Definition:Sublinear Functional
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Definition
Let $E$ be a vector space over $\R$.
A real-valued function $p: E \to \R$ is called a sublinear functional if and only if it satisfies:
\((1)\) | $:$ | Subadditivity: | \(\ds \forall x, y \in E:\) | \(\ds \map p {x + y} \) | \(\ds \le \) | \(\ds \map p x + \map p y \) | |||
\((2)\) | $:$ | Positive Homogeneity: | \(\ds \forall x \in E, \forall \lambda \in \R_{>0}:\) | \(\ds \map p {\lambda x} \) | \(\ds = \) | \(\ds \lambda \map p x \) |
Also known as
A sublinear functional is also sometimes referred to as a Minkowski functional.
However, the notion of a Minkowski functional has been defined on $\mathsf{Pr} \infty \mathsf{fWiki}$ as a more specialised concept, so will not be used here.
Also see
- Results about sublinear functionals can be found here.
Sources
- 2020: James C. Robinson: Introduction to Functional Analysis ... (previous) ... (next) $19.1$: The Hahn-Banach Theorem: Real Case