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Uniform Convergence Preserves Continuity

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Epsilon-Delta ContinuityUniform Convergence+3 moreInterchange of Limit and Integral
uniform-convergence continuity preservation

Core Idea

If (fₙ) converges uniformly to f and each fₙ is continuous, then f is continuous. This is the key theorem justifying when lim can be exchanged with continuity and derivatives. Pointwise convergence does not guarantee this: fₙ(x) = xⁿ on [0,1] is pointwise but not uniformly convergent to the discontinuous step function.

Explainer

Before engaging with the theorem, you need a sharp picture of the difference between pointwise and uniform convergence, which you have from your prerequisite. Pointwise convergence says: for each fixed x, fₙ(x) → f(x). The rate of convergence is allowed to depend on x — at some points the sequence might converge quickly, at others arbitrarily slowly. Uniform convergence says: for every ε > 0, there is a single N that works for *all* x simultaneously. Geometrically, uniform convergence means the graphs of fₙ eventually lie inside an ε-tube around the graph of f, with the tube width shrinking to zero.

The canonical example where pointwise fails is fₙ(x) = xⁿ on [0,1]. Each fₙ is continuous — a polynomial. But pointwise, fₙ(x) → 0 for x ∈ [0,1) and fₙ(1) = 1 for all n. The limiting function is 0 on [0,1) and 1 at x=1 — a discontinuous step. This is not a pathological edge case; it is the generic behavior when convergence is non-uniform. Near x=1, xⁿ does not become small quickly: for any ε and any N, you can find x close enough to 1 such that xᴺ > 1−ε. The convergence is fastest near 0 and arbitrarily slow near 1 — the speed varies with x, so pointwise convergence fails to protect continuity.

The theorem's proof is the classic three-ε argument (or ε/3 argument). To show f is continuous at a point x, you want |f(x) − f(y)| < ε for y sufficiently close to x. Split the difference into three parts: |f(x) − fₙ(x)| + |fₙ(x) − fₙ(y)| + |fₙ(y) − f(y)|. By uniform convergence, choose n large enough that the first and third terms are each less than ε/3 *for all points at once* — this is the step that requires uniformity, not just pointwise convergence. Then by continuity of fₙ, choose δ small enough that the middle term is less than ε/3 when |x − y| < δ. The three pieces sum to less than ε. The uniformity of convergence is precisely what allows you to choose n without depending on y — if convergence were merely pointwise, you could not control the third term independently of y.

The theorem has consequences that reach throughout analysis. It justifies swapping limits with continuity (lim fₙ is continuous), and its spirit extends to swapping limits with integrals: if fₙ → f uniformly on [a,b], then ∫fₙ → ∫f. This interchange-of-limits theme — knowing when lim and ∫ or lim and d/dx can be swapped — is one of the central problems of real analysis. Uniform convergence is the sufficient condition that makes these swaps legal, which is why the theorem is a foundational tool rather than an isolated result.

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 IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionSine, Cosine, and Tangent RatiosTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIndefinite IntegralsBasic Integration RulesRiemann SumsDefinite Integral DefinitionFundamental Theorem of Calculus Part 1Fundamental Theorem of Calculus Part 2U-SubstitutionPartial Fraction Decomposition for IntegrationImproper Integrals - ConvergenceIntegral TestP-SeriesComparison TestLimit Comparison TestSeries Convergence Test StrategyPower SeriesUniform Convergence of Power SeriesUniform ConvergenceUniform Convergence Preserves Continuity

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