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Hahn-Banach Theorem

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Dual Spaces and Bounded Linear FunctionalsLinear Functionals and Dual SpacesOpen 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 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 SpacesNeighborhoods and Open SetsOpen Sets in Topological SpacesBasis for a TopologyMetric TopologyCompleteness in Metric SpacesBanach SpacesBounded Linear OperatorsThe Operator NormDual Spaces and Bounded Linear FunctionalsHahn-Banach Theorem

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