Every nxn matrix can be written as a linear combination of matrices in GL(n,F)

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Every nxn matrix can indeed be expressed as a linear combination of matrices in GL(n,F), which consists of all invertible nxn matrices over the field F. The discussion highlights the importance of the linear independence of columns and rows in these matrices. A potential approach involves exploring the joint bases of the n-dimensional column and row spaces to establish a connection to M_{nxn}(F), which has a dimension of n^2. The original poster ultimately resolves their confusion regarding the proof. This topic emphasizes the relationship between matrix invertibility and linear combinations in the context of linear algebra.
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Homework Statement


Prove: Every nxn matrix can be written as a linear combination of matrices in GL(n,F).


Homework Equations


GL(n,F) = the set of all nxn invertible matrices over the field F together with the operation of matrix multiplication.


The Attempt at a Solution


I know all matrices in GL(n,F) are invertible and hence have linearly independent columns and rows. I was thinking perhaps there is something about the joint bases for the n-dimensional column and row spaces, respectively, that could provide a basis for M_{nxn}(F), which has dimension of n^2. But I'm not really sure if that works.
 
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Okay, I figured it out. Nevermind (although once a post gets buried two screens back, it's not likely to be answered anyway, even if it has zero replies...).
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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