Eigenvalue of a Polynomial [duplicate]












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  • How to prove “eigenvalues of polynomial of matrix $A$ = polynomial of eigenvalues of matrix $A$ ”

    2 answers




Let $A: mathbb C^4 to mathbb C^4$ be a linear operator and let $f(x)$ be a polynomial with complex coefficents. If $c$ is an eigenvalue for $f(A)$, does there exists a eigenvalue $a$ of $A$ such that $f(a) = c$?



Please, explain why this is true or false.










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marked as duplicate by Arnaud D., Mostafa Ayaz, amWhy linear-algebra
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Dec 14 '18 at 20:21


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    Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
    – José Carlos Santos
    Nov 26 '18 at 19:45










  • What have you done so far? What is the condition for $c$ to be an eigenvalue of $f(A)$?
    – SZN
    Nov 26 '18 at 19:47










  • Hint: Express $A$ in Jordan normal form and then compute the diagonal elements of $f(A)$.
    – Connor Harris
    Nov 26 '18 at 20:03
















1















This question already has an answer here:




  • How to prove “eigenvalues of polynomial of matrix $A$ = polynomial of eigenvalues of matrix $A$ ”

    2 answers




Let $A: mathbb C^4 to mathbb C^4$ be a linear operator and let $f(x)$ be a polynomial with complex coefficents. If $c$ is an eigenvalue for $f(A)$, does there exists a eigenvalue $a$ of $A$ such that $f(a) = c$?



Please, explain why this is true or false.










share|cite|improve this question













marked as duplicate by Arnaud D., Mostafa Ayaz, amWhy linear-algebra
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Dec 14 '18 at 20:21


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  • 1




    Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
    – José Carlos Santos
    Nov 26 '18 at 19:45










  • What have you done so far? What is the condition for $c$ to be an eigenvalue of $f(A)$?
    – SZN
    Nov 26 '18 at 19:47










  • Hint: Express $A$ in Jordan normal form and then compute the diagonal elements of $f(A)$.
    – Connor Harris
    Nov 26 '18 at 20:03














1












1








1


1






This question already has an answer here:




  • How to prove “eigenvalues of polynomial of matrix $A$ = polynomial of eigenvalues of matrix $A$ ”

    2 answers




Let $A: mathbb C^4 to mathbb C^4$ be a linear operator and let $f(x)$ be a polynomial with complex coefficents. If $c$ is an eigenvalue for $f(A)$, does there exists a eigenvalue $a$ of $A$ such that $f(a) = c$?



Please, explain why this is true or false.










share|cite|improve this question














This question already has an answer here:




  • How to prove “eigenvalues of polynomial of matrix $A$ = polynomial of eigenvalues of matrix $A$ ”

    2 answers




Let $A: mathbb C^4 to mathbb C^4$ be a linear operator and let $f(x)$ be a polynomial with complex coefficents. If $c$ is an eigenvalue for $f(A)$, does there exists a eigenvalue $a$ of $A$ such that $f(a) = c$?



Please, explain why this is true or false.





This question already has an answer here:




  • How to prove “eigenvalues of polynomial of matrix $A$ = polynomial of eigenvalues of matrix $A$ ”

    2 answers








linear-algebra eigenvalues-eigenvectors






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asked Nov 26 '18 at 19:42









LinearGuy

1437




1437




marked as duplicate by Arnaud D., Mostafa Ayaz, amWhy linear-algebra
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Dec 14 '18 at 20:21


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marked as duplicate by Arnaud D., Mostafa Ayaz, amWhy linear-algebra
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Dec 14 '18 at 20:21


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.










  • 1




    Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
    – José Carlos Santos
    Nov 26 '18 at 19:45










  • What have you done so far? What is the condition for $c$ to be an eigenvalue of $f(A)$?
    – SZN
    Nov 26 '18 at 19:47










  • Hint: Express $A$ in Jordan normal form and then compute the diagonal elements of $f(A)$.
    – Connor Harris
    Nov 26 '18 at 20:03














  • 1




    Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
    – José Carlos Santos
    Nov 26 '18 at 19:45










  • What have you done so far? What is the condition for $c$ to be an eigenvalue of $f(A)$?
    – SZN
    Nov 26 '18 at 19:47










