Rank A Equal to Min k: Matrix in Mn(F) Proof

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If A is a matrix in Mn(F), show that rank(A) = min(k: A = A1 + ... + Ak, rank(Ai) = 1, Ai in Mn(F) for every i between 1 and k.
 
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Sounds like a homework problem. Have you worked on it at all? What lines of attack have you come up with, and where'd you get stuck? What sort of theory might be applicable to the problem?
 
Well I was thinking on the lines of rank-nullity theorem but I didn't see how that would apply here. I was also thinking of assuming each A_i was a matrix of entirely zero except for one row (or column), of which has only one entry of 1...e.g.

|0 0 0 0|
|0 0 0 0|
|1 0 0 0|
|0 0 0 0|

Each A_i would have to be distinct. I tried an example using three 3x3 matrices and got:

A = A_1 + A_2 + A_3 = I =

|1 0 0|
|0 0 0| +
|0 0 0|

|0 0 0|
|0 1 0| +
|0 0 0|

|0 0 0|
|0 0 0|
|0 0 1|

All matrices have rank 1 (I believe) and the matrix A would thus have rank 3.

How to show that rank(A) = the smallest possible k is tripping me up though.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...

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