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Harmonic exponentials; CTFS conjugate symmetry

Short answer

A periodic signal x(t) is represented by harmonically related exponentials: x(t)=∑ a_k e^{j k ω0 t}, with a_k=(1/T)∫_T x(t)e^{-j k ω0 t}dt. Conjugation: x*(t) ↔ a_{-k}^*. For real x(t), a_{-k}=a_k^*, giving even magnitude and odd phase.

How could you represent a signal x(t) with harmonically related exponentials? State and prove conjugation and conjugate symmetry property of CTFS.

Representation with harmonically related exponentials

Take a periodic signal x(t)x(t) with fundamental period TT and ω0=2π/T\omega_0 = 2\pi/T. The set of harmonically related complex exponentials

ϕk(t)=ejkω0t,k=0,±1,±2,…\phi_k(t) = e^{jk\omega_0 t}, \quad k = 0, \pm1, \pm2, \dots

are all periodic with period TT, since each frequency is an integer multiple of ω0\omega_0. The term for k=0k = 0 is the DC part, k=±1k = \pm1 are the fundamental components, and k=±Nk = \pm N are the NNth harmonics. A linear combination of them is periodic with period TT:

x(t)=∑k=−∞∞akejkω0t(synthesis equation)x(t) = \sum_{k=-\infty}^{\infty} a_k e^{jk\omega_0 t} \quad \text{(synthesis equation)}

The functions are orthogonal over one period: ∫Tejkω0te−jnω0tdt\int_T e^{jk\omega_0 t}e^{-jn\omega_0 t}dt equals TT when k=nk = n and 0 otherwise. Multiplying the synthesis equation by e−jnω0te^{-jn\omega_0 t} and integrating over TT therefore leaves only one term. This gives

ak=1T∫Tx(t)e−jkω0tdt(analysis equation)a_k = \frac{1}{T}\int_T x(t)e^{-jk\omega_0 t}dt \quad \text{(analysis equation)}

The series converges to x(t)x(t) when x(t)x(t) meets the Dirichlet conditions. Example: cos⁡ω0t=12ejω0t+12e−jω0t\cos\omega_0 t = \frac{1}{2}e^{j\omega_0 t} + \frac{1}{2}e^{-j\omega_0 t}, so a±1=1/2a_{\pm1} = 1/2.

Conjugation property

Statement: if x(t)↔FSakx(t) \xleftrightarrow{FS} a_k, then

x∗(t)↔FSa−k∗x^*(t) \xleftrightarrow{FS} a_{-k}^*

Proof: let bkb_k be the coefficients of x∗(t)x^*(t):

bk=1T∫Tx∗(t)e−jkω0tdt=[1T∫Tx(t)ejkω0tdt]∗=[1T∫Tx(t)e−j(−k)ω0tdt]∗=a−k∗b_k = \frac{1}{T}\int_T x^*(t)e^{-jk\omega_0 t}dt = \left[\frac{1}{T}\int_T x(t)e^{jk\omega_0 t}dt\right]^* = \left[\frac{1}{T}\int_T x(t)e^{-j(-k)\omega_0 t}dt\right]^* = a_{-k}^*

Conjugate symmetry property

Statement: if x(t)x(t) is real, its coefficients are conjugate symmetric:

a−k=ak∗a_{-k} = a_k^*

Proof: for a real signal x(t)=x∗(t)x(t) = x^*(t), so the two signals have the same coefficients: ak=bk=a−k∗a_k = b_k = a_{-k}^*. Taking the conjugate of both sides gives ak∗=a−ka_k^* = a_{-k}.

Consequences for real x(t)x(t):

  • ∣a−k∣=∣ak∣|a_{-k}| = |a_k|, so the magnitude spectrum is even.
  • ∠a−k=−∠ak\angle a_{-k} = -\angle a_k, so the phase spectrum is odd.
  • Re{ak}\mathrm{Re}\{a_k\} is even and Im{ak}\mathrm{Im}\{a_k\} is odd.
  • Real and even x(t)x(t) gives real, even aka_k. Real and odd x(t)x(t) gives purely imaginary, odd aka_k.

For example, sin⁡ω0t\sin\omega_0 t has a1=1/(2j)a_1 = 1/(2j) and a−1=−1/(2j)=a1∗a_{-1} = -1/(2j) = a_1^*.

✓ Answer checked by Claude Opus 5.5 (high effort)

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