diagonalizable question

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Let $V$ be a finite dimensional complex vector space. Let $T : V → V$ be a diagonalizable, linear map. For each positive integer $k$ we write $T^k = T ◦···◦T$, the $k$-fold composition of the map $T$. With this notation, we can define $p(T) := a_0 I_V + a_1T +···+ a_nT^n$, whenever $p(x) = a_0 + a_1x + ··· + a_nx^n$ is a polynomial with complex coefficients $a_0,dots,a_n$.



Question: I already showed that $p(λ)$ is an eigenvalue of $p(T)$. How can I prove that if $β$ is a basis of $V$ then $p([T])$ respect from $β$ to $β$ is diagonalizable for any polynomial $p(x)$ with complex coefficients. Deduce that $p(T)$ is diagonalizable.







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  • $T$ diagonalizable $Rightarrow$ there is a basis of eigenvectors for $T$, but each eigenvector for $T$ is an eigenvector for $p(T)$ (with the eigenvalue $p(lambda)$) $Rightarrow$ there is a basis of eigenvectors for $p(T)$ $Rightarrow$ $p(T)$ diagonalizable.
    – A.Γ.
    Aug 9 at 19:20















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Let $V$ be a finite dimensional complex vector space. Let $T : V → V$ be a diagonalizable, linear map. For each positive integer $k$ we write $T^k = T ◦···◦T$, the $k$-fold composition of the map $T$. With this notation, we can define $p(T) := a_0 I_V + a_1T +···+ a_nT^n$, whenever $p(x) = a_0 + a_1x + ··· + a_nx^n$ is a polynomial with complex coefficients $a_0,dots,a_n$.



Question: I already showed that $p(λ)$ is an eigenvalue of $p(T)$. How can I prove that if $β$ is a basis of $V$ then $p([T])$ respect from $β$ to $β$ is diagonalizable for any polynomial $p(x)$ with complex coefficients. Deduce that $p(T)$ is diagonalizable.







share|cite|improve this question






















  • $T$ diagonalizable $Rightarrow$ there is a basis of eigenvectors for $T$, but each eigenvector for $T$ is an eigenvector for $p(T)$ (with the eigenvalue $p(lambda)$) $Rightarrow$ there is a basis of eigenvectors for $p(T)$ $Rightarrow$ $p(T)$ diagonalizable.
    – A.Γ.
    Aug 9 at 19:20













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1
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1
down vote

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Let $V$ be a finite dimensional complex vector space. Let $T : V → V$ be a diagonalizable, linear map. For each positive integer $k$ we write $T^k = T ◦···◦T$, the $k$-fold composition of the map $T$. With this notation, we can define $p(T) := a_0 I_V + a_1T +···+ a_nT^n$, whenever $p(x) = a_0 + a_1x + ··· + a_nx^n$ is a polynomial with complex coefficients $a_0,dots,a_n$.



Question: I already showed that $p(λ)$ is an eigenvalue of $p(T)$. How can I prove that if $β$ is a basis of $V$ then $p([T])$ respect from $β$ to $β$ is diagonalizable for any polynomial $p(x)$ with complex coefficients. Deduce that $p(T)$ is diagonalizable.







share|cite|improve this question














Let $V$ be a finite dimensional complex vector space. Let $T : V → V$ be a diagonalizable, linear map. For each positive integer $k$ we write $T^k = T ◦···◦T$, the $k$-fold composition of the map $T$. With this notation, we can define $p(T) := a_0 I_V + a_1T +···+ a_nT^n$, whenever $p(x) = a_0 + a_1x + ··· + a_nx^n$ is a polynomial with complex coefficients $a_0,dots,a_n$.



Question: I already showed that $p(λ)$ is an eigenvalue of $p(T)$. How can I prove that if $β$ is a basis of $V$ then $p([T])$ respect from $β$ to $β$ is diagonalizable for any polynomial $p(x)$ with complex coefficients. Deduce that $p(T)$ is diagonalizable.









