Guessing the eigenvectors knowing the eigenvalues of a 3x3 matrix Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Finding the eigenvalues of a given Markov matrixFind eigenvalues and eigenvectors of this matrixeigenvector equivalence for subspace of matrix?Finding eigenvectors of a 3x3 matrixfinding eigenvector from 3x3 matrixFinding eigenvectors of a 3x3 matrix 2Find missing Eigenvalues and check invertabilityEigenvalues and -vectors of product matrixEigenvalues and Eigenvectors in ModelsMatrix with distinct eigenvectors corresponding to eigenvalues.

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Guessing the eigenvectors knowing the eigenvalues of a 3x3 matrix



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Finding the eigenvalues of a given Markov matrixFind eigenvalues and eigenvectors of this matrixeigenvector equivalence for subspace of matrix?Finding eigenvectors of a 3x3 matrixfinding eigenvector from 3x3 matrixFinding eigenvectors of a 3x3 matrix 2Find missing Eigenvalues and check invertabilityEigenvalues and -vectors of product matrixEigenvalues and Eigenvectors in ModelsMatrix with distinct eigenvectors corresponding to eigenvalues.










0












$begingroup$


So I'm given a matrix $A$



$$A=beginpmatrix0.4 & 0.3& 0.3\ 0.3 & 0.5 & 0.2 \ 0.3& 0.2 & 0.5 endpmatrix$$



Find the eigenvector corresponding to the eigenvalue $lambda_1=1$ then proceed to find the remaining eigenvalues using a built in command in MatLab



So far I've found the eigenvector for $lambda_1=1$ which is $v_1=beginpmatrix1\1\1endpmatrix$ and after i've used the eig command I found the remaining eigenvalues to be $lambda_2=0.3,lambda_3=0.1$ now it wants me to literary "guess" the corresponding eigenvectors.And this is where i'm stuck. I have read lots of guides and stuff about how to find eigenvectors by inspection but that was for 2x2 matrices and for 3x3 matrices they just mentioned that they need a 3rd fact which is a bit more complicated. Besides I can't see any obvious eigenvectors.....










share|cite|improve this question









$endgroup$







  • 1




    $begingroup$
    Where does it say "guess"? eig will give you both eigenvalues and eigenvectors.
    $endgroup$
    – Robert Israel
    Apr 8 at 19:50











  • $begingroup$
    @RobertIsrael In my problem sheet. (Use "eig" in matlab to find the remaining eigenvalues). From what the command returns, guess the corresponding eigenvectors then verify them (the verifying part is not an issue) but the part that it says "guess" got me pretty confused
    $endgroup$
    – Sami Shafi
    Apr 8 at 19:55










  • $begingroup$
    hmm maybe I've misunderstood the problem? As you said you'll get both eigenvectors and values if you use [v,b] = eig maybe it's referring to guess which one of the eigenvalues is for which eigenvectors as in you get both of them so you just somehow "see" which of them is for which?
    $endgroup$
    – Sami Shafi
    Apr 8 at 20:00











  • $begingroup$
    This is helpful emathhelp.net/calculators/linear-algebra/…
    $endgroup$
    – amitava
    Apr 8 at 20:55















0












$begingroup$


So I'm given a matrix $A$



$$A=beginpmatrix0.4 & 0.3& 0.3\ 0.3 & 0.5 & 0.2 \ 0.3& 0.2 & 0.5 endpmatrix$$



Find the eigenvector corresponding to the eigenvalue $lambda_1=1$ then proceed to find the remaining eigenvalues using a built in command in MatLab



So far I've found the eigenvector for $lambda_1=1$ which is $v_1=beginpmatrix1\1\1endpmatrix$ and after i've used the eig command I found the remaining eigenvalues to be $lambda_2=0.3,lambda_3=0.1$ now it wants me to literary "guess" the corresponding eigenvectors.And this is where i'm stuck. I have read lots of guides and stuff about how to find eigenvectors by inspection but that was for 2x2 matrices and for 3x3 matrices they just mentioned that they need a 3rd fact which is a bit more complicated. Besides I can't see any obvious eigenvectors.....










share|cite|improve this question









$endgroup$







  • 1




    $begingroup$
    Where does it say "guess"? eig will give you both eigenvalues and eigenvectors.
    $endgroup$
    – Robert Israel
    Apr 8 at 19:50











  • $begingroup$
    @RobertIsrael In my problem sheet. (Use "eig" in matlab to find the remaining eigenvalues). From what the command returns, guess the corresponding eigenvectors then verify them (the verifying part is not an issue) but the part that it says "guess" got me pretty confused
    $endgroup$
    – Sami Shafi
    Apr 8 at 19:55










  • $begingroup$
    hmm maybe I've misunderstood the problem? As you said you'll get both eigenvectors and values if you use [v,b] = eig maybe it's referring to guess which one of the eigenvalues is for which eigenvectors as in you get both of them so you just somehow "see" which of them is for which?
    $endgroup$
    – Sami Shafi
    Apr 8 at 20:00











