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Let $$ A=\begin{pmatrix}3&1&4&1&5&9\\2&6&5&3&5&8\\9&7&9&3&2&3\\8&4&6&2&6&4\\3&3&8&3&2&7\end{pmatrix}. $$ Do the columns of $A$ form a basis of $\mathbb{R}^5$?

I'm really lost in class. Please show steps and answers that I can learn. Please help... Thank you

This is the rref.

$$ A=\begin{pmatrix}1&0&0&0&0&-23/11\\0&1&0&0&0&4/3\\0&0&1&0&0&106/33\\0&0&0&1&0&-214/33\\0&0&0&0&1&50/33\end{pmatrix}. $$

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Uhh, digits of $\pi$. – user1551 Mar 25 '13 at 22:15
Have you tried row reducing this matrix? What do you get? – Jim Mar 25 '13 at 22:20
Yes, I did rref and got – Walter Mar 25 '13 at 22:58
So the RREF has five linearly independent rows, and in turn the row rank of $A$ is $5$. Yet the row rank is always equal to the column rank. Hence $A$ has five linearly independent columns. – user1551 Mar 25 '13 at 23:36

$A$ has six columns, but $\dim\mathbb{R}^5=5$. So the columns of $A$ certainly do not form a basis of $\mathbb{R}^5$. So I assume you meant to ask whether the columns of $A$ span $\mathbb{R}^5$. This is equivalent to showing that the rank of $A$ is $5$. So, you can use elementary row/column operations to transform $A$ to a row/column reduced echelon form, and check how many nonzero rows/columns are there.

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It has $6$ columns, each of dimension $5$. A space has dimension $5$ (by definition) if and only if it has a basis with $5$ basis vectors. A basis just corresponds to a coordinate system (which is probably oblique and the lengths are not necessarily equally measured on the axes).

There's a basic theorem of vector spaces, that if any basis has $n$ elements, then all bases have $n$ elements. In consequence, no $6$ vectors can form a basis for the $5$ dimensional space.

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So since it has 5 rows and that matches the exponent of R, the columns of A form a basis of R^5? – Walter Mar 25 '13 at 22:57
I thought the exponent of R represented how many components each vector has... – Walter Mar 25 '13 at 23:04
There are six columns, so, no, they don't form a basis. However, any $5$ of them do form a basis. The culomns form a basis iff the elimination can give you the identity matrix. – Berci Mar 25 '13 at 23:05

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