prove A is similar to a diagonal matrix $operatornamediagx_1,x_2,cdots,x_n $
Clash Royale CLAN TAG#URR8PPP
up vote
0
down vote
favorite
If the $ntimes n$ square matrix $A$ satisfy $operatornamerank(A+3E)+operatornamerank(A-3E)=n$, $E$ is the identity matrix , prove A is similar to a diagonal matrix $operatornamediagx_1,x_2,cdots,x_n $ where $x_i=3$ or $-3$ for $i=1,2,cdots,n$.
I have been told to get this by discussing the geometric multiplicity of $lambda=3$ and $lambda=-3$ . But I am not familiar with the properties of geometric multiplicity. Any more elementary method to get the point?
linear-algebra
add a comment |Â
up vote
0
down vote
favorite
If the $ntimes n$ square matrix $A$ satisfy $operatornamerank(A+3E)+operatornamerank(A-3E)=n$, $E$ is the identity matrix , prove A is similar to a diagonal matrix $operatornamediagx_1,x_2,cdots,x_n $ where $x_i=3$ or $-3$ for $i=1,2,cdots,n$.
I have been told to get this by discussing the geometric multiplicity of $lambda=3$ and $lambda=-3$ . But I am not familiar with the properties of geometric multiplicity. Any more elementary method to get the point?
linear-algebra
1
What is $E$? The identity matrix?
â mathcounterexamples.net
Aug 30 at 9:26
Yep, I'll edit it.
â Jaqen Chou
Aug 30 at 9:28
The geometric multiplicity of $lambda$ and $A$ is the dimension of $ker(A-lambda E)$. It is the amount of linear independet eigenvectors you may find.
â Babelfish
Aug 30 at 9:34
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
If the $ntimes n$ square matrix $A$ satisfy $operatornamerank(A+3E)+operatornamerank(A-3E)=n$, $E$ is the identity matrix , prove A is similar to a diagonal matrix $operatornamediagx_1,x_2,cdots,x_n $ where $x_i=3$ or $-3$ for $i=1,2,cdots,n$.
I have been told to get this by discussing the geometric multiplicity of $lambda=3$ and $lambda=-3$ . But I am not familiar with the properties of geometric multiplicity. Any more elementary method to get the point?
linear-algebra
If the $ntimes n$ square matrix $A$ satisfy $operatornamerank(A+3E)+operatornamerank(A-3E)=n$, $E$ is the identity matrix , prove A is similar to a diagonal matrix $operatornamediagx_1,x_2,cdots,x_n $ where $x_i=3$ or $-3$ for $i=1,2,cdots,n$.
I have been told to get this by discussing the geometric multiplicity of $lambda=3$ and $lambda=-3$ . But I am not familiar with the properties of geometric multiplicity. Any more elementary method to get the point?
linear-algebra
linear-algebra
edited Aug 30 at 9:38
Bernard
112k635102
112k635102
asked Aug 30 at 9:23
Jaqen Chou
3499
3499
1
What is $E$? The identity matrix?
â mathcounterexamples.net
Aug 30 at 9:26
Yep, I'll edit it.
â Jaqen Chou
Aug 30 at 9:28
The geometric multiplicity of $lambda$ and $A$ is the dimension of $ker(A-lambda E)$. It is the amount of linear independet eigenvectors you may find.
â Babelfish
Aug 30 at 9:34
add a comment |Â
1
What is $E$? The identity matrix?
â mathcounterexamples.net
Aug 30 at 9:26
Yep, I'll edit it.
â Jaqen Chou
Aug 30 at 9:28
The geometric multiplicity of $lambda$ and $A$ is the dimension of $ker(A-lambda E)$. It is the amount of linear independet eigenvectors you may find.
â Babelfish
Aug 30 at 9:34
1
1
What is $E$? The identity matrix?
â mathcounterexamples.net
Aug 30 at 9:26
What is $E$? The identity matrix?
â mathcounterexamples.net
Aug 30 at 9:26
Yep, I'll edit it.
â Jaqen Chou
Aug 30 at 9:28
Yep, I'll edit it.
â Jaqen Chou
Aug 30 at 9:28
The geometric multiplicity of $lambda$ and $A$ is the dimension of $ker(A-lambda E)$. It is the amount of linear independet eigenvectors you may find.
â Babelfish
Aug 30 at 9:34
The geometric multiplicity of $lambda$ and $A$ is the dimension of $ker(A-lambda E)$. It is the amount of linear independet eigenvectors you may find.
