Characteristic polynomial of $T:M_n(mathbb{F}) rightarrow M_n(mathbb{F}) , TX = AX (Ain M_n(mathbb{F}))$
up vote
6
down vote
favorite
Question - how would I proceed to find the characteristic polynomial of $T:M_n(mathbb{F}) rightarrow M_n(mathbb{F}) , TX = AX (Ain M_n(mathbb{F}))$ ?
What I've been trying:
Given the the standard base ${E_{11}, E_{12}, dots, E_{nn}}$ of $M_n(mathbb{F})$ in which ($E_{ij})_{kl} =left{begin{matrix}
1,& k=i and l=j \ 0, &otherwise
end{matrix}right.$
$T$ can be represented by the following $n^2times n^2$ matrix:
$$[T] = begin{pmatrix}
(A)_{11}I_n&(A)_{12}I_n&cdots&(A)_{1n}I_n\
(A)_{21}I_n&(A)_{22}I_n&cdots&(A)_{2n}I_n\
vdots&vdots&ddots&vdots\
(A)_{n1}I_n&(A)_{n2}I_n&cdots&(A)_{nn}I_n
end{pmatrix} $$
Now, from from here I'd like to calculate $det([T]-tI_{n^2})$, and this is the point where I got stuck.
I'd be glad for ideas on how to proceed from here, or ideas for other ways to tackle the problem.
linear-algebra matrices
add a comment |
up vote
6
down vote
favorite
Question - how would I proceed to find the characteristic polynomial of $T:M_n(mathbb{F}) rightarrow M_n(mathbb{F}) , TX = AX (Ain M_n(mathbb{F}))$ ?
What I've been trying:
Given the the standard base ${E_{11}, E_{12}, dots, E_{nn}}$ of $M_n(mathbb{F})$ in which ($E_{ij})_{kl} =left{begin{matrix}
1,& k=i and l=j \ 0, &otherwise
end{matrix}right.$
$T$ can be represented by the following $n^2times n^2$ matrix:
$$[T] = begin{pmatrix}
(A)_{11}I_n&(A)_{12}I_n&cdots&(A)_{1n}I_n\
(A)_{21}I_n&(A)_{22}I_n&cdots&(A)_{2n}I_n\
vdots&vdots&ddots&vdots\
(A)_{n1}I_n&(A)_{n2}I_n&cdots&(A)_{nn}I_n
end{pmatrix} $$
Now, from from here I'd like to calculate $det([T]-tI_{n^2})$, and this is the point where I got stuck.
I'd be glad for ideas on how to proceed from here, or ideas for other ways to tackle the problem.
linear-algebra matrices
add a comment |
up vote
6
down vote
favorite
up vote
6
down vote
favorite
Question - how would I proceed to find the characteristic polynomial of $T:M_n(mathbb{F}) rightarrow M_n(mathbb{F}) , TX = AX (Ain M_n(mathbb{F}))$ ?
What I've been trying:
Given the the standard base ${E_{11}, E_{12}, dots, E_{nn}}$ of $M_n(mathbb{F})$ in which ($E_{ij})_{kl} =left{begin{matrix}
1,& k=i and l=j \ 0, &otherwise
end{matrix}right.$
$T$ can be represented by the following $n^2times n^2$ matrix:
$$[T] = begin{pmatrix}
(A)_{11}I_n&(A)_{12}I_n&cdots&(A)_{1n}I_n\
(A)_{21}I_n&(A)_{22}I_n&cdots&(A)_{2n}I_n\
vdots&vdots&ddots&vdots\
(A)_{n1}I_n&(A)_{n2}I_n&cdots&(A)_{nn}I_n
end{pmatrix} $$
Now, from from here I'd like to calculate $det([T]-tI_{n^2})$, and this is the point where I got stuck.
I'd be glad for ideas on how to proceed from here, or ideas for other ways to tackle the problem.
linear-algebra matrices
Question - how would I proceed to find the characteristic polynomial of $T:M_n(mathbb{F}) rightarrow M_n(mathbb{F}) , TX = AX (Ain M_n(mathbb{F}))$ ?
