Show that if A is invertible and diagonalizable,then A^−1 is

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Homework Help Overview

The discussion revolves around the properties of invertible and diagonalizable matrices, specifically focusing on the relationship between a matrix A and its inverse A^−1. Participants are exploring the implications of A being diagonalizable and invertible, and whether these properties extend to A^−1.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the representation of a diagonalizable matrix A as A = PDP^−1 and question the implications for A^−1. There is exploration of whether the diagonal matrix D must be invertible, particularly in relation to the eigenvalues of A.

Discussion Status

The discussion is active, with participants questioning the necessity of D being invertible and examining the implications of having zero eigenvalues. There is an ongoing exploration of the definitions and properties of diagonalizable matrices and their inverses.

Contextual Notes

Participants note that A is given to be invertible, which raises questions about the eigenvalues of D and their implications for the invertibility of A.

charlies1902
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Show that if A is invertible and diagonalizable,
then A^−1 is diagonalizable. Find a 2 ×2 matrix
that is not a diagonal matrix, is not invertible, but
is diagonalizable.


Alright, I am having some trouble with the first part.
So far, I have this:
If A is diagnolizable then
A=PDP^-1 where P is the matrix who's columns are eigenvectors and D is the diagonal matrix of eigevenvalues of A.


(A)^-1=(PDP^-1)^-1
A^-1=PDP^-1

How's that?
 
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charlies1902 said:
Show that if A is invertible and diagonalizable,
then A^−1 is diagonalizable. Find a 2 ×2 matrix
that is not a diagonal matrix, is not invertible, but
is diagonalizable.Alright, I am having some trouble with the first part.
So far, I have this:
If A is diagnolizable then
A=PDP^-1 where P is the matrix who's columns are eigenvectors and D is the diagonal matrix of eigevenvalues of A.(A)^-1=(PDP^-1)^-1
A^-1=PDP^-1

How's that?

Just because D is diagonal doesn't mean D=D^(-1). And after you've fixed that, how do you know D is invertible?
 
Last edited:


Oh oops.
So
A^-1=P * D^-1 * P^-1

hmm, does D have to be invertible?
Can't you have eigen values of 0 and 2
so D looks like this:
0 0
0 2
which is not invertible?
 


charlies1902 said:
Oh oops.
So
A^-1=P * D^-1 * P^-1

hmm, does D have to be invertible?
Can't you have eigen values of 0 and 2
so D looks like this:
0 0
0 2
which is not invertible?

They told you A is invertible. Doesn't that mean D has to be invertible? Can you prove that?
 


Dick said:
They told you A is invertible. Doesn't that mean D has to be invertible? Can you prove that?

I'm confused on why you would have to prove that D is invertible and if it is always invertible.
I'm calling D the diagonal matrix who's diagonal elements are the eigenvalues of A.
 


charlies1902 said:
I'm confused on why you would have to prove that D is invertible and if it is always invertible.
I'm calling D the diagonal matrix who's diagonal elements are the eigenvalues of A.

D isn't invertible if it has a zero on the diagonal. But if it does then A has a zero eigenvalue and it's not invertible. I'm not sure whether you have to prove that or whether you can just say it. But it's not hard to prove.
 

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