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'''Dual cone''' and '''polar cone''' are closely related concepts in [[convex analysis]], a branch of [[mathematics]].
== Dual cone ==
The '''dual cone''' ''C{{sup|*}}'' of a [[subset]] ''C'' in a [[linear space]] ''X'', e.g. [[Euclidean space]] '''R'''<sup>''n''</sup>, with [[topological]] [[dual space]] ''X{{sup|*}}'' is the set▼
=== In a vector space ===
▲The '''dual cone''' ''C{{sup|*}}'' of a [[subset]] ''C'' in a [[linear space]] ''X'' over the [[real numbers|real]]s, e.g. [[Euclidean space]] '''R'''<sup>''n''</sup>, with
:<math>C^* = \left \{y\in X^*: \langle y , x \rangle \geq 0 \quad \forall x\in C \right \},</math>
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''C{{sup|*}}'' is always a [[convex cone]], even if ''C'' is neither [[convex set|convex]] nor a [[linear cone|cone]].
=== In a topological vector space ===
If ''X'' is a [[topological vector space]] over the real or complex numbers, then the '''dual cone''' of a subset ''C'' ⊆ ''X'' is the following set of continuous linear functionals on ''X'':
:<math>C^{\prime} := \left\{ f \in X^{\prime} : \operatorname{Re} \left( f (x) \right) \geq 0 \text{ for all } x \in C \right\}</math>.{{sfn | Schaefer | 1999 | pp=215–222}}
No matter what ''C'' is, ''C{{sup|\prime}}'' will be a convex cone.
If ''C'' ⊆ {0} then <math>C^{\prime} = X^{\prime}</math>.
=== In a Hilbert space (internal dual cone) ===
Alternatively, many authors define the dual cone in the context of a real [[Hilbert space]] (such as '''R'''<sup>''n''</sup> equipped with the Euclidean inner product) to be what is sometimes called the ''internal dual cone''.
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*''C{{sup|**}}'' is the closure of the smallest convex cone containing ''C'' (a consequence of the [[hyperplane separation theorem]])
== Self-dual cones ==
A cone ''C'' in a vector space ''X'' is said to be ''self-dual'' if ''X'' can be equipped with an [[inner product]] ⟨⋅,⋅⟩ such that the internal dual cone relative to this inner product is equal to ''C''.<ref>Iochum, Bruno, "Cônes autopolaires et algèbres de Jordan", Springer, 1984.</ref>
The nonnegative [[orthant]] of '''R'''<sup>''n''</sup> and the space of all [[positive semidefinite matrix|positive semidefinite matrices]] are self-dual, as are the cones with ellipsoidal base (often called "spherical cones", "Lorentz cones", or sometimes "ice-cream cones"). So are all cones in '''R'''<sup>3</sup> whose base is the convex hull of a regular polygon with an odd number of vertices. A less regular example is the cone in '''R'''<sup>3</sup> whose base is the "house": the convex hull of a square and a point outside the square forming an equilateral triangle (of the appropriate height) with one of the sides of the square.▼
Those authors who define the dual cone as the internal dual cone in a real Hilbert space usually say that a cone is self-dual if it is equal to its internal dual.
This is slightly different than the above definition, which permits a change of inner product.
For instance, the above definition makes a cone in '''R'''<sup>''n''</sup> with ellipsoidal base self-dual, because the inner product can be changed to make the base spherical, and a cone with spherical base in '''R'''<sup>''n''</sup> is equal to its internal dual.
▲The nonnegative [[orthant]] of '''R'''<sup>''n''</sup> and the space of all [[positive semidefinite matrix|positive semidefinite matrices]] are self-dual, as are the cones with ellipsoidal base (often called "spherical cones", "Lorentz cones", or sometimes "ice-cream cones").
So are all cones in '''R'''<sup>3</sup> whose base is the convex hull of a regular polygon with an odd number of vertices.
A less regular example is the cone in '''R'''<sup>3</sup> whose base is the "house": the convex hull of a square and a point outside the square forming an equilateral triangle (of the appropriate height) with one of the sides of the square.
== Polar cone ==▼
▲==Polar cone==
[[File:Polar cone illustration.svg|right|thumb|The polar of the closed convex cone ''C'' is the closed convex cone ''C<sup>o</sup>'', and vice versa.]]
For a set ''C'' in ''X'', the '''polar cone''' of ''C'' is the set<ref name="Rockafellar">{{cite book|author=[[Rockafellar, R. Tyrrell]]|title=Convex Analysis | publisher=Princeton University Press |___location=Princeton, NJ|year=1997|origyear=1970|isbn=978-0-691-01586-6|pages=121–122}}</ref>
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== See also ==
* [[Bipolar theorem]]
* [[Polar set]]
== References ==
{{Reflist}}
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| isbn = 0-8218-1990-9
}}
* {{cite book | last=Schaefer | first=Helmut H.| title=Topological Vector Spaces | publisher=Springer New York Imprint Springer | series=[[Graduate Texts in Mathematics|GTM]] | volume=3 | publication-place=New York, NY | year=1999 | isbn=978-1-4612-7155-0 | oclc=840278135 | ref=harv}} <!-- {{sfn | Schaefer | 1999 | p=}} -->
[[Category:Convex geometry]]
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