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See also: matrix determinant, order of a matrix, linear dependence | ![]() ![]() |
The order of a matrix is a measure of its shape and size. However, the
order does not provide any hints on the information content of a matrix.
The 53-matrices
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differ in their information content, since the first and the second matrix contain rows and columns which are multiples of other rows and columns (some rows/columns are linearly dependent). The concept of linear independence leads to the definition of the row and column rank of an arbitrary matrix A:
Row Rank Column Rank |
The maximum number of linearly independent rows in A is called the row rank of A; the maximum number of linearly independent columns in A is called the column rank of A. |
It is a very important, and somewhat even surprising, result of matrix
theory that row and column rank of a given matrix are always equal, no
matter how the matrix is shaped. Thus, we don't have to distinguish between
row and column rank of a matrix - we simply speak of the rank of a
matrix.
Last Update: 2005-Jän-25