How to deduce third eigenvalue/eigenvector pair of a matrix from first two pairs and determinant












-1












$begingroup$


Suppose you have a 3 x 3 matrix 'A' with unknown values whose determinant is known and non - zero. If you know two of its eigenvalues and their corresponding eigenvectors, how can you find the third eigenvalue and eigenvector?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    The product of the three eigenvalues is the determinant.
    $endgroup$
    – T. Bongers
    Dec 11 '18 at 2:25












  • $begingroup$
    I know that, but how do you find its corresponding eigenvector?
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:26










  • $begingroup$
    Same as you find any eigenvector: Null space of $A-lambda I$. There's not a special trick (unless $A$ is symmetric, then you can find the O. Complement of the first two evectors)
    $endgroup$
    – Morgan Rodgers
    Dec 11 '18 at 2:28












  • $begingroup$
    You do not know what the matrix values of 'A' are. You only know its determinant and that it's 3x3. I have updated the question to reflect this.
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:31










  • $begingroup$
    There’s no way to determine the missing eigenspace without more information about $A$.
    $endgroup$
    – amd
    Dec 11 '18 at 2:50


















-1












$begingroup$


Suppose you have a 3 x 3 matrix 'A' with unknown values whose determinant is known and non - zero. If you know two of its eigenvalues and their corresponding eigenvectors, how can you find the third eigenvalue and eigenvector?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    The product of the three eigenvalues is the determinant.
    $endgroup$
    – T. Bongers
    Dec 11 '18 at 2:25












  • $begingroup$
    I know that, but how do you find its corresponding eigenvector?
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:26










  • $begingroup$
    Same as you find any eigenvector: Null space of $A-lambda I$. There's not a special trick (unless $A$ is symmetric, then you can find the O. Complement of the first two evectors)
    $endgroup$
    – Morgan Rodgers
    Dec 11 '18 at 2:28












  • $begingroup$
    You do not know what the matrix values of 'A' are. You only know its determinant and that it's 3x3. I have updated the question to reflect this.
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:31










  • $begingroup$
    There’s no way to determine the missing eigenspace without more information about $A$.
    $endgroup$
    – amd
    Dec 11 '18 at 2:50
















-1












-1








-1





$begingroup$


Suppose you have a 3 x 3 matrix 'A' with unknown values whose determinant is known and non - zero. If you know two of its eigenvalues and their corresponding eigenvectors, how can you find the third eigenvalue and eigenvector?










share|cite|improve this question











$endgroup$




Suppose you have a 3 x 3 matrix 'A' with unknown values whose determinant is known and non - zero. If you know two of its eigenvalues and their corresponding eigenvectors, how can you find the third eigenvalue and eigenvector?







linear-algebra matrices






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 11 '18 at 2:31







BuluBestTapu

















asked Dec 11 '18 at 2:25









BuluBestTapuBuluBestTapu

778




778








  • 1




    $begingroup$
    The product of the three eigenvalues is the determinant.
    $endgroup$
    – T. Bongers
    Dec 11 '18 at 2:25












  • $begingroup$
    I know that, but how do you find its corresponding eigenvector?
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:26










  • $begingroup$
    Same as you find any eigenvector: Null space of $A-lambda I$. There's not a special trick (unless $A$ is symmetric, then you can find the O. Complement of the first two evectors)
    $endgroup$
    – Morgan Rodgers
    Dec 11 '18 at 2:28












  • $begingroup$
    You do not know what the matrix values of 'A' are. You only know its determinant and that it's 3x3. I have updated the question to reflect this.
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:31










  • $begingroup$
    There’s no way to determine the missing eigenspace without more information about $A$.
    $endgroup$
    – amd
    Dec 11 '18 at 2:50
















  • 1




    $begingroup$
    The product of the three eigenvalues is the determinant.
    $endgroup$
    – T. Bongers
    Dec 11 '18 at 2:25












  • $begingroup$
    I know that, but how do you find its corresponding eigenvector?
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:26










  • $begingroup$
    Same as you find any eigenvector: Null space of $A-lambda I$. There's not a special trick (unless $A$ is symmetric, then you can find the O. Complement of the first two evectors)
    $endgroup$
    – Morgan Rodgers
    Dec 11 '18 at 2:28












