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Parseval's relation for DTFS

Short answer

Parseval's relation: (1/N)∑|x[n]|^2 = ∑|a_k|^2 over one period of N. Proof: write |x|^2=x x*, substitute conjugate synthesis, swap sums, and recognize the inner sum as N a_k, yielding sum of |a_k|^2.

State and prove Parseval's relation for Discrete Time Fourier Series (discrete time periodic signals).

Parseval's relation for the DTFS: the average power of a discrete-time periodic signal over one period equals the sum of the squared magnitudes of its Fourier series coefficients:

1N∑n=⟨N⟩∣x[n]∣2=∑k=⟨N⟩∣ak∣2\frac{1}{N}\sum_{n=\langle N\rangle}|x[n]|^2 = \sum_{k=\langle N\rangle}|a_k|^2

Here x[n]x[n] has period NN, ω0=2π/N\omega_0 = 2\pi/N, and

x[n]=∑k=⟨N⟩akejkω0n,ak=1N∑n=⟨N⟩x[n]e−jkω0nx[n] = \sum_{k=\langle N\rangle} a_k e^{jk\omega_0 n}, \qquad a_k = \frac{1}{N}\sum_{n=\langle N\rangle}x[n]e^{-jk\omega_0 n}

Proof

Start from the left side and write ∣x[n]∣2=x[n] x∗[n]|x[n]|^2 = x[n]\,x^*[n]:

1N∑n=⟨N⟩∣x[n]∣2=1N∑n=⟨N⟩x[n] x∗[n]\frac{1}{N}\sum_{n=\langle N\rangle}|x[n]|^2 = \frac{1}{N}\sum_{n=\langle N\rangle}x[n]\,x^*[n]

Replace x∗[n]x^*[n] by the conjugate of the synthesis equation, x∗[n]=∑k=⟨N⟩ak∗e−jkω0nx^*[n] = \sum_{k=\langle N\rangle}a_k^* e^{-jk\omega_0 n}:

1N∑n∣x[n]∣2=1N∑n=⟨N⟩x[n]∑k=⟨N⟩ak∗e−jkω0n=∑k=⟨N⟩ak∗[1N∑n=⟨N⟩x[n]e−jkω0n]=∑k=⟨N⟩ak∗ ak=∑k=⟨N⟩∣ak∣2\begin{aligned} \frac{1}{N}\sum_{n}|x[n]|^2 &= \frac{1}{N}\sum_{n=\langle N\rangle}x[n]\sum_{k=\langle N\rangle}a_k^* e^{-jk\omega_0 n} \\ &= \sum_{k=\langle N\rangle}a_k^*\left[\frac{1}{N}\sum_{n=\langle N\rangle}x[n]e^{-jk\omega_0 n}\right] \\ &= \sum_{k=\langle N\rangle}a_k^*\, a_k \\ &= \sum_{k=\langle N\rangle}|a_k|^2 \end{aligned}

The bracket is exactly the analysis equation for aka_k, which completes the proof.

Meaning

  • ∣ak∣2|a_k|^2 is the average power in the kkth harmonic akejkω0na_k e^{jk\omega_0 n}, because ∣ejkω0n∣=1|e^{jk\omega_0 n}| = 1.
  • So total average power = sum of powers of the NN harmonic components; power can be computed in either the time or the frequency domain.
  • Only NN distinct coefficients exist (ak+N=aka_{k+N} = a_k), so the sum is finite.

Example: x[n]=cos⁡(πn/2)x[n] = \cos(\pi n/2), N=4N = 4: a1=a−1=a3=1/2a_1 = a_{-1} = a_3 = 1/2. Time domain: samples 1,0,−1,01, 0, -1, 0 give 14(1+0+1+0)=0.5\frac{1}{4}(1 + 0 + 1 + 0) = 0.5. Frequency domain: ∣a1∣2+∣a−1∣2=0.25+0.25=0.5|a_1|^2 + |a_{-1}|^2 = 0.25 + 0.25 = 0.5. Both agree.

✓ Answer checked by Claude Opus 5.5 (high effort)

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