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Mathematics · 术语表

什么是 Limit at a point?

Definition 21.2 High School Mathematics · 第 21 章 — Limits and Continuity

Let a∈Ra \in \R and let ff be defined near aa (except possibly at aa). We say that ff tends to ℓ∈R\ell \in \R at aa, written lim⁡x→af(x)=ℓ\lim\limits_{x \to a} f(x) = \ell, if for every ε>0\varepsilon > 0 there exists δ>0\delta > 0 such that for all x∈Dx \in D with ∣x−a∣≤δ\abs{x - a} \leq \delta, ∣f(x)−ℓ∣≤ε\abs{f(x) - \ell} \leq \varepsilon.

We say ff tends to +∞+\infty at aa if for every MM there is δ>0\delta > 0 such that f(x)≥Mf(x) \geq M whenever x∈Dx \in D and ∣x−a∣≤δ\abs{x - a} \leq \delta. One-sided limits (x→a+x \to a^+, x→a−x \to a^-) restrict xx to x>ax > a or x<ax < a.

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Definition 13.1 University Mathematics — Year 1 · 第 13 章 — Limits and Continuity

Let x0∈I‾x_0 \in \overline{I} and ℓ∈R\ell \in \R. Then f(x)→ℓf(x) \to \ell as x→x0x \to x_0 when

∀ε>0, ∃δ>0, ∀x∈I,∣x−x0∣≤δ  ⟹  ∣f(x)−ℓ∣≤ε.\forall \varepsilon > 0,\ \exists \delta > 0,\ \forall x \in I, \qquad \abs{x - x_0} \leq \delta \implies \abs{f(x) - \ell} \leq \varepsilon .

Limits at ±∞\pm\infty and infinite limits are defined by the same pattern (∣x−x0∣≤δ\abs{x - x_0} \leq \delta becomes x≥Mx \geq M; ∣f(x)−ℓ∣≤ε\abs{f(x) - \ell} \leq \varepsilon becomes f(x)≥M′f(x) \geq M'). One-sided limits restrict xx to x>x0x > x_0 (written x→x0+x \to x_0^+) or x<x0x < x_0. The limit is unique when it exists (same proof as Proposition 11.4).

示例

Example 13.2 (A limit through the squeeze)

Compute lim⁡x→0x ⌊1x⌋\lim_{x \to 0} x\,\bigl\lfloor \frac1x \bigr\rfloor. The floor bracketing 1x−1<⌊1x⌋≤1x\frac1x - 1 < \lfloor \frac1x \rfloor \leq \frac1x gives, after multiplying by xx (mind the sign!):

1−x<x⌊1x⌋≤1(x>0),1≤x⌊1x⌋<1−x(x<0),1 - x < x\Bigl\lfloor \frac1x \Bigr\rfloor \leq 1 \quad (x > 0), \qquad 1 \leq x\Bigl\lfloor \frac1x \Bigr\rfloor < 1 - x \quad (x < 0),

and both one-sided squeezes close on 11: the limit is 11. Note what happened: ⌊1x⌋\lfloor \frac1x\rfloor alone has wild jumps near 00, but the factor xx tames each jump (xx times a unit jump is small), and only the bracketing survives. The closing insight: limits of products of a small factor with a bounded-oscillation factor are squeeze problems, never operation-theorem problems — the operations theorem needs both factors to converge.

Example 13.5 (Why the composition proviso exists)

Let g(y)=0g(y) = 0 for y≠0y \neq 0 and g(0)=1g(0) = 1, and let ff be identically 00. Then f(x)→0f(x) \to 0 as x→0x \to 0, and g(y)→0g(y) \to 0 as y→0y \to 0; yet g(f(x))=g(0)=1g(f(x)) = g(0) = 1 for every xx, so g∘f→1≠0g \circ f \to 1 \neq 0. The inner function sits exactly on the forbidden value ℓ=0\ell = 0 forever, and gg’s limit at 00 ignores what gg does at 00. The proviso of Corollary 13.4 — either g(ℓ)=mg(\ell) = m (i.e. gg continuous at ℓ\ell), or f≠ℓf \neq \ell near x0x_0 — is precisely what rules this out. The closing insight: in practice one composes continuous functions and the proviso is free; it bites only when limits are taken along punctured neighborhoods, which is why the definition of lim⁡x→x0\lim_{x \to x_0} used in this book includes the point when it is in the domain.

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