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連通性,以及大定理為何成立

兩個拓撲性質主宰著分析的舞台。緊性迫使連續函數取得最大值與最小值;連通性迫使它們取到中間的每一個值。這一收官將直接從拓撲出發證明二者——最值定理與介值定理——揭示這兩個著名結論各自其實只是一條關於像的事實。

連通意味著什麼

若空間 X 不能被分割為兩個非空、不相交且並為整個 X 的開集,則稱 X 連通。這樣的分割稱為一個分離;連通即不存在分離。等價地說,同時既開又閉(「開閉集」)的子集只有 ∅ 與 X 本身。直觀上,連通空間是一整塊——你無法沿一道開的縫把它乾淨地切開。

關於 R 的基本事實是:它的區間恰好就是它的連通子集。像 {1} ∪ {2} 這樣的集合是不連通的:開集 (0, 1.5) 與 (1.5, 3) 把它分離。一個相關而更強的概念是道路連通:空間內任意兩點都可被一條連續道路相連。道路連通總蘊含連通;對 Rⁿ 的開子集二者一致。

連續像與介值定理

起作用的就這一條事實:連續映射把連通集送成連通集。證明是乾淨的逆否——若像分裂為兩個開塊,把它們經 f⁻¹ 拉回會使定義域分裂,與其連通性矛盾。於是介值定理立刻得到,它不再是另一樁奇蹟,而是一條推論。

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].                                  ∎
連續保持連通性,介值定理三行內即可推出。

緊性與最值定理

緊性扮演孿生角色。連續映射把緊集送成緊集——給定像的一個開覆蓋,把它拉回,對(緊的)定義域取有限子覆蓋,再推回去即可。把它與 Heine–Borel 結合便得最值定理:緊集上的連續函數取得其最大值與最小值

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.
緊性使連續函數的上確界成為真正取得的最大值。