column space having non-linear combinations of basis vectors

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP











up vote
0
down vote

favorite












I have a matrix $A_3x3$ whose basis for the column space are $a_1=(2,2,5)$, $a_2=(9,5,3)$ and $a_3=(3,6,1)$. If these are the basis for the column space, then column space can always be generated by linear combination of these basis vectors. Right?



Now, here is what I did.



I went for a non-linear combination of these basis vectors given by $a_1^2+a_2+a_3^3$ which is equal to $(40,225,29)$. Now since, $(40,225,29)$ is a non-linear combination of basis vectors, I should not be able to get this by linear combination of basis vectors. To verify this I tried to get the coefficients $x_1,x_2$ and $x_3$ such that $x_1(2,2,5)+x_2(9,5,3)+x_3(3,6,1) = (40,225,29)$. Surprisingly, I am getting a consistent solution.



Why is this discrepancy ? By definition the above system should have been inconsistent.



Any suggestions ?










share|cite|improve this question





















  • Note that using the notation $a^2$ for coordinate wise square of a vector $ainmathbb R^3$ is non-standard and should be explained when used. The same notation is often used to denote the dot product of $a$ with itself, which is a number instead of a vector.
    – Christoph
    Sep 3 at 7:33










  • @Christoph It meant that the entries in the columns are squared...
    – Upendra Pratap Singh
    Sep 3 at 7:40














up vote
0
down vote

favorite












I have a matrix $A_3x3$ whose basis for the column space are $a_1=(2,2,5)$, $a_2=(9,5,3)$ and $a_3=(3,6,1)$. If these are the basis for the column space, then column space can always be generated by linear combination of these basis vectors. Right?



Now, here is what I did.



I went for a non-linear combination of these basis vectors given by $a_1^2+a_2+a_3^3$ which is equal to $(40,225,29)$. Now since, $(40,225,29)$ is a non-linear combination of basis vectors, I should not be able to get this by linear combination of basis vectors. To verify this I tried to get the coefficients $x_1,x_2$ and $x_3$ such that $x_1(2,2,5)+x_2(9,5,3)+x_3(3,6,1) = (40,225,29)$. Surprisingly, I am getting a consistent solution.



Why is this discrepancy ? By definition the above system should have been inconsistent.



Any suggestions ?










share|cite|improve this question





















  • Note that using the notation $a^2$ for coordinate wise square of a vector $ainmathbb R^3$ is non-standard and should be explained when used. The same notation is often used to denote the dot product of $a$ with itself, which is a number instead of a vector.
    – Christoph
    Sep 3 at 7:33










  • @Christoph It meant that the entries in the columns are squared...
    – Upendra Pratap Singh
    Sep 3 at 7:40












up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have a matrix $A_3x3$ whose basis for the column space are $a_1=(2,2,5)$, $a_2=(9,5,3)$ and $a_3=(3,6,1)$. If these are the basis for the column space, then column space can always be generated by linear combination of these basis vectors. Right?



Now, here is what I did.



I went for a non-linear combination of these basis vectors given by $a_1^2+a_2+a_3^3$ which is equal to $(40,225,29)$. Now since, $(40,225,29)$ is a non-linear combination of basis vectors, I should not be able to get this by linear combination of basis vectors. To verify this I tried to get the coefficients $x_1,x_2$ and $x_3$ such that $x_1(2,2,5)+x_2(9,5,3)+x_3(3,6,1) = (40,225,29)$. Surprisingly, I am getting a consistent solution.



Why is this discrepancy ? By definition the above system should have been inconsistent.



Any suggestions ?










share|cite|improve this question













I have a matrix $A_3x3$ whose basis for the column space are $a_1=(2,2,5)$, $a_2=(9,5,3)$ and $a_3=(3,6,1)$. If these are the basis for the column space, then column space can always be generated by linear combination of these basis vectors. Right?



Now, here is what I did.



I went for a non-linear combination of these basis vectors given by $a_1^2+a_2+a_3^3$ which is equal to $(40,225,29)$. Now since, $(40,225,29)$ is a non-linear combination of basis vectors, I should not be able to get this by linear combination of basis vectors. To verify this I tried to get the coefficients $x_1,x_2$ and $x_3$ such that $x_1(2,2,5)+x_2(9,5,3)+x_3(3,6,1) = (40,225,29)$. Surprisingly, I am getting a consistent solution.



Why is this discrepancy ? By definition the above system should have been inconsistent.



Any suggestions ?







linear-algebra vector-spaces vectors






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Sep 3 at 7:05









Upendra Pratap Singh

1063




1063











  • Note that using the notation $a^2$ for coordinate wise square of a vector $ainmathbb R^3$ is non-standard and should be explained when used. The same notation is often used to denote the dot product of $a$ with itself, which is a number instead of a vector.
    – Christoph
    Sep 3 at 7:33










  • @Christoph It meant that the entries in the columns are squared...
    – Upendra Pratap Singh
    Sep 3 at 7:40
















  • Note that using the notation $a^2$ for coordinate wise square of a vector $ainmathbb R^3$ is non-standard and should be explained when used. The same notation is often used to denote the dot product of $a$ with itself, which is a number instead of a vector.
    – Christoph
    Sep 3 at 7:33










  • @Christoph It meant that the entries in the columns are squared...
    – Upendra Pratap Singh
    Sep 3 at 7:40















