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

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The discussion centers on proving that for a matrix A in Mn(F), the rank of A equals the minimum k such that A can be expressed as the sum of k rank-1 matrices, denoted as A1, A2, ..., Ak. The rank-nullity theorem is considered but not directly applicable. An example with three 3x3 matrices demonstrates that A can be decomposed into distinct rank-1 matrices, each contributing to the overall rank. The challenge lies in establishing that this k is indeed the smallest possible value.

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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.
 

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