Exercise 1. Let \(X\) be a space. Let \(\mathcal{D}\) be a collection of subsets of \(X\) that is maximal with respect to the finite intersection property (FIP).

(a) Show that \(x \in \bar{D}\) for every \(D \in \mathcal{D}\) if and only if every neighborhood of \(x\) belongs to \(\mathcal{D}\). Which implication uses maximality of \(\mathcal{D}\)?

Proof:

  1. Prove in the forward direction

    Let \(x \in \bar{D}\) for every \(D \in \mathcal{D}\). Let \(U\) be any neighborhood of \(x\) in \(X\). According to Theorem 17.5 (a) in Section 17, if \(x \in \bar{D}\), we have \(U \cap D \neq \varPhi\). This means any neighborhood \(U\) of \(X\) intersects every element in the maximal collection \(\mathcal{D}\). According to Lemma 37.2 (b), \(U \in \mathcal{D}\). The maximality of \(\mathcal{D}\) is used when applying this lemma.

  2. Prove in the backward direction

    If there exists a \(D_0 \in \mathcal{D}\) such that \(x \notin \bar{D}_0\), \(x\) belongs to the complement of \(\bar{D}_0\), which is open in \(X\). According to the given condition \(U \in D\) for all \(D \in \mathcal{D}\), \(\bar{D}_0^c\) also belongs to \(\mathcal{D}\). Then \(\bar{D}_0^c \cap D_0 = \varPhi\) contradicts the fact that \(\mathcal{D}\) has the FIP.

(b) Let \(D \in \mathcal{D}\). Show that if \(A \supset D\), then \(A \in \mathcal{D}\).

Proof: Because \(\mathcal{D}\) has the FIP, for all \(D' \in \mathcal{D}\), \(D \cap D' \neq \varPhi\). Because \(D\) is contained in \(A\), \(A \cap D' \neq \varPhi\). According to Lemma 37.2 (b), \(A \in \mathcal{D}\).

(c) Show that if \(X\) satisfies the \(T_1\) axiom, there is at most one point belonging to the intersection of all elements in \(\mathcal{D}\), i.e., \(\bigcap_{D \in \mathcal{D}} \bar{D}\).

Proof: Assume that there are at least two points \(x_1\) and \(x_2\) in \(\bigcap_{D \in \mathcal{D}} \bar{D}\). If \(X\) is a Hausdorff space, there are disjoint open sets \(U_1\) and \(U_2\) in \(X\) containing \(x_1\) and \(x_2\) respectively. According to part (a) of this exercise, we have \(U_1 \in \mathcal{D}\) and \(U_2 \in \mathcal{D}\). Then, \(U_1\) and \(U_2\) being disjoint contradicts the fact that \(\mathcal{D}\) has the FIP.

Unfortunately, the given condition in this exercise, i.e. \(X\) satisfies the \(T_1\) axiom, is weaker than the above assumption that \(X\) is Hausdorff. Hence the above proof does not work. However, there seems no obvious or direct proof for the claim in the exercise. This may imply that the original statement is erroneous.

According to the discussion here, a counter example involving the cofinite topology \(\mathcal{T}_c\) on the set of natural numbers \(\mathbb{N}\) is given. It further shows that the intersection of all the elements in the maximal collection \(\mathcal{D}\) is actually \(\mathbb{N}\) itself. This contradicts the claim in the exercise. In the following, the construction of the counter example will be given.

Definition of the cofinite topology

Definition (Cofinite topology) Let \(\mathcal{T}_c\) be the cofinite topology of the space \(X\). Then for all \(U \in \mathcal{T}_c\), either \(U\) is empty or its complement \(U^c\) is finite.

Next, we'll show \(\mathcal{T}_c\) satisfying the conditions in the above definition really defines a topology on \(X\).

