Chemical Dynamics/Electrostatics/Fourier Transforms: Difference between revisions

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The Fourier transform is a useful mathematical transformation often utilized in many scientific and engineering fields. Here we extract useful concepts of Fourier transformation and logically arrange them to form a foundation for the Ewald summation and other related methods in electrostatics. Readers could check out other more mathematically formal introduction of Fourier transform

Definition

We use the following convention in which the Fourier transform is a unitary transformation on the 3-D Cartesian space R3, the Fourier transform and its inverse transform are symmetric:

f^(𝐤)=1(2π)3/2f(𝐫)ei𝐤𝐫d3𝐫
f(𝐫)=1(2π)3/2f^(𝐤)ei𝐤𝐫d3𝐤

The translation theorem

Given a fixed position vector R0, if g(r) = ƒ(r − R0), then  

g^(𝐤)=ei𝐤𝐑0f^(𝐤).

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g^(𝐤)=1(2π)3/2g(𝐫)ei𝐤𝐫d3𝐫
=1(2π)3/2f(𝐫𝐑0)ei𝐤𝐫d3𝐫
=1(2π)3/2f(𝐫𝐑0)ei𝐤𝐫d3𝐫

Now, change r to a new variable by: 𝐫=𝐫𝐑0

g^(𝐤)=1(2π)3/2f(𝐫)ei𝐤(𝐫+𝐑0)d3𝐫
=1(2π)3/2ei𝐤𝐑0f(𝐫)ei𝐤𝐫d3𝐫
=1(2π)3/2ei𝐤𝐑0f(𝐫)ei𝐤𝐫d3𝐫
=ei𝐤𝐑0f^(𝐤).

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The convolution theorem

The convolution of f and g is usually denoted as fg, using an asterisk or star. It is defined as the integral of the product of the two functions after one is reversed and shifted:


(f*g)(t)=def f(τ)g(tτ)dτ


The convolution theorem for the Fourier transform says:

If

h(𝐫)=(f*g)(𝐫)

then

h^(𝐤)=f^(𝐤)g^(𝐤).

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h^(𝐤)=ei𝐤𝐫h(𝐫)d𝐫
=ei𝐤𝐫f(𝐫)g(𝐫𝐫)d3𝐫d3𝐫

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