caljuice
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So an example was the matrix:<br />
A = \left(\begin{array}{cccc}<br />
a&a+b\\<br />
b&0\\<br />
\end{array}<br />
\right)<br /> is a subspace of M2x2.
and is the linear combination <br /> a*\left(\begin{array}{cccc}<br /> 1&1\\<br /> 0&0<br /> \end{array}<br /> \right)<br /> + <br /> b*\left(\begin{array}{cccc}<br /> 0&1\\<br /> 1&0<br /> \end{array}<br /> \right)<br />
Meaning it has dimension 2. But I'm not sure how it comes to this conclusion.
Dimension means # of vectors in a basis. However, I don't know how to translate this matrix addition in terms of vectors. Is the dimension 2 because there are 2 matrices being added? Or because we can break it down into the linear combination of indepedent vectors v1 =(1,0) v2=(0,1)? Or is it completely something else? thanks.
and is the linear combination <br /> a*\left(\begin{array}{cccc}<br /> 1&1\\<br /> 0&0<br /> \end{array}<br /> \right)<br /> + <br /> b*\left(\begin{array}{cccc}<br /> 0&1\\<br /> 1&0<br /> \end{array}<br /> \right)<br />
Meaning it has dimension 2. But I'm not sure how it comes to this conclusion.
Dimension means # of vectors in a basis. However, I don't know how to translate this matrix addition in terms of vectors. Is the dimension 2 because there are 2 matrices being added? Or because we can break it down into the linear combination of indepedent vectors v1 =(1,0) v2=(0,1)? Or is it completely something else? thanks.