Rank of Linear Transformation Preserved












0












$begingroup$



Show that the linear transformation with rank $m$ on $n$-dimensional subspace $V$ can be expressed as the sum of $m$ linear transformations with rank $1$.




Since any linear transformation can be represented as a matrix product, i.e $mathbf x mapsto A mathbf x$, along with the property of rank of the matrices,




A rank-$k$ matrix can be written as the sum of $k$ rank-$1$ matrices.




This follows the conclusion.



The proof above is my attempt, and I think I might miss out something, or just have a proof for special case.



Any thought or suggestion would be appreciated.










share|cite|improve this question









$endgroup$












  • $begingroup$
    Where is your proof that any rank $k$ matrix can be written as a sum of $k$ matrices of rank $1$?
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:27










  • $begingroup$
    It is shown in the Wikipedia page for Rank (Linear Algebra). I directly used it.
    $endgroup$
    – weilam06
    Dec 10 '18 at 13:29










  • $begingroup$
    It is fine if you can use the result directly.
    $endgroup$
    – Shubham Johri
    Dec 10 '18 at 13:32










  • $begingroup$
    I don't find a proof of that statement on the wikipedia article you mentioned. But yes, when you have a proof for the statement about rank $k$ matrices, then the statement of about rank $k$ linear transformations is an immediate consequence.
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:32
















0












$begingroup$



Show that the linear transformation with rank $m$ on $n$-dimensional subspace $V$ can be expressed as the sum of $m$ linear transformations with rank $1$.




Since any linear transformation can be represented as a matrix product, i.e $mathbf x mapsto A mathbf x$, along with the property of rank of the matrices,




A rank-$k$ matrix can be written as the sum of $k$ rank-$1$ matrices.




This follows the conclusion.



The proof above is my attempt, and I think I might miss out something, or just have a proof for special case.



Any thought or suggestion would be appreciated.










share|cite|improve this question









$endgroup$












  • $begingroup$
    Where is your proof that any rank $k$ matrix can be written as a sum of $k$ matrices of rank $1$?
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:27










  • $begingroup$
    It is shown in the Wikipedia page for Rank (Linear Algebra). I directly used it.
    $endgroup$
    – weilam06
    Dec 10 '18 at 13:29










  • $begingroup$
    It is fine if you can use the result directly.
    $endgroup$
    – Shubham Johri
    Dec 10 '18 at 13:32










  • $begingroup$
    I don't find a proof of that statement on the wikipedia article you mentioned. But yes, when you have a proof for the statement about rank $k$ matrices, then the statement of about rank $k$ linear transformations is an immediate consequence.
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:32














0












0








0





$begingroup$



Show that the linear transformation with rank $m$ on $n$-dimensional subspace $V$ can be expressed as the sum of $m$ linear transformations with rank $1$.




Since any linear transformation can be represented as a matrix product, i.e $mathbf x mapsto A mathbf x$, along with the property of rank of the matrices,




A rank-$k$ matrix can be written as the sum of $k$ rank-$1$ matrices.




This follows the conclusion.



The proof above is my attempt, and I think I might miss out something, or just have a proof for special case.



Any thought or suggestion would be appreciated.










share|cite|improve this question









$endgroup$





Show that the linear transformation with rank $m$ on $n$-dimensional subspace $V$ can be expressed as the sum of $m$ linear transformations with rank $1$.




Since any linear transformation can be represented as a matrix product, i.e $mathbf x mapsto A mathbf x$, along with the property of rank of the matrices,




A rank-$k$ matrix can be written as the sum of $k$ rank-$1$ matrices.




This follows the conclusion.



The proof above is my attempt, and I think I might miss out something, or just have a proof for special case.



Any thought or suggestion would be appreciated.







linear-algebra proof-verification linear-transformations






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Dec 10 '18 at 13:21









weilam06weilam06

9511




9511












  • $begingroup$
    Where is your proof that any rank $k$ matrix can be written as a sum of $k$ matrices of rank $1$?
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:27










  • $begingroup$
    It is shown in the Wikipedia page for Rank (Linear Algebra). I directly used it.
    $endgroup$
    – weilam06
    Dec 10 '18 at 13:29










  • $begingroup$
    It is fine if you can use the result directly.
    $endgroup$
    – Shubham Johri
    Dec 10 '18 at 13:32










  • $begingroup$
    I don't find a proof of that statement on the wikipedia article you mentioned. But yes, when you have a proof for the statement about rank $k$ matrices, then the statement of about rank $k$ linear transformations is an immediate consequence.
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:32


















  • $begingroup$
    Where is your proof that any rank $k$ matrix can be written as a sum of $k$ matrices of rank $1$?
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:27










  • $begingroup$
    It is shown in the Wikipedia page for Rank (Linear Algebra). I directly used it.
    $endgroup$
    – weilam06
    Dec 10 '18 at 13:29










  • $begingroup$
    It is fine if you can use the result directly.
    $endgroup$
    – Shubham Johri
    Dec 10 '18 at 13:32










  • $begingroup$
    I don't find a proof of that statement on the wikipedia article you mentioned. But yes, when you have a proof for the statement about rank $k$ matrices, then the statement of about rank $k$ linear transformations is an immediate consequence.
    $endgroup$
    – Christoph
    Dec 10 '18 at 13:32
















$begingroup$
Where is your proof that any rank $k$ matrix can be written as a sum of $k$ matrices of rank $1$?
$endgroup$
– Christoph
Dec 10 '18 at 13:27




$begingroup$
Where is your proof that any rank $k$ matrix can be written as a sum of $k$ matrices of rank $1$?
$endgroup$
– Christoph
Dec 10 '18 at 13:27












