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Hahn-Banach Theorem

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Dual Spaces and Bounded Linear FunctionalsLinear Functionals and Dual Spaces→→Open Mapping Theorem
functional-analysis

Core Idea

The Hahn-Banach theorem states that any bounded linear functional on a subspace of a normed space extends to a bounded functional on the whole space with the same norm. This is a cornerstone result ensuring the dual space is rich and enabling point separation.

Explainer

From your study of linear functionals and dual spaces, you know that the dual X* of a normed space X is the collection of all bounded linear functionals φ: X → ℝ, equipped with the operator norm ||φ|| = sup{ |φ(x)| : ||x|| ≤ 1 }. A natural question arises: if you have only defined a functional on a *subspace* of X, can you extend it to the whole space without distorting it? The Hahn-Banach theorem answers yes: if Y is a subspace of a normed space X and φ: Y → ℝ is a bounded linear functional, then there exists a bounded linear functional Φ: X → ℝ such that Φ(y) = φ(y) for all y ∈ Y, and ||Φ|| = ||φ||. The extension is norm-preserving — it doesn't enlarge the functional.

Why is this non-trivial? In finite-dimensional spaces, you can always extend a linear functional by choosing values on a basis — the problem is algebraically straightforward. But in infinite-dimensional Banach spaces, a subspace can be dense in the whole space, and extensions must be compatible with limits in a topologically subtle way. The proof uses Zorn's lemma (a form of the axiom of choice) to handle the infinite-dimensional case: you extend one dimension at a time and invoke maximality to assert the process terminates at a full extension.

The theorem has two standard formulations. The analytic form (above) handles normed spaces. The geometric form says that a convex set and a point outside it can be separated by a hyperplane — a separating hyperplane whose existence is guaranteed by Hahn-Banach. Both versions express the same underlying richness of the dual space. In finite dimensions, this geometric fact is visually obvious (draw a tangent hyperplane to a convex set); Hahn-Banach lifts it to infinite dimensions.

The consequences are far-reaching. Most importantly, Hahn-Banach guarantees that the dual space separates points: for any two distinct x₁, x₂ ∈ X, there exists a functional φ ∈ X* with φ(x₁) ≠ φ(x₂). This means the dual contains enough functionals to distinguish every element. Without Hahn-Banach, the dual might be trivially small — containing only the zero functional — and the entire theory of weak convergence, reflexivity, and duality in Banach spaces would collapse. It is in this sense the theorem is called a cornerstone: not because it gives you a formula, but because it certifies the dual space is rich enough to do mathematics with.

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 → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → De Morgan's Laws → Negation of Quantified Statements → Proof by Contradiction → Topological Spaces: Definition and Examples → Open Sets in Topological Spaces → Neighborhoods and Open Sets → Open Sets in Topological Spaces → Basis for a Topology → Metric Topology → Completeness in Metric Spaces → Banach Spaces → Bounded Linear Operators → The Operator Norm → Dual Spaces and Bounded Linear Functionals → Hahn-Banach Theorem

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