What is the real characteristic equation? [duplicate]












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  • $|A-lambda I|$ and $|lambda I-A|$

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My book says that you form the character equation as
$begin{vmatrix}
lambda I - A
end{vmatrix}$
. However I see occasionally on stack exchange and other resources that define the character equation as $begin{vmatrix}A - lambda Iend{vmatrix}$. Why does this appear to be such a trivial matter? Here are some examples below where I have found the latter being used.



Geometric multiplicity of repeated Eigenvalues



https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors (under "Eigenvalues and the characteristic polynomial"










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marked as duplicate by amWhy linear-algebra
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Dec 11 '18 at 1:21


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.























    0












    $begingroup$



    This question already has an answer here:




    • $|A-lambda I|$ and $|lambda I-A|$

      1 answer




    My book says that you form the character equation as
    $begin{vmatrix}
    lambda I - A
    end{vmatrix}$
    . However I see occasionally on stack exchange and other resources that define the character equation as $begin{vmatrix}A - lambda Iend{vmatrix}$. Why does this appear to be such a trivial matter? Here are some examples below where I have found the latter being used.



    Geometric multiplicity of repeated Eigenvalues



    https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors (under "Eigenvalues and the characteristic polynomial"










    share|cite|improve this question









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    Dec 11 '18 at 1:21


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      0












      0








      0





      $begingroup$



      This question already has an answer here:




      • $|A-lambda I|$ and $|lambda I-A|$

        1 answer




      My book says that you form the character equation as
      $begin{vmatrix}
      lambda I - A
      end{vmatrix}$
      . However I see occasionally on stack exchange and other resources that define the character equation as $begin{vmatrix}A - lambda Iend{vmatrix}$. Why does this appear to be such a trivial matter? Here are some examples below where I have found the latter being used.



      Geometric multiplicity of repeated Eigenvalues



      https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors (under "Eigenvalues and the characteristic polynomial"










      share|cite|improve this question









      $endgroup$





      This question already has an answer here:




      • $|A-lambda I|$ and $|lambda I-A|$

        1 answer




      My book says that you form the character equation as
      $begin{vmatrix}
      lambda I - A
      end{vmatrix}$
      . However I see occasionally on stack exchange and other resources that define the character equation as $begin{vmatrix}A - lambda Iend{vmatrix}$. Why does this appear to be such a trivial matter? Here are some examples below where I have found the latter being used.



      Geometric multiplicity of repeated Eigenvalues



      https://en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors (under "Eigenvalues and the characteristic polynomial"





      This question already has an answer here:




      • $|A-lambda I|$ and $|lambda I-A|$

        1 answer








      linear-algebra eigenvalues-eigenvectors






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      asked Dec 11 '18 at 1:15









      Evan KimEvan Kim

      3658




      3658




      marked as duplicate by amWhy linear-algebra
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      Dec 11 '18 at 1:21


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      marked as duplicate by amWhy linear-algebra
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          The two only differ by a factor of $(-1)^n$, so it's not a big deal. In my opinion, the better convention is $det (lambda I - A)$, because that guarantees that the characteristic polynomial is always monic (has leading coefficient $1$). But it is a convention; both conventions are basically fine.






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            1 Answer
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            active

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            1 Answer
            1






            active

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            active

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            active

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            0












            $begingroup$

            The two only differ by a factor of $(-1)^n$, so it's not a big deal. In my opinion, the better convention is $det (lambda I - A)$, because that guarantees that the characteristic polynomial is always monic (has leading coefficient $1$). But it is a convention; both conventions are basically fine.






            share|cite|improve this answer









            $endgroup$


















              0












              $begingroup$

              The two only differ by a factor of $(-1)^n$, so it's not a big deal. In my opinion, the better convention is $det (lambda I - A)$, because that guarantees that the characteristic polynomial is always monic (has leading coefficient $1$). But it is a convention; both conventions are basically fine.






              share|cite|improve this answer









              $endgroup$
















                0












                0








                0





                $begingroup$

                The two only differ by a factor of $(-1)^n$, so it's not a big deal. In my opinion, the better convention is $det (lambda I - A)$, because that guarantees that the characteristic polynomial is always monic (has leading coefficient $1$). But it is a convention; both conventions are basically fine.






                share|cite|improve this answer









                $endgroup$



                The two only differ by a factor of $(-1)^n$, so it's not a big deal. In my opinion, the better convention is $det (lambda I - A)$, because that guarantees that the characteristic polynomial is always monic (has leading coefficient $1$). But it is a convention; both conventions are basically fine.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 11 '18 at 1:18









                Qiaochu YuanQiaochu Yuan

                279k32590935




                279k32590935















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