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Vector Addition

Given two vectors in $ {\bf R}^N$, say

\begin{eqnarray*}
\underline{x}&\isdef & (x_0,x_1,\ldots,x_{N-1})\\
\underline{y}&\isdef & (y_0,y_1,\ldots,y_{N-1}),
\end{eqnarray*}

the vector sum is defined by elementwise addition. If we denote the sum by $ w\isdef x+y$, then we have $ w(n) = x(n)+y(n)$ for $ n=0,1,2,\ldots,N-1$.

The vector diagram for the sum of two vectors can be found using the parallelogram rule, as shown in Fig. 5.2 for $ N=2$, $ x=(2, 3)$, and $ y=(4,1)$.

Figure: Geometric interpretation of a length 2 vector sum.
\scalebox{0.7}{\includegraphics{eps/vecsum.eps}}

Also shown are the lighter construction lines which complete the parallelogram started by $ x$ and $ y$, indicating where the endpoint of the sum $ x+y$ lies. Since it is a parallelogram, the two construction lines are congruent to the vectors $ x$ and $ y$. As a result, the vector sum is often expressed as a triangle by translating the origin of one member of the sum to the tip of the other, as shown in Fig. 5.3.

Figure: Vector sum, translating one vector to the tip of the other.
\scalebox{0.7}{\includegraphics{eps/vecsumr.eps}}

In the figure, $ x$ was translated to the tip of $ y$. It is equally valid to translate $ y$ to the tip of $ x$, because vector addition is commutative, i.e., $ x+y$ = $ y+x$.


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

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Copyright © 2003-10-09 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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