Proving Linear System Ax=b Consistent iff Rank A = m

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The discussion centers on proving that the linear system Ax=b is consistent for all column vectors b if and only if the rank of matrix A is equal to m. A system is defined as consistent if it has at least one solution, which implies that b must lie within the column space of A. Participants express confusion about the implications of consistency for all vectors b and the relationship between the rank of A and the column space. It is clarified that for Ax=b to be consistent for every b, the column space of A must span the entire space R^m. Understanding these concepts is crucial for grasping the conditions under which the system remains consistent.
eyehategod
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let A be a mxn matrix.
prove that the system of linear equations Ax=b is consistnet for all column vectors b if and only if the rank of A is m.

I have no idea how to start, can anyone helo me out?
 
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what does it mean if the matrix equation is consistent for all vectors b?
 
i guess my problem is that i don't quite understand when it says "consistent for all column vectors b."
 
also it would mean that b is in the column space of A.
 
eyehategod said:
also it would mean that b is in the column space of A.

yes but any b?
 
Last edited:
eyehategod said:
i guess my problem is that i don't quite understand when it says "consistent for all column vectors b."

A system of linear equations is consistent if it has a solution. Of course, this solution need not be unique.
 
radou said:
A system of linear equations is consistent if it has a solution. Of course, this solution need not be unique.
A matrix equation, Ax= b, is "consistent" if it has at least one solution. "Ax= b is consistent for all b" means the equation Ax= b is consistent no matter what vector b is.

The OP said earlier, "also it would mean that b is in the column space of A." Okay. And if b is to be any member of A, what must the column space be?
 

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