Eigenvalues of Orthogonal Projection, using representative matrix












1












$begingroup$



Let $V$ an inner product vector space and $U$ a vector subspace of $V$. Consider the linear operator $Proj_{; U }:Vrightarrow V$ such that $forall vin V ; : ; Proj_{; U}(v) = Proj_{; U}V$, where $Proj_{; U}V$ is the orthogonal projection of the vector $v$ onto the subspace $U$. Find the representative matrix of $Proj_{; U}V$ and show that it's eigenvalues are $lambda_1= 0$ and $lambda_2 = 1$.




I've tried to define $B_v =left{v_1,ldots,v_n right} $ as a basis of $V$ and $B_u =left{u_1,ldots,u_m right} $ as an orthonormal basis of $U$. Then i got the matrix begin{equation}left[Proj_{;U} right]_{B_{v}} = begin{bmatrix}dfrac{langle v_1,u_1 rangle}{||u_1||^2} &ldots &dfrac{langle v_n,u_1rangle}{||u_1||^2}\ vdots&ddots&vdots\ dfrac{langle v_1,u_m rangle}{||u_m||^2}&ldots& {dfrac{langle{v_n,u_m}rangle}{||u_m||^2}} end{bmatrix} end{equation}
This doesn't convince me.

is this wrong? How can i find the eigenvalues of this transformation?
Thanks in advance-










share|cite|improve this question











$endgroup$












  • $begingroup$
    Hint: Find a basis of $V$ in which the matrix is diagonal.
    $endgroup$
    – amd
    Dec 30 '18 at 21:39


















1












$begingroup$



Let $V$ an inner product vector space and $U$ a vector subspace of $V$. Consider the linear operator $Proj_{; U }:Vrightarrow V$ such that $forall vin V ; : ; Proj_{; U}(v) = Proj_{; U}V$, where $Proj_{; U}V$ is the orthogonal projection of the vector $v$ onto the subspace $U$. Find the representative matrix of $Proj_{; U}V$ and show that it's eigenvalues are $lambda_1= 0$ and $lambda_2 = 1$.




I've tried to define $B_v =left{v_1,ldots,v_n right} $ as a basis of $V$ and $B_u =left{u_1,ldots,u_m right} $ as an orthonormal basis of $U$. Then i got the matrix begin{equation}left[Proj_{;U} right]_{B_{v}} = begin{bmatrix}dfrac{langle v_1,u_1 rangle}{||u_1||^2} &ldots &dfrac{langle v_n,u_1rangle}{||u_1||^2}\ vdots&ddots&vdots\ dfrac{langle v_1,u_m rangle}{||u_m||^2}&ldots& {dfrac{langle{v_n,u_m}rangle}{||u_m||^2}} end{bmatrix} end{equation}
This doesn't convince me.

is this wrong? How can i find the eigenvalues of this transformation?
Thanks in advance-










share|cite|improve this question











$endgroup$












  • $begingroup$
    Hint: Find a basis of $V$ in which the matrix is diagonal.
    $endgroup$
    – amd
    Dec 30 '18 at 21:39
















1












1








1


1



$begingroup$



Let $V$ an inner product vector space and $U$ a vector subspace of $V$. Consider the linear operator $Proj_{; U }:Vrightarrow V$ such that $forall vin V ; : ; Proj_{; U}(v) = Proj_{; U}V$, where $Proj_{; U}V$ is the orthogonal projection of the vector $v$ onto the subspace $U$. Find the representative matrix of $Proj_{; U}V$ and show that it's eigenvalues are $lambda_1= 0$ and $lambda_2 = 1$.




I've tried to define $B_v =left{v_1,ldots,v_n right} $ as a basis of $V$ and $B_u =left{u_1,ldots,u_m right} $ as an orthonormal basis of $U$. Then i got the matrix begin{equation}left[Proj_{;U} right]_{B_{v}} = begin{bmatrix}dfrac{langle v_1,u_1 rangle}{||u_1||^2} &ldots &dfrac{langle v_n,u_1rangle}{||u_1||^2}\ vdots&ddots&vdots\ dfrac{langle v_1,u_m rangle}{||u_m||^2}&ldots& {dfrac{langle{v_n,u_m}rangle}{||u_m||^2}} end{bmatrix} end{equation}
This doesn't convince me.

is this wrong? How can i find the eigenvalues of this transformation?
Thanks in advance-










share|cite|improve this question











$endgroup$





Let $V$ an inner product vector space and $U$ a vector subspace of $V$. Consider the linear operator $Proj_{; U }:Vrightarrow V$ such that $forall vin V ; : ; Proj_{; U}(v) = Proj_{; U}V$, where $Proj_{; U}V$ is the orthogonal projection of the vector $v$ onto the subspace $U$. Find the representative matrix of $Proj_{; U}V$ and show that it's eigenvalues are $lambda_1= 0$ and $lambda_2 = 1$.




