Finding basis of a column space/row space

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Row and column operations can be used to reduce a matrix, but they serve different purposes for finding row space and column space. The column space is defined by the vectors formed by the columns, while the row space is defined by the vectors formed by the rows. Taking the transpose of a matrix allows for the interchange of rows and columns, but the column space and row space are not generally the same. In non-square matrices, the dimensions of the row space and column space differ significantly. For square matrices, while the dimensions of both spaces are the same, they remain distinct spaces.
ashina14
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I was wondering whether we can use row as well as column operations to reduce a matrix to find column space? Or do we only have to perform row operations to reduce matrix in case of row space and column operations to find column space?
 
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You could, of course, take the transpose of a matrix, so that "columns" become rows and vice versa, but the "column space" of a matrix (the space spanned by its columns as vectors) is NOT, in general, the same as the "row space" of a matrix (the space spanned by it rows). If the matrix is not square, the will have completely different dimensions. If the matrix is square, the row space and column space will have the same dimension and so be "isomorphic" but not, in general, the "same" spaces.
 
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