What I've been trying:
Given the the standard base ${E_{11}, E_{12}, dots, E_{nn}}$ of $M_n(mathbb{F})$ in which ($E_{ij})_{kl} =left{begin{matrix}
1,& k=i and l=j \ 0, &otherwise
end{matrix}right.$
$T$ can be represented by the following $n^2times n^2$ matrix:
$$[T] = begin{pmatrix}
(A)_{11}I_n&(A)_{12}I_n&cdots&(A)_{1n}I_n\
(A)_{21}I_n&(A)_{22}I_n&cdots&(A)_{2n}I_n\
vdots&vdots&ddots&vdots\
(A)_{n1}I_n&(A)_{n2}I_n&cdots&(A)_{nn}I_n
end{pmatrix} $$
Now, from from here I'd like to calculate $det([T]-tI_{n^2})$, and this is the point where I got stuck.
I'd be glad for ideas on how to proceed from here, or ideas for other ways to tackle the problem.
linear-algebra matrices
linear-algebra matrices
edited Nov 19 at 10:23
red_trumpet
702218
702218
asked Apr 14 '17 at 14:15
j3M
609516
609516
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
up vote
5
down vote
accepted
You have $(AE_{i,j})_{k,l}= 0$ if $lneq j$ and $a_{ki}$ if $l=j$.
Thus, if you consider the basis $(E_{11}, E_{21}, ..., E_{n1}, E_{12}, ... , E_{n2}, ... , E_{1n}, ... , E_{nn})$ of $M_n(mathbb{F})$, then you're lead to computing the determinant of a bloc diagonal matrix of size $n^2times n^2$, whose $n$ blocks are all equal to $A-XI_n$.
This gives you that $chi_T(X)=chi_A(X)^n$.
add a comment |
up vote
1
down vote
You can view $M_n(Bbb{F})$ as the direct sum of $n$ copies of $Bbb{F}^n$, say $V_1,V_2,ldots,V_n$, where $V_i$ represents the $i$th column. So, basically, $T:bigoplus_{i=1}^nV_ito bigoplus_{i=1}^n V_i$ by sending $$(v_1,v_2,ldots,v_n)mapsto (Av_1,Av_2,ldots,Av_n).$$ So, each $V_i$ is a $T$-invariant subspace, and $T|_{V_i}:V_ito V_i$ is the same as the linear operator $A$. We can use a more general result below to prove that $chi_T(t)=big(chi_A(t)big)^n$.
Let $U_1,U_2,ldots,U_k$ be finite dimensional vector spaces and let $S_i:U_ito U_i$ be linear maps. Then, the direct sum $S=bigoplus_{i=1}^kS_i$ of the linear maps $S_1,S_2,ldots,S_k$ is the linear transformation $S:bigoplus_{i=1}^kU_ito bigoplus_{i=1}^k U_i$ such that
$$S(u_1,u_2,ldots, u_k)=(S_1u_1,S_2u_2,ldots,S_ku_k).$$
Then, the characteristic polynomial $chi_S(t)$ of $S$ is the product of the characteristic polynomials $chi_{S_i}(t)$ of each $S_i$. Id est,
$$chi_{bigoplus_{i=1}^kS_i}(t)=prod_{i=1}^kchi_{S_i}(t).$$ (A proof can be done by choosing a good basis so that the matrix of $S$ is a block matrix with zero non-diagonal blocks.)
add a comment |
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
5
down vote
accepted
You have $(AE_{i,j})_{k,l}= 0$ if $lneq j$ and $a_{ki}$ if $l=j$.
Thus, if you consider the basis $(E_{11}, E_{21}, ..., E_{n1}, E_{12}, ... , E_{n2}, ... , E_{1n}, ... , E_{nn})$ of $M_n(mathbb{F})$, then you're lead to computing the determinant of a bloc diagonal matrix of size $n^2times n^2$, whose $n$ blocks are all equal to $A-XI_n$.
This gives you that $chi_T(X)=chi_A(X)^n$.
add a comment |
up vote
5
down vote
accepted
You have $(AE_{i,j})_{k,l}= 0$ if $lneq j$ and $a_{ki}$ if $l=j$.
