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Construct an orthogonal system of eigen functions corresponding to the S-L BVP y''+dy=0, y(0)=0, y(pi)=0. Hence express the function f(x)=x² in terms of the orthogonal system over the interval (0, pi).

Mathematics

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Step-by-step solution

3 steps
  1. Construct the orthogonal system of eigenfunctions.

    The given Sturm-Liouville Boundary Value Problem (S-L BVP) is y′′+λy=0y'' + \lambda y = 0 with boundary conditions y(0)=0y(0) = 0 and y(π)=0y(\pi) = 0.
    We consider three cases for the eigenvalue λ\lambda:

    • Case 1: λ<0\lambda < 0 Let λ=−μ2\lambda = -\mu^2 for some μ>0\mu > 0. The characteristic equation is r2−μ2=0r^2 - \mu^2 = 0, so r=±μr = \pm \mu. The general solution is y(x)=c1eμx+c2e−μxy(x) = c_1 e^{\mu x} + c_2 e^{-\mu x}. Applying y(0)=0  ⟹  c1+c2=0  ⟹  c2=−c1y(0) = 0 \implies c_1 + c_2 = 0 \implies c_2 = -c_1. So y(x)=c1(eμx−e−μx)=2c1sinh⁡(μx)y(x) = c_1(e^{\mu x} - e^{-\mu x}) = 2c_1 \sinh(\mu x). Applying y(π)=0  ⟹  2c1sinh⁡(μπ)=0y(\pi) = 0 \implies 2c_1 \sinh(\mu \pi) = 0. Since μ>0\mu > 0 and π>0\pi > 0, sinh⁡(μπ)≠0\sinh(\mu \pi) \neq 0. Thus, c1=0c_1 = 0, which implies c2=0c_2 = 0. This yields only the trivial solution y(x)=0y(x) = 0.

    • Case 2: λ=0\lambda = 0 The differential equation is y′′=0y'' = 0. Integrating twice gives y(x)=c1x+c2y(x) = c_1 x + c_2. Applying y(0)=0  ⟹  c2=0y(0) = 0 \implies c_2 = 0. So y(x)=c1xy(x) = c_1 x. Applying y(π)=0  ⟹  c1π=0  ⟹  c1=0y(\pi) = 0 \implies c_1 \pi = 0 \implies c_1 = 0. This yields only the trivial solution y(x)=0y(x) = 0.

    • Case 3: λ>0\lambda > 0 Let λ=μ2\lambda = \mu^2 for some μ>0\mu > 0. The characteristic equation is r2+μ2=0r^2 + \mu^2 = 0, so r=±iμr = \pm i\mu. The general solution is y(x)=c1cos⁡(μx)+c2sin⁡(μx)y(x) = c_1 \cos(\mu x) + c_2 \sin(\mu x). Applying y(0)=0  ⟹  c1cos⁡(0)+c2sin⁡(0)=0  ⟹  c1=0y(0) = 0 \implies c_1 \cos(0) + c_2 \sin(0) = 0 \implies c_1 = 0. So y(x)=c2sin⁡(μx)y(x) = c_2 \sin(\mu x). Applying y(π)=0  ⟹  c2sin⁡(μπ)=0y(\pi) = 0 \implies c_2 \sin(\mu \pi) = 0. For a non-trivial solution, c2≠0c_2 \neq 0, so we must have sin⁡(μπ)=0\sin(\mu \pi) = 0. This implies μπ=nπ\mu \pi = n \pi for n=1,2,3,…n = 1, 2, 3, \dots. (We exclude n=0n=0 as it leads to λ=0\lambda=0). Thus, μn=n\mu_n = n. The eigenvalues are λn=n2\lambda_n = n^2 for n=1,2,3,…n = 1, 2, 3, \dots. The corresponding eigenfunctions are yn(x)=sin⁡(nx)y_n(x) = \sin(nx).

    The orthogonal system of eigenfunctions is {sin⁡(nx)}n=1∞\boxed{\{\sin(nx)\}_{n=1}^{\infty}}.

  2. Express the function f(x)=x2f(x) = x^2 in terms of this orthogonal system.

    This means finding the Fourier sine series expansion of f(x)=x2f(x) = x^2 on the interval (0,π)(0, \pi). The Fourier sine series is given by f(x)=∑n=1∞bnsin⁡(nx)f(x) = \sum_{n=1}^{\infty} b_n \sin(nx), where the coefficients bnb_n are:

    bn=2π∫0πf(x)sin⁡(nx) dxb_n = \frac{2}{\pi} \int_0^{\pi} f(x) \sin(nx) \,dx

    Substitute f(x)=x2f(x) = x^2:

    bn=2π∫0πx2sin⁡(nx) dxb_n = \frac{2}{\pi} \int_0^{\pi} x^2 \sin(nx) \,dx

    We evaluate the integral using integration by parts twice. Recall ∫u dv=uv−∫v du\int u \,dv = uv - \int v \,du.
    First, let u=x2u = x^2 and dv=sin⁡(nx) dxdv = \sin(nx) \,dx. Then du=2x dxdu = 2x \,dx and v=−1ncos⁡(nx)v = -\frac{1}{n}\cos(nx).