  1. It is obvious that \(\varPhi\) belongs to \(\mathcal{T}_c\).

  2. When \(U = X\), \(U^c = \varPhi\), which is finite. Hence \(X\) belongs to \(\mathcal{T}_c\).

  3. Check the closeness of the union operation.

    Let \(\{U_i\}_{i \in I}\) be a collection of open sets in \(\mathcal{T}_c\). If some \(U_i\) in the collection is empty, it has no contribution to the union. Hence we assume all the \(U_i\) in the collection are non-empty.

    Then we have
    \[
    \left( \bigcup_{i \in I} U_i \right)^c = \bigcap_{i \in I} U_i^c,
    \]
    where each \(U_i^c\) is finite. The above intersection of \(\{U_i^c\}_{i \in I}\) is a subset of finite set, which is also finite. Therefore \(\bigcup_{i \in I} U_i \in \mathcal{T}_c\).

  4. Check the closeness of the finite intersection operation.

    For a finite collection of open sets in \(\mathcal{T}_c\), we have
    \[
    \left( \bigcap_{k = 1}^n U_k \right)^c = \bigcup_{k = 1}^n U_k^c.
    \]
    Because each \(U_i^c\) is a finite set, the union of a finite number of finite sets is still finite. Hence \(\bigcap_{k = 1}^n U_k \in \mathcal{T}_c\).

Due to the above analysis, \(\mathcal{T}_c\) is really a topology for \(X\). We also know that because every finite set in \(X\) assigned with the topology \(\mathcal{T}_c\) is closed, \(X\) satisfies the \(T_1\) axiom.

Counter example derived from the cofinite topology on \(\mathbb{N}\)

Let the set of natural numbers \(\mathbb{N}\) be assigned with the cofinite topology \(\mathcal{T}_c\). \(\mathbb{N}\) satisfies the \(T_1\) axiom. Let \(\mathcal{C}\) be a collection of all those subsets in \(\mathbb{N}\), each of which has a finite complement. This means all the open sets in \(\mathcal{T}_c\) except \(\varPhi\) are included in \(\mathcal{C}\). Accordingly, the following can be obtained.

  1. For all \(U \in \mathcal{C}\), because \(\mathbb{N} - U\) is finite while \(\mathbb{N}\) is infinite, \(U\) is an infinite subset of \(\mathbb{N}\).

  2. Let \(\{U_k\}_{k = 1}^n\) be a finite collection arbitrarily selected from \(\mathcal{C}\). Then we have
    \[
    \left( \bigcap_{k = 1}^n U_k \right)^c = \bigcup_{k = 1}^n U_k^c.
    \]
    Because \(U_k^c\) for each \(k\) from \(1\) to \(n\) is a non-empty finite set, their finite union is still finite. Because \(\mathbb{N}\) is infinite, \(\bigcap_{k = 1}^n U_k\) must be infinite, which is a non-empty open set. Therefore \(\mathcal{C}\) has the FIP.

Next, by applying the Zorn's Lemma, a maximal collection \(\mathcal{D}\) exists, which contains \(\mathcal{C}\) as its sub-collection and also has the FIP. For all \(D \in \mathcal{D}\), \(D\) must have infinite number of elements. Otherwise, if \(D = \{d_i\}_{i = 1}^m\), we can select a sub-collection \(\{C_i\}_{i = 1}^m\) from \(\mathcal{C}\), such that \(d_i \notin C_i\). Then \(D \cap C_1 \cap \cdots \cap C_m = \varPhi\), which contradicts the fact that \(\mathcal{D}\) has the FIP.

Select an arbitrary \(x\) in \(D^c\), for any open set \(U\) in \(\mathcal{T}_c\) containing \(x\), it has non-empty intersection with \(D\) because \(D\) is an infinite set. This means any point \(x\) in \(D^c\) is a limiting point of \(D\), so \(\bar{D} = D \cup D^c = \mathbb{N}\). Hence \(\bigcap_{D \in \mathcal{D}} \bar{D} = \mathbb{N}\), which obviously has more than one point.

James Munkres Topology: Sec 37 Exer 1的更多相关文章

  1. James Munkres Topology: Sec 18 Exer 12

    Theorem 18.4 in James Munkres “Topology” states that if a function \(f : A \rightarrow X \times Y\) ...

