Rigrous justification of this eqality.
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Could anyone help me justify this equality?
$$frac1(2pi)^d/2int_mathbbT^d sum_xi in mathbbZ^d mathcalF^-1u(x+2pixi)e^ -ilangle x+2pi xi, y rangle dx = frac1(2pi)^d/2 int_mathbbR^d mathcalF^-1u(x)e^-i langle x,y rangledx$$
where $ langle . , . rangle$ is the dot product and $mathcalF^-1$ is the inverse Fourier transform from $ mathcalS(mathbbR^d) $ to $ mathcalS(mathbbR^d) $. More fundamentally I am not familiar with integration over the torus. In particular, I am not sure what is the appropriate measure in integrate over, in the sense that that if $ f: mathbbT^d rightarrow mathbbR$ is defined on the d - torus, then whether we have
$$ int_mathbbT^d f(t) dt = int_[0,1)^df(x)dx,$$
if so, where can I find a precise argument justifying this equality?
Thanks!
measure-theory fourier-analysis
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Could anyone help me justify this equality?
$$frac1(2pi)^d/2int_mathbbT^d sum_xi in mathbbZ^d mathcalF^-1u(x+2pixi)e^ -ilangle x+2pi xi, y rangle dx = frac1(2pi)^d/2 int_mathbbR^d mathcalF^-1u(x)e^-i langle x,y rangledx$$
where $ langle . , . rangle$ is the dot product and $mathcalF^-1$ is the inverse Fourier transform from $ mathcalS(mathbbR^d) $ to $ mathcalS(mathbbR^d) $. More fundamentally I am not familiar with integration over the torus. In particular, I am not sure what is the appropriate measure in integrate over, in the sense that that if $ f: mathbbT^d rightarrow mathbbR$ is defined on the d - torus, then whether we have
$$ int_mathbbT^d f(t) dt = int_[0,1)^df(x)dx,$$
if so, where can I find a precise argument justifying this equality?
Thanks!
measure-theory fourier-analysis
What is the link between $d$ and $n$ ?
– Delta-u
Aug 3 at 10:08
This is a typo. The dimensions are meant to be the same and the Fourier transform is just on $ mathbbR^d $. I apologise.
– Meagain
Aug 3 at 10:25
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Could anyone help me justify this equality?
$$frac1(2pi)^d/2int_mathbbT^d sum_xi in mathbbZ^d mathcalF^-1u(x+2pixi)e^ -ilangle x+2pi xi, y rangle dx = frac1(2pi)^d/2 int_mathbbR^d mathcalF^-1u(x)e^-i langle x,y rangledx$$
where $ langle . , . rangle$ is the dot product and $mathcalF^-1$ is the inverse Fourier transform from $ mathcalS(mathbbR^d) $ to $ mathcalS(mathbbR^d) $. More fundamentally I am not familiar with integration over the torus. In particular, I am not sure what is the appropriate measure in integrate over, in the sense that that if $ f: mathbbT^d rightarrow mathbbR$ is defined on the d - torus, then whether we have
$$ int_mathbbT^d f(t) dt = int_[0,1)^df(x)dx,$$
if so, where can I find a precise argument justifying this equality?
Thanks!
measure-theory fourier-analysis
Could anyone help me justify this equality?
$$frac1(2pi)^d/2int_mathbbT^d sum_xi in mathbbZ^d mathcalF^-1u(x+2pixi)e^ -ilangle x+2pi xi, y rangle dx = frac1(2pi)^d/2 int_mathbbR^d mathcalF^-1u(x)e^-i langle x,y rangledx$$
where $ langle . , . rangle$ is the dot product and $mathcalF^-1$ is the inverse Fourier transform from $ mathcalS(mathbbR^d) $ to $ mathcalS(mathbbR^d) $. More fundamentally I am not familiar with integration over the torus. In particular, I am not sure what is the appropriate measure in integrate over, in the sense that that if $ f: mathbbT^d rightarrow mathbbR$ is defined on the d - torus, then whether we have
$$ int_mathbbT^d f(t) dt = int_[0,1)^df(x)dx,$$
if so, where can I find a precise argument justifying this equality?
Thanks!
measure-theory fourier-analysis
edited Aug 3 at 10:26
asked Aug 3 at 6:29
Meagain
1279
1279
What is the link between $d$ and $n$ ?
– Delta-u
Aug 3 at 10:08
This is a typo. The dimensions are meant to be the same and the Fourier transform is just on $ mathbbR^d $. I apologise.
– Meagain
Aug 3 at 10:25
add a comment |Â
What is the link between $d$ and $n$ ?
– Delta-u
Aug 3 at 10:08
This is a typo. The dimensions are meant to be the same and the Fourier transform is just on $ mathbbR^d $. I apologise.
– Meagain
Aug 3 at 10:25
What is the link between $d$ and $n$ ?
– Delta-u
Aug 3 at 10:08
What is the link between $d$ and $n$ ?
– Delta-u
Aug 3 at 10:08
This is a typo. The dimensions are meant to be the same and the Fourier transform is just on $ mathbbR^d $. I apologise.
– Meagain
Aug 3 at 10:25
This is a typo. The dimensions are meant to be the same and the Fourier transform is just on $ mathbbR^d $. I apologise.
– Meagain
Aug 3 at 10:25
add a comment |Â
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What is the link between $d$ and $n$ ?
– Delta-u
Aug 3 at 10:08
This is a typo. The dimensions are meant to be the same and the Fourier transform is just on $ mathbbR^d $. I apologise.
– Meagain
Aug 3 at 10:25