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Determine the Fourier series representations for the given signals in Figure P3.22(a) and (b).

Mathematics

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The problem asks to determine the Fourier series representations for the given signals.

Part (a): The signal x(t)x(t) in Figure P3.22(a) is a sawtooth wave.
From the figure, we can observe that the signal is periodic with period T=2T = 2.
In one period, for example from t=−1t = -1 to t=1t = 1, the signal can be described by a straight line passing through (−1,−1)(-1, -1) and (1,1)(1, 1).
The equation of this line is x(t)=tx(t) = t for −1<t<1-1 < t < 1.
The fundamental angular frequency is ω0=2πT=2π2=π\omega_0 = \frac{2\pi}{T} = \frac{2\pi}{2} = \pi.

The Fourier series representation for a periodic signal x(t)x(t) is given by:

x(t)=∑k=−∞∞akejkω0tx(t) = \sum_{k=-\infty}^{\infty} a_k e^{jk\omega_0 t}

where the Fourier coefficients aka_k are calculated as:

ak=1T∫Tx(t)e−jkω0tdta_k = \frac{1}{T} \int_{T} x(t) e^{-jk\omega_0 t} dt
  1. Calculate the DC component a0a_0.

    For k=0k=0, the coefficient a0a_0 is the average value of the signal over one period.

    a0=1T∫−T/2T/2x(t)dt=12∫−11t dta_0 = \frac{1}{T} \int_{-T/2}^{T/2} x(t) dt = \frac{1}{2} \int_{-1}^{1} t \, dt a0=12[t22]−11=12(122−(−1)22)=12(12−12)=0a_0 = \frac{1}{2} \left[ \frac{t^2}{2} \right]_{-1}^{1} = \frac{1}{2} \left( \frac{1^2}{2} - \frac{(-1)^2}{2} \right) = \frac{1}{2} \left( \frac{1}{2} - \frac{1}{2} \right) = 0
  2. Calculate the Fourier coefficients aka_k for k≠0k \neq 0.

    ak=12∫−11te−jkπtdta_k = \frac{1}{2} \int_{-1}^{1} t e^{-jk\pi t} dt

    We use integration by parts, ∫u dv=uv−∫v du\int u \, dv = uv - \int v \, du.
    Let u=tu = t and dv=e−jkπtdtdv = e^{-jk\pi t} dt.
    Then du=dtdu = dt and v=∫e−jkπtdt=e−jkπt−jkπv = \int e^{-jk\pi t} dt = \frac{e^{-jk\pi t}}{-jk\pi}.

    ak=12[te−jkπt−jkπ]−11−12∫−11e−jkπt−jkπdta_k = \frac{1}{2} \left[ t \frac{e^{-jk\pi t}}{-jk\pi} \right]_{-1}^{1} - \frac{1}{2} \int_{-1}^{1} \frac{e^{-jk\pi t}}{-jk\pi} dt ak=12[e−jkπ−jkπ−(−1)ejkπ−jkπ]−12(−jkπ)∫−11e−jkπtdta_k = \frac{1}{2} \left[ \frac{e^{-jk\pi}}{-jk\pi} - \frac{(-1)e^{jk\pi}}{-jk\pi} \right] - \frac{1}{2(-jk\pi)} \int_{-1}^{1} e^{-jk\pi t} dt

    We know that ejkπ=(−1)ke^{jk\pi} = (-1)^k and e−jkπ=(−1)ke^{-jk\pi} = (-1)^k.

