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Closure of Sets

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Closed Sets in Topological Spaces→→Boundary of SetsDense Sets and Separability
closure operators

Core Idea

The closure of A, denoted cl(A) or Ā, is the intersection of all closed sets containing A (the smallest closed set containing A). cl(A) consists of A together with all its limit points. Properties: cl(cl(A)) = cl(A), A ⊆ cl(A), cl(A ∪ B) = cl(A) ∪ cl(B), cl(A ∩ B) ⊆ cl(A) ∩ cl(B).

Explainer

You know that a set is closed if and only if it contains all its limit points — the points that sequences from the set can converge toward. But what if a set is not closed? The closure operation "completes" the set by adjoining exactly the missing limit points: it produces the smallest closed set that contains A. Think of it as surrounding A with all the points that A is trying to reach but hasn't quite captured yet.

There are two equivalent ways to define cl(A), and switching between them depending on the problem is a key technique. The lattice definition: cl(A) = ∩ {F : F is closed and F ⊇ A}. This intersection works because arbitrary intersections of closed sets are closed (from your prerequisite), so the intersection is itself a closed set, and it's the smallest one containing A. The limit point definition: cl(A) = A ∪ {all limit points of A}, where x is a limit point of A if every open set containing x intersects A. In metric spaces these coincide with the sequential limit definition: x ∈ cl(A) iff there is a sequence in A converging to x.

Examples make the definition concrete. In ℝ: cl((0, 1)) = [0, 1] (the open interval's closure adds its two boundary points). cl(ℚ) = ℝ (every real number is a limit of rationals, so every real is a limit point of ℚ — the rationals are dense in ℝ, meaning their closure is all of ℝ). cl({1/n : n ≥ 1}) = {0} ∪ {1/n : n ≥ 1} (the only new limit point is 0, approached by the sequence 1, 1/2, 1/3, …). The closure of an already-closed set is itself, which is the content of the idempotence property: cl(cl(A)) = cl(A).

The four Kuratowski closure axioms characterize what a closure operator must be: (1) cl(∅) = ∅, (2) A ⊆ cl(A), (3) cl(cl(A)) = cl(A), (4) cl(A ∪ B) = cl(A) ∪ cl(B). Remarkably, any function satisfying these four axioms on a power set defines a topology — so the closure operator is an alternative, equivalent starting point for the whole theory. Notice the asymmetry between unions and intersections: cl(A ∪ B) = cl(A) ∪ cl(B) holds exactly, but cl(A ∩ B) ⊆ cl(A) ∩ cl(B) is only an inclusion. The counterexample: A = (0, 1) and B = (1, 2). Their intersection is empty, so cl(A ∩ B) = ∅. But cl(A) ∩ cl(B) = [0, 1] ∩ [1, 2] = {1}. The closure of the pieces sees their common boundary point even when the pieces themselves don't meet.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Set Operations: Union, Intersection, and Complement → Cartesian Products and Relations → Partial Orders → Binary Relations → Equivalence Relations → Topological Spaces: Definition and Examples → Open Sets in Topological Spaces → Closed Sets in Topological Spaces → Closure of Sets

Longest path: 77 steps · 329 total prerequisite topics

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