  • $begingroup$
    You do not know what the matrix values of 'A' are. You only know its determinant and that it's 3x3. I have updated the question to reflect this.
    $endgroup$
    – BuluBestTapu
    Dec 11 '18 at 2:31










  • $begingroup$
    There’s no way to determine the missing eigenspace without more information about $A$.
    $endgroup$
    – amd
    Dec 11 '18 at 2:50










1




1




$begingroup$
The product of the three eigenvalues is the determinant.
$endgroup$
– T. Bongers
Dec 11 '18 at 2:25






$begingroup$
The product of the three eigenvalues is the determinant.
$endgroup$
– T. Bongers
Dec 11 '18 at 2:25














$begingroup$
I know that, but how do you find its corresponding eigenvector?
$endgroup$
– BuluBestTapu
Dec 11 '18 at 2:26




$begingroup$
I know that, but how do you find its corresponding eigenvector?
$endgroup$
– BuluBestTapu
Dec 11 '18 at 2:26












$begingroup$
Same as you find any eigenvector: Null space of $A-lambda I$. There's not a special trick (unless $A$ is symmetric, then you can find the O. Complement of the first two evectors)
$endgroup$
– Morgan Rodgers
Dec 11 '18 at 2:28






$begingroup$
Same as you find any eigenvector: Null space of $A-lambda I$. There's not a special trick (unless $A$ is symmetric, then you can find the O. Complement of the first two evectors)
$endgroup$
– Morgan Rodgers
Dec 11 '18 at 2:28














$begingroup$
You do not know what the matrix values of 'A' are. You only know its determinant and that it's 3x3. I have updated the question to reflect this.
$endgroup$
– BuluBestTapu
Dec 11 '18 at 2:31




$begingroup$
You do not know what the matrix values of 'A' are. You only know its determinant and that it's 3x3. I have updated the question to reflect this.
$endgroup$
– BuluBestTapu
Dec 11 '18 at 2:31












$begingroup$
There’s no way to determine the missing eigenspace without more information about $A$.
$endgroup$
– amd
Dec 11 '18 at 2:50






$begingroup$
There’s no way to determine the missing eigenspace without more information about $A$.
$endgroup$
– amd
Dec 11 '18 at 2:50












1 Answer
1






active

oldest

votes


















0












$begingroup$

Let $A=[a_{i,j}]$. You know $spectrum(A)={lambda,mu,nu}$ and $u,vinmathbb{R}^3$ s.t. $Au=lambda u,Av=mu v$; that is, (since $u,v$ are known up to a factor) $3+2+2$ independent algebraic relations linking the $9$ unknowns $(a_{i,j})$.



So, you miss 2 relations.



EDIT. That follows is false: "you could conclude if you were given -for example- in addition, an eigenvector of $A^T$".



Indeed, the eigenvector of $A^T$ associated to $nu$ is orthogonal to the plane $span(u,v)$.



Finally, I think the right question is: "find the eigenvector of $A^T$ associated with the third eigenvalue".






share|cite|improve this answer











$endgroup$













    Your Answer





    StackExchange.ifUsing("editor", function () {
    return StackExchange.using("mathjaxEditing", function () {
    StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
    StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
    });
    });
    }, "mathjax-editing");

    StackExchange.ready(function() {
    var channelOptions = {
    tags: "".split(" "),
    id: "69"
    };
    initTagRenderer("".split(" "), "".split(" "), channelOptions);

    StackExchange.using("externalEditor", function() {
    // Have to fire editor after snippets, if snippets enabled
    if (StackExchange.settings.snippets.snippetsEnabled) {
    StackExchange.using("snippets", function() {
    createEditor();
    });
    }
    else {
    createEditor();
    }
    });

    function createEditor() {
    StackExchange.prepareEditor({
    heartbeatType: 'answer',
    autoActivateHeartbeat: false,
    convertImagesToLinks: true,
    noModals: true,
    showLowRepImageUploadWarning: true,
    reputationToPostImages: 10,
    bindNavPrevention: true,
    postfix: "",
    imageUploader: {
    brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
    contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
    allowUrls: true
    },
    noCode: true, onDemand: true,
    discardSelector: ".discard-answer"
    ,immediatelyShowMarkdownHelp:true
    });


