Artificial intelligent assistant

Methodical way to form a basis If I have a basis $(3,1,0,0,0),(0,0,7,1,0),(0,0,0,0,1)$ for a subspace of $\mathbb{R}^{5}$ and want to extend this collection of vectors to a basis for $\mathbb{R}^{5}$ is there any methodical, or algorithmic way to do this besides logically picking two linearly independent vectors to extend the set to a basis?

The standard way is to form a matrix with these vectors as columns, which has column space equal to $\mathbb{R}^{5}$: $$\begin{bmatrix} 3&0&0&1&0&0&0&0 \\\ 1&0&0&0&1&0&0&0 \\\ 0&7&0&0&0&1&0&0 \\\ 0&1&0&0&0&0&1&0 \\\ 0&0&1&0&0&0&0&1 \end{bmatrix}$$ Now you want to follow the method to get a basis for the column space: Figure out which are the pivot columns, and use those as a basis for $\mathbb{R}^{5}$ (note that with this setup, since your original three vectors were linearly independent, they will be pivot columns and so used as the first three vectors of the basis).

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