Undergrad Existence and Uniqueness of Inverses

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The discussion centers on the conditions for the existence and uniqueness of solutions to the equation Ax = b. It states that Ax = b has at least one solution for each b if the columns of A span Rm, which leads to the existence of a right inverse C when m ≤ n. Uniqueness is established when Ax = b has at most one solution if the columns are linearly independent, allowing for a left inverse B when m ≥ n. Participants express confusion over the implications of linear dependence and the existence of inverses, particularly in relation to specific matrix dimensions. The conversation highlights the need for clarity on how these mathematical properties interrelate.
jolly_math
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Existence: Ax = b has at least 1 solution x for every b if and only if the columns span Rm. I don't understand why then A has a right inverse C such that AC = I, and why this is only possible if m≤n.

Uniqueness: Ax = b has at most 1 solution x for every b if and only if the columns are linearly independent. I don't understand why then A has a n x m left inverse B such that BA = I, and why this is only possible if m≥n.

Could anyone explain the logic behind this? Thank you.
 
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Let's start with uniqueness. Suppose A has two columns that are linearly dependent. Can you find x that's not equal to 0 with Ax=0? Hint: it only has two nonzero elements
 
Office_Shredder said:
Let's start with uniqueness. Suppose A has two columns that are linearly dependent. Can you find x that's not equal to 0 with Ax=0? Hint: it only has two nonzero elements
No. A would be a column vector, and only x=0 would work. Why does this lead to the left inverse B such that BA = I, and why it is only possible if m≥n?

Thank you.
 
jolly_math said:
No. A would be a column vector

It's not. You might have misread my question, give it another look :)
 
I'm not sure what the answer is, could you explain the reasoning? Thank you.
 
Can you write out a 2x2 matrix which has two columns that are linearly dependent?
 

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