How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Hahn-Banach dominated extension theorem for real vector spaces
Statement
Assume the Axiom of Choice. Let be a real vector space, let be a linear subspace, let be sublinear, and let be linear with for every . Then there exists a linear functional such that and for every .
Facts & Assumptions
Given: The Axiom of Choice, a real vector space , a linear subspace , a sublinear functional , and a linear functional with on .
The one-step extension problem over has a nonempty interval of admissible values for (The admissible values in a one-step Hahn-Banach extension form a nonempty interval).
The union of a chain of dominated extensions is again a well-defined dominated extension (The union of a chain of dominated extensions is a well-defined dominated linear functional).
Assuming the Axiom of Choice, a nonempty poset in which every chain has an upper bound has a maximal element (Zorn's lemma).
Proof
Let be the set of all pairs such that , the set is a linear subspace of , the map is linear, , and on . Order by extension: The pair lies in , so this poset is nonempty.
Let be a chain. If , then is an upper bound for it. If , [L2] applies to the union of its domains and yields a well-defined linear functional dominated by ; because every chain element extends , that union functional still extends . Hence every chain in has an upper bound in .
By [L3], choose a maximal element of . If , choose . Applying [L1] to the dominated functional on the subspace produces a dominated linear extension on . Then , contradicting maximality. Therefore .
Since the maximal domain is all of , the corresponding functional is the required dominated extension of .
Depends on
Used by
- Bauer maximum principle Corollary
- Dual unit ball has extreme points Corollary
- The L² unit sphere is not weakly sequentially closed in infinite dimensions Counterexample
- Coercive monotone p-growth diffusion fluxes Definition
- A Banach limit obtained from Hahn-Banach Example
- Distance to a subspace via annihilating functionals Example
- Bounded density and finite-vector transitivity for C*-representations Lemma
- Convex supports, localization, and the Lipschitz dual gradient Lemma
- Enflo's Walsh-block assembly Lemma
- Nondentability produces a vector measure without density Lemma
- The Cameron–Martin unit ball is compact in the Banach norm Lemma
- The Markov-Kakutani fixed point theorem for abelian affine actions Lemma
- Tracial standard form, normal functional vectors, and expectation Lemma
- Uncorrelated jointly Gaussian Banach random elements are independent Lemma
- Weak compactness of bounded space-time Sobolev gradients Lemma
- Weak lower semicontinuity of the Sobolev norm Lemma
- The set-theoretic cost of Hahn-Banach Remark
- A bounded real linear functional on a subspace of a real normed space extends with the same norm Theorem
- Borell concentration for the norm of a separable Banach Gaussian Theorem
- Borell–Sudakov–Tsirelson expansion for a Banach Gaussian law Theorem
- Cameron–Martin translation formula for a separable Banach Gaussian Theorem
- Conditional monotone finite-element convergence Theorem
- Discrete TPFA Rellich compactness and physical weak gradients Theorem
- Dunford--Pettis for real L¹ on a finite measure space Theorem
- Existence of a shift-invariant mean on bounded sequences Theorem
- Fernique integrability for a separable Banach Gaussian law Theorem
- Gaussian concentration-function sieve bounds Theorem
- Hörmander's weighted L2 existence theorem for the dbar equation Theorem
- hᵖ is the Poisson image of Lp for 1<p<=infinity Theorem
- Krein–Milman closed-convex-hull form Theorem
- Krein–Milman existence of extreme points Theorem
- Pettis measurability criterion for strong measurability Theorem
- Reflexive approximation property implies metric approximation property Theorem
- Reflexive spaces have the Radon--Nikodym property Theorem
- Separable dual spaces have the Radon--Nikodym property Theorem
- Separate a point from an open convex set Theorem
- The Banach Gaussian covariance and RKHS construction is well-defined Theorem
- The measurable Riemann mapping theorem on the sphere Theorem
- The support of a Banach Gaussian is the closure of its RKHS Theorem
Dependency tree · two levels
12 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Daniel Daners, Introduction to Functional Analysis, Theorem 26.1 (standard reference, not scraped)
- Gerald Teschl, Topics in Real and Functional Analysis, Theorem 4.13 (standard reference, not scraped)