Uniform Convergence Preserves Continuity

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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

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication 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 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineOpposites and Additive InversesAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesLiteral EquationsSlope-Intercept FormPoint-Slope FormWriting Linear EquationsParallel and Perpendicular Line SlopesGraphing Linear EquationsPiecewise FunctionsOne-Sided LimitsContinuity DefinitionEpsilon-Delta ContinuitySequential Characterization of ContinuityUniform Convergence Preserves Continuity

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