Thus, if you consider the basis $(E_{11}, E_{21}, ..., E_{n1}, E_{12}, ... , E_{n2}, ... , E_{1n}, ... , E_{nn})$ of $M_n(mathbb{F})$, then you're lead to computing the determinant of a bloc diagonal matrix of size $n^2times n^2$, whose $n$ blocks are all equal to $A-XI_n$.
This gives you that $chi_T(X)=chi_A(X)^n$.
add a comment |
up vote
5
down vote
accepted
up vote
5
down vote
accepted
You have $(AE_{i,j})_{k,l}= 0$ if $lneq j$ and $a_{ki}$ if $l=j$.
Thus, if you consider the basis $(E_{11}, E_{21}, ..., E_{n1}, E_{12}, ... , E_{n2}, ... , E_{1n}, ... , E_{nn})$ of $M_n(mathbb{F})$, then you're lead to computing the determinant of a bloc diagonal matrix of size $n^2times n^2$, whose $n$ blocks are all equal to $A-XI_n$.
This gives you that $chi_T(X)=chi_A(X)^n$.
You have $(AE_{i,j})_{k,l}= 0$ if $lneq j$ and $a_{ki}$ if $l=j$.
Thus, if you consider the basis $(E_{11}, E_{21}, ..., E_{n1}, E_{12}, ... , E_{n2}, ... , E_{1n}, ... , E_{nn})$ of $M_n(mathbb{F})$, then you're lead to computing the determinant of a bloc diagonal matrix of size $n^2times n^2$, whose $n$ blocks are all equal to $A-XI_n$.
This gives you that $chi_T(X)=chi_A(X)^n$.
edited Apr 14 '17 at 14:54
answered Apr 14 '17 at 14:46
Yoël
451111
451111
add a comment |
add a comment |
up vote
1
down vote
You can view $M_n(Bbb{F})$ as the direct sum of $n$ copies of $Bbb{F}^n$, say $V_1,V_2,ldots,V_n$, where $V_i$ represents the $i$th column. So, basically, $T:bigoplus_{i=1}^nV_ito bigoplus_{i=1}^n V_i$ by sending $$(v_1,v_2,ldots,v_n)mapsto (Av_1,Av_2,ldots,Av_n).$$ So, each $V_i$ is a $T$-invariant subspace, and $T|_{V_i}:V_ito V_i$ is the same as the linear operator $A$. We can use a more general result below to prove that $chi_T(t)=big(chi_A(t)big)^n$.
Let $U_1,U_2,ldots,U_k$ be finite dimensional vector spaces and let $S_i:U_ito U_i$ be linear maps. Then, the direct sum $S=bigoplus_{i=1}^kS_i$ of the linear maps $S_1,S_2,ldots,S_k$ is the linear transformation $S:bigoplus_{i=1}^kU_ito bigoplus_{i=1}^k U_i$ such that
$$S(u_1,u_2,ldots, u_k)=(S_1u_1,S_2u_2,ldots,S_ku_k).$$
Then, the characteristic polynomial $chi_S(t)$ of $S$ is the product of the characteristic polynomials $chi_{S_i}(t)$ of each $S_i$. Id est,
$$chi_{bigoplus_{i=1}^kS_i}(t)=prod_{i=1}^kchi_{S_i}(t).$$ (A proof can be done by choosing a good basis so that the matrix of $S$ is a block matrix with zero non-diagonal blocks.)
add a comment |
up vote
1
down vote
You can view $M_n(Bbb{F})$ as the direct sum of $n$ copies of $Bbb{F}^n$, say $V_1,V_2,ldots,V_n$, where $V_i$ represents the $i$th column. So, basically, $T:bigoplus_{i=1}^nV_ito bigoplus_{i=1}^n V_i$ by sending $$(v_1,v_2,ldots,v_n)mapsto (Av_1,Av_2,ldots,Av_n).$$ So, each $V_i$ is a $T$-invariant subspace, and $T|_{V_i}:V_ito V_i$ is the same as the linear operator $A$. We can use a more general result below to prove that $chi_T(t)=big(chi_A(t)big)^n$.
