Throughout, all vector spaces will be assumed to be over the field F {\displaystyle \mathbb {F} } of either the real numbers R {\displaystyle \mathbb {R} } or complex numbers C . {\displaystyle \mathbb {C} .}
Main article: Dual system
Let ( X , Y , ⟨ ⋅ , ⋅ ⟩ ) {\displaystyle (X,Y,\langle \cdot ,\cdot \rangle )} be a dual pair of vector spaces over the field F {\displaystyle \mathbb {F} } of real numbers R {\displaystyle \mathbb {R} } or complex numbers C . {\displaystyle \mathbb {C} .} For any B ⊆ X {\displaystyle B\subseteq X} and any y ∈ Y , {\displaystyle y\in Y,} define | y | B = sup x ∈ B | ⟨ x , y ⟩ | . {\displaystyle |y|_{B}=\sup _{x\in B}|\langle x,y\rangle |.}
Neither X {\displaystyle X} nor Y {\displaystyle Y} has a topology so say a subset B ⊆ X {\displaystyle B\subseteq X} is said to be bounded by a subset C ⊆ Y {\displaystyle C\subseteq Y} if | y | B < ∞ {\displaystyle |y|_{B}<\infty } for all y ∈ C . {\displaystyle y\in C.} So a subset B ⊆ X {\displaystyle B\subseteq X} is called bounded if and only if sup x ∈ B | ⟨ x , y ⟩ | < ∞ for all y ∈ Y . {\displaystyle \sup _{x\in B}|\langle x,y\rangle |<\infty \quad {\text{ for all }}y\in Y.} This is equivalent to the usual notion of bounded subsets when X {\displaystyle X} is given the weak topology induced by Y , {\displaystyle Y,} which is a Hausdorff locally convex topology.
Let B {\displaystyle {\mathcal {B}}} denote the family of all subsets B ⊆ X {\displaystyle B\subseteq X} bounded by elements of Y {\displaystyle Y} ; that is, B {\displaystyle {\mathcal {B}}} is the set of all subsets B ⊆ X {\displaystyle B\subseteq X} such that for every y ∈ Y , {\displaystyle y\in Y,} | y | B = sup x ∈ B | ⟨ x , y ⟩ | < ∞ . {\displaystyle |y|_{B}=\sup _{x\in B}|\langle x,y\rangle |<\infty .} Then the strong topology β ( Y , X , ⟨ ⋅ , ⋅ ⟩ ) {\displaystyle \beta (Y,X,\langle \cdot ,\cdot \rangle )} on Y , {\displaystyle Y,} also denoted by b ( Y , X , ⟨ ⋅ , ⋅ ⟩ ) {\displaystyle b(Y,X,\langle \cdot ,\cdot \rangle )} or simply β ( Y , X ) {\displaystyle \beta (Y,X)} or b ( Y , X ) {\displaystyle b(Y,X)} if the pairing ⟨ ⋅ , ⋅ ⟩ {\displaystyle \langle \cdot ,\cdot \rangle } is understood, is defined as the locally convex topology on Y {\displaystyle Y} generated by the seminorms of the form | y | B = sup x ∈ B | ⟨ x , y ⟩ | , y ∈ Y , B ∈ B . {\displaystyle |y|_{B}=\sup _{x\in B}|\langle x,y\rangle |,\qquad y\in Y,\qquad B\in {\mathcal {B}}.}
The definition of the strong dual topology now proceeds as in the case of a TVS. Note that if X {\displaystyle X} is a TVS whose continuous dual space separates points on X , {\displaystyle X,} then X {\displaystyle X} is part of a canonical dual system ( X , X ′ , ⟨ ⋅ , ⋅ ⟩ ) {\displaystyle \left(X,X^{\prime },\langle \cdot ,\cdot \rangle \right)} where ⟨ x , x ′ ⟩ := x ′ ( x ) . {\displaystyle \left\langle x,x^{\prime }\right\rangle :=x^{\prime }(x).