    ak=12[(−1)k−jkπ+(−1)k−jkπ]+12jkπ[e−jkπt−jkπ]−11a_k = \frac{1}{2} \left[ \frac{(-1)^k}{-jk\pi} + \frac{(-1)^k}{-jk\pi} \right] + \frac{1}{2jk\pi} \left[ \frac{e^{-jk\pi t}}{-jk\pi} \right]_{-1}^{1} ak=12[2(−1)k−jkπ]+12jkπ[e−jkπ−ejkπ−jkπ]a_k = \frac{1}{2} \left[ \frac{2(-1)^k}{-jk\pi} \right] + \frac{1}{2jk\pi} \left[ \frac{e^{-jk\pi} - e^{jk\pi}}{-jk\pi} \right] ak=(−1)k−jkπ+12jkπ[(−1)k−(−1)k−jkπ]a_k = \frac{(-1)^k}{-jk\pi} + \frac{1}{2jk\pi} \left[ \frac{(-1)^k - (-1)^k}{-jk\pi} \right] ak=(−1)k−jkπ+12jkπ[0]a_k = \frac{(-1)^k}{-jk\pi} + \frac{1}{2jk\pi} \left[ 0 \right] ak=(−1)k−jkπ=j(−1)kkπa_k = \frac{(-1)^k}{-jk\pi} = \frac{j(-1)^k}{k\pi}
  3. Write the Fourier series representation for x(t)x(t) in Figure P3.22(a).

    x(t)=∑k=−∞,k≠0∞j(−1)kkπejkπtx(t) = \sum_{k=-\infty, k \neq 0}^{\infty} \frac{j(-1)^k}{k\pi} e^{jk\pi t}

    The signal is an odd function, so a0=0a_0 = 0 and ak=−a−ka_k = -a_{-k}.
    We can also express this using sine terms:

    x(t)=∑k=1∞2(−1)k+1kπsin⁡(kπt)x(t) = \sum_{k=1}^{\infty} \frac{2(-1)^{k+1}}{k\pi} \sin(k\pi t)

    Part (b): The signal x(t)x(t) in Figure P3.22(b) is a periodic trapezoidal wave.
    From the figure, we can observe that the signal is periodic with period T=6T = 6.
    The fundamental angular frequency is ω0=2πT=2π6=π3\omega_0 = \frac{2\pi}{T} = \frac{2\pi}{6} = \frac{\pi}{3}.
    We can define one period of the signal from t=−3t = -3 to t=3t = 3.
    The signal is an even function, so aka_k will be real and ak=a−ka_k = a_{-k}.
    The coefficients bkb_k in the trigonometric Fourier series will be zero.
    The function x(t)x(t) over one period (e.g., from t=−3t=-3 to t=3t=3) can be described as:

    x(t)={0−3≤t<−2t+2−2≤t<−11−1≤t<1−t+21≤t<202≤t≤3x(t) = \begin{cases} 0 & -3 \le t < -2 \\ t+2 & -2 \le t < -1 \\ 1 & -1 \le t < 1 \\ -t+2 & 1 \le t < 2 \\ 0 & 2 \le t \le 3 \end{cases}
  4. Calculate the DC component a0a_0.

    a0=1T∫−T/2T/2x(t)dt=16∫−33x(t)dta_0 = \frac{1}{T} \int_{-T/2}^{T/2} x(t) dt = \frac{1}{6} \int_{-3}^{3} x(t) dt a0=16(∫−2−1(t+2)dt+∫−111 dt+∫12(−t+2)dt)a_0 = \frac{1}{6} \left( \int_{-2}^{-1} (t+2) dt + \int_{-1}^{1} 1 \, dt + \int_{1}^{2} (-t+2) dt \right) a0=16([t22+2t]−2−1+[t]−11+[−t22+2t]12)a_0 = \frac{1}{6} \left( \left[ \frac{t^2}{2} + 2t \right]_{-2}^{-1} + \left[ t \right]_{-1}^{1} + \left[ -\frac{t^2}{2} + 2t \right]_{1}^{2} \right) a0=16(((12−2)−(42−4))+(1−(−1))+((−42+4)−(−12+2)))a_0 = \frac{1}{6} \left( \left( \left(\frac{1}{2} - 2\right) - \left(\frac{4}{2} - 4\right) \right) + (1 - (-1)) + \left( \left(-\frac{4}{2} + 4\right) - \left(-\frac{1}{2} + 2\right) \right) \right) a0=16((−32−(−2))+2+((2)−(32)))a_0 = \frac{1}{6} \left( \left( -\frac{3}{2} - (-2) \right) + 2 + \left( (2) - \left(\frac{3}{2}\right) \right) \right) a0=16((−32+42)+2+(42−32))a_0 = \frac{1}{6} \left( \left( -\frac{3}{2} + \frac{4}{2} \right) + 2 + \left( \frac{4}{2} - \frac{3}{2} \right) \right) a0=16(12+2+12)=16(1+2)=36=12a_0 = \frac{1}{6} \left( \frac{1}{2} + 2 + \frac{1}{2} \right) = \frac{1}{6} (1 + 2) = \frac{3}{6} = \frac{1}{2}
  5. Calculate the Fourier coefficients aka_k for k≠0k \neq 0.