$begingroup$
It is shown in the Wikipedia page for Rank (Linear Algebra). I directly used it.
$endgroup$
– weilam06
Dec 10 '18 at 13:29




$begingroup$
It is shown in the Wikipedia page for Rank (Linear Algebra). I directly used it.
$endgroup$
– weilam06
Dec 10 '18 at 13:29












$begingroup$
It is fine if you can use the result directly.
$endgroup$
– Shubham Johri
Dec 10 '18 at 13:32




$begingroup$
It is fine if you can use the result directly.
$endgroup$
– Shubham Johri
Dec 10 '18 at 13:32












$begingroup$
I don't find a proof of that statement on the wikipedia article you mentioned. But yes, when you have a proof for the statement about rank $k$ matrices, then the statement of about rank $k$ linear transformations is an immediate consequence.
$endgroup$
– Christoph
Dec 10 '18 at 13:32




$begingroup$
I don't find a proof of that statement on the wikipedia article you mentioned. But yes, when you have a proof for the statement about rank $k$ matrices, then the statement of about rank $k$ linear transformations is an immediate consequence.
$endgroup$
– Christoph
Dec 10 '18 at 13:32










1 Answer
1






active

oldest

votes


















0












$begingroup$

Let me give a direct proof in addition to your approach reducing to the case of matrices. Let $fcolon Vto W$ be a linear map such that $dim(f(V))=m$. Pick a basis $w_1,dots,w_m$ of $f(V)$ and define projections
begin{align*}
pi_j colonquadquad f(V)&longrightarrow f(V), \
sum_i lambda_i w_i &longmapsto lambda_j w_j
end{align*}

for $j=1,dots,m$. Note that $pi_1+cdots+pi_m = operatorname{id}_{f(V)}$.



Hence, defining $f_icolon Vto W$ by $f_i(v)=pi_i(f(v))$ we have
$$
f = f_1+cdots + f_n.
$$

Each $f_i$ is of rank $1$ since $f_i(V) = langle w_irangle$.






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%2f3033905%2frank-of-linear-transformation-preserved%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 me give a direct proof in addition to your approach reducing to the case of matrices. Let $fcolon Vto W$ be a linear map such that $dim(f(V))=m$. Pick a basis $w_1,dots,w_m$ of $f(V)$ and define projections
    begin{align*}
    pi_j colonquadquad f(V)&longrightarrow f(V), \
    sum_i lambda_i w_i &longmapsto lambda_j w_j
    end{align*}

    for $j=1,dots,m$. Note that $pi_1+cdots+pi_m = operatorname{id}_{f(V)}$.



    Hence, defining $f_icolon Vto W$ by $f_i(v)=pi_i(f(v))$ we have
    $$
    f = f_1+cdots + f_n.
    $$

    Each $f_i$ is of rank $1$ since $f_i(V) = langle w_irangle$.






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      Let me give a direct proof in addition to your approach reducing to the case of matrices. Let $fcolon Vto W$ be a linear map such that $dim(f(V))=m$. Pick a basis $w_1,dots,w_m$ of $f(V)$ and define projections
      begin{align*}
      pi_j colonquadquad f(V)&longrightarrow f(V), \
      sum_i lambda_i w_i &longmapsto lambda_j w_j
      end{align*}

      for $j=1,dots,m$. Note that $pi_1+cdots+pi_m = operatorname{id}_{f(V)}$.



      Hence, defining $f_icolon Vto W$ by $f_i(v)=pi_i(f(v))$ we have
      $$
      f = f_1+cdots + f_n.
      $$

      Each $f_i$ is of rank $1$ since $f_i(V) = langle w_irangle$.






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        Let me give a direct proof in addition to your approach reducing to the case of matrices. Let $fcolon Vto W$ be a linear map such that $dim(f(V))=m$. Pick a basis $w_1,dots,w_m$ of $f(V)$ and define projections
        begin{align*}
        pi_j colonquadquad f(V)&longrightarrow f(V), \
        sum_i lambda_i w_i &longmapsto lambda_j w_j
        end{align*}

        for $j=1,dots,m$. Note that $pi_1+cdots+pi_m = operatorname{id}_{f(V)}$.



        Hence, defining $f_icolon Vto W$ by $f_i(v)=pi_i(f(v))$ we have
        $$
        f = f_1+cdots + f_n.
        $$

        Each $f_i$ is of rank $1$ since $f_i(V) = langle w_irangle$.






        share|cite|improve this answer









        $endgroup$



        Let me give a direct proof in addition to your approach reducing to the case of matrices. Let $fcolon Vto W$ be a linear map such that $dim(f(V))=m$. Pick a basis $w_1,dots,w_m$ of $f(V)$ and define projections
        begin{align*}
        pi_j colonquadquad f(V)&longrightarrow f(V), \
        sum_i lambda_i w_i &longmapsto lambda_j w_j
        end{align*}

        for $j=1,dots,m$. Note that $pi_1+cdots+pi_m = operatorname{id}_{f(V)}$.



        Hence, defining $f_icolon Vto W$ by $f_i(v)=pi_i(f(v))$ we have
        $$
        f = f_1+cdots + f_n.
        $$

        Each $f_i$ is of rank $1$ since $f_i(V) = langle w_irangle$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 10 '18 at 13:39









        ChristophChristoph

        11.9k1642




        11.9k1642






























            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%2f3033905%2frank-of-linear-transformation-preserved%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

            Berounka

            Sphinx de Gizeh

            Different font size/position of beamer's navigation symbols template's content depending on regular/plain...