I've tried to define $B_v =left{v_1,ldots,v_n right} $ as a basis of $V$ and $B_u =left{u_1,ldots,u_m right} $ as an orthonormal basis of $U$. Then i got the matrix begin{equation}left[Proj_{;U} right]_{B_{v}} = begin{bmatrix}dfrac{langle v_1,u_1 rangle}{||u_1||^2} &ldots &dfrac{langle v_n,u_1rangle}{||u_1||^2}\ vdots&ddots&vdots\ dfrac{langle v_1,u_m rangle}{||u_m||^2}&ldots& {dfrac{langle{v_n,u_m}rangle}{||u_m||^2}} end{bmatrix} end{equation}
This doesn't convince me.

is this wrong? How can i find the eigenvalues of this transformation?
Thanks in advance-







linear-algebra matrices linear-transformations projection-matrices






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 31 '18 at 3:46







Raúl Astete

















asked Dec 30 '18 at 21:26









Raúl AsteteRaúl Astete

637




637












  • $begingroup$
    Hint: Find a basis of $V$ in which the matrix is diagonal.
    $endgroup$
    – amd
    Dec 30 '18 at 21:39




















  • $begingroup$
    Hint: Find a basis of $V$ in which the matrix is diagonal.
    $endgroup$
    – amd
    Dec 30 '18 at 21:39


















$begingroup$
Hint: Find a basis of $V$ in which the matrix is diagonal.
$endgroup$
– amd
Dec 30 '18 at 21:39






$begingroup$
Hint: Find a basis of $V$ in which the matrix is diagonal.
$endgroup$
– amd
Dec 30 '18 at 21:39












1 Answer
1






active

oldest

votes


















1












$begingroup$

As you wrote, let ${u_1,ldots,u_m}$ be an orthonormal basis if $U$. Add vectors $v_1,ldots,v_l$ to it so that $B={u_1,ldots,u_m,v_1,ldots,v_l}$ is an orthonormal basis of $V$. Then the matrix of $operatorname{Proj}_U$ with respect to this basis is$$begin{bmatrix}operatorname{Id}_m&0\0&0_lend{bmatrix}.$$






share|cite|improve this answer









$endgroup$














    Your Answer








    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%2f3057217%2feigenvalues-of-orthogonal-projection-using-representative-matrix%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









    1












    $begingroup$

    As you wrote, let ${u_1,ldots,u_m}$ be an orthonormal basis if $U$. Add vectors $v_1,ldots,v_l$ to it so that $B={u_1,ldots,u_m,v_1,ldots,v_l}$ is an orthonormal basis of $V$. Then the matrix of $operatorname{Proj}_U$ with respect to this basis is$$begin{bmatrix}operatorname{Id}_m&0\0&0_lend{bmatrix}.$$






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      As you wrote, let ${u_1,ldots,u_m}$ be an orthonormal basis if $U$. Add vectors $v_1,ldots,v_l$ to it so that $B={u_1,ldots,u_m,v_1,ldots,v_l}$ is an orthonormal basis of $V$. Then the matrix of $operatorname{Proj}_U$ with respect to this basis is$$begin{bmatrix}operatorname{Id}_m&0\0&0_lend{bmatrix}.$$






      share|cite|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        As you wrote, let ${u_1,ldots,u_m}$ be an orthonormal basis if $U$. Add vectors $v_1,ldots,v_l$ to it so that $B={u_1,ldots,u_m,v_1,ldots,v_l}$ is an orthonormal basis of $V$. Then the matrix of $operatorname{Proj}_U$ with respect to this basis is$$begin{bmatrix}operatorname{Id}_m&0\0&0_lend{bmatrix}.$$






        share|cite|improve this answer









        $endgroup$



        As you wrote, let ${u_1,ldots,u_m}$ be an orthonormal basis if $U$. Add vectors $v_1,ldots,v_l$ to it so that $B={u_1,ldots,u_m,v_1,ldots,v_l}$ is an orthonormal basis of $V$. Then the matrix of $operatorname{Proj}_U$ with respect to this basis is$$begin{bmatrix}operatorname{Id}_m&0\0&0_lend{bmatrix}.$$







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 30 '18 at 21:40









        José Carlos SantosJosé Carlos Santos

        177k24138251




        177k24138251






























            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%2f3057217%2feigenvalues-of-orthogonal-projection-using-representative-matrix%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