    Since x(t)x(t) is an even function, ak=2T∫0T/2x(t)cos⁡(kω0t)dta_k = \frac{2}{T} \int_{0}^{T/2} x(t) \cos(k\omega_0 t) dt.

    ak=26∫03x(t)e−jkπ3tdt=13(∫011⋅e−jkπ3tdt+∫12(−t+2)e−jkπ3tdt)a_k = \frac{2}{6} \int_{0}^{3} x(t) e^{-jk\frac{\pi}{3} t} dt = \frac{1}{3} \left( \int_{0}^{1} 1 \cdot e^{-jk\frac{\pi}{3} t} dt + \int_{1}^{2} (-t+2) e^{-jk\frac{\pi}{3} t} dt \right)

    Alternatively, using the cosine form for even functions:

    ak=2T∫0T/2x(t)cos⁡(kω0t)dt=26(∫011⋅cos⁡(kπ3t)dt+∫12(−t+2)cos⁡(kπ3t)dt)a_k = \frac{2}{T} \int_{0}^{T/2} x(t) \cos(k\omega_0 t) dt = \frac{2}{6} \left( \int_{0}^{1} 1 \cdot \cos(k\frac{\pi}{3} t) dt + \int_{1}^{2} (-t+2) \cos(k\frac{\pi}{3} t) dt \right) ak=13([sin⁡(kπ3t)kπ3]01+∫12(−t+2)cos⁡(kπ3t)dt)a_k = \frac{1}{3} \left( \left[ \frac{\sin(k\frac{\pi}{3} t)}{k\frac{\pi}{3}} \right]_{0}^{1} + \int_{1}^{2} (-t+2) \cos(k\frac{\pi}{3} t) dt \right) ak=13(sin⁡(kπ3)kπ3+∫12(−t+2)cos⁡(kπ3t)dt)a_k = \frac{1}{3} \left( \frac{\sin(k\frac{\pi}{3})}{k\frac{\pi}{3}} + \int_{1}^{2} (-t+2) \cos(k\frac{\pi}{3} t) dt \right)

    For the integral ∫(−t+2)cos⁡(kπ3t)dt\int (-t+2) \cos(k\frac{\pi}{3} t) dt, use integration by parts:
    Let u=−t+2u = -t+2, dv=cos⁡(kπ3t)dtdv = \cos(k\frac{\pi}{3} t) dt.
    Then du=−dtdu = -dt, v=sin⁡(kπ3t)kπ3v = \frac{\sin(k\frac{\pi}{3} t)}{k\frac{\pi}{3}}.