â Babelfish
Aug 30 at 9:34
add a comment |Â
3 Answers
3
active
oldest
votes
up vote
1
down vote
From $operatornamerank(A+3E)+operatornamerank(A-3E)=n$ and the nullity-rank theorem we get
$n= dim (ker(A+3E))+dim (ker(A-3E))$. Hence, if $ mathbb K= mathbb R$ or$= mathbb C$:
$mathbb K^n= ker(A+3E) oplus ker(A-3E).$
Can you proceed ?
add a comment |Â
up vote
0
down vote
Hint: If $A$ is similar to a diagonal matrix $diag(3,dots 3, -3, dots, -3)$, then there are vectors $b_1,dots, b_k,c_1,dots,c_l$ which form a basis such that $A b_i = 3b_i$ and $Ac_i = -3c_i$. Those vectors are eigenvectors. So you have to assert that there are enough of those vectors.
add a comment |Â
up vote
0
down vote
Since $DeclareMathOperatorKerKerDeclareMathOperatordimdim dim(Ker(A+3E))=n-operatornamerank(A+3E)$ and $dim(Ker(A-3E))=$ $n-operatornamerank(A-3E)$, we have
$$dim (Ker(A-3E))+dim(Ker(A+3E))=n.$$
The subspaces $Ker(A-3E)$ and $Ker(A+3E)$ intersect only at $0$ and their dimensions add up to $n$. So we can choose a basis $v_1,ldots, v_n$ for $mathbbR^n$ such that $v_1,ldots, v_k$ is a basis for $Ker(A-3E)$ and $v_k+1,ldots, v_n$ is a basis for $Ker(A+3E)$. Then the matrix of $A$ in this basis is a diagonal matrix with diagonal entries equal to $3$ or $-3$.
add a comment |Â
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
From $operatornamerank(A+3E)+operatornamerank(A-3E)=n$ and the nullity-rank theorem we get
$n= dim (ker(A+3E))+dim (ker(A-3E))$. Hence, if $ mathbb K= mathbb R$ or$= mathbb C$:
$mathbb K^n= ker(A+3E) oplus ker(A-3E).$
Can you proceed ?
add a comment |Â
up vote
1
down vote
From $operatornamerank(A+3E)+operatornamerank(A-3E)=n$ and the nullity-rank theorem we get
$n= dim (ker(A+3E))+dim (ker(A-3E))$. Hence, if $ mathbb K= mathbb R$ or$= mathbb C$:
$mathbb K^n= ker(A+3E) oplus ker(A-3E).$
Can you proceed ?
add a comment |Â
up vote
1
down vote
up vote
1
down vote
From $operatornamerank(A+3E)+operatornamerank(A-3E)=n$ and the nullity-rank theorem we get
$n= dim (ker(A+3E))+dim (ker(A-3E))$. Hence, if $ mathbb K= mathbb R$ or$= mathbb C$:
$mathbb K^n= ker(A+3E) oplus ker(A-3E).$
Can you proceed ?
From $operatornamerank(A+3E)+operatornamerank(A-3E)=n$ and the nullity-rank theorem we get
$n= dim (ker(A+3E))+dim (ker(A-3E))$. Hence, if $ mathbb K= mathbb R$ or$= mathbb C$:
$mathbb K^n= ker(A+3E) oplus ker(A-3E).$
Can you proceed ?
edited Aug 30 at 9:50
Bernard
112k635102
112k635102
answered Aug 30 at 9:38
Fred
38.2k1238
38.2k1238
add a comment |Â
add a comment |Â
up vote
0
down vote
Hint: If $A$ is similar to a diagonal matrix $diag(3,dots 3, -3, dots, -3)$, then there are vectors $b_1,dots, b_k,c_1,dots,c_l$ which form a basis such that $A b_i = 3b_i$ and $Ac_i = -3c_i$. Those vectors are eigenvectors. So you have to assert that there are enough of those vectors.
add a comment |Â
up vote
0
down vote
Hint: If $A$ is similar to a diagonal matrix $diag(3,dots 3, -3, dots, -3)$, then there are vectors $b_1,dots, b_k,c_1,dots,c_l$ which form a basis such that $A b_i = 3b_i$ and $Ac_i = -3c_i$. Those vectors are eigenvectors. So you have to assert that there are enough of those vectors.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Hint: If $A$ is similar to a diagonal matrix $diag(3,dots 3, -3, dots, -3)$, then there are vectors $b_1,dots, b_k,c_1,dots,c_l$ which form a basis such that $A b_i = 3b_i$ and $Ac_i = -3c_i$. Those vectors are eigenvectors. So you have to assert that there are enough of those vectors.