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edited Aug 9 at 19:01









FakeAnalyst56

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asked Aug 9 at 18:04









Zhenqing Xu

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  • $T$ diagonalizable $Rightarrow$ there is a basis of eigenvectors for $T$, but each eigenvector for $T$ is an eigenvector for $p(T)$ (with the eigenvalue $p(lambda)$) $Rightarrow$ there is a basis of eigenvectors for $p(T)$ $Rightarrow$ $p(T)$ diagonalizable.
    – A.Γ.
    Aug 9 at 19:20

















  • $T$ diagonalizable $Rightarrow$ there is a basis of eigenvectors for $T$, but each eigenvector for $T$ is an eigenvector for $p(T)$ (with the eigenvalue $p(lambda)$) $Rightarrow$ there is a basis of eigenvectors for $p(T)$ $Rightarrow$ $p(T)$ diagonalizable.
    – A.Γ.
    Aug 9 at 19:20
















$T$ diagonalizable $Rightarrow$ there is a basis of eigenvectors for $T$, but each eigenvector for $T$ is an eigenvector for $p(T)$ (with the eigenvalue $p(lambda)$) $Rightarrow$ there is a basis of eigenvectors for $p(T)$ $Rightarrow$ $p(T)$ diagonalizable.
– A.Γ.
Aug 9 at 19:20





$T$ diagonalizable $Rightarrow$ there is a basis of eigenvectors for $T$, but each eigenvector for $T$ is an eigenvector for $p(T)$ (with the eigenvalue $p(lambda)$) $Rightarrow$ there is a basis of eigenvectors for $p(T)$ $Rightarrow$ $p(T)$ diagonalizable.
– A.Γ.
Aug 9 at 19:20











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Let $A$ be the matrix $[T]_beta to beta$. With the notation $p(A) = a_0 I + a_1 A + a_2 A^2 + cdots + a_n A^n$, your question is asking you to show $p(A)$ is diagonalizable.



By assumption $A$ is diagonalizable, so it can be written as $PDP^-1$ for some invertible $P$ and diagonal $D$. Then $A^k = P D^k P^-1$ for any positive integer $k$. Do you see how this implies $p(A)$ is diagonalizable?






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    Let $A$ be the matrix $[T]_beta to beta$. With the notation $p(A) = a_0 I + a_1 A + a_2 A^2 + cdots + a_n A^n$, your question is asking you to show $p(A)$ is diagonalizable.



    By assumption $A$ is diagonalizable, so it can be written as $PDP^-1$ for some invertible $P$ and diagonal $D$. Then $A^k = P D^k P^-1$ for any positive integer $k$. Do you see how this implies $p(A)$ is diagonalizable?






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      down vote













      Let $A$ be the matrix $[T]_beta to beta$. With the notation $p(A) = a_0 I + a_1 A + a_2 A^2 + cdots + a_n A^n$, your question is asking you to show $p(A)$ is diagonalizable.



      By assumption $A$ is diagonalizable, so it can be written as $PDP^-1$ for some invertible $P$ and diagonal $D$. Then $A^k = P D^k P^-1$ for any positive integer $k$. Do you see how this implies $p(A)$ is diagonalizable?






      share|cite|improve this answer






















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        up vote
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        down vote









        Let $A$ be the matrix $[T]_beta to beta$. With the notation $p(A) = a_0 I + a_1 A + a_2 A^2 + cdots + a_n A^n$, your question is asking you to show $p(A)$ is diagonalizable.



        By assumption $A$ is diagonalizable, so it can be written as $PDP^-1$ for some invertible $P$ and diagonal $D$. Then $A^k = P D^k P^-1$ for any positive integer $k$. Do you see how this implies $p(A)$ is diagonalizable?






        share|cite|improve this answer












        Let $A$ be the matrix $[T]_beta to beta$. With the notation $p(A) = a_0 I + a_1 A + a_2 A^2 + cdots + a_n A^n$, your question is asking you to show $p(A)$ is diagonalizable.



        By assumption $A$ is diagonalizable, so it can be written as $PDP^-1$ for some invertible $P$ and diagonal $D$. Then $A^k = P D^k P^-1$ for any positive integer $k$. Do you see how this implies $p(A)$ is diagonalizable?







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Aug 9 at 18:11









        angryavian

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