The single most useful property a set can have. Its definition — every open cover has a finite subcover — looks strange until you see what it does: it turns infinitely many local statements into one global statement. Nearly every existence theorem this year runs through it.
Local information is easy to get and hard to use. Compactness is the hypothesis that lets you take a property holding near every point and conclude it holds uniformly on the whole set. Uniform continuity, attainment of maxima, and partitions of unity are all this move.
Optimisation over a compact feasible region is guaranteed to have a solution, which is why constraints matter as much as objectives. Numerical methods converge on compact domains and can wander off on non-compact ones. Existence of equilibria in economics is a fixed point theorem on a compact convex set.
Heine and Borel's theorem was assembled between 1872 and 1895, and the modern open-cover definition took until Alexandroff and Urysohn in 1929. That slow arrival is a hint: it is not the obvious definition, it is the one that turned out to work. In infinite dimensions closed and bounded stops implying compact, which reshapes all of functional analysis.
An open cover of $K\subseteq\mathbb{R}^n$ is a family $\{U_\alpha\}$ of open sets with $K\subseteq\bigcup_\alpha U_\alpha$. The set $K$ is compact if every open cover of $K$ has a finite subcover: finitely many $U_{\alpha_1},\dots,U_{\alpha_m}$ already cover $K$.
Cover $\mathbb{R}$ by $(-n,n)$ for $n\in\mathbb{N}$. A finite subfamily has a largest $n$ and misses everything beyond. Here the obstruction is unboundedness.
This direction holds in any metric space.
In $\mathbb{R}^n$, a set is compact if and only if it is closed and bounded.
In an infinite-dimensional normed space the closed unit ball is closed and bounded but never compact. The sequence of standard basis vectors satisfies $\|e_i-e_j\|=\sqrt2$ for $i\ne j$, so it has no convergent subsequence. Heine–Borel is a theorem about $\mathbb{R}^n$, not a tautology.
$K$ is sequentially compact if every sequence in $K$ has a subsequence converging to a point of $K$.
For $K\subseteq\mathbb{R}^n$, compact and sequentially compact are equivalent. Both are equivalent to closed and bounded.
If $K$ is compact and $F\subseteq K$ is closed, then $F$ is compact.
Given an open cover of $F$, add $\mathbb{R}^n\setminus F$ to obtain an open cover of $K$. Extract a finite subcover and drop the added set; what remains still covers $F$.
$[0,1]$ is compact whether viewed inside $\mathbb{R}$ or inside $\mathbb{R}^2$ as a segment. Open and closed are relative to an ambient space; compactness is not, because a cover by relatively open sets can always be traded for one by ambient open sets.
• Proving compactness by exhibiting one cover with a finite subcover.
The definition quantifies over all covers.
• Quoting "closed and bounded implies compact" outside $\mathbb{R}^n$. It
is exactly what fails in infinite dimensions.
• Forgetting that continuous images are compact but preimages need not be.
$\sin$ maps the non-compact $\mathbb{R}$ into the compact $[-1,1]$.
• Assuming an infinite intersection of compact sets could be empty. A
nested family of nonempty compact sets always has a common point.
Original problems written for this guide in the style of Spivak and Munkres exercises. Write a full solution before opening the answer.
Is $\{(x,y):x^2+y^2\le1,\ y>0\}$ compact?
Exhibit an open cover of $[0,1)$ with no finite subcover.
Prove every finite set is compact.
Are finite unions and arbitrary intersections of compact sets compact?
If $K_1\supseteq K_2\supseteq\cdots$ are nonempty compact sets, show $\bigcap_kK_k\ne\emptyset$.
For compact $K$ and a point $p\notin K$, show there is a nearest point of $K$ to $p$.
Show the closed unit ball of the space of bounded sequences is not compact.
If $f:[0,1]\to\mathbb{R}$ is continuous, is its graph compact in $\mathbb{R}^2$?
Course coverage. This unit is part of the complete MAT257Y1 topic map. It should cover the following items before you move on:
Use the current UofT MAT257Y1 calendar topics as the coverage spine, and pair lecture notes with Spivak's Calculus on Manifolds or Munkres' Analysis on Manifolds. The exact assigned textbook should still be checked against the instructor syllabus.
Compact gives closed and bounded always; the converse is Heine–Borel and needs $\mathbb{R}^n$. Sequential compactness is the equivalent form that is easiest to apply. Unit 3 spends the whole page cashing these in.
Use these after the main practice set. They are designed to force definition-level reasoning, theorem selection, and mixed application rather than routine calculation only.
State compactness in terms of covers.
Which half of Heine–Borel holds in any metric space?
Name a closed bounded set that is not compact.
What makes the bisection proof terminate?