Derivative of cumulative sum function












1












$begingroup$


A cumulative sum is a sequence of partial sums:



Applying a cumulative sum to ${a, b, c, d}$ gives ${a, a+b, a+b+c, a+b+c+d}$.



A more formal notation, the cumulative sum function takes an $N$-dimensional vector and produces another $N$-dimensional vector:



$C(a) : begin{bmatrix}a_1 \ vdots \a_Nend{bmatrix} xrightarrow{} begin{bmatrix}C_1 \vdots\C_Nend{bmatrix}$



For example:



$begin{bmatrix}1\2\4\5end{bmatrix} xrightarrow{} begin{bmatrix}1 \3\7\12\end{bmatrix}$



The per-element formula is:



$C_N = sum_{j=1}^N a_j$



Calculating the partial derivatives with respect to $a_i$ when $i = j$ and $i ne j$:



$i = j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 1$



and $i ne j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 0$



Does this look correct?










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    Welcome the Mathematics Stack Exchange community! Great question! A quick tour of the site will help you get the most of your time here.
    $endgroup$
    – dantopa
    Jan 11 at 6:08
















1












$begingroup$


A cumulative sum is a sequence of partial sums:



Applying a cumulative sum to ${a, b, c, d}$ gives ${a, a+b, a+b+c, a+b+c+d}$.



A more formal notation, the cumulative sum function takes an $N$-dimensional vector and produces another $N$-dimensional vector:



$C(a) : begin{bmatrix}a_1 \ vdots \a_Nend{bmatrix} xrightarrow{} begin{bmatrix}C_1 \vdots\C_Nend{bmatrix}$



For example:



$begin{bmatrix}1\2\4\5end{bmatrix} xrightarrow{} begin{bmatrix}1 \3\7\12\end{bmatrix}$



The per-element formula is:



$C_N = sum_{j=1}^N a_j$



Calculating the partial derivatives with respect to $a_i$ when $i = j$ and $i ne j$:



$i = j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 1$



and $i ne j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 0$



Does this look correct?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    Welcome the Mathematics Stack Exchange community! Great question! A quick tour of the site will help you get the most of your time here.
    $endgroup$
    – dantopa
    Jan 11 at 6:08














1












1








1





$begingroup$


A cumulative sum is a sequence of partial sums:



Applying a cumulative sum to ${a, b, c, d}$ gives ${a, a+b, a+b+c, a+b+c+d}$.



A more formal notation, the cumulative sum function takes an $N$-dimensional vector and produces another $N$-dimensional vector:



$C(a) : begin{bmatrix}a_1 \ vdots \a_Nend{bmatrix} xrightarrow{} begin{bmatrix}C_1 \vdots\C_Nend{bmatrix}$



For example:



$begin{bmatrix}1\2\4\5end{bmatrix} xrightarrow{} begin{bmatrix}1 \3\7\12\end{bmatrix}$



The per-element formula is:



$C_N = sum_{j=1}^N a_j$



Calculating the partial derivatives with respect to $a_i$ when $i = j$ and $i ne j$:



$i = j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 1$



and $i ne j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 0$



Does this look correct?










share|cite|improve this question











$endgroup$




A cumulative sum is a sequence of partial sums:



Applying a cumulative sum to ${a, b, c, d}$ gives ${a, a+b, a+b+c, a+b+c+d}$.



A more formal notation, the cumulative sum function takes an $N$-dimensional vector and produces another $N$-dimensional vector:



$C(a) : begin{bmatrix}a_1 \ vdots \a_Nend{bmatrix} xrightarrow{} begin{bmatrix}C_1 \vdots\C_Nend{bmatrix}$



For example:



$begin{bmatrix}1\2\4\5end{bmatrix} xrightarrow{} begin{bmatrix}1 \3\7\12\end{bmatrix}$



The per-element formula is:



$C_N = sum_{j=1}^N a_j$



Calculating the partial derivatives with respect to $a_i$ when $i = j$ and $i ne j$:



$i = j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 1$



and $i ne j$:



$frac{partial( sum_{j=1}^N a_j)}{partial a_i} = sum_{j=1}^N 0$



Does this look correct?







calculus differential






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edited Jan 11 at 6:11









Lee

330111




330111










asked Jan 11 at 6:04









user3564870user3564870

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  • 1




    $begingroup$
    Welcome the Mathematics Stack Exchange community! Great question! A quick tour of the site will help you get the most of your time here.
    $endgroup$
    – dantopa
    Jan 11 at 6:08














  • 1




    $begingroup$
    Welcome the Mathematics Stack Exchange community! Great question! A quick tour of the site will help you get the most of your time here.
    $endgroup$
    – dantopa
    Jan 11 at 6:08








1




1




$begingroup$
Welcome the Mathematics Stack Exchange community! Great question! A quick tour of the site will help you get the most of your time here.
$endgroup$
– dantopa
Jan 11 at 6:08




$begingroup$
Welcome the Mathematics Stack Exchange community! Great question! A quick tour of the site will help you get the most of your time here.
$endgroup$
– dantopa
Jan 11 at 6:08










1 Answer
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$begingroup$

$frac{partial C_N}{partial a_i}=frac{partial C_N}{partial a_j}=1$ if $C_N=a_1+cdots+a_N$ and $i,jin{1,2,cdots N}$ for both $i=j$ and $ineq j$.



