If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable

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If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.
Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?
linear-algebra matrices diagonalization
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up vote
2
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If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.
Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?
linear-algebra matrices diagonalization
You can use the fact that if an $nÃn$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
â Anik Bhowmick
Aug 21 at 8:08
@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
â DonAntonio
Aug 21 at 8:10
I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
â Anik Bhowmick
Aug 21 at 8:11
1
@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
â DonAntonio
Aug 21 at 8:14
Thanks @DonAntonio for clearing my doubt !!
â Anik Bhowmick
Aug 21 at 8:15
 |Â
show 1 more comment
up vote
2
down vote
favorite
up vote
2
down vote
favorite
If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.
Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?
linear-algebra matrices diagonalization
If $A in mathbb C^n times n$, $A^2 neq 0$ and $A^3=0$, check if $A$ is diagonalizable.
Now we have $0 lt mboxrank (A) lt n$, what is the next step. Is this about eigenvalues?
linear-algebra matrices diagonalization
edited Aug 21 at 8:18
Rodrigo de Azevedo
12.6k41751
12.6k41751
asked Aug 21 at 8:03
LOIS
2058
2058
You can use the fact that if an $nÃn$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
â Anik Bhowmick
Aug 21 at 8:08
@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
â DonAntonio
Aug 21 at 8:10
I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
â Anik Bhowmick
Aug 21 at 8:11
1
@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
â DonAntonio
Aug 21 at 8:14
Thanks @DonAntonio for clearing my doubt !!
â Anik Bhowmick
Aug 21 at 8:15
 |Â
show 1 more comment
You can use the fact that if an $nÃn$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
â Anik Bhowmick
Aug 21 at 8:08
@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
â DonAntonio
Aug 21 at 8:10
I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
â Anik Bhowmick
Aug 21 at 8:11
1
@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
â DonAntonio
Aug 21 at 8:14
Thanks @DonAntonio for clearing my doubt !!
â Anik Bhowmick
Aug 21 at 8:15
You can use the fact that if an $nÃn$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
â Anik Bhowmick
Aug 21 at 8:08
You can use the fact that if an $nÃn$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
â Anik Bhowmick
Aug 21 at 8:08
@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
â DonAntonio
Aug 21 at 8:10
@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
â DonAntonio
Aug 21 at 8:10
I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
â Anik Bhowmick
Aug 21 at 8:11
I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
â Anik Bhowmick
Aug 21 at 8:11
1
1
@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
â DonAntonio
Aug 21 at 8:14
@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
â DonAntonio
Aug 21 at 8:14
Thanks @DonAntonio for clearing my doubt !!
â Anik Bhowmick
Aug 21 at 8:15
Thanks @DonAntonio for clearing my doubt !!
â Anik Bhowmick
Aug 21 at 8:15
 |Â
show 1 more comment
4 Answers
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3
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Guide:
The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.
Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.
Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.
add a comment |Â
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1
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$A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.
add a comment |Â
up vote
0
down vote
Yes, it is about eigenvalues.
If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.
Now, what can you tell about A eigenvalues ?
Hint, if $lambda$ is eigenvalue:
$$exists x, A^3x=lambda^3 x$$
add a comment |Â
up vote
0
down vote
As other people said, you can see that the eigenvalues are zero.
To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?
add a comment |Â
4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
3
down vote
accepted
Guide:
The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.
Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.
Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.
add a comment |Â
up vote
3
down vote
accepted
Guide:
The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.
Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.
Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.
add a comment |Â
up vote
3
down vote
accepted
up vote
3
down vote
accepted
Guide:
The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.
Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.
Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.
Guide:
The eigenvalues are all zero. This matrix has a special name, it is know as a nilpotent matrix.
Find all eigenvalues of $A$, start from $Ax=lambda x$, try to solve for $lambda$, perhaps by multiplying $A$.
Now suppose $A$ is diagonalizable, $A=VDV^-1$, observe what is $A$.
answered Aug 21 at 8:08
Siong Thye Goh
80.2k1453100
80.2k1453100
add a comment |Â
add a comment |Â
up vote
1
down vote
$A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.
add a comment |Â
up vote
1
down vote
$A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.
add a comment |Â
up vote
1
down vote
up vote
1
down vote
$A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.
$A$ is nilpotent, hence $A$ has only one eigenvalue: $ lambda=0$. Suppose that $A$ is diagonalizable, then there is a basis $z_1,...,z_n$ of $ mathbb C^n$ such that for each $z_j$ we have $Az_j=0$. It follows that $A^2z_j=0$ for $j=1,2,...,n$, hence $A^2=0$ , a contradiction.
answered Aug 21 at 8:46
Fred
38.2k1238
38.2k1238
add a comment |Â
add a comment |Â
up vote
0
down vote
Yes, it is about eigenvalues.
If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.
Now, what can you tell about A eigenvalues ?
Hint, if $lambda$ is eigenvalue:
$$exists x, A^3x=lambda^3 x$$
add a comment |Â
up vote
0
down vote
Yes, it is about eigenvalues.
If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.
Now, what can you tell about A eigenvalues ?
Hint, if $lambda$ is eigenvalue:
$$exists x, A^3x=lambda^3 x$$
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Yes, it is about eigenvalues.
If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.
Now, what can you tell about A eigenvalues ?
Hint, if $lambda$ is eigenvalue:
$$exists x, A^3x=lambda^3 x$$
Yes, it is about eigenvalues.
If A is diagonalizable, the diagonal matrix have the same eigenvalues than A.
Now, what can you tell about A eigenvalues ?
Hint, if $lambda$ is eigenvalue:
$$exists x, A^3x=lambda^3 x$$
answered Aug 21 at 8:09
F.Carette
4288
4288
add a comment |Â
add a comment |Â
up vote
0
down vote
As other people said, you can see that the eigenvalues are zero.
To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?
add a comment |Â
up vote
0
down vote
As other people said, you can see that the eigenvalues are zero.
To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?
add a comment |Â
up vote
0
down vote
up vote
0
down vote
As other people said, you can see that the eigenvalues are zero.
To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?
As other people said, you can see that the eigenvalues are zero.
To check the diagonalizable part, remember that the matrix is diagonalizable if and only if the minimal polynomial can be written as a product of first order terms. In your case there is only one eigenvalue and $A^2neq 0$, so the minimal polynomial and the characteristic polynomial must be equal. Do you see what comes next?
answered Aug 21 at 8:35
MelaniesWoesAgain
12
12
add a comment |Â
add a comment |Â
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You can use the fact that if an $nÃn$ square matrix has distinct $n$ eigenvalues, then the matrix will be diagonalizable.
â Anik Bhowmick
Aug 21 at 8:08
@AnikBhowmick I can't see how that can help: a nilpotent matrix only has one single eigenvalue: zero
â DonAntonio
Aug 21 at 8:10
I think nilpotent matrices are not diagonalizable, are they ?? @DonAntonio I'm confused.
â Anik Bhowmick
Aug 21 at 8:11
1
@AnikBhowmick Almost correct: any non-zero nilpotent matrix is non-diagonalizable, or what is the same: the only nilpotent matrix which is diagonalizable is the zero matrix. This solves at once the OP's problem, btw.
â DonAntonio
Aug 21 at 8:14
Thanks @DonAntonio for clearing my doubt !!
â Anik Bhowmick
Aug 21 at 8:15