Duplication and elimination matrices

In mathematics, especially in linear algebra and matrix theory, the duplication matrix and the elimination matrix are linear transformations used for transforming half-vectorizations of matrices into vectorizations or (respectively) vice versa.

Duplication matrix

The duplication matrix $D_{n}$ is the unique $n^{2}\times {\frac {n(n+1)}{2}}$ matrix which, for any $n\times n$ symmetric matrix $A$ , transforms $\mathrm {vech} (A)$ into $\mathrm {vec} (A)$ :

D_{n}\mathrm {vech} (A)=\mathrm {vec} (A)

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For the $2\times 2$ symmetric matrix $A=\left[{\begin{smallmatrix}a&b\\b&d\end{smallmatrix}}\right]$ , this transformation reads

D_{n}\mathrm {vech} (A)=\mathrm {vec} (A)\implies {\begin{bmatrix}1&0&0\\0&1&0\\0&1&0\\0&0&1\end{bmatrix}}{\begin{bmatrix}a\\b\\d\end{bmatrix}}={\begin{bmatrix}a\\b\\b\\d\end{bmatrix}}

The explicit formula for calculating the duplication matrix for a $n\times n$ matrix is:

$D_{n}^{T}=\sum \limits _{i\geq j}u_{ij}(\mathrm {vec} T_{ij})^{T}$

Where:

$u_{ij}$ is a unit vector of order ${\frac {1}{2}}n(n+1)$ having the value $1$ in the position $(j-1)n+i-{\frac {1}{2}}j(j-1)$ and 0 elsewhere;
$T_{ij}$ is a $n\times n$ matrix with 1 in position $(i,j)$ and $(j,i)$ and zero elsewhere

Here is a C++ function using Armadillo (C++ library):

arma::mat duplication_matrix(const int &n) {
    arma::mat out((n*(n+1))/2, n*n, arma::fill::zeros);
    for (int j = 0; j < n; ++j) {
        for (int i = j; i < n; ++i) {
            arma::vec u((n*(n+1))/2, arma::fill::zeros);
            u(j*n+i-((j+1)*j)/2) = 1.0;
            arma::mat T(n,n, arma::fill::zeros);
            T(i,j) = 1.0;
            T(j,i) = 1.0;
            out += u * arma::trans(arma::vectorise(T));
        }
    }
    return out.t();
}

Elimination matrix

An elimination matrix $L_{n}$ is a ${\frac {n(n+1)}{2}}\times n^{2}$ matrix which, for any $n\times n$ matrix $A$ , transforms $\mathrm {vec} (A)$ into $\mathrm {vech} (A)$ :

L_{n}\mathrm {vec} (A)=\mathrm {vech} (A)

. ^[1]

By the explicit (constructive) definition given by Magnus & Neudecker (1980), the ${\frac {1}{2}}n(n+1)$ by $n^{2}$ elimination matrix $L_{n}$ is given by

L_{n}=\sum _{i\geq j}u_{ij}\mathrm {vec} (E_{ij})^{T}=\sum _{i\geq j}(u_{ij}\otimes e_{j}^{T}\otimes e_{i}^{T}),

where $e_{i}$ is a unit vector whose $i$ -th element is one and zeros elsewhere, and $E_{ij}=e_{i}e_{j}^{T}$ .

Here is a C++ function using Armadillo (C++ library):

arma::mat elimination_matrix(const int &n) {
    arma::mat out((n*(n+1))/2, n*n, arma::fill::zeros);
    for (int j = 0; j < n; ++j) {
        arma::rowvec e_j(n, arma::fill::zeros);
        e_j(j) = 1.0;
        for (int i = j; i < n; ++i) {
            arma::vec u((n*(n+1))/2, arma::fill::zeros);
            u(j*n+i-((j+1)*j)/2) = 1.0;
            arma::rowvec e_i(n, arma::fill::zeros);
            e_i(i) = 1.0;
            out += arma::kron(u, arma::kron(e_j, e_i));
        }
    }
    return out;
}

For the $2\times 2$ matrix $A=\left[{\begin{smallmatrix}a&b\\c&d\end{smallmatrix}}\right]$ , one choice for this transformation is given by

L_{n}\mathrm {vec} (A)=\mathrm {vech} (A)\implies {\begin{bmatrix}1&0&0&0\\0&1&0&0\\0&0&0&1\end{bmatrix}}{\begin{bmatrix}a\\c\\b\\d\end{bmatrix}}={\begin{bmatrix}a\\c\\d\end{bmatrix}}

.

Notes

^ Magnus & Neudecker (1980), Definition 3.1

References

Magnus, Jan R.; Neudecker, Heinz (1980), "The elimination matrix: some lemmas and applications", SIAM Journal on Algebraic and Discrete Methods, 1 (4): 422–449, doi:10.1137/0601049, ISSN 0196-5212.
Jan R. Magnus and Heinz Neudecker (1988), Matrix Differential Calculus with Applications in Statistics and Econometrics, Wiley. ISBN 0-471-98633-X.
Jan R. Magnus (1988), Linear Structures, Oxford University Press. ISBN 0-19-520655-X

[1] Magnus & Neudecker (1980), Definition 3.1

[1]

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