  • Hint: Express $A$ in Jordan normal form and then compute the diagonal elements of $f(A)$.
    – Connor Harris
    Nov 26 '18 at 20:03








1




1




Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
Nov 26 '18 at 19:45




Welcome to MSE. Your question is phrased as an isolated problem, without any further information or context. This does not match many users' quality standards, so it may attract downvotes, or be put on hold. To prevent that, please edit the question. This will help you recognise and resolve the issues. Concretely: please provide context, and include your work and thoughts on the problem. These changes can help in formulating more appropriate answers.
– José Carlos Santos
Nov 26 '18 at 19:45












What have you done so far? What is the condition for $c$ to be an eigenvalue of $f(A)$?
– SZN
Nov 26 '18 at 19:47




What have you done so far? What is the condition for $c$ to be an eigenvalue of $f(A)$?
– SZN
Nov 26 '18 at 19:47












Hint: Express $A$ in Jordan normal form and then compute the diagonal elements of $f(A)$.
– Connor Harris
Nov 26 '18 at 20:03




Hint: Express $A$ in Jordan normal form and then compute the diagonal elements of $f(A)$.
– Connor Harris
Nov 26 '18 at 20:03










1 Answer
1






active

oldest

votes


















3














The statement is true. One proof is as follows: let $f(z) - c = (z-z_1)cdots(z-z_d)$ be a factorization into linear factors. Each $z_i$ satisfies $f(z_i) = c$. If $f(A)$ has $c$ as an eigenvector, then $f(A) - cI$ is not invertible. Applying our above factorization, this means that the matrix product
$$
(A - z_1 I) cdots (A - z_d I)
$$

fails to be invertible. Thus, $(A - z_i I)$ is non-invertible for some $i$. That is, $z_i$ must be an eigenvector of $A$.






share|cite|improve this answer




























    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    3














    The statement is true. One proof is as follows: let $f(z) - c = (z-z_1)cdots(z-z_d)$ be a factorization into linear factors. Each $z_i$ satisfies $f(z_i) = c$. If $f(A)$ has $c$ as an eigenvector, then $f(A) - cI$ is not invertible. Applying our above factorization, this means that the matrix product
    $$
    (A - z_1 I) cdots (A - z_d I)
    $$

    fails to be invertible. Thus, $(A - z_i I)$ is non-invertible for some $i$. That is, $z_i$ must be an eigenvector of $A$.






    share|cite|improve this answer


























      3














      The statement is true. One proof is as follows: let $f(z) - c = (z-z_1)cdots(z-z_d)$ be a factorization into linear factors. Each $z_i$ satisfies $f(z_i) = c$. If $f(A)$ has $c$ as an eigenvector, then $f(A) - cI$ is not invertible. Applying our above factorization, this means that the matrix product
      $$
      (A - z_1 I) cdots (A - z_d I)
      $$

      fails to be invertible. Thus, $(A - z_i I)$ is non-invertible for some $i$. That is, $z_i$ must be an eigenvector of $A$.






      share|cite|improve this answer
























        3












        3








        3






        The statement is true. One proof is as follows: let $f(z) - c = (z-z_1)cdots(z-z_d)$ be a factorization into linear factors. Each $z_i$ satisfies $f(z_i) = c$. If $f(A)$ has $c$ as an eigenvector, then $f(A) - cI$ is not invertible. Applying our above factorization, this means that the matrix product
        $$
        (A - z_1 I) cdots (A - z_d I)
        $$

        fails to be invertible. Thus, $(A - z_i I)$ is non-invertible for some $i$. That is, $z_i$ must be an eigenvector of $A$.






        share|cite|improve this answer












        The statement is true. One proof is as follows: let $f(z) - c = (z-z_1)cdots(z-z_d)$ be a factorization into linear factors. Each $z_i$ satisfies $f(z_i) = c$. If $f(A)$ has $c$ as an eigenvector, then $f(A) - cI$ is not invertible. Applying our above factorization, this means that the matrix product
        $$
        (A - z_1 I) cdots (A - z_d I)
        $$

        fails to be invertible. Thus, $(A - z_i I)$ is non-invertible for some $i$. That is, $z_i$ must be an eigenvector of $A$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 26 '18 at 19:58









        Omnomnomnom

        126k788176




        126k788176















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