diagonal matrix

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Noun1.diagonal matrix - a square matrix with all elements not on the main diagonal equal to zero
square matrix - a matrix with the same number of rows and columns
scalar matrix - a diagonal matrix in which all of the diagonal elements are equal
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matrice diagonale
References in periodicals archive ?
where [Z.sup.(r)] is the matrix of the labeled set, the matrix [H.sub.n] is a centering matrix, and the matrix [D.sup.(r)] is a diagonal matrix for the rth media data.
[F.sub.BB][k], which can be got by water-filling is the diagonal matrix of [P.sub.s].
In our notation, the linear algebraic system [Au.sup.N] = [f.sup.N] is multiplied from the left by the diagonal matrix
[M.sub.C] = [X.sup.H.sub.A] x [X.sub.A] + [X.sup.H.sub.B] x [X.sub.B] is a diagonal matrix of the fluid-structural coupled modal masses, and [[OMEGA].sub.C] = diag[[[omega].sub.C0], [[omega].sub.C1], [[omega].sub.C2], ...] is a diagonal matrix of the fluidstructural coupled natural frequencies.
Singular value decomposition (SVD), decomposes a matrix into left and right singular vectors and a diagonal matrix of singular values.
where [[GAMMA].sub.Rx] is a [N.sub.Rx] x K matrix with its kth column contains [s.sub.Rx] ([[theta].sub.k]), [[GAMMA].sub.Tx] is [N.sub.Tx] x K matrix constructed in a similar manner from [s.sub.Tx]([[theta].sub.k]), [beta] is a K x K diagonal matrix with its elements containing [[beta].sub.k], and
(i) MIMO systems can be decomposed into a number of single-input single-output (SISO) systems using the unit diagonal matrix decoupling method.
(i) there is no graph with v [greater than or equal to] 3 (independence of off diagonal matrix elements);
if [gamma] has multiplicity m> 1 as an eigenvalue of A, and A is diagonal matrix, we can also choose n independent functions with the form [t.sup.k] exp([gamma]t), k = 0,1, ..., n - 1.
where [mathematical expression not reproducible] is a vector of the disturbance estimate of the observer output and [K.sub.9] [member of] [R.sup.3x3] is a positive definite diagonal matrix, and [beta] [member of] [R.sup.3] is the intermediate vector for the design.
where [k.sub.1] [member of] [R.sup.3x3] is a diagonal matrix and each diagonal element of the matrix is a positive constant.
Finally, in the last section, we prove that each symmetric nonsingular idempotent matrix is equivalent to a block diagonal matrix and a decomposition of the maximal subgroup containing a symmetric idempotent matrix is given (see Theorem 17).