Is the Product of Two Diagonalizable Matrices Always Diagonalizable?

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In summary, when A and B are both invertible and diagonalizable matrices from the same order and they are interchangeable, AB will also be a diagonalizable matrix.
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Yankel
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Hello

I have a little question

if A and B are both invertible and diagonalizable matrices (from the same order), is A*B a diagonalizable matrix ? why ?

I have not got a clue...

thanks !
 
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  • #2
Yankel said:
if A and B are both invertible and diagonalizable matrices (from the same order), is A*B a diagonalizable matrix ? why ?

It is not true. Verify that $A=\begin{bmatrix}1&{\;\;1}\\{2}&{-1}\end{bmatrix}$ and $ B=\begin{bmatrix}{1}&{2}\\{2}&{1}\end{bmatrix}$ are invertible and diagonalzable matrices on $\mathbb{R}$, however $AB=\begin{bmatrix}{3}&{3}\\{0}&{3}\end{bmatrix}$ it is not diagonalizable.
 
  • #3
Yankel said:
Hello

I have a little question

if A and B are both invertible and diagonalizable matrices (from the same order), is A*B a diagonalizable matrix ? why ?

I have not got a clue...

thanks !

Not always. But when A,B are interchangable, i.e., AB=BA, then AB IS diagonalizable since then A and B are simultaneously diagonalizable, i.e., we can find the same invertible matrix
S such that $A=S^{-1} D_1 S, B=S^{-1} D_2 S$, where $D_1,D_2$ are both diagonal matrices. Thus we have $AB=S^{-1}D S$ with $D=D_1D_2$ a diagonal matrix.
 

FAQ: Is the Product of Two Diagonalizable Matrices Always Diagonalizable?

Is A*B always a diagonalizable matrix?

No, A*B is not always a diagonalizable matrix. It depends on the properties of matrices A and B, and the nature of their multiplication.

What is a diagonalizable matrix?

A diagonalizable matrix is a square matrix that can be transformed into a diagonal matrix through a similarity transformation. In other words, it can be expressed as a linear combination of its eigenvalues and eigenvectors.

How do you determine if a matrix is diagonalizable?

A matrix is diagonalizable if it has a complete set of eigenvectors, meaning that there are as many linearly independent eigenvectors as the dimension of the matrix. This can be determined by calculating the eigenvalues and eigenvectors of the matrix.

What are the benefits of having a diagonalizable matrix?

Having a diagonalizable matrix can greatly simplify certain calculations and transformations. It also has applications in solving systems of linear equations and in studying complex systems.

Can a non-square matrix be diagonalizable?

No, a non-square matrix cannot be diagonalizable. Diagonalizable matrices must be square matrices in order to have a complete set of eigenvectors.

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