- #1
Ami
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Homework Statement
Let A be a square matrix.
If B is a square matrix satisfying AB=I
Homework Equations
Proof that B=A^-1
mjsd said:you can show this by showing that the inverse is unique.. ie. if AB=AC=I then B=C
HallsofIvy said:I imagine that the point of this exercise is to show that the inverse is unique. You know that AB= I. Can you use that to prove that BA= I?
Suppose AC= CA= I. Can you prove that B= C (hint, if AB= I = AC, multiply on both sides, on the left, by C.)
Thanks.radou said:Actually, the problem is already solved for you. Just re-read the replies.
Ami said:Thanks.
But can you show me the solution more clearly ,please?
I still confused about it.
Ami said:Thanks so much to all of for replying
The main problem is to show that A is invertible
than I can show That [B=A^-1] easily
Ami said:I'm sorry.I need to slove this problem without using the determinants.
My attempt at the solution is:_
First: If A is invertible:-
By multiplying by A^-1 on both sides on the left:_
(A^-1)(AB)=(A^-1)I
IB=A^-1
B=A^-1
Second: I need to show now, that A is invertible, to complete the solution.
This is the part which I'm confused about.
The proof of B=A^-1 for invertible matrices is a mathematical demonstration that shows the relationship between two matrices, B and A^-1, where A is an invertible matrix.
Proving B=A^-1 for invertible matrices is important because it confirms that the inverse of an invertible matrix is unique. This is a fundamental property that allows us to solve equations involving matrices and perform other operations.
The steps involved in proving B=A^-1 for invertible matrices include:
No, B=A^-1 cannot be proved for non-invertible matrices because the inverse of a non-invertible matrix does not exist. In order for B=A^-1 to hold, both B and A^-1 must be invertible matrices.
Yes, the proof of B=A^-1 for invertible matrices has many real-world applications, particularly in fields such as engineering, physics, and computer science. It allows us to solve systems of equations involving matrices, which is useful in solving complex problems related to these fields.