Results 21 to 30 of about 543,835 (181)
Matrix Approaches for Gould–Hopper–Laguerre–Sheffer Matrix Polynomial Identities
The Gould–Hopper–Laguerre–Sheffer matrix polynomials were initially studied using operational methods, but in this paper, we investigate them using matrix techniques.
Tabinda Nahid +2 more
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The Extended Invariant Factor Algorithm with Application to the Forney Analysis of Convolutional Codes [PDF]
In his celebrated paper on the algebraic structure of convolutional codes, Forney showed that by using the invariant-factor theorem, one can transform an arbitrary polynomial generator matrix for an (n, k) convolutional code C into a basic (and ...
McEliece, Robert J., Onyszchuk, Ivan
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Polynomial detection of matrix subalgebras [PDF]
The double Capelli polynomial of total degree 2 t 2t is ∑ { ( s g σ τ ) x σ ( 1 ) y
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Polynomial sequences generated by infinite Hessenberg matrices
We show that an infinite lower Hessenberg matrix generates polynomial sequences that correspond to the rows of infinite lower triangular invertible matrices. Orthogonal polynomial sequences are obtained when the Hessenberg matrix is tridiagonal. We study
Verde-Star Luis
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Biorthogonal matrix polynomials related to Jacobi matrix polynomials
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Varma, Serhan, Taşdelen, Fatma
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The structure of solutions of the matrix linear unilateral polynomial equation with two variables
We investigate the structure of solutions of the matrix linear polynomial equation $A(\lambda)X(\lambda)+B(\lambda)Y(\lambda)=C(\lambda),$ in particular, possible degrees of the solutions.
N.S. Dzhaliuk, V.M. Petrychkovych
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CHARACTERISTIC ANTIADJACENCY MATRIX OF GRAPH JOIN
Let be a simple, connected, and undirected graph. The graph can be represented as a matrix such as antiadjacency matrix. An antiadjacency matrix for an undirected graph with order is a matrix that has an order and symmetric so that the ...
Wahri Irawan, Kiki Ariyanti Sugeng
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A Look at Generalized Degenerate Bernoulli and Euler Matrices
In this paper, we consider the generalized degenerate Bernoulli/Euler polynomial matrices and study some algebraic properties for them. In particular, we focus our attention on some matrix-inversion formulae involving these matrices.
Juan Hernández +2 more
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Depth-4 Lower Bounds, Determinantal Complexity : A Unified Approach [PDF]
Tavenas has recently proved that any n^{O(1)}-variate and degree n polynomial in VP can be computed by a depth-4 circuit of size 2^{O(\sqrt{n}\log n)}. So to prove VP not equal to VNP, it is sufficient to show that an explicit polynomial in VNP of degree
Chillara, Suryajith +1 more
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Extensions of the Eneström-Kakeya theorem for matrix polynomials
The classical Eneström-Kakeya theorem establishes explicit upper and lower bounds on the zeros of a polynomial with positive coefficients and has been generalized for positive definite matrix polynomials by several authors.
Melman A.
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