Why the intersection appears in the matrix












1














Its for a calculus homework. They give me 2 subspace basis and a matrix, and after row reduction it appears the sum and the intersection. I have to explain why and how appears the intersection. This is the homework.



$ basis-S = {(1,2,1,1,1),(1,0,1,0,1),(-1,1,0,1,1)} $
$ basis-W = {(1,1,1,2,-2),(1,3,1,3,-2)} $



So, in the matrix we have:




  • Green -> basis-S

  • Yellow -> basis-S

  • Orange -> basis-W

  • Purple -> null, 0


After the row reduction, we have:




  • Sum -> $ (1,2,1,1,1)(0,1,0,2,-3)(0,0,-1,4,-11)(0,0,0,3,-6) $ (upper left)

  • Intersection -> $ (0,2,0,1,0) $ (bottom right)


So i have to explain why appears the intersection in the right. How the information of basis-W pass to the right and appears the intersection.



If you can help me, i appreciate it. Any question, tell me. Thanks!










share|cite|improve this question
























  • btw I haven't seen the word "scalation" before; the terms I've seen are "row reduction" or "Gaussian elimination". en.wikipedia.org/wiki/Gaussian_elimination
    – stewbasic
    Nov 28 '18 at 4:35










  • Could you give some indication which linear algebra topics you have seen? Do you know what is meant by the projection $pi_1:Voplus Vto V$ on the first factor?
    – stewbasic
    Nov 28 '18 at 4:41










  • @stewbasic sorry, english its not my first language, row reduction is what i mean. And what i have been like this V⊕V, is direct sum of subspace, i dont remember seeing projection.
    – Juan Manuel
    Nov 28 '18 at 11:52
















1














Its for a calculus homework. They give me 2 subspace basis and a matrix, and after row reduction it appears the sum and the intersection. I have to explain why and how appears the intersection. This is the homework.



$ basis-S = {(1,2,1,1,1),(1,0,1,0,1),(-1,1,0,1,1)} $
$ basis-W = {(1,1,1,2,-2),(1,3,1,3,-2)} $



So, in the matrix we have:




  • Green -> basis-S

  • Yellow -> basis-S

  • Orange -> basis-W

  • Purple -> null, 0


After the row reduction, we have:




  • Sum -> $ (1,2,1,1,1)(0,1,0,2,-3)(0,0,-1,4,-11)(0,0,0,3,-6) $ (upper left)

  • Intersection -> $ (0,2,0,1,0) $ (bottom right)


So i have to explain why appears the intersection in the right. How the information of basis-W pass to the right and appears the intersection.



If you can help me, i appreciate it. Any question, tell me. Thanks!










share|cite|improve this question
























  • btw I haven't seen the word "scalation" before; the terms I've seen are "row reduction" or "Gaussian elimination". en.wikipedia.org/wiki/Gaussian_elimination
    – stewbasic
    Nov 28 '18 at 4:35










  • Could you give some indication which linear algebra topics you have seen? Do you know what is meant by the projection $pi_1:Voplus Vto V$ on the first factor?
    – stewbasic
    Nov 28 '18 at 4:41










  • @stewbasic sorry, english its not my first language, row reduction is what i mean. And what i have been like this V⊕V, is direct sum of subspace, i dont remember seeing projection.
    – Juan Manuel
    Nov 28 '18 at 11:52














1












1








1







Its for a calculus homework. They give me 2 subspace basis and a matrix, and after row reduction it appears the sum and the intersection. I have to explain why and how appears the intersection. This is the homework.



$ basis-S = {(1,2,1,1,1),(1,0,1,0,1),(-1,1,0,1,1)} $
$ basis-W = {(1,1,1,2,-2),(1,3,1,3,-2)} $



So, in the matrix we have:




  • Green -> basis-S

  • Yellow -> basis-S

  • Orange -> basis-W

  • Purple -> null, 0


After the row reduction, we have:




  • Sum -> $ (1,2,1,1,1)(0,1,0,2,-3)(0,0,-1,4,-11)(0,0,0,3,-6) $ (upper left)

  • Intersection -> $ (0,2,0,1,0) $ (bottom right)


So i have to explain why appears the intersection in the right. How the information of basis-W pass to the right and appears the intersection.



If you can help me, i appreciate it. Any question, tell me. Thanks!










share|cite|improve this question















Its for a calculus homework. They give me 2 subspace basis and a matrix, and after row reduction it appears the sum and the intersection. I have to explain why and how appears the intersection. This is the homework.



$ basis-S = {(1,2,1,1,1),(1,0,1,0,1),(-1,1,0,1,1)} $
$ basis-W = {(1,1,1,2,-2),(1,3,1,3,-2)} $



So, in the matrix we have:




  • Green -> basis-S

  • Yellow -> basis-S

  • Orange -> basis-W

  • Purple -> null, 0


After the row reduction, we have:




  • Sum -> $ (1,2,1,1,1)(0,1,0,2,-3)(0,0,-1,4,-11)(0,0,0,3,-6) $ (upper left)

  • Intersection -> $ (0,2,0,1,0) $ (bottom right)


So i have to explain why appears the intersection in the right. How the information of basis-W pass to the right and appears the intersection.



