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Continuous Functions in Topological Spaces

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Open Sets in Topological SpacesHomeomorphisms and Topological EquivalenceHomotopy of Paths+4 more
continuity fundamental

Core Idea

A function f: X → Y is continuous if for every open set V in Y, the preimage f⁻¹(V) is open in X. This generalizes ε-δ continuity and works in any topological context.

Explainer

Your prerequisite, open sets in topology, defined what it means for a collection of subsets to constitute a topology: the whole space and the empty set are open, arbitrary unions of open sets are open, and finite intersections of open sets are open. Now, with two topological spaces X and Y, you need a notion of "continuous function" that captures the same idea as ε-δ continuity but without distances. The topological definition does this elegantly: f: X → Y is continuous if for every open set V ⊆ Y, the preimage f⁻¹(V) = {x ∈ X : f(x) ∈ V} is open in X.

To see why this generalizes ε-δ, consider X = Y = ℝ with the standard (metric) topology. An open set in ℝ is a union of open intervals. The ε-δ condition says: for every ε > 0 and every x, there exists δ > 0 such that |x − y| < δ implies |f(x) − f(y)| < ε. In other words, every open ball around f(x) (the set (f(x)−ε, f(x)+ε)) has an open ball around x mapping into it — which is exactly saying that the preimage of any open interval around f(x) contains an open interval around x, which is exactly saying that preimages of open sets are open. The two definitions coincide on ℝ.

The preimage definition is asymmetric in a way that demands explanation: why preimages, not images? The answer is that continuous functions need not send open sets to open sets. The constant function f(x) = 0 sends every open set to the single point {0}, which is not open in ℝ. Functions that do map open sets to open sets — called open maps — are a separate, strictly stronger condition. The topological definition of continuity is correctly one-directional: open sets pull back to open sets.

Thinking in terms of preimages reframes what continuity means: a function is continuous when the topology on the *domain* is at least as fine as the topology induced by the *codomain* via f. If V is "declared open" in Y, then f⁻¹(V) must be "declared open" in X — the topology on X must respect what f sees as open structure in Y. This perspective makes it easy to compare topologies (the coarser the topology on Y, the easier continuity is to achieve) and to define new topologies from functions (the initial topology and quotient topology are both defined via this preimage condition). The definition you have here is not just a generalization of ε-δ; it is the right structural concept that makes the rest of topology work.

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 EquivalencesDe Morgan's LawsNegation of Quantified StatementsProof by ContradictionTopological Spaces: Definition and ExamplesOpen Sets in Topological SpacesContinuous Functions in Topological Spaces

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