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.
linear-algebra matrices linear-transformations
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add a comment |
$begingroup$
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.
linear-algebra matrices linear-transformations
$endgroup$
$begingroup$
the matrix is in $mathbb R^{mtimes p}$
$endgroup$
– daw
Dec 13 '18 at 7:31
add a comment |
$begingroup$
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.
linear-algebra matrices linear-transformations
$endgroup$
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
linear-algebra matrices linear-transformations
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
add a comment |
$begingroup$
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
add a comment |
1 Answer
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oldest
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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 $V^T$.
$endgroup$
add a comment |
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1 Answer
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active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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 $V^T$.
$endgroup$
add a comment |
$begingroup$
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 $V^T$.
$endgroup$
add a comment |
$begingroup$
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 $V^T$.
$endgroup$
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 $V^T$.
answered Dec 13 '18 at 4:53
whpowell96whpowell96
58115
58115
add a comment |
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$begingroup$
the matrix is in $mathbb R^{mtimes p}$
$endgroup$
– daw
Dec 13 '18 at 7:31