All books

Professional

Apps About Coach Log in Start reading

Mathematics · Glossary

What is normal convergence?

Definition 10.9 University Mathematics — Year 2 · Chapter 10 — Sequences and Series of Functions

A series of functions ∑un\sum u_n converges pointwise/uniformly when its partial sums do. It converges normally (on XX) when ∑∥un∥∞<∞\sum \norm{u_n}_\infty < \infty. Normal convergence implies uniform convergence (in the Banach space of bounded functions: Theorem 5.21), which implies pointwise; both implications are strict.

Examples

Example 10.10 (One series, three verdicts)

Take un(x)=xnnu_n(x) = \frac{x^n}{n} on [0, 1)\intco{0}{1}. Pointwise: converges for every x∈[0, 1)x \in \intco01 (comparison with the geometric series). Normal on [0, a]\intcc{0}{a}, a<1a < 1: ∥un∥∞,[0, a]=ann\norm{u_n}_{\infty,\intcc0a} = \frac{a^n}{n}, summable. Not normal on [0, 1)\intco{0}{1}: ∥un∥∞,[0, 1)=1n\norm{u_n}_{\infty,\intco01} = \frac1n, and ∑1n\sum\frac1n diverges. Not even uniform on [0, 1)\intco{0}{1}: the remainder resists near 11,

RN(x)=∑n>Nxnn≥∑n=N+12Nxnn≥N x2N2N=x2N2→x→1−12,R_N(x) = \sum_{n>N}\frac{x^n}{n} \geq \sum_{n=N+1}^{2N}\frac{x^n}{n} \geq \frac{N\,x^{2N}}{2N} = \frac{x^{2N}}{2} \xrightarrow[x\to1^-]{} \frac12 ,

so sup⁡[0, 1)∣RN∣≥12\sup_{\intco01}\abs{R_N} \geq \frac12 for every NN. Closing insight: all four verdicts coexist peacefully — the sum −ln⁡(1−x)-\ln(1-x) is continuous on [0, 1)\intco{0}{1} because continuity only needs uniformity near each point, i.e. on the segments [0, a]\intcc0a; blowing up at the edge is the sum’s right.

Example 10.13 (The Riemann ζ\zeta function)

ζ(s)=∑n≥1n−s\zeta(s) = \sum_{n\geq1} n^{-s} converges normally on every half-line [a, +∞)\intco{a}{+\infty}, a>1a > 1 (∥n−s∥∞=n−a\norm{n^{-s}}_\infty = n^{-a}, summable): ζ\zeta is continuous on (1, +∞)\intoo{1}{+\infty}; differentiating termwise (the derived series ∑−ln⁡n  n−s\sum -\ln n\; n^{-s} also converges normally on [a, ∞)\intco{a}{\infty}), ζ\zeta is C1C^1 — and, iterating, C∞C^\infty — with ζ′(s)=−∑ln⁡nns\zeta'(s) = -\sum \frac{\ln n}{n^s}. Note the discipline: normal convergence is checked on sub-half-lines, never on the open (1, ∞)\intoo{1}{\infty} itself, where it fails.

Example 10.14 (A logarithmic series, worked to the end)

Let F(x)=∑n≥1e−nxnF(x) = \sum_{n\geq1} \frac{\eu^{-nx}}{n} on (0, ∞)\intoo{0}{\infty}. Each term is bounded on [δ, ∞)\intco{\delta} \infty by e−nδn≤e−nδ\frac{\eu^{-n\delta}}{n} \leq \eu^{-n\delta}, a convergent geometric series: normal convergence on every [δ, ∞)\intco\delta\infty, so FF is continuous on (0, ∞)\intoo{0}{\infty}. The derived series ∑−e−nx\sum -\eu^{-nx} is likewise normally convergent on [δ, ∞)\intco\delta\infty (∥e−nx∥∞,[δ, ∞)=e−nδ\norm{\eu^{-nx}}_{\infty,\intco\delta\infty} = \eu^{-n\delta}), so FF is C1C^1 with a geometric derivative:

F′(x)=−∑n≥1e−nx=−e−x1−e−x=−1ex−1.F'(x) = -\sum_{n\geq1}\eu^{-nx} = \frac{-\eu^{-x}}{1 - \eu^{-x}} = \frac{-1}{\eu^{x} - 1} .

Iterating, FF is C∞C^\infty. Integrating F′F' (both FF and x↦−ln⁡(1−e−x)x \mapsto -\ln(1 - \eu^{-x}) vanish at +∞+\infty and have the same derivative on (0, ∞)\intoo0\infty):

F(x)=−ln⁡(1−e−x),F(x) = -\ln\bigl(1 - \eu^{-x}\bigr),

the logarithmic series at t=e−xt = \eu^{-x}. Closing insight: as x→0+x \to 0^+, F(x)=−ln⁡(x+O(x2))=ln⁡1x+O(x)F(x) = -\ln(x + O(x^2)) = \ln\frac1x + O(x) — the series diverges logarithmically at the boundary, exactly like the harmonic series it becomes at x=0x = 0; normal convergence on [δ, ∞)\intco\delta\infty but not on (0, ∞)\intoo0\infty is the symptom.

Read in context →