinatorial identities involving generalized Fibonacci numbers are derived. A class of test matrices for computing the Moore-Penrose inverse is presented in the last section.

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        SINGULAR CASE OF GENERALIZED FIBONACCI AND LUCAS MATRICES

        Marko Miladinovic,Predrag Stanimirovi 대한수학회 2011 대한수학회지 Vol.48 No.1

        The notion of the generalized Fibonacci matrix <수식> of type s, whose nonzero elements are generalized Fibonacci numbers, is introduced in the paper [23]. Regular case s = 0 is investigated in [23]. In the present article we consider singular case s = -1. Pseudoinverse of the generalized Fibonacci matrix <수식> is derived. Correlations between the matrix <수식> and the Pascal matrices are considered. Some combinatorial identities involving generalized Fibonacci numbers are derived. A class of test matrices for computing the Moore-Penrose inverse is presented in the last section. The notion of the generalized Fibonacci matrix <수식> of type s, whose nonzero elements are generalized Fibonacci numbers, is introduced in the paper [23]. Regular case s = 0 is investigated in [23]. In the present article we consider singular case s = -1. Pseudoinverse of the generalized Fibonacci matrix <수식> is derived. Correlations between the matrix <수식> and the Pascal matrices are considered. Some combinatorial identities involving generalized Fibonacci numbers are derived. A class of test matrices for computing the Moore-Penrose inverse is presented in the last section.

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