Proving Invertibility of a Matrix: Ax=e1

In summary, the fact that A is invertible and Ax=e1 results in the first column of the inverse of A. This can be proven by multiplying any matrix with e1 as the first column.
  • #1
Ali Asadullah
99
0
Let A be an invertible matrix.
Then Ax=e1 will give us the first column of the inverse of A.
Where e1 is the first column of the identity matrix.

How can we prove this fact??:confused:
 
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  • #2
From [itex]Ax= e_1[/itex] and the fact that A is invertible, we have [itex]A^{-1}Ax= x= A^{-1}e_1[/itex]. Now, can you convince yourself that any matrix times [itex]e_1[/itex] is the first column of the matrix? Try multiplying a few matrices times [itex]e_1[/itex] and see what happens:
What is
[tex]\begin{bmatrix}a_{11} & a_{12} \\ a_{21} & a_{22}\end{bmatrix}\begin{bmatrix}1 \\ 0\end{bmatrix}[/tex]

What is
[tex]\begin{bmatrix}a_{11} & a_{12} & a_{13}\\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33}\end{bmatrix}\begin{bmatrix}1 \\ 0 \\ 0\end{bmatrix}[/tex]
 
  • #3
OMG that was too simple thank u HallsofIvy :)
 

1. Can any matrix be invertible?

No, not all matrices are invertible. A matrix must be square (have the same number of rows and columns) and have a nonzero determinant in order to be invertible.

2. What does it mean for a matrix to be invertible?

A matrix is considered invertible if there exists another matrix, called the inverse, that when multiplied together, result in the identity matrix. In other words, the inverse "undoes" the original matrix.

3. How do you prove that a matrix is invertible?

To prove that a matrix is invertible, you can use the determinant to show that it is nonzero. You can also use elementary row operations to transform the matrix into reduced row-echelon form, and if the resulting matrix is the identity, then the original matrix is invertible.

4. Can a matrix have more than one inverse?

No, a matrix can only have one inverse. If a matrix has multiple inverses, then it is not considered invertible.

5. What happens if a matrix is not invertible?

If a matrix is not invertible, it is considered singular. This means that it does not have a unique solution when solving linear systems of equations, and it cannot be transformed back to the identity matrix. In other words, it is not possible to "undo" the effects of the original matrix.

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