    ∫12(−t+2)cos⁡(kπ3t)dt=[(−t+2)sin⁡(kπ3t)kπ3]12−∫12sin⁡(kπ3t)kπ3(−dt)\int_{1}^{2} (-t+2) \cos(k\frac{\pi}{3} t) dt = \left[ (-t+2) \frac{\sin(k\frac{\pi}{3} t)}{k\frac{\pi}{3}} \right]_{1}^{2} - \int_{1}^{2} \frac{\sin(k\frac{\pi}{3} t)}{k\frac{\pi}{3}} (-dt) =[(−t+2)sin⁡(kπ3t)kπ3]12+1kπ3∫12sin⁡(kπ3t)dt= \left[ (-t+2) \frac{\sin(k\frac{\pi}{3} t)}{k\frac{\pi}{3}} \right]_{1}^{2} + \frac{1}{k\frac{\pi}{3}} \int_{1}^{2} \sin(k\frac{\pi}{3} t) dt =((0)−(1)sin⁡(kπ3)kπ3)+1kπ3[−cos⁡(kπ3t)kπ3]12= \left( (0) - (1) \frac{\sin(k\frac{\pi}{3})}{k\frac{\pi}{3}} \right) + \frac{1}{k\frac{\pi}{3}} \left[ -\frac{\cos(k\frac{\pi}{3} t)}{k\frac{\pi}{3}} \right]_{1}^{2} =−sin⁡(kπ3)kπ3−1(kπ3)2(cos⁡(k2π3)−cos⁡(kπ3))= -\frac{\sin(k\frac{\pi}{3})}{k\frac{\pi}{3}} - \frac{1}{(k\frac{\pi}{3})^2} (\cos(k\frac{2\pi}{3}) - \cos(k\frac{\pi}{3}))

    Substitute this back into the expression for aka_k:

    ak=13(sin⁡(kπ3)kπ3−sin⁡(kπ3)kπ3−1(kπ3)2(cos⁡(k2π3)−cos⁡(kπ3)))a_k = \frac{1}{3} \left( \frac{\sin(k\frac{\pi}{3})}{k\frac{\pi}{3}} - \frac{\sin(k\frac{\pi}{3})}{k\frac{\pi}{3}} - \frac{1}{(k\frac{\pi}{3})^2} (\cos(k\frac{2\pi}{3}) - \cos(k\frac{\pi}{3})) \right) ak=−131(kπ3)2(cos⁡(k2π3)−cos⁡(kπ3))a_k = -\frac{1}{3} \frac{1}{(k\frac{\pi}{3})^2} (\cos(k\frac{2\pi}{3}) - \cos(k\frac{\pi}{3})) ak=−3(kπ)2(cos⁡(k2π3)−cos⁡(kπ3))a_k = -\frac{3}{(k\pi)^2} (\cos(k\frac{2\pi}{3}) - \cos(k\frac{\pi}{3}))
  6. Write the Fourier series representation for x(t)x(t) in Figure P3.22(b).

    x(t)=a0+∑k=1∞akcos⁡(kω0t)x(t) = a_0 + \sum_{k=1}^{\infty} a_k \cos(k\omega_0 t) x(t)=12+∑k=1∞−3(kπ)2(cos⁡(k2π3)−cos⁡(kπ3))cos⁡(kπ3t)x(t) = \frac{1}{2} + \sum_{k=1}^{\infty} -\frac{3}{(k\pi)^2} (\cos(k\frac{2\pi}{3}) - \cos(k\frac{\pi}{3})) \cos(k\frac{\pi}{3} t)

    Final Answer:

    a) The Fourier series representation for x(t)x(t) in Figure P3.22(a) is:

    x(t)=∑k=−∞,k≠0∞j(−1)kkπejkπtx(t) = \boxed{\sum_{k=-\infty, k \neq 0}^{\infty} \frac{j(-1)^k}{k\pi} e^{jk\pi t}}

    or equivalently:

    x(t)=∑k=1∞2(−1)k+1kπsin⁡(kπt)x(t) = \boxed{\sum_{k=1}^{\infty} \frac{2(-1)^{k+1}}{k\pi} \sin(k\pi t)}

    b) The Fourier series representation for x(t)x(t) in Figure P3.22(b) is:

    x(t)=12+∑k=1∞−3(kπ)2(cos⁡(k2π3)−cos⁡(kπ3))cos⁡(kπ3t)x(t) = \boxed{\frac{1}{2} + \sum_{k=1}^{\infty} -\frac{3}{(k\pi)^2} \left(\cos\left(k\frac{2\pi}{3}\right) - \cos\left(k\frac{\pi}{3}\right)\right) \cos\left(k\frac{\pi}{3} t\right)}
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