Topology
Topological spaces, continuity, compactness, connectedness, separation axioms, and product topology — complete syllabus coverage with rigorous definitions, key theorems, worked examples, and interactive practice.
A topological space is the most general setting in which we can discuss continuity, convergence, and connectedness. We begin with the axioms that define a topology and explore open sets, closed sets, bases, and subbases.
- $\emptyset \in \tau$ and $X \in \tau$.
- If $\{U_\alpha\}_{\alpha \in I} \subseteq \tau$, then $\bigcup_{\alpha \in I} U_\alpha \in \tau$ (arbitrary unions).
- If $U_1, U_2, \dots, U_n \in \tau$, then $\bigcap_{i=1}^{n} U_i \in \tau$ (finite intersections).
Common topologies on $\mathbb{R}$:
- Standard (Euclidean) topology: generated by open intervals $(a,b)$.
- Discrete topology: $\tau = \mathcal{P}(X)$ — every subset is open.
- Indiscrete (trivial) topology: $\tau = \{\emptyset, X\}$.
- Lower-limit (Sorgenfrey) topology: generated by half-open intervals $[a,b)$.
- Interior: $\mathrm{int}(A) = \bigcup \{U \in \tau : U \subseteq A\}$ — the largest open set contained in $A$.
- Closure: $\overline{A} = \bigcap \{C : C \text{ closed}, A \subseteq C\}$ — the smallest closed set containing $A$.
- Boundary: $\partial A = \overline{A} \setminus \mathrm{int}(A)$.
Continuous maps are the natural morphisms between topological spaces. A homeomorphism is a bijective continuous map with continuous inverse — the topological notion of "same shape."
- $f$ is continuous (preimage of every open set is open).
- The preimage of every closed set is closed.
- For every $A \subseteq X$: $f(\overline{A}) \subseteq \overline{f(A)}$.
- For every $x \in X$ and every open set $V$ containing $f(x)$, there exists an open set $U$ containing $x$ with $f(U) \subseteq V$.
A homeomorphism is both an open map and a closed map. However, a continuous bijection need not be a homeomorphism — we also need the inverse to be continuous.
Compactness generalises the properties of closed bounded subsets of $\mathbb{R}^n$. It is one of the most powerful concepts in topology, enabling us to extract finite information from infinite collections.
- A closed subset of a compact space is compact.
- A compact subset of a Hausdorff space is closed.
- The continuous image of a compact space is compact.
- A continuous real-valued function on a compact space attains its maximum and minimum (Extreme Value Theorem).
Tychonoff's theorem is equivalent to the Axiom of Choice. For finite products, the proof is elementary; the general case requires Zorn's Lemma or the ultrafilter characterisation of compactness.
Connectedness captures the idea of a space being "in one piece." We study connected spaces, path-connected spaces, and connected components.
- The continuous image of a connected space is connected.
- $\mathbb{R}$ is connected. More generally, the connected subsets of $\mathbb{R}$ are precisely the intervals.
- Intermediate Value Theorem (topological version): If $f: X \to \mathbb{R}$ is continuous and $X$ is connected, then $f(X)$ is an interval.
Separation axioms quantify how well a topology can distinguish points and closed sets. These axioms form a hierarchy from $T_0$ to $T_4$ and beyond.
- $T_1$ (Fréchet): For any two distinct points $x \ne y$, there exist open sets $U \ni x$ with $y \notin U$ and $V \ni y$ with $x \notin V$. Equivalently, every singleton $\{x\}$ is closed.
- $T_2$ (Hausdorff): For any two distinct points $x \ne y$, there exist disjoint open sets $U \ni x$ and $V \ni y$ with $U \cap V = \emptyset$.
- $T_3$ (Regular): $T_1$ and for any closed set $C$ and any point $x \notin C$, there exist disjoint open sets separating $x$ and $C$.
- $T_4$ (Normal): $T_1$ and for any two disjoint closed sets $C_1, C_2$, there exist disjoint open sets separating $C_1$ and $C_2$.
Not $T_2$: Any two non-empty open sets $U, V$ in the cofinite topology have finite complements. So $U \cap V = X \setminus ((X \setminus U) \cup (X \setminus V))$, which is cofinite (removing finitely many points from $X$), hence non-empty since $X$ is infinite. No two non-empty open sets can be disjoint, so the space is not Hausdorff.
The product topology is the natural way to topologize a Cartesian product of spaces, ensuring that projections are continuous and satisfying a universal property.
Note: The product topology differs from the box topology (where arbitrary products of open sets are open) for infinite products. The box topology on $\mathbb{R}^{\mathbb{N}}$ is strictly finer and does not satisfy Tychonoff's theorem.
- A topology on $X$ is defined by axioms on open sets: $\emptyset, X$ are open; arbitrary unions and finite intersections of open sets are open.
- Continuity in topology means the preimage of every open set is open — this generalises the $\varepsilon$-$\delta$ definition.
- Compactness (every open cover has a finite subcover) is preserved by continuous maps and products (Tychonoff).
- Connected spaces cannot be split into two disjoint non-empty open sets; path-connectedness is strictly stronger.
- Separation axioms form a hierarchy: $T_4 \Rightarrow T_3 \Rightarrow T_2 \Rightarrow T_1$. Every metric space is normal.
- The product topology uses a subbasis of preimages under projections and satisfies a universal property for continuity.