Rank equalities and inequalities for Kronecker products of matrices with applications. (Q1428183)

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scientific article; zbMATH DE number 2056333
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Rank equalities and inequalities for Kronecker products of matrices with applications.
scientific article; zbMATH DE number 2056333

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    Rank equalities and inequalities for Kronecker products of matrices with applications. (English)
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    14 March 2004
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    Let \(A_1,\dots ,A_k\) be square matrices of orders \(n_1,\dots ,n_k\), respectively, and denote \(A=A_1\otimes\cdots\otimes A_k\), \(n=n_1\dots n_k\), where \(A\otimes B\) is the Kronecker product of \(A=(a_{ij})_{m\times n}\) and \(B=(b_{ij})_{p\times q}\) over a field \({\mathbb F}\), i.e., \(A\otimes B=(a_{ij}B)\in{\mathbb F}^{mp\times nq}\). Several rank equalities and inequalities are established. The obtained results are applied to find upper and lower bounds for the dimension of the range of the linear transformations \(T_1(X)=X-AXB\) and \(T_2(X)=AX-XB.\) The following inequality is proved. Theorem: Let \(A=A_1\otimes\cdots\otimes A_k,\) and denote \(rk(I_{n_i}-A_i)=r_i\), \(i=1,\dots ,k\). Then \(rk(I_n-A)\leq n-(n_1-r_1)(n_2-r_2)\dots (n_k-r_k)\).
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    Kronecker product
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    rank equality
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    block matrix
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    linear transformation
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    range
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    dimension
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    rank inequality
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