Back to e^(j theta)

GUIDE: Mathematics of the Discrete Fourier Transform (DFT) - Julius O. Smith III. Back to e^(j theta)

It appears that you are using AdBlocking software. The cost of running this website is covered by advertisements. If you like it please feel free to a small amount of money to secure the future of this website.

NOTE: THIS DOCUMENT IS OBSOLETE, PLEASE CHECK THE NEW VERSION: "Mathematics of the Discrete Fourier Transform (DFT), with Audio Applications --- Second Edition", by Julius O. Smith III, W3K Publishing, 2007, ISBN 978-0-9745607-4-8. - Copyright © 2017-09-28 by Julius O. Smith III - Center for Computer Research in Music and Acoustics (CCRMA), Stanford University

<< Previous page  TOC  INDEX  Next page >>

Back to e^(j theta)

We've now defined $a^z$ for any positive real number $a$ and any complex number $z$. Setting $a=e$ and $z=j\ gives us the special case we need for Euler's identity. Since $e^z$ is its own derivative, the Taylor series expansion for for $f(x)=e^x$ is the simplest series there could be:

\

The simplicity comes about because $f^{(n)}(0)=1$ for all $n$ and because we chose to expand about the point $x=0$. We of course define
\

Note that all even order terms are real while all odd order terms are imaginary. Separating out the real and imaginary parts gives
\


Comparing the Maclaurin expansion for $e^{j\ with that of$\ and $\ proves Euler's identity. Recall that

\


so that
\


Plugging into the general Maclaurin series gives
\


Separating the Maclaurin expansion for $e^{j\ into its even and odd terms (real and imaginary parts) gives
\


thus proving Euler's identity.

<< Previous page  TOC  INDEX  Next page >>

 

© 1998-2023 – Nicola Asuni - Tecnick.com - All rights reserved.
about - disclaimer - privacy