Convergence of Fourier Series — Question 9

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Question 9

For p>0p>0, study Fp,N(x)=∑n=1Ncos⁡(nx)/npF_{p,N}(x)=\sum_{n=1}^N\cos(nx)/n^p on [−π,π][-\pi,\pi]. You may use completeness of L2L^2: a Cauchy sequence in its norm has an L2L^2 limit; taking an inner product with any fixed L2L^2 function is continuous. Also use Dirichlet’s test for a scalar series with bounded partial sums multiplied by decreasing positive weights tending to zero.

Tasks

  1. Classify exactly those pp for which the sequence converges in L2L^2, proving both directions by orthogonality.

  2. Determine convergence at x=0x=0 modulo 2π2\pi, and at every other fixed point.

  3. Classify uniform convergence on the full period. Prove uniform convergence on each closed subinterval avoiding 2πℤ2\pi\mathbb Z for every p>0p>0.

  4. For 1/2<p≤11/2<p\leq 1, explain rigorously how an L2L^2 function can have these Fourier partial sums although they diverge at zero. Can redefining the limit’s value at zero change that divergence?

Original worksheet page 1: question and worked solution for 8-7-009
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Question 9 – Solution

Strategy. The thresholds for square summability, pointwise convergence at a common phase, and uniform convergence need not coincide.

Step 1: Classify mean-square convergence. For M>NM>N, orthogonality gives ∥Fp,M−Fp,N∥22=π∑n=N+1Mn−2p.\|F_{p,M}-F_{p,N}\|_2^2=\pi\sum_{n=N+1}^M n^{-2p}. This tends to zero uniformly in M>NM>N exactly when 2p>12p>1. Completeness proves existence of an L2L^2 limit in that case. For p≤1/2p\leq 1/2, the norms π∑n=1Nn−2p\pi\sum_{n=1}^Nn^{-2p} are unbounded, so no L2L^2 limit is possible. Thus p>1/2\boxed{p>1/2} is necessary and sufficient.

Step 2: Classify each pointwise series. At zero modulo 2π2\pi the series is ∑n−p\sum n^{-p}, converging exactly when p>1p>1; otherwise its partial sums tend to +∞+\infty. At any other fixed xx, the geometric-sum bound gives bounded partial sums of cos⁡nx\cos nx. The weights n−pn^{-p} decrease to zero for every p>0p>0, so Dirichlet’s test proves convergence at every such point.

Step 3: Distinguish global and local uniform convergence. For p>1p>1, the Weierstrass test proves absolute uniform convergence globally. For 0<p≤10<p\leq 1, divergence at zero precludes uniform convergence on the full period. Away from 2πℤ2\pi\mathbb Z, the cosine block sums are bounded by 1/sin⁡(δ/2)1/\sin(\delta/2). Summation by parts with weights n−pn^{-p} gives supδ≤x≤2π−δ|∑n>Ncos⁡nxnp|≤(N+1)−psin⁡(δ/2).\boxed{\sup_{\delta\leq x\leq 2\pi-\delta} \left|\sum_{n>N}\frac{\cos nx}{n^p}\right| \leq\frac{(N+1)^{-p}}{\sin(\delta/2)}.} Hence local uniform convergence holds for every p>0p>0.

Step 4: Interpret the L2L^2 limit. For 1/2<p≤11/2<p\leq 1, continuity of inner products shows that the L2L^2 limit has mean zero, cosine coefficients n−pn^{-p} and zero sine coefficients. Thus these really are its Fourier partial sums, not arbitrary approximations. An L2L^2 function is defined only up to changes on sets of measure zero; a single divergent point does not contradict convergence in the integral norm. Assigning any value to the limit at zero changes neither coefficients nor partial sums, and therefore cannot remove the divergence there.

Original worksheet page 2: question and worked solution for 8-7-009

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