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Matrix rank shouldn't be bewildered with tensor order, which known as tensor rank. Tensor purchase is the quantity of indices needed to compose a tensor, and so matrices all have tensor purchase 2.
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. This definition has the gain that it can be applied to any linear map without having will need for a selected matrix.
It is simple to point out that neither the row rank nor the column rank are modified by an elementary row Procedure. As Gaussian elimination proceeds by elementary row functions, the decreased row echelon sort of a matrix has the same row rank and precisely the same column rank as the first matrix.
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