Linear algebra rank and dimensions

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Homework Help Overview

The discussion revolves around proving a relationship involving the rank of a matrix and the dimension of its null space, specifically the equation Rank A + dim Nul A^T = m, where A is a matrix in R^(mxn).

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationship between the rank of a matrix and its transpose, questioning how the rank-nullity theorem applies to A^T. There is discussion about the definitions of row rank and column rank, and whether these concepts can be used to support the proof.

Discussion Status

Some participants have offered hints and clarifications regarding the rank-nullity theorem and its application to the transpose of the matrix. There is acknowledgment of the relationship between the ranks of A and A^T, but no consensus has been reached on how to proceed with the proof.

Contextual Notes

One participant notes that their textbook does not mention the transpose in the context of rank, which may limit their understanding of the problem. Additionally, there is a directive to ignore the concept of row space, which may affect the discussion.

SpiffyEh
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Homework Statement


Prove Rank A + dim Nul A^T = m where A is in R^(mxn)


Homework Equations





The Attempt at a Solution



I honestly can't figure out where to go with this. I know that Rank A + dim Nul A = n, but I don't know if there is a relationship between the two.
 
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Hint: If rank A = x, what does rank AT equal?
 
Does rank A^T = x as well?
 
Yes.
 
I don't see how that relationship works out, i saw it in a theorem online but i wasn't able to find it in my book. Also I don't see where to go from there
 
Does your book talk about "row rank" and "column rank" and then say we just call it "rank" because they are always equal? Anyway, now just use your rank-nullity theorem on AT. (ie, if A is mxn, then AT is nxm, etc)
 
Yeah it has a section about rank but it never mentions the transpose. So, If i use the rank-nullity theorem on A^T could I just transpose the rank and the nullity and make it equal to m instead of n? Then since the transpose of the rank is equal to it not being transposed just switch it to that? Would that be enough to prove the concept?
 
Yes. Recall that the column rank of A is the dimension of the column space of A, and the row rank is the dimension of the row space of A. These are equal. The proof of this is longer than this sentence, so I refer you to other references for that.

Now the row space of AT is the column space of A, right? Because the rows of AT are the columns of A. So the rank of A is the rank of AT.
 
ok ok thank you that makes sense. We were told to ignore the whole concept of row space so I didn't even think of using that
 

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