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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

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 → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Fundamental Theorem of Calculus Part 1 → Fundamental Theorem of Calculus Part 2 → U-Substitution → Partial Fraction Decomposition for Integration → Improper Integrals - Convergence → Integral Test → P-Series → Comparison Test → Limit Comparison Test → Series Convergence Test Strategy → Power Series → Uniform Convergence of Power Series → Uniform Convergence → Uniform Convergence Preserves Continuity

Longest path: 99 steps · 462 total prerequisite topics

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