Kolmogorov-Arnold representation theorem, but for symmetric functions

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I will use the following formulation of the Kolmogorov-Arnold theorem:
(Theorem) A continuous multivariate function $f$ can be expressed as
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i,j(x_j) right)
endalign
where $Phi, phi_i,j$ are all continuous
Define a "symmetric function" as a function of $m$ variable whose value given $m$ arguments is the same regardless of the order of the arguments.
For symmetric functions, can we prove something like:
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i(x_j) right)
endalign
Intuitively, it seems like it would hold because the symmetry of $f$ should eliminate the need for $phi$ to peek at the position ($j$) of the input $x_j$.
functional-analysis
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up vote
1
down vote
favorite
I will use the following formulation of the Kolmogorov-Arnold theorem:
(Theorem) A continuous multivariate function $f$ can be expressed as
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i,j(x_j) right)
endalign
where $Phi, phi_i,j$ are all continuous
Define a "symmetric function" as a function of $m$ variable whose value given $m$ arguments is the same regardless of the order of the arguments.
For symmetric functions, can we prove something like:
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i(x_j) right)
endalign
Intuitively, it seems like it would hold because the symmetry of $f$ should eliminate the need for $phi$ to peek at the position ($j$) of the input $x_j$.
functional-analysis
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I will use the following formulation of the Kolmogorov-Arnold theorem:
(Theorem) A continuous multivariate function $f$ can be expressed as
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i,j(x_j) right)
endalign
where $Phi, phi_i,j$ are all continuous
Define a "symmetric function" as a function of $m$ variable whose value given $m$ arguments is the same regardless of the order of the arguments.
For symmetric functions, can we prove something like:
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i(x_j) right)
endalign
Intuitively, it seems like it would hold because the symmetry of $f$ should eliminate the need for $phi$ to peek at the position ($j$) of the input $x_j$.
functional-analysis
I will use the following formulation of the Kolmogorov-Arnold theorem:
(Theorem) A continuous multivariate function $f$ can be expressed as
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i,j(x_j) right)
endalign
where $Phi, phi_i,j$ are all continuous
Define a "symmetric function" as a function of $m$ variable whose value given $m$ arguments is the same regardless of the order of the arguments.
For symmetric functions, can we prove something like:
beginalign
f(x_1, cdots, x_m) = sum_i=1^2m+1 Phi left( sum_j=1^m phi_i(x_j) right)
endalign
Intuitively, it seems like it would hold because the symmetry of $f$ should eliminate the need for $phi$ to peek at the position ($j$) of the input $x_j$.
functional-analysis
asked Aug 22 at 4:43
LYH
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