Characteristic polynomial of a linear operator in matrix space
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For $A in M_{ntimes n}(F)=V$, we define a linear operator $T$ such that $T(X)=AX$ for $Xin V$.
I need to show that the characteristic polynomial of $T$ is $(f_A(t))^n$, where $f_A(t)$ is the characteristic polynomial of $A$.
My latest approach has been to define $W$, the $T$-cyclic subspace of $V$ generated by some $X$. Then,
$beta = {X,,T(X),,T^2(X),,dots,,T^{k-1}(X)}$
is an ordered basis for $W$, where $k=dim(W)$. From here, I'm thinking I need to extend the basis to $n$ so that it's a basis for $V$ and then show somehow that, since $T^n(X)=A^nX$, my desired result falls out.
Am I on the right track? Any pushes in the right direction that could help me put the pieces together? Or is there a totally different way to solve this that has eluded me?
linear-algebra matrices vector-spaces linear-transformations
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up vote
1
down vote
favorite
For $A in M_{ntimes n}(F)=V$, we define a linear operator $T$ such that $T(X)=AX$ for $Xin V$.
I need to show that the characteristic polynomial of $T$ is $(f_A(t))^n$, where $f_A(t)$ is the characteristic polynomial of $A$.
My latest approach has been to define $W$, the $T$-cyclic subspace of $V$ generated by some $X$. Then,
$beta = {X,,T(X),,T^2(X),,dots,,T^{k-1}(X)}$
is an ordered basis for $W$, where $k=dim(W)$. From here, I'm thinking I need to extend the basis to $n$ so that it's a basis for $V$ and then show somehow that, since $T^n(X)=A^nX$, my desired result falls out.
Am I on the right track? Any pushes in the right direction that could help me put the pieces together? Or is there a totally different way to solve this that has eluded me?
linear-algebra matrices vector-spaces linear-transformations
Another route I have found to investigate is to start by using the fact that the characteristic polynomial of any $Ain M_{ntimes n}(F)$ is equal to $(-1)^n(a^nt^n + a_{n-1}t^{n-1} + dots + a_1t + a_0$).
– justadampaul
10 hours ago
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up vote
1
down vote
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up vote
1
down vote
favorite
For $A in M_{ntimes n}(F)=V$, we define a linear operator $T$ such that $T(X)=AX$ for $Xin V$.
I need to show that the characteristic polynomial of $T$ is $(f_A(t))^n$, where $f_A(t)$ is the characteristic polynomial of $A$.
My latest approach has been to define $W$, the $T$-cyclic subspace of $V$ generated by some $X$. Then,
$beta = {X,,T(X),,T^2(X),,dots,,T^{k-1}(X)}$
is an ordered basis for $W$, where $k=dim(W)$. From here, I'm thinking I need to extend the basis to $n$ so that it's a basis for $V$ and then show somehow that, since $T^n(X)=A^nX$, my desired result falls out.
Am I on the right track? Any pushes in the right direction that could help me put the pieces together? Or is there a totally different way to solve this that has eluded me?
linear-algebra matrices vector-spaces linear-transformations
For $A in M_{ntimes n}(F)=V$, we define a linear operator $T$ such that $T(X)=AX$ for $Xin V$.
I need to show that the characteristic polynomial of $T$ is $(f_A(t))^n$, where $f_A(t)$ is the characteristic polynomial of $A$.
My latest approach has been to define $W$, the $T$-cyclic subspace of $V$ generated by some $X$. Then,
$beta = {X,,T(X),,T^2(X),,dots,,T^{k-1}(X)}$
is an ordered basis for $W$, where $k=dim(W)$. From here, I'm thinking I need to extend the basis to $n$ so that it's a basis for $V$ and then show somehow that, since $T^n(X)=A^nX$, my desired result falls out.
Am I on the right track? Any pushes in the right direction that could help me put the pieces together? Or is there a totally different way to solve this that has eluded me?
linear-algebra matrices vector-spaces linear-transformations
linear-algebra matrices vector-spaces linear-transformations
edited 11 hours ago
asked 11 hours ago
justadampaul
567
567
Another route I have found to investigate is to start by using the fact that the characteristic polynomial of any $Ain M_{ntimes n}(F)$ is equal to $(-1)^n(a^nt^n + a_{n-1}t^{n-1} + dots + a_1t + a_0$).