  • $begingroup$
    This is helpful emathhelp.net/calculators/linear-algebra/…
    $endgroup$
    – amitava
    Apr 8 at 20:55













0












0








0





$begingroup$


So I'm given a matrix $A$



$$A=beginpmatrix0.4 & 0.3& 0.3\ 0.3 & 0.5 & 0.2 \ 0.3& 0.2 & 0.5 endpmatrix$$



Find the eigenvector corresponding to the eigenvalue $lambda_1=1$ then proceed to find the remaining eigenvalues using a built in command in MatLab



So far I've found the eigenvector for $lambda_1=1$ which is $v_1=beginpmatrix1\1\1endpmatrix$ and after i've used the eig command I found the remaining eigenvalues to be $lambda_2=0.3,lambda_3=0.1$ now it wants me to literary "guess" the corresponding eigenvectors.And this is where i'm stuck. I have read lots of guides and stuff about how to find eigenvectors by inspection but that was for 2x2 matrices and for 3x3 matrices they just mentioned that they need a 3rd fact which is a bit more complicated. Besides I can't see any obvious eigenvectors.....










share|cite|improve this question









$endgroup$




So I'm given a matrix $A$



$$A=beginpmatrix0.4 & 0.3& 0.3\ 0.3 & 0.5 & 0.2 \ 0.3& 0.2 & 0.5 endpmatrix$$



Find the eigenvector corresponding to the eigenvalue $lambda_1=1$ then proceed to find the remaining eigenvalues using a built in command in MatLab



So far I've found the eigenvector for $lambda_1=1$ which is $v_1=beginpmatrix1\1\1endpmatrix$ and after i've used the eig command I found the remaining eigenvalues to be $lambda_2=0.3,lambda_3=0.1$ now it wants me to literary "guess" the corresponding eigenvectors.And this is where i'm stuck. I have read lots of guides and stuff about how to find eigenvectors by inspection but that was for 2x2 matrices and for 3x3 matrices they just mentioned that they need a 3rd fact which is a bit more complicated. Besides I can't see any obvious eigenvectors.....







linear-algebra eigenvalues-eigenvectors






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Apr 8 at 19:44









Sami ShafiSami Shafi

447




447







  • 1




    $begingroup$
    Where does it say "guess"? eig will give you both eigenvalues and eigenvectors.
    $endgroup$
    – Robert Israel
    Apr 8 at 19:50











  • $begingroup$
    @RobertIsrael In my problem sheet. (Use "eig" in matlab to find the remaining eigenvalues). From what the command returns, guess the corresponding eigenvectors then verify them (the verifying part is not an issue) but the part that it says "guess" got me pretty confused
    $endgroup$
    – Sami Shafi
    Apr 8 at 19:55










  • $begingroup$
    hmm maybe I've misunderstood the problem? As you said you'll get both eigenvectors and values if you use [v,b] = eig maybe it's referring to guess which one of the eigenvalues is for which eigenvectors as in you get both of them so you just somehow "see" which of them is for which?
    $endgroup$
    – Sami Shafi
    Apr 8 at 20:00











  • $begingroup$
    This is helpful emathhelp.net/calculators/linear-algebra/…
    $endgroup$
    – amitava
    Apr 8 at 20:55












  • 1




    $begingroup$
    Where does it say "guess"? eig will give you both eigenvalues and eigenvectors.
    $endgroup$
    – Robert Israel
    Apr 8 at 19:50











  • $begingroup$
    @RobertIsrael In my problem sheet. (Use "eig" in matlab to find the remaining eigenvalues). From what the command returns, guess the corresponding eigenvectors then verify them (the verifying part is not an issue) but the part that it says "guess" got me pretty confused
    $endgroup$
    – Sami Shafi
    Apr 8 at 19:55










  • $begingroup$
    hmm maybe I've misunderstood the problem? As you said you'll get both eigenvectors and values if you use [v,b] = eig maybe it's referring to guess which one of the eigenvalues is for which eigenvectors as in you get both of them so you just somehow "see" which of them is for which?
    $endgroup$
    – Sami Shafi
    Apr 8 at 20:00











  • $begingroup$
    This is helpful emathhelp.net/calculators/linear-algebra/…
    $endgroup$
    – amitava
    Apr 8 at 20:55







1




1




$begingroup$
Where does it say "guess"? eig will give you both eigenvalues and eigenvectors.
$endgroup$
– Robert Israel
Apr 8 at 19:50





$begingroup$
Where does it say "guess"? eig will give you both eigenvalues and eigenvectors.
$endgroup$
– Robert Israel
Apr 8 at 19:50













$begingroup$
@RobertIsrael In my problem sheet. (Use "eig" in matlab to find the remaining eigenvalues). From what the command returns, guess the corresponding eigenvectors then verify them (the verifying part is not an issue) but the part that it says "guess" got me pretty confused
$endgroup$
– Sami Shafi
Apr 8 at 19:55