    }
    });














    draft saved

    draft discarded


















    StackExchange.ready(
    function () {
    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3034790%2fhow-to-deduce-third-eigenvalue-eigenvector-pair-of-a-matrix-from-first-two-pairs%23new-answer', 'question_page');
    }
    );

    Post as a guest















    Required, but never shown

























    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0












    $begingroup$

    Let $A=[a_{i,j}]$. You know $spectrum(A)={lambda,mu,nu}$ and $u,vinmathbb{R}^3$ s.t. $Au=lambda u,Av=mu v$; that is, (since $u,v$ are known up to a factor) $3+2+2$ independent algebraic relations linking the $9$ unknowns $(a_{i,j})$.



    So, you miss 2 relations.



    EDIT. That follows is false: "you could conclude if you were given -for example- in addition, an eigenvector of $A^T$".



    Indeed, the eigenvector of $A^T$ associated to $nu$ is orthogonal to the plane $span(u,v)$.



    Finally, I think the right question is: "find the eigenvector of $A^T$ associated with the third eigenvalue".






    share|cite|improve this answer











    $endgroup$


















      0












      $begingroup$

      Let $A=[a_{i,j}]$. You know $spectrum(A)={lambda,mu,nu}$ and $u,vinmathbb{R}^3$ s.t. $Au=lambda u,Av=mu v$; that is, (since $u,v$ are known up to a factor) $3+2+2$ independent algebraic relations linking the $9$ unknowns $(a_{i,j})$.



      So, you miss 2 relations.



      EDIT. That follows is false: "you could conclude if you were given -for example- in addition, an eigenvector of $A^T$".



      Indeed, the eigenvector of $A^T$ associated to $nu$ is orthogonal to the plane $span(u,v)$.



      Finally, I think the right question is: "find the eigenvector of $A^T$ associated with the third eigenvalue".






      share|cite|improve this answer











      $endgroup$
















        0












        0








        0





        $begingroup$

        Let $A=[a_{i,j}]$. You know $spectrum(A)={lambda,mu,nu}$ and $u,vinmathbb{R}^3$ s.t. $Au=lambda u,Av=mu v$; that is, (since $u,v$ are known up to a factor) $3+2+2$ independent algebraic relations linking the $9$ unknowns $(a_{i,j})$.



        So, you miss 2 relations.



        EDIT. That follows is false: "you could conclude if you were given -for example- in addition, an eigenvector of $A^T$".



        Indeed, the eigenvector of $A^T$ associated to $nu$ is orthogonal to the plane $span(u,v)$.



        Finally, I think the right question is: "find the eigenvector of $A^T$ associated with the third eigenvalue".






        share|cite|improve this answer











        $endgroup$



        Let $A=[a_{i,j}]$. You know $spectrum(A)={lambda,mu,nu}$ and $u,vinmathbb{R}^3$ s.t. $Au=lambda u,Av=mu v$; that is, (since $u,v$ are known up to a factor) $3+2+2$ independent algebraic relations linking the $9$ unknowns $(a_{i,j})$.



        So, you miss 2 relations.



        EDIT. That follows is false: "you could conclude if you were given -for example- in addition, an eigenvector of $A^T$".



        Indeed, the eigenvector of $A^T$ associated to $nu$ is orthogonal to the plane $span(u,v)$.



        Finally, I think the right question is: "find the eigenvector of $A^T$ associated with the third eigenvalue".







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Dec 11 '18 at 11:17

























        answered Dec 11 '18 at 10:41









        loup blancloup blanc

        23.4k21851




        23.4k21851






























            draft saved

            draft discarded




















































            Thanks for contributing an answer to Mathematics Stack Exchange!


            • Please be sure to answer the question. Provide details and share your research!

            But avoid



            • Asking for help, clarification, or responding to other answers.

            • Making statements based on opinion; back them up with references or personal experience.


            Use MathJax to format equations. MathJax reference.


            To learn more, see our tips on writing great answers.




            draft saved


            draft discarded














            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3034790%2fhow-to-deduce-third-eigenvalue-eigenvector-pair-of-a-matrix-from-first-two-pairs%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown





















































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown

































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown







            Popular posts from this blog

            Bundesstraße 106

            Verónica Boquete

            Ida-Boy-Ed-Garten