Hahn-Banach and Dual Spaces - Core Definitions
The Hahn-Banach Theorem is one of the three pillars of functional analysis, alongside the Uniform Boundedness Principle and the Open Mapping Theorem. It guarantees the existence of continuous linear functionals with prescribed properties.
Let be a vector space over . A function is sublinear if:
- Subadditivity: for all
- Positive Homogeneity: for all and
The norm on a normed space is an example of a sublinear functional.
Let be a real vector space, a sublinear functional, and a subspace. If is a linear functional satisfying then there exists a linear extension of such that
The theorem states that any linear functional dominated by a sublinear functional on a subspace can be extended to the whole space while preserving the domination condition.
Let be a normed space, a subspace, and a bounded linear functional. Then there exists such that:
- (extension property)
- (norm preservation)
This version is perhaps the most useful in applications. It guarantees that bounded linear functionals on subspaces can be extended to the whole space without increasing the norm.
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Existence of Functionals: For any nonzero , there exists with and
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Separation: If in a normed space, there exists with
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Dual Space is Large: The dual space is large enough to separate points in
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Best Approximation: The distance from a point to a subspace can be computed using dual functionals
The Hahn-Banach Theorem is an existence result that relies on Zorn's Lemma (equivalent to the Axiom of Choice). It typically does not provide an explicit formula for the extension, but guarantees that such an extension exists.
This theorem is fundamental to the study of dual spaces, convex analysis, and optimization theory. It ensures that the dual space is "rich" enough to capture the geometry of the original space.