Note that using the notation $a^2$ for coordinate wise square of a vector $ainmathbb R^3$ is non-standard and should be explained when used. The same notation is often used to denote the dot product of $a$ with itself, which is a number instead of a vector.
– Christoph
Sep 3 at 7:33




Note that using the notation $a^2$ for coordinate wise square of a vector $ainmathbb R^3$ is non-standard and should be explained when used. The same notation is often used to denote the dot product of $a$ with itself, which is a number instead of a vector.
– Christoph
Sep 3 at 7:33












@Christoph It meant that the entries in the columns are squared...
– Upendra Pratap Singh
Sep 3 at 7:40




@Christoph It meant that the entries in the columns are squared...
– Upendra Pratap Singh
Sep 3 at 7:40










1 Answer
1






active

oldest

votes

















up vote
2
down vote













Let me do a quick computation to check what does $a_1, a_2, a_3$ span



octave:1> A = [2 2 5; 9 5 3; 3 6 1]
A =

2 2 5
9 5 3
3 6 1

octave:2> rref(A)
ans =

1 0 0
0 1 0
0 0 1


It turns out that it spans $mathbbR^3$, hence anything in $mathbbR^3$ can be written as linear combination of those vectors.



Being a basis of a vector space doesn't say anything about whether it can span any non-linear transform of those three vectors. It can certainly cover its linear combination, but it doesn't guarantee whether it can do so for a particular non-linear combination. After all, a vector that is obtained by a non-linear transform could have been obtained by a linear combination as well.






share|cite|improve this answer






















    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',
    convertImagesToLinks: true,
    noModals: false,
    showLowRepImageUploadWarning: true,
    reputationToPostImages: 10,
    bindNavPrevention: true,
    postfix: "",
    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%2f2903593%2fcolumn-space-having-non-linear-combinations-of-basis-vectors%23new-answer', 'question_page');

    );

    Post as a guest






























    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    2
    down vote













    Let me do a quick computation to check what does $a_1, a_2, a_3$ span



    octave:1> A = [2 2 5; 9 5 3; 3 6 1]
    A =

    2 2 5
    9 5 3
    3 6 1

    octave:2> rref(A)
    ans =

    1 0 0
    0 1 0
    0 0 1


    It turns out that it spans $mathbbR^3$, hence anything in $mathbbR^3$ can be written as linear combination of those vectors.



    Being a basis of a vector space doesn't say anything about whether it can span any non-linear transform of those three vectors. It can certainly cover its linear combination, but it doesn't guarantee whether it can do so for a particular non-linear combination. After all, a vector that is obtained by a non-linear transform could have been obtained by a linear combination as well.






    share|cite|improve this answer


























      up vote
      2
      down vote













      Let me do a quick computation to check what does $a_1, a_2, a_3$ span



      octave:1> A = [2 2 5; 9 5 3; 3 6 1]
      A =

      2 2 5
      9 5 3
      3 6 1

      octave:2> rref(A)
      ans =

      1 0 0
      0 1 0
      0 0 1


      It turns out that it spans $mathbbR^3$, hence anything in $mathbbR^3$ can be written as linear combination of those vectors.



      Being a basis of a vector space doesn't say anything about whether it can span any non-linear transform of those three vectors. It can certainly cover its linear combination, but it doesn't guarantee whether it can do so for a particular non-linear combination. After all, a vector that is obtained by a non-linear transform could have been obtained by a linear combination as well.






      share|cite|improve this answer
























        up vote
        2
        down vote










        up vote
        2
        down vote









        Let me do a quick computation to check what does $a_1, a_2, a_3$ span



        octave:1> A = [2 2 5; 9 5 3; 3 6 1]
        A =

        2 2 5
        9 5 3
        3 6 1

        octave:2> rref(A)
        ans =

        1 0 0
        0 1 0
        0 0 1


        It turns out that it spans $mathbbR^3$, hence anything in $mathbbR^3$ can be written as linear combination of those vectors.



        Being a basis of a vector space doesn't say anything about whether it can span any non-linear transform of those three vectors. It can certainly cover its linear combination, but it doesn't guarantee whether it can do so for a particular non-linear combination. After all, a vector that is obtained by a non-linear transform could have been obtained by a linear combination as well.






        share|cite|improve this answer














        Let me do a quick computation to check what does $a_1, a_2, a_3$ span



        octave:1> A = [2 2 5; 9 5 3; 3 6 1]
        A =

        2 2 5
        9 5 3
        3 6 1

        octave:2> rref(A)
        ans =

        1 0 0
        0 1 0
        0 0 1


        It turns out that it spans $mathbbR^3$, hence anything in $mathbbR^3$ can be written as linear combination of those vectors.



        Being a basis of a vector space doesn't say anything about whether it can span any non-linear transform of those three vectors. It can certainly cover its linear combination, but it doesn't guarantee whether it can do so for a particular non-linear combination. After all, a vector that is obtained by a non-linear transform could have been obtained by a linear combination as well.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Sep 3 at 7:32

























        answered Sep 3 at 7:26









        Siong Thye Goh

        82.2k1456104




        82.2k1456104



























             

            draft saved


            draft discarded















































             


            draft saved


            draft discarded














            StackExchange.ready(
            function ()
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2903593%2fcolumn-space-having-non-linear-combinations-of-basis-vectors%23new-answer', 'question_page');

            );

            Post as a guest













































































            這個網誌中的熱門文章

            tkz-euclide: tkzDrawCircle[R] not working

            How to combine Bézier curves to a surface?

            1st Magritte Awards