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ANA2 · 1

Uniform convergence

11 concepts · 28 questions

Pointwise and uniform convergence, continuity, integration and differentiation of limits, and the Weierstrass M-test.

Overview 1The plan of this section

When can we swap a limit with continuity, integration or differentiation?

  1. Pointwise convergence (Def. 1.1) is too weak (Example 1.2).
  2. Uniform convergence (Def. 1.3) and its sup-norm test (Prop. 1.4) and Cauchy criterion (Prop. 1.5).
  3. Uniform limits of continuous functions are continuous (Thm 1.6); limits commute with integrals (Thm 1.7) and, with care, derivatives (Thm 1.8).
  4. Series of functions and the Weierstrass M-test (Thm 1.9).

Uniform convergence is what lets limits pass through continuity and integrals.

Definition 1.1Pointwise convergence

fn→ff_n\to f pointwise on SS if fn(x)→f(x)f_n(x)\to f(x) for each x∈Sx\in S: for every xx and ε>0\varepsilon > 0 there is NN (depending on xx and ε\varepsilon) with ∣fn(x)−f(x)∣<ε|f_n(x) - f(x)| < \varepsilon for n≥Nn\ge N.

Pointwise: converge at each point separately; NN may depend on xx.

Example 1.2What pointwise convergence fails to preserve

  • Continuity: xnx^n on [0,1][0, 1] has a discontinuous limit.
  • Integrals: fn=n2x(1−x2)nf_n = n^2x(1 - x^2)^n on [0,1][0, 1] tends to 00 pointwise, yet ∫01fn=n22(n+1)→∞\int_0^1f_n = \frac{n^2}{2(n + 1)}\to\infty.
  • Derivatives: fn=sin⁡(n2x)n→0f_n = \frac{\sin(n^2x)}{n}\to0 (even uniformly), but fn′(0)=n→∞f_n'(0) = n\to\infty.

Pointwise limits can break continuity, integrals and derivatives — the motivating counterexamples.

Definition 1.3Uniform convergence

fn→ff_n\to f uniformly on SS if for every ε>0\varepsilon > 0 there is NN (independent of xx) with ∣fn(x)−f(x)∣<ε|f_n(x) - f(x)| < \varepsilon for all n≥Nn\ge N and all x∈Sx\in S.

Uniform: one NN works for every xx; the graph of fnf_n lies in an ε\varepsilon-band around ff.

Proposition 1.4Sup-norm test for uniform convergence

fn→ff_n\to f uniformly on SS iff ∥fn−f∥∞=sup⁡x∈S∣fn(x)−f(x)∣→0\|f_n - f\|_\infty = \sup_{x\in S}|f_n(x) - f(x)|\to0. To disprove uniformity it suffices to find xn∈Sx_n\in S with ∣fn(xn)−f(xn)∣↛0|f_n(x_n) - f(x_n)|\not\to0.

Compute sup⁡∣fn−f∣\sup|f_n - f|: uniform iff it tends to 00. To disprove, chase a bad point xnx_n.

Proof

Proposition 1.5Cauchy criterion for uniform convergence

(fn)(f_n) converges uniformly on SS (to some ff) iff for every ε>0\varepsilon > 0 there is NN with ∥fn−fm∥∞<ε\|f_n - f_m\|_\infty < \varepsilon for all m,n≥Nm, n\ge N.

Uniformly Cauchy ⇔ uniformly convergent — no need to know the limit in advance.

Proof

Theorem 1.6Uniform limits of continuous functions are continuous

If each fnf_n is continuous at a∈Sa\in S and fn→ff_n\to f uniformly on SS, then ff is continuous at aa.

ε3\frac\varepsilon3 argument: uniform convergence + continuity of one fnf_n ⇒ continuity of ff.

Proof

Theorem 1.7Uniform convergence and integration

If fnf_n are Riemann integrable on [a,b][a, b] and fn→ff_n\to f uniformly, then ff is integrable and ∫abfn→∫abf\int_a^bf_n\to\int_a^bf.

Uniform ⇒ lim⁡∫fn=∫lim⁡fn\lim\int f_n = \int\lim f_n on bounded intervals: ∣∫fn−∫f∣≤(b−a)∥fn−f∥∞|\int f_n - \int f|\le(b - a)\|f_n - f\|_\infty.

Proof

Theorem 1.8Uniform convergence and differentiation

Let fnf_n be continuously differentiable on [a,b][a, b], with fn′→gf_n'\to g uniformly and fn(c)f_n(c) convergent for some c∈[a,b]c\in[a, b]. Then fnf_n converges uniformly to a differentiable ff with f′=gf' = g.

Need uniform convergence of the derivatives (plus convergence at one point), not of the functions.

Proof

Theorem 1.9Weierstrass M-test

If ∣gk(x)∣≤Mk|g_k(x)|\le M_k for all x∈Sx\in S and ∑Mk<∞\sum M_k < \infty, then ∑gk\sum g_k converges uniformly (and absolutely) on SS. If the gkg_k are continuous, so is the sum.

Bound each term by a constant MkM_k with ∑Mk<∞\sum M_k < \infty ⇒ uniform convergence.

Proof

Check 1.10Check: proving or disproving uniform convergence

  • Find the pointwise limit first.
  • Compute sup⁡∣fn−f∣\sup|f_n - f| (calculus: differentiate in xx).
  • Disprove: a bad sequence xnx_n, or a discontinuous limit of continuous functions.
  • Series: the M-test; if it fails, check the tail directly.
  • Uniformity depends on the set: shrinking the domain often helps.

Limit, sup, bad point, M-test, check the domain.