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Convolution property of DTFS

Short answer

For periodic signals x[n] and y[n] with period N and FS coefficients a_k and b_k, their periodic convolution z[n] = Σ_r x[r] y[n−r] has coefficients c_k = N a_k b_k. The proof substitutes the convolution sum into the analysis equation and uses orthogonality of exponentials.

State and prove convolution property of discrete time periodic signals.

Statement

Let x[n]x[n] and y[n]y[n] be periodic with the same period NN, with x[n]⟷FSakx[n] \overset{FS}{\longleftrightarrow} a_k and y[n]⟷FSbky[n] \overset{FS}{\longleftrightarrow} b_k. Their periodic convolution

z[n]=∑r=⟨N⟩x[r] y[n−r]z[n] = \sum_{r=\langle N\rangle}x[r]\,y[n - r]

is periodic with period NN, and

z[n]⟷FSck=Nakbkz[n] \overset{FS}{\longleftrightarrow} c_k = N a_k b_k

Convolution in time becomes multiplication of coefficients.

Proof

With ω0=2π/N\omega_0 = 2\pi/N:

ck=1N∑n=⟨N⟩z[n]e−jkω0n=1N∑n=⟨N⟩∑r=⟨N⟩x[r] y[n−r] e−jkω0n=1N∑r=⟨N⟩x[r] e−jkω0r∑n=⟨N⟩y[n−r] e−jkω0(n−r)\begin{aligned} c_k &= \frac{1}{N}\sum_{n=\langle N\rangle}z[n]e^{-jk\omega_0 n} = \frac{1}{N}\sum_{n=\langle N\rangle}\sum_{r=\langle N\rangle}x[r]\,y[n-r]\,e^{-jk\omega_0 n} \\ &= \frac{1}{N}\sum_{r=\langle N\rangle}x[r]\,e^{-jk\omega_0 r}\sum_{n=\langle N\rangle}y[n-r]\,e^{-jk\omega_0(n-r)} \end{aligned}

Put m=n−rm = n - r; since yy is periodic, mm still runs over one full period, so the inner sum is ∑m=⟨N⟩y[m]e−jkω0m=Nbk\sum_{m=\langle N\rangle}y[m]e^{-jk\omega_0 m} = N b_k. Then

ck=1N∑r=⟨N⟩x[r]e−jkω0r⋅Nbk=N ak bkc_k = \frac{1}{N}\sum_{r=\langle N\rangle}x[r]e^{-jk\omega_0 r}\cdot N b_k = N\,a_k\,b_k

Hence ∑r=⟨N⟩x[r]y[n−r]⟷FSNakbk\sum_{r=\langle N\rangle}x[r]y[n-r] \overset{FS}{\longleftrightarrow} N a_k b_k. (The dual property: multiplication x[n]y[n]x[n]y[n] gives the periodic convolution of coefficients ∑l=⟨N⟩albk−l\sum_{l=\langle N\rangle}a_l b_{k-l}.)

✓ Answer checked by Claude Opus 5.5 (high effort)

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