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chapter_3.3.lyx
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#LyX 2.0 created this file. For more info see http://www.lyx.org/
\lyxformat 413
\begin_document
\begin_header
\textclass scrbook
\begin_preamble
\setcounter{chapter}{3}
\usepackage{graphicx}
\usepackage{pict2e}
\usepackage{graphpap}
\usepackage{color}
\usepackage{bm}
\end_preamble
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\end_header
\begin_body
\begin_layout Section
The Fourier Transform
\end_layout
\begin_layout Standard
Up to now, we looked at functions on a fixed interval (for convenience,
\begin_inset Formula $[-\pi,\pi]$
\end_inset
), and their representation as a Fourier Series, i.e.
as a linear combinations of sines and cosines, where the period of each
sine is an integer multiple of the base frequency
\begin_inset Formula $\frac{1}{2\pi},$
\end_inset
i.e.
the frequencies are
\begin_inset Formula $\frac{1}{2\pi},$
\end_inset
\begin_inset Formula $\frac{2}{2\pi},$
\end_inset
\begin_inset Formula $\frac{3}{2\pi},$
\end_inset
etc...
If we want to look at multiple functions at the same times, this is a somewhat
annoying restriction.
For example, one can not find an interval on which both
\begin_inset Formula $f(x)=$
\end_inset
\begin_inset Formula $\sin(\sqrt{2}x)$
\end_inset
and
\begin_inset Formula $g(x)=\sin(x)$
\end_inset
have
\begin_inset Quotes eld
\end_inset
simple
\begin_inset Quotes erd
\end_inset
Fourier Series.
If we choose the interval
\begin_inset Formula $[-\pi,\pi]$
\end_inset
, then the Fourier Series of
\begin_inset Formula $f(x)$
\end_inset
is quite complicated, and has non-zero coefficients at all frequencies,
as
\begin_inset Formula $\sqrt{2}$
\end_inset
is not an integer.
\end_layout
\begin_layout Standard
One way around this problem is to use the
\emph on
Fourier Transform
\emph default
, rather than the
\emph on
Fourier Series
\emph default
, to represent a function in the frequency domain.
We get rid of the fixed interval
\begin_inset Formula $[-T,T]$
\end_inset
by letting
\begin_inset Formula $T\rightarrow\infty,$
\end_inset
and by that, the sum
\family roman
\series medium
\shape up
\size normal
\emph off
\bar no
\noun off
\color none
\begin_inset Formula $\sum_{k=-\infty}^{\infty}c_{k}e^{ikx}$
\end_inset
over discrete coefficients
\begin_inset Formula $c_{k}$
\end_inset
turns into an integral over the
\family default
\series default
\shape default
\size default
\emph on
\bar default
\noun default
\color inherit
spectral densities
\begin_inset Formula $c(\omega),$
\end_inset
\emph default
for any real-valued frequency
\begin_inset Formula $\omega\in\mathbb{R}.$
\end_inset
\end_layout
\begin_layout Standard
Thus, we can write
\begin_inset Formula
\[
f(x)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}c(w)e^{ixw}dx,
\]
\end_inset
where
\begin_inset Formula $c(w)$
\end_inset
is the
\emph on
Fourier Transform
\emph default
of
\begin_inset Formula $f(x),$
\end_inset
which is often written as
\begin_inset Formula $\hat{f}(w)$
\end_inset
.
Conversely,
\begin_inset Formula $f(x)$
\end_inset
is the
\emph on
Inverse Fourier Transform
\emph default
of
\begin_inset Formula $c(w).$
\end_inset
\begin_inset Formula $f(x)$
\end_inset
and
\begin_inset Formula $c(w)$
\end_inset
are sometimes referred to as a
\emph on
Fourier Transform Pair
\emph default
.
\end_layout
\begin_layout Standard
We can calculate the Fourier Transform of any function
\begin_inset Formula $f(x)$
\end_inset
by
\end_layout
\begin_layout Standard
\begin_inset Formula
\[
\hat{f}(w)=\frac{1}{\sqrt{2\pi}}\int_{-\infty}^{\infty}f(x)e^{-iwx}dx,
\]
\end_inset
\end_layout
\begin_layout Standard
provided that this integral exists.
The notations and conventions can be ambiguous and vary between different
communities : The FT is also sometimes defined by
\begin_inset Formula $\hat{f}(w)=\int_{-\infty}^{\infty}f(x)e^{-i\omega x}dx$
\end_inset
or by
\begin_inset Formula $\hat{f}(w)=\int_{-\infty}^{\infty}f(x)e^{-2\pi i\omega x}dx.$
\end_inset
These different conventions don't, in principle, matter, but one has to
be careful not to be confused or get results which are off by, say, a factor
of
\begin_inset Formula $2\pi.$
\end_inset
\end_layout
\begin_layout Standard
In practice, we can rarely use
\begin_inset Quotes eld
\end_inset
actual
\begin_inset Quotes erd
\end_inset
functions
\begin_inset Formula $f(x),$
\end_inset
but rather have to work with discrete approximations, i.e.
\begin_inset Formula $f(x)$
\end_inset
is only given by a finite set of functions values
\begin_inset Formula $f_{1},$
\end_inset
\begin_inset Formula $f_{2},$
\end_inset
\begin_inset Formula $\ldots,f_{n}$
\end_inset
In this case, one should use the
\emph on
Discrete Fourier Transform
\emph default
, which is defined to be the vector with
\begin_inset Formula $m-th$
\end_inset
entry
\begin_inset Formula
\[
\hat{f}_{m}=\sum_{k=1}^{n-1}f_{k}e^{-\frac{2\pi i}{n}km}.
\]
\end_inset
\end_layout
\begin_layout Standard
Sometimes, one can read sentences like
\begin_inset Quotes eld
\end_inset
Figure X shows the Fast Fourier Transform of data Y
\begin_inset Quotes erd
\end_inset
in papers.
This is slight nonsense, as the Fast Fourier Transform is an
\emph on
algorithm
\emph default
for computing the DFT, and not something one could plot.
Of course, they mean that the DFT of the data is shown.
\end_layout
\begin_layout Standard
\end_layout
\end_body
\end_document