    ∫0πx2sin⁡(nx) dx=[−x2ncos⁡(nx)]0π−∫0π(−1ncos⁡(nx))(2x) dx\int_0^{\pi} x^2 \sin(nx) \,dx = \left[-\frac{x^2}{n}\cos(nx)\right]_0^{\pi} - \int_0^{\pi} \left(-\frac{1}{n}\cos(nx)\right) (2x) \,dx =(−π2ncos⁡(nπ)−0)+2n∫0πxcos⁡(nx) dx= \left(-\frac{\pi^2}{n}\cos(n\pi) - 0\right) + \frac{2}{n}\int_0^{\pi} x\cos(nx) \,dx =−π2n(−1)n+2n∫0πxcos⁡(nx) dx= -\frac{\pi^2}{n}(-1)^n + \frac{2}{n}\int_0^{\pi} x\cos(nx) \,dx

    Next, evaluate ∫0πxcos⁡(nx) dx\int_0^{\pi} x\cos(nx) \,dx. Let u=xu = x and dv=cos⁡(nx) dxdv = \cos(nx) \,dx. Then du=dxdu = dx and v=1nsin⁡(nx)v = \frac{1}{n}\sin(nx).

    ∫0πxcos⁡(nx) dx=[xnsin⁡(nx)]0π−∫0π1nsin⁡(nx) dx\int_0^{\pi} x\cos(nx) \,dx = \left[\frac{x}{n}\sin(nx)\right]_0^{\pi} - \int_0^{\pi} \frac{1}{n}\sin(nx) \,dx =(πnsin⁡(nπ)−0)−1n[−1ncos⁡(nx)]0π= \left(\frac{\pi}{n}\sin(n\pi) - 0\right) - \frac{1}{n}\left[-\frac{1}{n}\cos(nx)\right]_0^{\pi}

    Since sin⁡(nπ)=0\sin(n\pi) = 0 for integer nn:

    =0+1n2[cos⁡(nx)]0π=1n2(cos⁡(nπ)−cos⁡(0))=1n2((−1)n−1)= 0 + \frac{1}{n^2}[\cos(nx)]_0^{\pi} = \frac{1}{n^2}(\cos(n\pi) - \cos(0)) = \frac{1}{n^2}((-1)^n - 1)

    Substitute this result back into the expression for bnb_n:

    bn=2π[−π2n(−1)n+2n(1n2((−1)n−1))]b_n = \frac{2}{\pi} \left[ -\frac{\pi^2}{n}(-1)^n + \frac{2}{n}\left(\frac{1}{n^2}((-1)^n - 1)\right) \right] bn=2π[−π2n(−1)n+2n3((−1)n−1)]b_n = \frac{2}{\pi} \left[ -\frac{\pi^2}{n}(-1)^n + \frac{2}{n^3}((-1)^n - 1) \right] bn=−2πn(−1)n+4πn3((−1)n−1)b_n = -\frac{2\pi}{n}(-1)^n + \frac{4}{\pi n^3}((-1)^n - 1)

    We analyze bnb_n based on the parity of nn:

    • If nn is even (n=2kn=2k for k≥1k \ge 1), then (−1)n=1(-1)^n = 1: bn=−2πn(1)+4πn3(1−1)=−2πnb_n = -\frac{2\pi}{n}(1) + \frac{4}{\pi n^3}(1 - 1) = -\frac{2\pi}{n}
    • If nn is odd (n=2k−1n=2k-1 for k≥1k \ge 1), then (−1)n=−1(-1)^n = -1: bn=−2πn(−1)+4πn3(−1−1)=2πn+4πn3(−2)=2πn−8πn3b_n = -\frac{2\pi}{n}(-1) + \frac{4}{\pi n^3}(-1 - 1) = \frac{2\pi}{n} + \frac{4}{\pi n^3}(-2) = \frac{2\pi}{n} - \frac{8}{\pi n^3}
  3. Write the Fourier sine series.

    The function f(x)=x2f(x) = x^2 can be expressed in terms of the orthogonal system as:

    f(x)=∑n=1∞bnsin⁡(nx),where bn={−2πnif n is even2πn−8πn3if n is odd\boxed{f(x) = \sum_{n=1}^{\infty} b_n \sin(nx), \quad \text{where } b_n = \begin{cases} -\frac{2\pi}{n} & \text{if } n \text{ is even} \\ \frac{2\pi}{n} - \frac{8}{\pi n^3} & \text{if } n \text{ is odd} \end{cases}}
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