Algebraic interior
In functional analysis, a branch of mathematics, the algebraic interior or radial kernel of a subset of a vector space is a refinement of the concept of the interior. It is the subset of points contained in a given set with respect to which it is absorbing, i.e. the radial points of the set.[1] The elements of the algebraic interior are often referred to as internal points.[2][3]
If is a linear subspace of and then the algebraic interior of with respect to is:[4]
where it is clear that and if then , where is the affine hull of (which is equal to ).
Algebraic Interior (Core)
The set is called the algebraic interior of or the core of and it is denoted by or . Formally, if is a vector space then the algebraic interior of is
If is non-empty, then these additional subsets are also useful for the statements of many theorems in convex functional analysis (such as the Ursescu theorem):
If is a Fréchet space, is convex, and is closed in then but in general it's possible to have while is not empty.
Example
If then , but and
Properties of core
If then:
- In general,
- If is a convex set then:
- and
- for all then
- is absorbing if and only if [1]
- [6]
- if [6]
Relation to interior
Let be a topological vector space, denote the interior operator, and then:
- If is nonempty convex and is finite-dimensional, then [2]
- If is convex with non-empty interior, then [7]
- If is a closed convex set and is a complete metric space, then [8]
Relative algebraic interior
If then the set is denoted by and it is called the relative algebraic interior of [6] This name stems from the fact that if and only if and (where if and only if ).
Relative interior
If is a subset of a topological vector space then the relative interior of is the set
That is, it is the topological interior of A in , which is the smallest affine linear subspace of containing The following set is also useful:
Quasi relative interior
If is a subset of a topological vector space then the quasi relative interior of is the set
In a Hausdorff finite dimensional topological vector space,
See also
- Bounding point – Mathematical concept related to subsets of vector spaces
- Interior (topology) – Largest open subset of some given set
- Quasi-relative interior – Generalization of algebraic interior
- Relative interior – Generalization of topological interior
- Order unit – Element of an ordered vector space
- Ursescu theorem – Generalization of closed graph, open mapping, and uniform boundedness theorem
References
- Jaschke, Stefan; Kuchler, Uwe (2000). "Coherent Risk Measures, Valuation Bounds, and ()-Portfolio Optimization".
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(help) - Aliprantis, C.D.; Border, K.C. (2007). Infinite Dimensional Analysis: A Hitchhiker's Guide (3rd ed.). Springer. pp. 199–200. doi:10.1007/3-540-29587-9. ISBN 978-3-540-32696-0.
- John Cook (May 21, 1988). "Separation of Convex Sets in Linear Topological Spaces" (pdf). Retrieved November 14, 2012.
- Zălinescu 2002, p. 2.
- Nikolaĭ Kapitonovich Nikolʹskiĭ (1992). Functional analysis I: linear functional analysis. Springer. ISBN 978-3-540-50584-6.
- Zălinescu, C. (2002). Convex analysis in general vector spaces. River Edge, NJ: World Scientific Publishing Co., Inc. pp. 2–3. ISBN 981-238-067-1. MR 1921556.
- Shmuel Kantorovitz (2003). Introduction to Modern Analysis. Oxford University Press. p. 134. ISBN 9780198526568.
- Bonnans, J. Frederic; Shapiro, Alexander (2000), Perturbation Analysis of Optimization Problems, Springer series in operations research, Springer, Remark 2.73, p. 56, ISBN 9780387987057.
- Zălinescu, Constantin (30 July 2002). Convex Analysis in General Vector Spaces. River Edge, N.J. London: World Scientific Publishing. ISBN 978-981-4488-15-0. MR 1921556. OCLC 285163112 – via Internet Archive.