Insightful proof for $UV^T = sum_{i=1}^n u_iv_i^T $












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Let $U = [u_1, u_2,dots ,u_n] in mathbb{R}^{mtimes n}$ with $u_i in mathbb{R}^m$ and $V = [v_1, v_2,dots ,v_n] in mathbb{R}^{ptimes n}$ with $v_i in mathbb{R}^p$. Then
$$UV^T = sum_{i=1}^n u_iv_i^T in mathbb{R}^{mtimes n} $$



I am trying to get more intuitive understanding of matrix multiplications (say thinking in terms of linear mapping) and for the above I know how to prove it using 'tedious' algebra but I am looking for more insightful proof that will illuminate the essence of the above identity.










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  • $begingroup$
    the matrix is in $mathbb R^{mtimes p}$
    $endgroup$
    – daw
    Dec 13 '18 at 7:31
















0












$begingroup$


Let $U = [u_1, u_2,dots ,u_n] in mathbb{R}^{mtimes n}$ with $u_i in mathbb{R}^m$ and $V = [v_1, v_2,dots ,v_n] in mathbb{R}^{ptimes n}$ with $v_i in mathbb{R}^p$. Then
$$UV^T = sum_{i=1}^n u_iv_i^T in mathbb{R}^{mtimes n} $$



I am trying to get more intuitive understanding of matrix multiplications (say thinking in terms of linear mapping) and for the above I know how to prove it using 'tedious' algebra but I am looking for more insightful proof that will illuminate the essence of the above identity.










share|cite|improve this question









$endgroup$












  • $begingroup$
    the matrix is in $mathbb R^{mtimes p}$
    $endgroup$
    – daw
    Dec 13 '18 at 7:31














0












0








0


1



$begingroup$


Let $U = [u_1, u_2,dots ,u_n] in mathbb{R}^{mtimes n}$ with $u_i in mathbb{R}^m$ and $V = [v_1, v_2,dots ,v_n] in mathbb{R}^{ptimes n}$ with $v_i in mathbb{R}^p$. Then
$$UV^T = sum_{i=1}^n u_iv_i^T in mathbb{R}^{mtimes n} $$



I am trying to get more intuitive understanding of matrix multiplications (say thinking in terms of linear mapping) and for the above I know how to prove it using 'tedious' algebra but I am looking for more insightful proof that will illuminate the essence of the above identity.










share|cite|improve this question









$endgroup$




Let $U = [u_1, u_2,dots ,u_n] in mathbb{R}^{mtimes n}$ with $u_i in mathbb{R}^m$ and $V = [v_1, v_2,dots ,v_n] in mathbb{R}^{ptimes n}$ with $v_i in mathbb{R}^p$. Then
$$UV^T = sum_{i=1}^n u_iv_i^T in mathbb{R}^{mtimes n} $$



I am trying to get more intuitive understanding of matrix multiplications (say thinking in terms of linear mapping) and for the above I know how to prove it using 'tedious' algebra but I am looking for more insightful proof that will illuminate the essence of the above identity.







linear-algebra matrices linear-transformations






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asked Dec 13 '18 at 4:38









hi15hi15

1456




1456












  • $begingroup$
    the matrix is in $mathbb R^{mtimes p}$
    $endgroup$
    – daw
    Dec 13 '18 at 7:31


















  • $begingroup$
    the matrix is in $mathbb R^{mtimes p}$
    $endgroup$
    – daw
    Dec 13 '18 at 7:31
















$begingroup$
the matrix is in $mathbb R^{mtimes p}$
$endgroup$
– daw
Dec 13 '18 at 7:31




$begingroup$
the matrix is in $mathbb R^{mtimes p}$
$endgroup$
– daw
Dec 13 '18 at 7:31










1 Answer
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$begingroup$

Think of it like this. You are constructing a matrix $Ainmathbb{R}^{mtimes n}$ via the product $A = UV^T$. $A$ is a linear map from $mathbb{R}^n$ to $mathbb{R}^m$, but by using this product, you are sort of taking a detour through $mathbb{R}^p$. The result of multiplying $UV^T$ times a vector $w$ will be a linear combination of the $p$ columns of $U$ (so the range of $A$ has dimension at most $p$) and the mapping from $w$ to which linear combination we take is controlled by $V^T$.






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    $begingroup$

    Think of it like this. You are constructing a matrix $Ainmathbb{R}^{mtimes n}$ via the product $A = UV^T$. $A$ is a linear map from $mathbb{R}^n$ to $mathbb{R}^m$, but by using this product, you are sort of taking a detour through $mathbb{R}^p$. The result of multiplying $UV^T$ times a vector $w$ will be a linear combination of the $p$ columns of $U$ (so the range of $A$ has dimension at most $p$) and the mapping from $w$ to which linear combination we take is controlled by $V^T$.






    share|cite|improve this answer









    $endgroup$


















      1












      $begingroup$

      Think of it like this. You are constructing a matrix $Ainmathbb{R}^{mtimes n}$ via the product $A = UV^T$. $A$ is a linear map from $mathbb{R}^n$ to $mathbb{R}^m$, but by using this product, you are sort of taking a detour through $mathbb{R}^p$. The result of multiplying $UV^T$ times a vector $w$ will be a linear combination of the $p$ columns of $U$ (so the range of $A$ has dimension at most $p$) and the mapping from $w$ to which linear combination we take is controlled by $V^T$.






      share|cite|improve this answer









      $endgroup$
















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        1








        1





        $begingroup$

        Think of it like this. You are constructing a matrix $Ainmathbb{R}^{mtimes n}$ via the product $A = UV^T$. $A$ is a linear map from $mathbb{R}^n$ to $mathbb{R}^m$, but by using this product, you are sort of taking a detour through $mathbb{R}^p$. The result of multiplying $UV^T$ times a vector $w$ will be a linear combination of the $p$ columns of $U$ (so the range of $A$ has dimension at most $p$) and the mapping from $w$ to which linear combination we take is controlled by $V^T$.






        share|cite|improve this answer









        $endgroup$



        Think of it like this. You are constructing a matrix $Ainmathbb{R}^{mtimes n}$ via the product $A = UV^T$. $A$ is a linear map from $mathbb{R}^n$ to $mathbb{R}^m$, but by using this product, you are sort of taking a detour through $mathbb{R}^p$. The result of multiplying $UV^T$ times a vector $w$ will be a linear combination of the $p$ columns of $U$ (so the range of $A$ has dimension at most $p$) and the mapping from $w$ to which linear combination we take is controlled by $V^T$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Dec 13 '18 at 4:53









        whpowell96whpowell96

        58115




        58115






























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