$begingroup$
@RobertIsrael In my problem sheet. (Use "eig" in matlab to find the remaining eigenvalues). From what the command returns, guess the corresponding eigenvectors then verify them (the verifying part is not an issue) but the part that it says "guess" got me pretty confused
$endgroup$
– Sami Shafi
Apr 8 at 19:55












$begingroup$
hmm maybe I've misunderstood the problem? As you said you'll get both eigenvectors and values if you use [v,b] = eig maybe it's referring to guess which one of the eigenvalues is for which eigenvectors as in you get both of them so you just somehow "see" which of them is for which?
$endgroup$
– Sami Shafi
Apr 8 at 20:00





$begingroup$
hmm maybe I've misunderstood the problem? As you said you'll get both eigenvectors and values if you use [v,b] = eig maybe it's referring to guess which one of the eigenvalues is for which eigenvectors as in you get both of them so you just somehow "see" which of them is for which?
$endgroup$
– Sami Shafi
Apr 8 at 20:00













$begingroup$
This is helpful emathhelp.net/calculators/linear-algebra/…
$endgroup$
– amitava
Apr 8 at 20:55




$begingroup$
This is helpful emathhelp.net/calculators/linear-algebra/…
$endgroup$
– amitava
Apr 8 at 20:55










1 Answer
1






active

oldest

votes


















1












$begingroup$

Not really "guesses", but...



Note that $$A - 0.3 I = pmatrix0.1 & 0.3 & 0.3cr
0.3 & 0.2 & 0.2cr
0.3 & 0.2 & 0.2cr $$

has its second and third columns equal. That says that $pmatrix0cr 1 cr -1cr$ will be in its null space, i.e. an eigenvector of $A$ for eigenvalue $0.3$.



Now $A$ being a symmetric matrix, its eigenvectors are orthogonal, so the eigenvector for
the remaining eigenvalue $0.1$ has sum $0$ and its second and third entries equal. Thus
it should be (a multiple of) $pmatrix2 cr -1cr -1cr$.






share|cite|improve this answer









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    active

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    1












    $begingroup$

    Not really "guesses", but...



    Note that $$A - 0.3 I = pmatrix0.1 & 0.3 & 0.3cr
    0.3 & 0.2 & 0.2cr
    0.3 & 0.2 & 0.2cr $$

    has its second and third columns equal. That says that $pmatrix0cr 1 cr -1cr$ will be in its null space, i.e. an eigenvector of $A$ for eigenvalue $0.3$.



    Now $A$ being a symmetric matrix, its eigenvectors are orthogonal, so the eigenvector for
    the remaining eigenvalue $0.1$ has sum $0$ and its second and third entries equal. Thus
    it should be (a multiple of) $pmatrix2 cr -1cr -1cr$.






    share|cite|improve this answer









    $endgroup$

















      1












      $begingroup$

      Not really "guesses", but...



      Note that $$A - 0.3 I = pmatrix0.1 & 0.3 & 0.3cr
      0.3 & 0.2 & 0.2cr
      0.3 & 0.2 & 0.2cr $$

      has its second and third columns equal. That says that $pmatrix0cr 1 cr -1cr$ will be in its null space, i.e. an eigenvector of $A$ for eigenvalue $0.3$.



      Now $A$ being a symmetric matrix, its eigenvectors are orthogonal, so the eigenvector for
      the remaining eigenvalue $0.1$ has sum $0$ and its second and third entries equal. Thus
      it should be (a multiple of) $pmatrix2 cr -1cr -1cr$.






      share|cite|improve this answer









      $endgroup$















        1












        1








        1





        $begingroup$

        Not really "guesses", but...



        Note that $$A - 0.3 I = pmatrix0.1 & 0.3 & 0.3cr
        0.3 & 0.2 & 0.2cr
        0.3 & 0.2 & 0.2cr $$

        has its second and third columns equal. That says that $pmatrix0cr 1 cr -1cr$ will be in its null space, i.e. an eigenvector of $A$ for eigenvalue $0.3$.



        Now $A$ being a symmetric matrix, its eigenvectors are orthogonal, so the eigenvector for
        the remaining eigenvalue $0.1$ has sum $0$ and its second and third entries equal. Thus
        it should be (a multiple of) $pmatrix2 cr -1cr -1cr$.






        share|cite|improve this answer









        $endgroup$



        Not really "guesses", but...



        Note that $$A - 0.3 I = pmatrix0.1 & 0.3 & 0.3cr
        0.3 & 0.2 & 0.2cr
        0.3 & 0.2 & 0.2cr $$

        has its second and third columns equal. That says that $pmatrix0cr 1 cr -1cr$ will be in its null space, i.e. an eigenvector of $A$ for eigenvalue $0.3$.



        Now $A$ being a symmetric matrix, its eigenvectors are orthogonal, so the eigenvector for
        the remaining eigenvalue $0.1$ has sum $0$ and its second and third entries equal. Thus
        it should be (a multiple of) $pmatrix2 cr -1cr -1cr$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Apr 9 at 3:45









        Robert IsraelRobert Israel

        331k23221478




        331k23221478



























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