11.2 Compactness, Completeness, and Connectedness in R^n
Key Takeaways
- Compactness is formally defined via the open cover property: every open cover admits a finite subcover; in metric spaces, this is equivalent to sequential compactness.
- The Heine-Borel Theorem establishes that a subset of Euclidean space R^n is compact if and only if it is closed and bounded; this equivalence fails in general metric spaces.
- The Bolzano-Weierstrass Theorem guarantees that every bounded sequence in R^n has a convergent subsequence, which serves as the sequential foundation for compactness.
- A metric space is complete if every Cauchy sequence converges within the space; Cantor's Intersection Theorem guarantees that nested closed sets with diameters tending to zero intersect at a unique point.
- Connected subsets of the real line R are precisely intervals; in R^n, an open set is connected if and only if it is path-connected.
11.2 Compactness, Completeness, and Connectedness in R^n
Compactness, completeness, and connectedness are the triad of topological concepts that govern analysis in Euclidean and metric spaces. The GRE Mathematics Subject Test evaluates both their theoretical equivalents and their standard counterexamples.
Compactness and the Heine-Borel Theorem
Open Coverings and Compactness
Let $(M, d)$ be a metric space and $K \subseteq M$.
- An open cover of $K$ is a family $\{U_\alpha\}{\alpha \in I}$ of open sets such that $K \subseteq \bigcup{\alpha \in I} U_\alpha$.
- A finite subcover is a finite subfamily $\{U_{\alpha_1}, \dots, U_{\alpha_k}\}$ with $K \subseteq \bigcup_{j=1}^k U_{\alpha_j}$.
- A set $K$ is compact if every open cover of $K$ admits a finite subcover.
The Heine-Borel Theorem in $\mathbb{R}^n$
In finite-dimensional Euclidean space $\mathbb{R}^n$, the Heine-Borel Theorem provides a concrete geometric characterization:
Failure of Heine-Borel in General Metric Spaces
In any metric space, compact sets are always closed and bounded. However, closed and bounded does NOT imply compact in general:
- Discrete Metric on Infinite Sets: If $X$ is infinite and $d(x, y) = 1$ for $x \neq y$, $X$ is closed and bounded (diameter 1), but the open cover of singletons $\{\{x\}\}_{x \in X}$ has no finite subcover.
- Infinite-Dimensional Spaces: In $\ell^2$, the closed unit ball $\bar{B}(0, 1)$ is closed and bounded, but the orthonormal basis vectors $e_n$ satisfy $d(e_n, e_m) = \sqrt{2}$ ($n \neq m$), admitting no convergent subsequence.
Sequential Compactness and Bolzano-Weierstrass
- Sequential Compactness: A metric space is sequentially compact if every sequence has a subsequence converging to a point in the space.
- Metric Equivalence: In all metric spaces, compactness is strictly equivalent to sequential compactness, and also to completeness plus total boundedness.
- Bolzano-Weierstrass Theorem: Every bounded sequence in $\mathbb{R}^n$ has a convergent subsequence. Equivalently, every infinite bounded subset of $\mathbb{R}^n$ has an accumulation point.
Metric Completeness and Cantor's Intersection Theorem
- Cauchy Sequence: A sequence $(x_n)$ is Cauchy if for all $\varepsilon > 0$, there exists $N \in \mathbb{N}$ such that $d(x_n, x_m) < \varepsilon$ for all $n, m \ge N$. Every convergent sequence in a metric space is Cauchy.
- Complete Metric Space: A space $(M, d)$ is complete if every Cauchy sequence converges to a limit in $M$. $\mathbb{R}^n$ is complete; $\mathbb{Q}$ and $(0, 1)$ with $|x - y|$ are incomplete. Every compact metric space is complete.
- Cantor's Intersection Theorem: In a complete metric space, if $\{F_n\}{n=1}^\infty$ is a nested sequence of nonempty closed sets ($F{n+1} \subseteq F_n$) with $\lim_{n \to \infty} \operatorname{diam}(F_n) = 0$, then $\bigcap_{n=1}^\infty F_n = \{p\}$ contains exactly one point.