  2. James Munkres Topology: Sec 22 Exer 6

    Exercise 22.6 Recall that \(\mathbb{R}_{K}\) denotes the real line in the \(K\)-topology. Let \(Y\) ...

  3. James Munkres Topology: Sec 22 Exer 3

    Exercise 22.3 Let \(\pi_1: \mathbb{R} \times \mathbb{R} \rightarrow \mathbb{R}\) be projection on th ...

  4. James Munkres Topology: Sec 22 Example 1

    Example 1 Let \(X\) be the subspace \([0,1]\cup[2,3]\) of \(\mathbb{R}\), and let \(Y\) be the subsp ...

  5. James Munkres Topology: Lemma 21.2 The sequence lemma

    Lemma 21.2 (The sequence lemma) Let \(X\) be a topological space; let \(A \subset X\). If there is a ...

  6. James Munkres Topology: Theorem 20.3 and metric equivalence

    Proof of Theorem 20.3 Theorem 20.3 The topologies on \(\mathbb{R}^n\) induced by the euclidean metri ...

  7. James Munkres Topology: Theorem 20.4

    Theorem 20.4 The uniform topology on \(\mathbb{R}^J\) is finer than the product topology and coarser ...

  8. James Munkres Topology: Theorem 19.6

    Theorem 19.6 Let \(f: A \rightarrow \prod_{\alpha \in J} X_{\alpha}\) be given by the equation \[ f( ...

  9. James Munkres Topology: Theorem 16.3

    Theorem 16.3 If \(A\) is a subspace of \(X\) and \(B\) is a subspace of \(Y\), then the product topo ...

随机推荐

  1. ionic之AngularJS——手势事件

    长按 : on-hold 在屏幕同一位置按住超过500ms,将触发on-hold事件: 你可以在任何元素上使用这个指令挂接监听函数: <any on-hold=“…”>…</any& ...

  2. hibernate映射关系(多对多)

    Student与Teacher关系多对多(只建了2个实体类) public class Student { private int id; private String name; private S ...

  3. PYTHON深拷贝与浅拷贝

    浅拷贝就是对引用的拷贝,深拷贝就是对对象的资源的拷贝 浅拷贝 浅拷贝仅仅复制了容器中元素的地址 赋值的原则 1.赋值是将一个对象的地址赋值给一个变量,让变量指向该地址( 旧瓶装旧酒 ). 2.修改不可 ...

  4. Oracle定时备份数据库

    1.导出命令:exp cpzxoa/cpzxoa@FENG file=D:\OracleBak\%date:~11,4%\jjmis_test.dmp log=D:\OracleBak\%date:~ ...

  5. js获取参数函数

  6. 注册InstallShield

    安装InstallShield 下载installshield limitededition版本,这个版本是免费的 注册 安装打开后会给一个网址要求进行注册 其中,国籍是必填项但是下拉菜单中没有内容, ...

  7. Failed to execute goal org.apache.tomcat.maven:tomcat7-maven-plugin:2.2:deploy (default-cli) on project Resource: Cannot invoke Tomcat manager: Connection refused: connect -> [Help 1]

    1.问题描述 在 DOS 下执行 tomcat7-maven-plugin 插件部署,启动 Apache Tomcat 服务报错如下: D:\2018\code\XXX>mvn tomcat7: ...

  8. Confluence 6 数据库表-空间(Spaces)

    这个表格与空间的管理有关. spaces 有关空间使用的信息:key,空间的名称和数字 ID. https://www.cwiki.us/display/CONF6ZH/Confluence+Data ...

  9. numpy:dot与multiply

    http://blog.csdn.net/iamzhangzhuping/article/details/52370241

  10. java多线程快速入门(二十)

    1.Java.util的线程安全工具类 Vector(线程安全) ArrayList(线程不安全) HashTable(线程安全) HashMap(线程不安全) 2.将线程不安全集合变为线程安全集合 ...