$frac{partial C_N}{partial a_i}=0$ if $inotin{1,2,cdots,N}$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks Lee. I'm not so sure of it being 1 in all cases. Say $g_i$ = $a_j$, then the derivative of $g_i$ with respect to $a_j$ is 1 only if i = j, because that's the only time $g_i$ has $a_j$ in it. By the way, I'm modeling this after a similar derivation of the softmax function found at: eli.thegreenplace.net/2016/…
    $endgroup$
    – user3564870
    Jan 11 at 15:58











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1 Answer
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$begingroup$

$frac{partial C_N}{partial a_i}=frac{partial C_N}{partial a_j}=1$ if $C_N=a_1+cdots+a_N$ and $i,jin{1,2,cdots N}$ for both $i=j$ and $ineq j$.



$frac{partial C_N}{partial a_i}=0$ if $inotin{1,2,cdots,N}$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks Lee. I'm not so sure of it being 1 in all cases. Say $g_i$ = $a_j$, then the derivative of $g_i$ with respect to $a_j$ is 1 only if i = j, because that's the only time $g_i$ has $a_j$ in it. By the way, I'm modeling this after a similar derivation of the softmax function found at: eli.thegreenplace.net/2016/…
    $endgroup$
    – user3564870
    Jan 11 at 15:58
















0












$begingroup$

$frac{partial C_N}{partial a_i}=frac{partial C_N}{partial a_j}=1$ if $C_N=a_1+cdots+a_N$ and $i,jin{1,2,cdots N}$ for both $i=j$ and $ineq j$.



$frac{partial C_N}{partial a_i}=0$ if $inotin{1,2,cdots,N}$






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks Lee. I'm not so sure of it being 1 in all cases. Say $g_i$ = $a_j$, then the derivative of $g_i$ with respect to $a_j$ is 1 only if i = j, because that's the only time $g_i$ has $a_j$ in it. By the way, I'm modeling this after a similar derivation of the softmax function found at: eli.thegreenplace.net/2016/…
    $endgroup$
    – user3564870
    Jan 11 at 15:58














0












0








0





$begingroup$

$frac{partial C_N}{partial a_i}=frac{partial C_N}{partial a_j}=1$ if $C_N=a_1+cdots+a_N$ and $i,jin{1,2,cdots N}$ for both $i=j$ and $ineq j$.



$frac{partial C_N}{partial a_i}=0$ if $inotin{1,2,cdots,N}$






share|cite|improve this answer









$endgroup$



$frac{partial C_N}{partial a_i}=frac{partial C_N}{partial a_j}=1$ if $C_N=a_1+cdots+a_N$ and $i,jin{1,2,cdots N}$ for both $i=j$ and $ineq j$.



$frac{partial C_N}{partial a_i}=0$ if $inotin{1,2,cdots,N}$







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Jan 11 at 6:21









LeeLee

330111




330111












  • $begingroup$
    Thanks Lee. I'm not so sure of it being 1 in all cases. Say $g_i$ = $a_j$, then the derivative of $g_i$ with respect to $a_j$ is 1 only if i = j, because that's the only time $g_i$ has $a_j$ in it. By the way, I'm modeling this after a similar derivation of the softmax function found at: eli.thegreenplace.net/2016/…
    $endgroup$
    – user3564870
    Jan 11 at 15:58


















  • $begingroup$
    Thanks Lee. I'm not so sure of it being 1 in all cases. Say $g_i$ = $a_j$, then the derivative of $g_i$ with respect to $a_j$ is 1 only if i = j, because that's the only time $g_i$ has $a_j$ in it. By the way, I'm modeling this after a similar derivation of the softmax function found at: eli.thegreenplace.net/2016/…
    $endgroup$
    – user3564870
    Jan 11 at 15:58
















$begingroup$
Thanks Lee. I'm not so sure of it being 1 in all cases. Say $g_i$ = $a_j$, then the derivative of $g_i$ with respect to $a_j$ is 1 only if i = j, because that's the only time $g_i$ has $a_j$ in it. By the way, I'm modeling this after a similar derivation of the softmax function found at: eli.thegreenplace.net/2016/…
$endgroup$
– user3564870
Jan 11 at 15:58




$begingroup$
Thanks Lee. I'm not so sure of it being 1 in all cases. Say $g_i$ = $a_j$, then the derivative of $g_i$ with respect to $a_j$ is 1 only if i = j, because that's the only time $g_i$ has $a_j$ in it. By the way, I'm modeling this after a similar derivation of the softmax function found at: eli.thegreenplace.net/2016/…
$endgroup$
– user3564870
Jan 11 at 15:58


















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