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Geometric Series

Recall that for any complex number $ z_1\in{\bf C}$, the signal

$\displaystyle x(n)\isdef z_1^n,\quad n=0,1,2,\ldots,
$

defines a geometric sequence, i.e., each term is obtained by multiplying the previous term by a (complex) constant. A geometric series is the sum of a geometric sequence:

$\displaystyle S_N(z_1) \isdef \sum_{n=0}^{N-1}z_1^n = 1 + z_1 + z_1^2 + z_1^3 + \cdots + z_1^{N-1}
$

If $ z_1\neq 1$, the sum can be expressed in closed form:

$\displaystyle \zbox {S_N(z_1) = \frac{1-z_1^N}{1-z_1}}$   $\displaystyle \mbox{($z_1\neq 1$)}$



Proof: We have

\begin{eqnarray*}
S_N(z_1) &\isdef & 1 + z_1 + z_1^2 + z_1^3 + \cdots + z_1^{N-1...
...) &=& 1-z_1^N \\
\;\implies\;S_N(z_1) &=& \frac{1-z_1^N}{1-z_1}
\end{eqnarray*}


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``Mathematics of the Discrete Fourier Transform (DFT), with Music and Audio Applications'', by Julius O. Smith III, W3K Publishing, 2003, ISBN 0-9745607-0-7.

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