# Determining Fourier Series coefficient for Discrete time

I am trying to solve the proof for determining the Fourier series representation of a periodic signal. I understand fourier series equation for Discrete time which is $$x[n] = \sum^{}_{k=<N>} a_k e^{jk\omega_0n}$$ In order to find the Fourier series coefficient we multiply both side by $e^{-jr(2\pi/N)n}$ and summation over N terms, That is: $$\sum^{}_{n=<N>} x[n] e^{-jr(2\pi/N)n} = \sum^{}_{n=<N>} \sum^{}_{k=<N>} a_k e^{j(k-r)(2\pi/N)n}$$

After that i couldn't understand how can we get the final term: $$a_r = \frac{1}{N} \sum^{}_{n=<N>} x[n]e^{jr(2\pi/N)n}$$

Please, anyone, help me to understand this

• Does your $\sum_{n=<N>}$ simply mean $\sum_{n=1}^{N}$ ? Oct 15, 2015 at 21:46
• @Gilles I have no idea about that.. Oct 16, 2015 at 3:01
• In the second equation, should the $0$ on top of your summation be there ? Oct 16, 2015 at 8:13
• No it shouldn't be there... i just changed Oct 16, 2015 at 8:57

In the formula displayed for $x[n]$, the exponentials $e^{jk\omega_0 n}$ should be $e^{-jk\omega_0 n}$. I'm assuming that the sum $\sum\limits_{n = \langle N\rangle}$ is extended over all integers $n$ from $0$ to $N-1$. Fix $r\in \{0,\ldots, N-1\}$. Then

$$\sum_{n = \langle N\rangle}x[n]e^{jr\omega_0 n} = \sum_{n = \langle N\rangle}\sum_{k = \langle N\rangle}a_ke^{-jk\omega_0 n}e^{jr\omega_0 n} = \sum_{k = \langle N\rangle} a_k \sum_{n = \langle N\rangle} e^{j(r-k)\omega_0 n}.\tag{*}$$

If $k = r$, then each of the terms $e^{j(r-k)\omega_0 n}$ equals $1$, in which case

$$\sum_{n = \langle N\rangle} e^{j(r-k)\omega_0 n} = N.$$

If $k \neq r$, let $z = e^{j(r-k)\omega_0}$. Then $z\neq 1$ and $z^N = e^{2\pi j(r-k)n} = 1$. Thus

$$\sum_{n = \langle N\rangle} e^{j(r-k)\omega_0 n} = \sum_{n = \langle N\rangle} z^n = \frac{1 - z^N}{1 - z} = 0.$$

In summary,

$$\sum_{n = \langle N\rangle} e^{j(r-k)\omega_0 n} = N\delta_{k,r}.$$

Therefore,

$$\sum_{k = \langle N\rangle} a_k \sum_{n = \langle N\rangle} e^{j(r-k)\omega_0 n} = \sum_{k = \langle N \rangle} a_k (N\delta_{k,r}) = N\sum_{k = \langle N\rangle} a_k \delta_{k,r} = Na_r.\tag{**}$$

Combining (*) and (**),

$$Na_r = \sum_{n = \langle N\rangle} x[n]e^{jr\omega_0 n} = \sum_{n = \langle N\rangle}x[n]e^{jr(2\pi/N)n}.$$

Hence

$$a_r = \frac{1}{N}\sum_{n = \langle N\rangle} x[n]e^{jr(2\pi/N)n}.$$