If you can help me, i appreciate it. Any question, tell me. Thanks!







calculus vector-spaces matrix-calculus






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edited Nov 28 '18 at 11:53

























asked Nov 28 '18 at 3:10









Juan Manuel

84




84












  • btw I haven't seen the word "scalation" before; the terms I've seen are "row reduction" or "Gaussian elimination". en.wikipedia.org/wiki/Gaussian_elimination
    – stewbasic
    Nov 28 '18 at 4:35










  • Could you give some indication which linear algebra topics you have seen? Do you know what is meant by the projection $pi_1:Voplus Vto V$ on the first factor?
    – stewbasic
    Nov 28 '18 at 4:41










  • @stewbasic sorry, english its not my first language, row reduction is what i mean. And what i have been like this V⊕V, is direct sum of subspace, i dont remember seeing projection.
    – Juan Manuel
    Nov 28 '18 at 11:52


















  • btw I haven't seen the word "scalation" before; the terms I've seen are "row reduction" or "Gaussian elimination". en.wikipedia.org/wiki/Gaussian_elimination
    – stewbasic
    Nov 28 '18 at 4:35










  • Could you give some indication which linear algebra topics you have seen? Do you know what is meant by the projection $pi_1:Voplus Vto V$ on the first factor?
    – stewbasic
    Nov 28 '18 at 4:41










  • @stewbasic sorry, english its not my first language, row reduction is what i mean. And what i have been like this V⊕V, is direct sum of subspace, i dont remember seeing projection.
    – Juan Manuel
    Nov 28 '18 at 11:52
















btw I haven't seen the word "scalation" before; the terms I've seen are "row reduction" or "Gaussian elimination". en.wikipedia.org/wiki/Gaussian_elimination
– stewbasic
Nov 28 '18 at 4:35




btw I haven't seen the word "scalation" before; the terms I've seen are "row reduction" or "Gaussian elimination". en.wikipedia.org/wiki/Gaussian_elimination
– stewbasic
Nov 28 '18 at 4:35












Could you give some indication which linear algebra topics you have seen? Do you know what is meant by the projection $pi_1:Voplus Vto V$ on the first factor?
– stewbasic
Nov 28 '18 at 4:41




Could you give some indication which linear algebra topics you have seen? Do you know what is meant by the projection $pi_1:Voplus Vto V$ on the first factor?
– stewbasic
Nov 28 '18 at 4:41












@stewbasic sorry, english its not my first language, row reduction is what i mean. And what i have been like this V⊕V, is direct sum of subspace, i dont remember seeing projection.
– Juan Manuel
Nov 28 '18 at 11:52




@stewbasic sorry, english its not my first language, row reduction is what i mean. And what i have been like this V⊕V, is direct sum of subspace, i dont remember seeing projection.
– Juan Manuel
Nov 28 '18 at 11:52










1 Answer
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I'll use $B_S$ and $B_W$ to denote the matrices containing the given bases, so the initial matrix can be written in block form as
$$
begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}.
$$

Hint: An element of the row space of the original matrix is of the form
$$
begin{bmatrix}a&bend{bmatrix}
begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}
=begin{bmatrix}aB_S+bB_W&aB_Send{bmatrix}
$$

If the first half of this vector is zero, what does it tell you? Now recall that the row reduced matrix has the same row space as the original matrix.






share|cite|improve this answer





















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    I'll use $B_S$ and $B_W$ to denote the matrices containing the given bases, so the initial matrix can be written in block form as
    $$
    begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}.
    $$

    Hint: An element of the row space of the original matrix is of the form
    $$
    begin{bmatrix}a&bend{bmatrix}
    begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}
    =begin{bmatrix}aB_S+bB_W&aB_Send{bmatrix}
    $$

    If the first half of this vector is zero, what does it tell you? Now recall that the row reduced matrix has the same row space as the original matrix.






    share|cite|improve this answer


























      0














      I'll use $B_S$ and $B_W$ to denote the matrices containing the given bases, so the initial matrix can be written in block form as
      $$
      begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}.
      $$

      Hint: An element of the row space of the original matrix is of the form
      $$
      begin{bmatrix}a&bend{bmatrix}
      begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}
      =begin{bmatrix}aB_S+bB_W&aB_Send{bmatrix}
      $$

      If the first half of this vector is zero, what does it tell you? Now recall that the row reduced matrix has the same row space as the original matrix.






      share|cite|improve this answer
























        0












        0








        0






        I'll use $B_S$ and $B_W$ to denote the matrices containing the given bases, so the initial matrix can be written in block form as
        $$
        begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}.
        $$

        Hint: An element of the row space of the original matrix is of the form
        $$
        begin{bmatrix}a&bend{bmatrix}
        begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}
        =begin{bmatrix}aB_S+bB_W&aB_Send{bmatrix}
        $$

        If the first half of this vector is zero, what does it tell you? Now recall that the row reduced matrix has the same row space as the original matrix.






        share|cite|improve this answer












        I'll use $B_S$ and $B_W$ to denote the matrices containing the given bases, so the initial matrix can be written in block form as
        $$
        begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}.
        $$

        Hint: An element of the row space of the original matrix is of the form
        $$
        begin{bmatrix}a&bend{bmatrix}
        begin{bmatrix}B_S&B_S\B_W&0end{bmatrix}
        =begin{bmatrix}aB_S+bB_W&aB_Send{bmatrix}
        $$

        If the first half of this vector is zero, what does it tell you? Now recall that the row reduced matrix has the same row space as the original matrix.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 28 '18 at 21:34









        stewbasic

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