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Let <math>C\subseteq V</math>, where <math>V</math> is a ]. | |||
In ], most commonly in ], an '''extreme set''' or '''face''' of a set <math>C\subseteq V</math> in a ] <math>V</math> is a subset <math>F\subseteq C</math> with the property that if for any two points <math>x,y\in C</math> some in-between point <math>z=\theta x + (1-\theta) y,\theta\in</math> lies in <math>F</math>, then we must have had <math>x,y\in F</math>.{{sfn|Narici|Beckenstein|2011|pp=275-339}} | |||
<!--That is, if a point <math>p\in F</math> lies between some points <math>x,y\in C</math>, then <math>x,y\in F</math>.--> | |||
An ''']''' of <math>C</math> is a point <math>p\in C</math> |
An ''']''' of <math>C</math> is a point <math>p\in C</math> for which <math>\{p\}</math> is a face.{{sfn|Narici|Beckenstein|2011|pp=275-339}} | ||
<!--That is, if <math>p</math> lies between some points <math>x,y\in C</math>, then <math>x=y=p</math>.--> | |||
An ''']''' of <math>C</math> is the subset of points of <math>C</math> where a linear functional achieves its minimum on <math>C</math>. Thus, if <math>f</math> is a linear functional on <math>V</math> and <math>\alpha =\inf\{ |
An ''']''' of <math>C</math> is the subset of points of <math>C</math> where a linear functional achieves its minimum on <math>C</math>. Thus, if <math>f</math> is a linear functional on <math>V</math> and <math>\alpha =\inf\{ f(c)\ \colon c\in C\}>-\infty</math>, then <math> \{c\in C\ \colon f(c)=\alpha\}</math> is an exposed face of <math>C</math>. | ||
An ''']''' of <math>C</math> is a point <math>p\in C</math> such that <math>\{p\}</math> is an exposed face |
An ''']''' of <math>C</math> is a point <math>p\in C</math> such that <math>\{p\}</math> is an exposed face. That is, <math>f(p) > f(c)</math> for all <math>c\in C\setminus\{p\}</math>. | ||
⚫ | An exposed face is a face, but the converse is not true (see the figure). An exposed face of <math>C</math> is convex if <math>C</math> is convex. | ||
⚫ | |||
⚫ | If <math>F</math> is a face of <math>C\subseteq V</math>, then <math>E\subseteq F</math> is a face of <math>F</math> if and only if <math> E</math> is a face of <math> C</math>. | ||
⚫ | == Competing definitions == | ||
Some authors do not include <math>C</math> and/or <math>\varnothing</math> among the (exposed) faces. Some authors require <math>F</math> and/or <math>C</math> to be ] (else the boundary of a disc is a face of the disc, as well as any subset of the boundary) or closed. Some authors require the functional <math>f</math> to be continuous in a given ]. | Some authors do not include <math>C</math> and/or <math>\varnothing</math> among the (exposed) faces. Some authors require <math>F</math> and/or <math>C</math> to be ] (else the boundary of a disc is a face of the disc, as well as any subset of the boundary) or closed. Some authors require the functional <math>f</math> to be continuous in a given ]. | ||
=== Facts === | |||
⚫ | An exposed face is |
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⚫ | If <math>F</math> is a face of <math>C\subseteq V</math>, then <math>E\subseteq F</math> is a face of <math>F</math> |
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==See also== | ==See also== |
Latest revision as of 13:41, 17 January 2025
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In mathematics, most commonly in convex geometry, an extreme set or face of a set in a vector space is a subset with the property that if for any two points some in-between point lies in , then we must have had .
An extreme point of is a point for which is a face.
An exposed face of is the subset of points of where a linear functional achieves its minimum on . Thus, if is a linear functional on and , then is an exposed face of .
An exposed point of is a point such that is an exposed face. That is, for all .
An exposed face is a face, but the converse is not true (see the figure). An exposed face of is convex if is convex. If is a face of , then is a face of if and only if is a face of .
Competing definitions
Some authors do not include and/or among the (exposed) faces. Some authors require and/or to be convex (else the boundary of a disc is a face of the disc, as well as any subset of the boundary) or closed. Some authors require the functional to be continuous in a given vector topology.
See also
References
- ^ Narici & Beckenstein 2011, pp. 275–339.
Bibliography
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
External links
- VECTOR SPACES AND CONTINUOUS LINEAR FUNCTIONALS, Chapter III of FUNCTIONAL ANALYSIS, Lawrence Baggett, University of Colorado Boulder.
- Analysis, Peter Philip, Ludwig-Maximilians-universität München, 2024