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连通性,以及大定理为何成立

两个拓扑性质主宰着分析的舞台。紧性迫使连续函数取得最大值与最小值;连通性迫使它们取到中间的每一个值。这一收官将直接从拓扑出发证明二者——最值定理与介值定理——揭示这两个著名结论各自其实只是一条关于像的事实。

连通意味着什么

若空间 X 不能被分割为两个非空、不相交且并为整个 X 的开集,则称 X 连通。这样的分割称为一个分离;连通即不存在分离。等价地说,同时既开又闭(“开闭集”)的子集只有 ∅ 与 X 本身。直观上,连通空间是一整块——你无法沿一道开的缝把它干净地切开。

关于 R 的基本事实是:它的区间恰好就是它的连通子集。像 {1} ∪ {2} 这样的集合是不连通的:开集 (0, 1.5) 与 (1.5, 3) 把它分离。一个相关而更强的概念是道路连通:空间内任意两点都可被一条连续道路相连。道路连通总蕴含连通;对 Rⁿ 的开子集二者一致。

连续像与介值定理

起作用的就这一条事实:连续映射把连通集送成连通集。证明是干净的逆否——若像分裂为两个开块,把它们经 f⁻¹ 拉回会使定义域分裂,与其连通性矛盾。于是介值定理立刻得到,它不再是另一桩奇迹,而是一条推论。

Lemma. If f : X -> Y is continuous and X is connected, then f(X) is connected.

Proof (contrapositive). Suppose f(X) is NOT connected: there are open sets
A, B in Y with
   f(X) ⊆ A ∪ B,   A ∩ f(X) ≠ ∅,   B ∩ f(X) ≠ ∅,   A ∩ B ∩ f(X) = ∅.
Then U = f^{-1}(A) and V = f^{-1}(B) are open in X (continuity), nonempty
(each part of the image is hit), disjoint, and U ∪ V = X.
That is a separation of X — contradicting that X is connected.
Hence f(X) is connected.                                            ∎

Intermediate Value Theorem. Let f : [a, b] -> R be continuous and suppose
f(a) < y < f(b). Then f(c) = y for some c in [a, b].

Proof. [a, b] is connected (an interval), so by the Lemma f([a,b]) is a
connected subset of R, hence an interval. It contains f(a) and f(b),
so it contains every value between them, in particular y.
Thus y = f(c) for some c in [a, b].                                  ∎
连续保持连通性,介值定理三行内即可推出。

紧性与最值定理

紧性扮演孪生角色。连续映射把紧集送成紧集——给定像的一个开覆盖,把它拉回,对(紧的)定义域取有限子覆盖,再推回去即可。把它与 Heine–Borel 结合便得最值定理:紧集上的连续函数取得其最大值与最小值

Extreme Value Theorem. A continuous f : [a, b] -> R attains a max and a min.

Proof.
1. [a, b] is compact (Heine-Borel: closed and bounded).
2. The continuous image f([a,b]) is compact (compactness is preserved),
   so by Heine-Borel f([a,b]) is closed and bounded in R.
3. Bounded above => M = sup f([a,b]) exists and is finite.
4. M is a limit of values of f, so M ∈ closure of f([a,b]) = f([a,b])
   (the set is closed). Hence M = f(c) for some c in [a, b]:
   the maximum is ATTAINED.
5. The same argument on -f, or using inf, gives the minimum.        ∎

Where each hypothesis is used:
  - boundedness of [a,b]  -> f is bounded (sup is finite);
  - closedness of [a,b]   -> the sup is achieved, not just approached.
Drop either and it fails: f(x)=x on (0,1) has sup 1 but no maximum.
紧性使连续函数的上确界成为真正取得的最大值。