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Listed below are some important classes of matrices used in mathematics : For the square matrix section, see square matrix. ...
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(0,1)-matrix or binary matrix - a matrix with all elements either 0 or 1. Adjacency matrix - a (0,1)-matrix that is square with all diagonal elements zero. Used to represent the connectivity of a graph. Alternating sign matrix - a generalization of permutation matrices that arises from Dodgson condensation . Anti-Hermitian matrix - another name for a skew-Hermitian matrix . Anti-symmetric matrix - another name for a skew-symmetric matrix . Band matrix - a square matrix with all entries off a diagonally bordered "band" equal to zero. Bezoutian matrix - a tool for efficient location of polynomial zeros Block diagonal matrix - a block matrix with entries only on the diagonal. Block matrix - a matrix partitioned in sub-matrices called blocks. Cartan matrix Circulant matrix - a matrix where each row is a circular shift of its predecessor. Companion matrix - the companion matrix of a polynomial is a special form of matrix, whose eigenvalues are equal to the roots of the polynomial. Coxeter matrix Diagonal matrix - a square matrix with all entries off the main diagonal equal to zero. Diagonalizable matrix - a square matrix similar to a diagonal matrix. It has a complete set of linearly independent eigenvectors . Distance matrix Gell-Mann matrices Generalized permutation matrix - a square matrix with precisely one nonzero element in each row and column. Gramian matrix - a real symmetric matrix that can be used to test for linear independence of any function . Hadamard matrix - square matrix with entries +1, −1 whose rows are mutually orthogonal. Hankel matrix - a matrix with constant off diagonals; also an upside down Toeplitz matrix. A square Hankel matrix is symmetric. Hermitian matrix - a square matrix which is equal to its conjugate transpose , A = A * . Hessenberg matrix - an "almost" triangular matrix, for example, an upper Hessenberg matrix has zero entries below the first subdiagonal. Hessian matrix Hilbert matrix - a Hankel matrix with elements H ij = (i + j − 1)−1 . Identity matrix - a square diagonal matrix, with all entries on the main diagonal equal to 1, and the rest 0. Invertible matrix - a square matrix with a multiplicative inverse. Matrix exponential - defined by the exponential series Matrix representation of conic sections Nilpotent matrix Nonnegative matrix - a matrix with all nonnegative entries. Normal matrix - a square matrix that commutes with its conjugate transpose . Normal matrices are precisely the matrices to which the spectral theorem applies. Orthogonal matrix - a matrix whose inverse is equal to its transpose , A −1 = A T . Orthonormal matrix - matrix whose columns are orthonormal vectors. Overlap matrix Pauli matrices Payoff matrix Permutation matrix - matrix representation of a permutation . Persymmetric matrix - a matrix that is symmetric about its northeast-southwest diagonal, i.e., a ij = a n −j +1,n −i +1 Pick matrix - occurs in the study of analytical interpolation problems Positive-definite matrix - a Hermitian matrix with every eigenvalue positive. Positive matrix - a matrix with all positive entries. S matrix - in physics Singular matrix - a noninvertible square matrix. Similarity matrix Skew-Hermitian matrix - a square matrix which is equal to the negative of its conjugate transpose , A * = −A . Skew-symmetric matrix - a matrix which is equal to the negative of its transpose , A T = −A . Sparse matrix - containing mostly zeros Square matrix - an n by n matrix. The set of all square matrices form an associative algebra with identity. Stochastic matrix - a positive matrix describing a stochastic process . The sum of entries of any row is one. Substitution matrix Symmetric matrix - a square matrix which is equal to its transpose , A = A T . Symplectic matrix - a square matrix preserving a standard skew-symmetric form. Toeplitz matrix - a matrix with constant diagonals. Totally positive matrix - a matrix with determinants of all its square submatrices positive. It is used in generating the reference points of Bézier curve in computer graphics . Totally unimodular matrix - a matrix for which every non-singular square submatrix is unimodular . This has some implications in the linear programming relaxation of an integer program . Transformation matrix Transition matrix - a matrix representing the probabilities of changing from one state to another Triangular matrix - a matrix with all entries above the main diagonal equal to zero (lower triangular) or with all entries below the main diagonal equal to zero (upper triangular). Tridiagonal matrix - a matrix with the only nonzero entries on the main diagonal and the diagonals just above and below the main one. Unimodular matrix - a square matrix with determinant +1 or −1. Unitary matrix - a square matrix whose inverse is equal to its conjugate transpose , A −1 = A * . Vandermonde matrix - a row consists of 1, a , a 2 , a 3 , etc., and each row uses a different variable Walsh matrix Wronskian Zero matrix - a matrix with all entries equal to zero.