Proving Properties of Non-Square Matrices

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A non-square matrix cannot possess both a left and a right inverse due to the fundamental properties of matrix dimensions. If a non-square matrix has either a left or right inverse, it will have infinitely many inverses, stemming from its structure. Specifically, when the number of rows (m) is less than the number of columns (n), a non-square matrix can have a right inverse if and only if its rank equals the number of rows (m). Constructing a non-square matrix and attempting to find its inverses illustrates these properties effectively. Understanding these concepts is crucial for deeper insights into linear algebra and matrix theory.
mathguy34
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I need help proving the following:

1 A non-square matrix cannot have both a left and a right inverse
2 If a non-square matrix has a left(right) inverse, it has infinitely many.
3 If m<n, a non-square matrix has a right inverse if and only if rank A=m
 
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mathguy34 said:
I need help proving the following:

1 A non-square matrix cannot have both a left and a right inverse
2 If a non-square matrix has a left(right) inverse, it has infinitely many.
3 If m<n, a non-square matrix has a right inverse if and only if rank A=m

construct a non square matrix and try to find its inverse and see what happens.
 
Okay

Okay, but how does that show point 1 and 3
 
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