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torquerotates
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Can a non square matrix have linearly independent columns? I can't take the determinant so I can't tell.
torquerotates said:Can a non square matrix have linearly independent columns? I can't take the determinant so I can't tell.
A non-square matrix is a matrix that does not have an equal number of rows and columns. It can have any number of rows or columns, as long as the number of rows is not equal to the number of columns.
A square matrix has the same number of rows and columns, while a non-square matrix does not. This means that a square matrix is always a rectangular shape, while a non-square matrix can have any rectangular shape.
Linear independence in a matrix refers to a set of vectors within the matrix that are not dependent on each other. This means that no vector in the set can be written as a linear combination of the other vectors in the set.
Linear independence is important in non-square matrices because it determines whether the matrix is invertible or not. If a non-square matrix has linearly independent columns, it is invertible, meaning it has a unique solution. If the columns are linearly dependent, the matrix is not invertible and does not have a unique solution.
To determine if a non-square matrix has linearly independent columns, you can use the method of Gaussian elimination and reduce the matrix to row echelon form. If there are no rows of zeros and no rows where all the entries except the last one are zero, then the columns are linearly independent. Another method is to calculate the determinant of the matrix – if it is non-zero, then the columns are linearly independent.