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Closure of Sets

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Closed Sets in Topological SpacesBoundary 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 ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesSet Operations: Union, Intersection, and ComplementCartesian Products and RelationsPartial OrdersBinary RelationsEquivalence RelationsTopological Spaces: Definition and ExamplesOpen Sets in Topological SpacesClosed Sets in Topological SpacesClosure of Sets

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