Diagonal, Jordan Normal and And Inverses

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Homework Help Overview

The discussion revolves around properties of matrices, specifically diagonal matrices, invertible matrices, and matrices in Jordan normal form. Participants are exploring the relationships between these concepts and their implications for matrix invertibility and diagonalizability.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are questioning the conditions under which diagonal matrices are invertible and whether invertible matrices are necessarily diagonalizable. There is also curiosity about the invertibility of matrices in Jordan normal form.

Discussion Status

Some participants have provided insights into the conditions for invertibility of diagonal matrices and the requirements for diagonalizability. However, there remains uncertainty regarding the invertibility of Jordan normal form matrices, indicating ongoing exploration of this topic.

Contextual Notes

Participants express confusion about the straightforwardness of the answers and are seeking clarification on the relationships between characteristic polynomials, determinants, and matrix properties.

heshbon
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1) Is a diagonal matrix always invertable?
2) Is an Invertable matrix always Diagonalizable?
3) Is a matrix in jordan normal form always invertable

The answers are prob straight foward but I am confused.
 
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Jordan Normal, Diagonal and Inverses

Homework Statement



1) Is a diagonal matrix always invertable?
2) Is an Invertable matrix always Diagonalizable?
3) Is a matrix in jordan normal form always invertable

The answers are prob straight foward but I am confused.

Homework Equations





The Attempt at a Solution

 
I've had a thought about this, I guess what I am looking for is some sort of relation between the characteristic polinomial and the determinant of a the matrix.
 
1) No. Let d_{i} be the diagonal entries of a diagonal matrix The inverse (if it exists) consists of the values \frac {1}{d_{i}} along the diagonal. Therefore, all d_{i}'s must be nonzero for the inverse to exist.

2) No. If an nxn matrix is diagonalizable, it must have n linearly independent eigenvectors. A = \left(\begin{array}{cc}1&0\\1&1\end{array}\right) is invertibile but not diagonalizable.

3) I don't know. :rolleyes:
 


Is
\begin{bmatrix}1 & 0 & 0 \\ 0 & 1 & 0\\ 0 & 0 & 0\end{bmatrix}
invertible?
 
Thanks greatly.

That clears it all up.
 

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