– justadampaul
10 hours ago
add a comment |
Another route I have found to investigate is to start by using the fact that the characteristic polynomial of any $Ain M_{ntimes n}(F)$ is equal to $(-1)^n(a^nt^n + a_{n-1}t^{n-1} + dots + a_1t + a_0$).
– justadampaul
10 hours ago
Another route I have found to investigate is to start by using the fact that the characteristic polynomial of any $Ain M_{ntimes n}(F)$ is equal to $(-1)^n(a^nt^n + a_{n-1}t^{n-1} + dots + a_1t + a_0$).
– justadampaul
10 hours ago
Another route I have found to investigate is to start by using the fact that the characteristic polynomial of any $Ain M_{ntimes n}(F)$ is equal to $(-1)^n(a^nt^n + a_{n-1}t^{n-1} + dots + a_1t + a_0$).
– justadampaul
10 hours ago
add a comment |
1 Answer
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Extending the ordered basis so that $k=n$, we have
$beta = {X, AX, A^2X,...,A^{n-1}X}$
as a basis for $V$. Now we simply express $T$ as $[T]_{beta}$, the matrix form of the operator, and take the characteristic polynomial of the result. Note that:
$T(X)=AX$
$T(AX)=A^2X$
$dots$
$T(A^{n-1}X)=A^nX$
and thus
$[T]_{beta}=AI_n$
which has the characteristic polynomial given by $(f_A(t))^n$, as needed.
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
Extending the ordered basis so that $k=n$, we have
$beta = {X, AX, A^2X,...,A^{n-1}X}$
as a basis for $V$. Now we simply express $T$ as $[T]_{beta}$, the matrix form of the operator, and take the characteristic polynomial of the result. Note that:
$T(X)=AX$
$T(AX)=A^2X$
$dots$
$T(A^{n-1}X)=A^nX$
and thus
$[T]_{beta}=AI_n$
which has the characteristic polynomial given by $(f_A(t))^n$, as needed.
add a comment |
up vote
1
down vote
Extending the ordered basis so that $k=n$, we have
$beta = {X, AX, A^2X,...,A^{n-1}X}$
as a basis for $V$. Now we simply express $T$ as $[T]_{beta}$, the matrix form of the operator, and take the characteristic polynomial of the result. Note that:
$T(X)=AX$
$T(AX)=A^2X$
$dots$
$T(A^{n-1}X)=A^nX$
and thus
$[T]_{beta}=AI_n$
which has the characteristic polynomial given by $(f_A(t))^n$, as needed.
add a comment |
up vote
1
down vote
up vote
1
down vote
Extending the ordered basis so that $k=n$, we have
$beta = {X, AX, A^2X,...,A^{n-1}X}$
as a basis for $V$. Now we simply express $T$ as $[T]_{beta}$, the matrix form of the operator, and take the characteristic polynomial of the result. Note that:
$T(X)=AX$
$T(AX)=A^2X$
$dots$
$T(A^{n-1}X)=A^nX$
and thus
$[T]_{beta}=AI_n$
which has the characteristic polynomial given by $(f_A(t))^n$, as needed.
Extending the ordered basis so that $k=n$, we have
$beta = {X, AX, A^2X,...,A^{n-1}X}$
as a basis for $V$. Now we simply express $T$ as $[T]_{beta}$, the matrix form of the operator, and take the characteristic polynomial of the result. Note that:
$T(X)=AX$
$T(AX)=A^2X$
$dots$
$T(A^{n-1}X)=A^nX$
and thus
$[T]_{beta}=AI_n$
which has the characteristic polynomial given by $(f_A(t))^n$, as needed.
answered 14 mins ago
justadampaul
567
567
add a comment |
add a comment |
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Another route I have found to investigate is to start by using the fact that the characteristic polynomial of any $Ain M_{ntimes n}(F)$ is equal to $(-1)^n(a^nt^n + a_{n-1}t^{n-1} + dots + a_1t + a_0$).
– justadampaul
10 hours ago