Let $U_1,U_2,ldots,U_k$ be finite dimensional vector spaces and let $S_i:U_ito U_i$ be linear maps. Then, the direct sum $S=bigoplus_{i=1}^kS_i$ of the linear maps $S_1,S_2,ldots,S_k$ is the linear transformation $S:bigoplus_{i=1}^kU_ito bigoplus_{i=1}^k U_i$ such that
$$S(u_1,u_2,ldots, u_k)=(S_1u_1,S_2u_2,ldots,S_ku_k).$$
Then, the characteristic polynomial $chi_S(t)$ of $S$ is the product of the characteristic polynomials $chi_{S_i}(t)$ of each $S_i$. Id est,
$$chi_{bigoplus_{i=1}^kS_i}(t)=prod_{i=1}^kchi_{S_i}(t).$$ (A proof can be done by choosing a good basis so that the matrix of $S$ is a block matrix with zero non-diagonal blocks.)
add a comment |
up vote
1
down vote
up vote
1
down vote
You can view $M_n(Bbb{F})$ as the direct sum of $n$ copies of $Bbb{F}^n$, say $V_1,V_2,ldots,V_n$, where $V_i$ represents the $i$th column. So, basically, $T:bigoplus_{i=1}^nV_ito bigoplus_{i=1}^n V_i$ by sending $$(v_1,v_2,ldots,v_n)mapsto (Av_1,Av_2,ldots,Av_n).$$ So, each $V_i$ is a $T$-invariant subspace, and $T|_{V_i}:V_ito V_i$ is the same as the linear operator $A$. We can use a more general result below to prove that $chi_T(t)=big(chi_A(t)big)^n$.
Let $U_1,U_2,ldots,U_k$ be finite dimensional vector spaces and let $S_i:U_ito U_i$ be linear maps. Then, the direct sum $S=bigoplus_{i=1}^kS_i$ of the linear maps $S_1,S_2,ldots,S_k$ is the linear transformation $S:bigoplus_{i=1}^kU_ito bigoplus_{i=1}^k U_i$ such that
$$S(u_1,u_2,ldots, u_k)=(S_1u_1,S_2u_2,ldots,S_ku_k).$$
Then, the characteristic polynomial $chi_S(t)$ of $S$ is the product of the characteristic polynomials $chi_{S_i}(t)$ of each $S_i$. Id est,
$$chi_{bigoplus_{i=1}^kS_i}(t)=prod_{i=1}^kchi_{S_i}(t).$$ (A proof can be done by choosing a good basis so that the matrix of $S$ is a block matrix with zero non-diagonal blocks.)
You can view $M_n(Bbb{F})$ as the direct sum of $n$ copies of $Bbb{F}^n$, say $V_1,V_2,ldots,V_n$, where $V_i$ represents the $i$th column. So, basically, $T:bigoplus_{i=1}^nV_ito bigoplus_{i=1}^n V_i$ by sending $$(v_1,v_2,ldots,v_n)mapsto (Av_1,Av_2,ldots,Av_n).$$ So, each $V_i$ is a $T$-invariant subspace, and $T|_{V_i}:V_ito V_i$ is the same as the linear operator $A$. We can use a more general result below to prove that $chi_T(t)=big(chi_A(t)big)^n$.
Let $U_1,U_2,ldots,U_k$ be finite dimensional vector spaces and let $S_i:U_ito U_i$ be linear maps. Then, the direct sum $S=bigoplus_{i=1}^kS_i$ of the linear maps $S_1,S_2,ldots,S_k$ is the linear transformation $S:bigoplus_{i=1}^kU_ito bigoplus_{i=1}^k U_i$ such that
$$S(u_1,u_2,ldots, u_k)=(S_1u_1,S_2u_2,ldots,S_ku_k).$$
Then, the characteristic polynomial $chi_S(t)$ of $S$ is the product of the characteristic polynomials $chi_{S_i}(t)$ of each $S_i$. Id est,
$$chi_{bigoplus_{i=1}^kS_i}(t)=prod_{i=1}^kchi_{S_i}(t).$$ (A proof can be done by choosing a good basis so that the matrix of $S$ is a block matrix with zero non-diagonal blocks.)
answered Nov 19 at 13:59
Zvi
3,845328
3,845328
add a comment |
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
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
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2233959%2fcharacteristic-polynomial-of-tm-n-mathbbf-rightarrow-m-n-mathbbf%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
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
Required, but never shown
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
Required, but never shown
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
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown