Convergence of Fourier Series — Question 6

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Question 6

For N≥1N\geq 1, consider real trigonometric polynomials p(x)=A0+∑n=1N(Ancos⁡nx+Bnsin⁡nx)p(x)=A_0+\sum_{n=1}^N(A_n\cos nx+B_n\sin nx) on [−π,π][-\pi,\pi]. Use ∥p∥22=∫−ππp2\|p\|_2^2=\int_{-\pi}^{\pi}p^2 and define DN(x)=1+2∑n=1Ncos⁡nxD_N(x)=1+2\sum_{n=1}^N\cos nx.

Tasks

  1. Prove ∥p∥∞≤(2N+1)/(2π)∥p∥2\|p\|_\infty\leq\sqrt{(2N+1)/(2\pi)}\,\|p\|_2 by an orthonormal-basis argument.

  2. Prove the constant is sharp and characterize all nonzero equality cases at a prescribed point x0x_0.

  3. For pN=DN/(2N+1)p_N=D_N/(2N+1), compute both norms exactly and determine its pointwise limit. Explain what this says about point evaluation under mean-square convergence.

  4. Derive the sine-quotient form of DND_N and sketch p2,p8p_2,p_8 over a period. Explain why this sequence is not the sequence of Fourier partial sums of one fixed function.

Original worksheet page 1: question and worked solution for 8-7-006
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Question 6 – Solution

Strategy. Point evaluation on a finite-dimensional space has a norm that grows with the number of available modes.

Step 1: Apply Cauchy–Schwarz in coefficient space. An orthonormal basis is 1/2π1/\sqrt{2\pi}, cos⁡nx/π\cos nx/\sqrt\pi, sin⁡nx/π\sin nx/\sqrt\pi. The sum of their squared values at any point is 12π+1π∑n=1N(cos⁡2nx+sin⁡2nx)=2N+12π.\frac 1{2\pi}+\frac 1\pi\sum_{n=1}^N(\cos^2nx+\sin^2nx) =\frac{2N+1}{2\pi}. Cauchy–Schwarz against the orthonormal coefficient vector proves ∥p∥∞≤2N+12π∥p∥2.\boxed{\|p\|_\infty\leq\sqrt{\frac{2N+1}{2\pi}}\,\|p\|_2.}

Step 2: Identify equality cases. Equality at x0x_0 holds exactly when the coefficient vector is a real nonzero multiple of the basis-value vector at x0x_0. Equivalently, p(x)=CDN(x−x0),C∈ℝ\{0}.\boxed{p(x)=C D_N(x-x_0),\qquad C\in\mathbb R\setminus\{0\}.} This exhibits the sharp constant, not merely an upper estimate.

Step 3: Build a vanishing-energy sequence with a fixed peak. The triangle inequality and the value at zero give ∥DN∥∞=2N+1\|D_N\|_\infty=2N+1. Orthogonality gives ∥DN∥22=2π(2N+1)\|D_N\|_2^2=2\pi(2N+1). Consequently ∥pN∥∞=1,∥pN∥22=2π2N+1→0.\boxed{\|p_N\|_\infty=1,\qquad \|p_N\|_2^2=\frac{2\pi}{2N+1}\to 0.} At 00 modulo 2π2\pi, pN=1p_N=1. At every other fixed point it tends to zero by the quotient below. Point evaluation is therefore not continuous in the L2L^2 norm on the union of these polynomial spaces.

Step 4: Explain the oscillatory peak. Summing ∑n=−NNeinx\sum_{n=-N}^N e^{inx} yields DN(x)=sin⁡((N+1/2)x)sin⁡(x/2)(x∉2πℤ).\boxed{D_N(x)=\frac{\sin((N+1/2)x)}{\sin(x/2)} \quad(x\notin 2\pi\mathbb Z).} The removable value at zero is 2N+12N+1. The normalized peak narrows with NN. These pNp_N cannot be successive partial sums of one fixed function: their constant coefficients 1/(2N+1)1/(2N+1) change with NN, whereas truncation preserves every already-included Fourier coefficient.

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