Hint: If $A$ is similar to a diagonal matrix $diag(3,dots 3, -3, dots, -3)$, then there are vectors $b_1,dots, b_k,c_1,dots,c_l$ which form a basis such that $A b_i = 3b_i$ and $Ac_i = -3c_i$. Those vectors are eigenvectors. So you have to assert that there are enough of those vectors.
answered Aug 30 at 9:37
Babelfish
1,004115
1,004115
add a comment |Â
add a comment |Â
up vote
0
down vote
Since $DeclareMathOperatorKerKerDeclareMathOperatordimdim dim(Ker(A+3E))=n-operatornamerank(A+3E)$ and $dim(Ker(A-3E))=$ $n-operatornamerank(A-3E)$, we have
$$dim (Ker(A-3E))+dim(Ker(A+3E))=n.$$
The subspaces $Ker(A-3E)$ and $Ker(A+3E)$ intersect only at $0$ and their dimensions add up to $n$. So we can choose a basis $v_1,ldots, v_n$ for $mathbbR^n$ such that $v_1,ldots, v_k$ is a basis for $Ker(A-3E)$ and $v_k+1,ldots, v_n$ is a basis for $Ker(A+3E)$. Then the matrix of $A$ in this basis is a diagonal matrix with diagonal entries equal to $3$ or $-3$.
add a comment |Â
up vote
0
down vote
Since $DeclareMathOperatorKerKerDeclareMathOperatordimdim dim(Ker(A+3E))=n-operatornamerank(A+3E)$ and $dim(Ker(A-3E))=$ $n-operatornamerank(A-3E)$, we have
$$dim (Ker(A-3E))+dim(Ker(A+3E))=n.$$
The subspaces $Ker(A-3E)$ and $Ker(A+3E)$ intersect only at $0$ and their dimensions add up to $n$. So we can choose a basis $v_1,ldots, v_n$ for $mathbbR^n$ such that $v_1,ldots, v_k$ is a basis for $Ker(A-3E)$ and $v_k+1,ldots, v_n$ is a basis for $Ker(A+3E)$. Then the matrix of $A$ in this basis is a diagonal matrix with diagonal entries equal to $3$ or $-3$.
add a comment |Â
up vote
0
down vote
up vote
0
down vote
Since $DeclareMathOperatorKerKerDeclareMathOperatordimdim dim(Ker(A+3E))=n-operatornamerank(A+3E)$ and $dim(Ker(A-3E))=$ $n-operatornamerank(A-3E)$, we have
$$dim (Ker(A-3E))+dim(Ker(A+3E))=n.$$
The subspaces $Ker(A-3E)$ and $Ker(A+3E)$ intersect only at $0$ and their dimensions add up to $n$. So we can choose a basis $v_1,ldots, v_n$ for $mathbbR^n$ such that $v_1,ldots, v_k$ is a basis for $Ker(A-3E)$ and $v_k+1,ldots, v_n$ is a basis for $Ker(A+3E)$. Then the matrix of $A$ in this basis is a diagonal matrix with diagonal entries equal to $3$ or $-3$.
Since $DeclareMathOperatorKerKerDeclareMathOperatordimdim dim(Ker(A+3E))=n-operatornamerank(A+3E)$ and $dim(Ker(A-3E))=$ $n-operatornamerank(A-3E)$, we have
$$dim (Ker(A-3E))+dim(Ker(A+3E))=n.$$
The subspaces $Ker(A-3E)$ and $Ker(A+3E)$ intersect only at $0$ and their dimensions add up to $n$. So we can choose a basis $v_1,ldots, v_n$ for $mathbbR^n$ such that $v_1,ldots, v_k$ is a basis for $Ker(A-3E)$ and $v_k+1,ldots, v_n$ is a basis for $Ker(A+3E)$. Then the matrix of $A$ in this basis is a diagonal matrix with diagonal entries equal to $3$ or $-3$.
edited Aug 30 at 9:48
Bernard
112k635102
112k635102
answered Aug 30 at 9:37
Marco
1,59417
1,59417
add a comment |Â
add a comment |Â
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2899310%2fprove-a-is-similar-to-a-diagonal-matrix-operatornamediag-x-1-x-2-cdots-x-n%23new-answer', 'question_page');
);
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
1
What is $E$? The identity matrix?
â mathcounterexamples.net
Aug 30 at 9:26
Yep, I'll edit it.
â Jaqen Chou
Aug 30 at 9:28
The geometric multiplicity of $lambda$ and $A$ is the dimension of $ker(A-lambda E)$. It is the amount of linear independet eigenvectors you may find.
â Babelfish
Aug 30 at 9:34