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6 Exponential, Logarithmic, Sine, and Cosine IntegralsApplications

§6.16 Mathematical Applications

Contents
  1. §6.16(i) The Gibbs Phenomenon
  2. §6.16(ii) Number-Theoretic Significance of li⁡(x)

§6.16(i) The Gibbs Phenomenon

Consider the Fourier series

6.16.1 sin⁡x+13⁢sin⁡(3⁢x)+15⁢sin⁡(5⁢x)+⋯={14⁢π,0<x<π,0,x=0,−14⁢π,−π<x<0.

The nth partial sum is given by

6.16.2 Sn⁡(x)=∑k=0n−1sin⁡((2⁢k+1)⁢x)2⁢k+1=12⁢∫0xsin⁡(2⁢n⁢t)sin⁡t⁢dt=12⁢Si⁡(2⁢n⁢x)+Rn⁡(x),

where

6.16.3 Rn⁡(x)=12⁢∫0x(1sin⁡t−1t)⁢sin⁡(2⁢n⁢t)⁢dt.

By integration by parts

6.16.4 Rn⁡(x)=O⁡(n−1),
n→∞,

uniformly for x∈[−π,π]. Hence, if x is fixed and n→∞, then Sn⁡(x)→14⁢π, 0, or −14⁢π according as 0<x<π, x=0, or −π<x<0; compare (6.2.14).

These limits are not approached uniformly, however. The first maximum of 12⁢Si⁡(x) for positive x occurs at x=π and equals (1.1789⁢…)×14⁢π; compare Figure 6.3.2. Hence if x=π/(2⁢n) and n→∞, then the limiting value of Sn⁡(x) overshoots 14⁢π by approximately 18%. Similarly if x=π/n, then the limiting value of Sn⁡(x) undershoots 14⁢π by approximately 10%, and so on. Compare Figure 6.16.1.

This nonuniformity of convergence is an illustration of the Gibbs phenomenon. It occurs with Fourier-series expansions of all piecewise continuous functions. See Carslaw (1930) for additional graphs and information.

See accompanying text
Figure 6.16.1: Graph of Sn⁡(x), n=250, −0.1≤x≤0.1, illustrating the Gibbs phenomenon. Magnify

§6.16(ii) Number-Theoretic Significance of li⁡(x)

If we assume Riemann’s hypothesis that all nonreal zeros of ζ⁡(s) have real part of 12 (§25.10(i)), then

6.16.5 li⁡(x)−π⁡(x)=O⁡(x⁢ln⁡x),
x→∞,

where π⁡(x) is the number of primes less than or equal to x. Compare §27.12 and Figure 6.16.2. See also Bays and Hudson (2000).

See accompanying text
Figure 6.16.2: The logarithmic integral li⁡(x), together with vertical bars indicating the value of π⁡(x) for x=10,20,…,1000. Magnify