Confused about col/rows of matrices

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When performing row-reduced echelon form (RREF) on a matrix, the placement of vectors in columns versus rows depends on the context of the linear transformation being represented. An m x n matrix signifies a linear map from k^n to k^m, where the rows correspond to linear function components of the map and the columns represent vectors in the target space k^m. Specifically, the rows indicate the output of the map for each linear function, while the columns reflect the input vectors from the source space. Understanding this distinction is crucial for correctly interpreting the structure of the matrix and the associated linear transformations. Properly organizing vectors in either rows or columns ensures accurate representation of the subspace relationships.
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Can someone tell me (when RREFing a matrix) when do we put the vectors of a subspace in columns of a matrix and when in rows?

Example from my notes:
Here, my prof put the vectors in columns:
25ge2gy.png


and here, he put the vectors in rows:
8wgm8o.png


Thanks!
 
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an mxn matrix represents a linear map from k^n to k^m. the rows represent linear components functions of the map, i.e. linear maps from k^n to k, and there are m of them. the columns represent vectors in the target space k^m, and there are n of them. they are the values of the map on the n standard basis vectors of the source space.
 
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