What does it mean geometrically to add two matrices?

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If you think of matrix-vector multiplication geometrically as a linear transformation to a new coordinate system and matrix-matrix multiplication as the composition of two separate linear transformations, what does it mean to add two matrices together?



Would it make sense to think of it in terms of adding each basis vector separately to create a new set of basis vectors?










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    You can think of it as adding basis vectors. But beware that after the addition, the new set of vectors may not be independent any more.
    – P. Factor
    Nov 20 at 18:23














up vote
6
down vote

favorite
1












If you think of matrix-vector multiplication geometrically as a linear transformation to a new coordinate system and matrix-matrix multiplication as the composition of two separate linear transformations, what does it mean to add two matrices together?



Would it make sense to think of it in terms of adding each basis vector separately to create a new set of basis vectors?










share|cite|improve this question









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hlinee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.















  • 1




    You can think of it as adding basis vectors. But beware that after the addition, the new set of vectors may not be independent any more.
    – P. Factor
    Nov 20 at 18:23












up vote
6
down vote

favorite
1









up vote
6
down vote

favorite
1






1





If you think of matrix-vector multiplication geometrically as a linear transformation to a new coordinate system and matrix-matrix multiplication as the composition of two separate linear transformations, what does it mean to add two matrices together?



Would it make sense to think of it in terms of adding each basis vector separately to create a new set of basis vectors?










share|cite|improve this question









New contributor




hlinee is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











If you think of matrix-vector multiplication geometrically as a linear transformation to a new coordinate system and matrix-matrix multiplication as the composition of two separate linear transformations, what does it mean to add two matrices together?



Would it make sense to think of it in terms of adding each basis vector separately to create a new set of basis vectors?







linear-algebra matrices






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edited Nov 20 at 18:22





















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asked Nov 20 at 18:17









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  • 1




    You can think of it as adding basis vectors. But beware that after the addition, the new set of vectors may not be independent any more.
    – P. Factor
    Nov 20 at 18:23












  • 1




    You can think of it as adding basis vectors. But beware that after the addition, the new set of vectors may not be independent any more.
    – P. Factor
    Nov 20 at 18:23







1




1




You can think of it as adding basis vectors. But beware that after the addition, the new set of vectors may not be independent any more.
– P. Factor
Nov 20 at 18:23




You can think of it as adding basis vectors. But beware that after the addition, the new set of vectors may not be independent any more.
– P. Factor
Nov 20 at 18:23










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Linearity works both ways. That is,
$$
(A+B)vecv = Avecv + Bvecv.
$$

Thus, you can think of the linear transformation defined by $A+B$ as applied to the vector $vecv$ as addition of the images under $A$ and $B$, separately, added together.






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    1 Answer
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    up vote
    6
    down vote



    accepted










    Linearity works both ways. That is,
    $$
    (A+B)vecv = Avecv + Bvecv.
    $$

    Thus, you can think of the linear transformation defined by $A+B$ as applied to the vector $vecv$ as addition of the images under $A$ and $B$, separately, added together.






    share|cite|improve this answer
























      up vote
      6
      down vote



      accepted










      Linearity works both ways. That is,
      $$
      (A+B)vecv = Avecv + Bvecv.
      $$

      Thus, you can think of the linear transformation defined by $A+B$ as applied to the vector $vecv$ as addition of the images under $A$ and $B$, separately, added together.






      share|cite|improve this answer






















        up vote
        6
        down vote



        accepted







        up vote
        6
        down vote



        accepted






        Linearity works both ways. That is,
        $$
        (A+B)vecv = Avecv + Bvecv.
        $$

        Thus, you can think of the linear transformation defined by $A+B$ as applied to the vector $vecv$ as addition of the images under $A$ and $B$, separately, added together.






        share|cite|improve this answer












        Linearity works both ways. That is,
        $$
        (A+B)vecv = Avecv + Bvecv.
        $$

        Thus, you can think of the linear transformation defined by $A+B$ as applied to the vector $vecv$ as addition of the images under $A$ and $B$, separately, added together.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 20 at 18:24









        Mark McClure

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