Connectedness and Path-Connectedness
- Connectedness: A metric space $M$ is disconnected if $M = U \cup V$ for nonempty, disjoint open sets $U, V$. Otherwise, $M$ is connected. Equivalently, the only clopen subsets of $M$ are $\emptyset$ and $M$.
- Subsets of $\mathbb{R}$: A subset of $\mathbb{R}$ is connected if and only if it is an interval.
- Path-Connectedness: A space $M$ is path-connected if any two points can be joined by a continuous path $\gamma: [0, 1] \to M$.
- Path-connectedness implies connectedness.
- The converse is false: The topologist's sine curve $T = \{(x, \sin(1/x)) : x \in (0, 1]\} \cup \{(0, y) : y \in [-1, 1]\}$ is connected and compact in $\mathbb{R}^2$, but not path-connected.
- In $\mathbb{R}^n$, any open connected set is path-connected.
Comparison Table: Compactness, Completeness, and Connectedness
| Space / Subset | Compact? | Complete? | Connected? | Path-Connected? |
|---|---|---|---|---|
| $[0, 1] \subset \mathbb{R}$ | Yes (closed & bounded) | Yes | Yes (interval) | Yes |
| $(0, 1) \subset \mathbb{R}$ | No (not closed) | No ($1/n$ diverges) | Yes (interval) | Yes |
| $\mathbb{R}$ | No (unbounded) | Yes | Yes (interval) | Yes |
| $\mathbb{Q} \subset \mathbb{R}$ | No (neither closed nor bounded) | No | No (totally disconnected) | No |
| Topologist's Sine Curve $T \subset \mathbb{R}^2$ | Yes (closed & bounded) | Yes | Yes (closure of connected) | No |
| Unit Ball in $\ell^2$ | No (infinite-dimensional) | Yes | Yes | Yes |
Step-by-Step Worked Problems
Problem 1: Compactness in Sequence Spaces
Let $S = \{x \in \ell^\infty : \|x\|_\infty \le 1\}$. Is $S$ compact?
Solution:
- $S$ is closed and bounded in the supremum norm.
- Consider sequence $x^{(n)} = e_n = (0, \dots, 0, 1, 0, \dots)$.
- For $n \neq m$, $\|e_n - e_m\|_\infty = \max(1, 1) = 1$.
- No subsequence can be Cauchy, so no subsequence converges.
- $S$ is not sequentially compact, hence not compact.
Problem 2: Connectedness of Hyperbolic Level Sets
Determine whether $S = \{(x, y) \in \mathbb{R}^2 : x^2 - y^2 = 1\}$ is connected.
Solution:
- The hyperbola has two branches: $x \ge 1$ and $x \le -1$.
- Let $U = \{(x, y) : x > 0\}$ and $V = \{(x, y) : x < 0\}$. Both are open in $\mathbb{R}^2$.
- $S \subset U \cup V$, with $S \cap U \neq \emptyset$ and $S \cap V \neq \emptyset$, while $(S \cap U) \cap (S \cap V) = \emptyset$.
- $S$ is disconnected into two disjoint clopen components.
GRE Exam Traps & Pitfalls
Trap 1: Applying Heine-Borel Beyond $\mathbb{R}^n$ "Closed and bounded $\iff$ compact" is exclusively true in finite-dimensional Euclidean space. In function spaces and $\ell^p$, closed bounded sets are non-compact.
Trap 2: Concluding Path-Connectedness from Connectedness Connected does not imply path-connected. The topologist's sine curve is connected (as the closure of a connected graph) but fails path-connectedness.
Trap 3: Omitting Shrinking Diameters in Cantor's Theorem In complete spaces, nested closed sets must satisfy $\lim \operatorname{diam}(F_n) = 0$. Sets like $F_n = [n, \infty)$ are closed, nested, and nonempty, but have empty intersection.
In which of the following metric spaces is every closed and bounded subset GUARANTEED to be compact?
Let T = { (x, sin(1/x)) in R^2 : x in (0, 1] } U { (0, y) in R^2 : y in [-1, 1] } denote the closed topologist's sine curve. Which statement correctly characterizes T?
Consider a sequence of subsets F_1 superseteq F_2 superseteq F_3 superseteq ... in a metric space (M, d). Which of the following collections of hypotheses GUARANTEES that the intersection bigcap_{n=1}^infty F_n is nonempty and contains exactly one point?