} In the special case when X {\displaystyle X} is a locally convex space, the strong topology on the (continuous) dual space X ′ {\displaystyle X^{\prime }} (that is, on the space of all continuous linear functionals f : X → F {\displaystyle f:X\to \mathbb {F} } ) is defined as the strong topology β ( X ′ , X ) , {\displaystyle \beta \left(X^{\prime },X\right),} and it coincides with the topology of uniform convergence on bounded sets in X , {\displaystyle X,} i.e. with the topology on X ′ {\displaystyle X^{\prime }} generated by the seminorms of the form | f | B = sup x ∈ B | f ( x ) | , where f ∈ X ′ , {\displaystyle |f|_{B}=\sup _{x\in B}|f(x)|,\qquad {\text{ where }}f\in X^{\prime },} where B {\displaystyle B} runs over the family of all bounded sets in X . {\displaystyle X.} The space X ′ {\displaystyle X^{\prime }} with this topology is called strong dual space of the space X {\displaystyle X} and is denoted by X β ′ . {\displaystyle X_{\beta }^{\prime }.}
Suppose that X {\displaystyle X} is a topological vector space (TVS) over the field F . {\displaystyle \mathbb {F} .} Let B {\displaystyle {\mathcal {B}}} be any fundamental system of bounded sets of X {\displaystyle X} ; that is, B {\displaystyle {\mathcal {B}}} is a family of bounded subsets of X {\displaystyle X} such that every bounded subset of X {\displaystyle X} is a subset of some B ∈ B {\displaystyle B\in {\mathcal {B}}} ; the set of all bounded subsets of X {\displaystyle X} forms a fundamental system of bounded sets of X . {\displaystyle X.} A basis of closed neighborhoods of the origin in X ′ {\displaystyle X^{\prime }} is given by the polars: B ∘ := { x ′ ∈ X ′ : sup x ∈ B | x ′ ( x ) | ≤ 1 } {\displaystyle B^{\circ }:=\left\{x^{\prime }\in X^{\prime }:\sup _{x\in B}\left|x^{\prime }(x)\right|\leq 1\right\}} as B {\displaystyle B} ranges over B {\displaystyle {\mathcal {B}}} ). This is a locally convex topology that is given by the set of seminorms on X ′ {\displaystyle X^{\prime }} : | x ′ | B := sup x ∈ B | x ′ ( x ) | {\displaystyle \left|x^{\prime }\right|_{B}:=\sup _{x\in B}\left|x^{\prime }(x)\right|} as B {\displaystyle B} ranges over B . {\displaystyle {\mathcal {B}}.}
If X {\displaystyle X} is normable then so is X b ′ {\displaystyle X_{b}^{\prime }} and X b ′ {\displaystyle X_{b}^{\prime }} will in fact be a Banach space. If X {\displaystyle X} is a normed space with norm ‖ ⋅ ‖ {\displaystyle \|\cdot \|} then X ′ {\displaystyle X^{\prime }} has a canonical norm (the operator norm) given by ‖ x ′ ‖ := sup ‖ x ‖ ≤ 1 | x ′ ( x ) | {\displaystyle \left\|x^{\prime }\right\|:=\sup _{\|x\|\leq 1}\left|x^{\prime }(x)\right|} ; the topology that this norm induces on X ′ {\displaystyle X^{\prime }} is identical to the strong dual topology.
See also: Banach space § Bidual, Reflexive space, Semi-reflexive space, and Double dual
The bidual or second dual of a TVS X , {\displaystyle X,} often denoted by X ′ ′ , {\displaystyle X^{\prime \prime },} is the strong dual of the strong dual of X {\displaystyle X} : X ′ ′ := ( X b ′ ) ′ {\displaystyle X^{\prime \prime }\,:=\,\left(X_{b}^{\prime }\right)^{\prime }} where X b ′ {\displaystyle X_{b}^{\prime }} denotes X ′ {\displaystyle X^{\prime }} endowed with the strong dual topology b ( X ′ , X ) . {\displaystyle b\left(X^{\prime },X\right).} Unless indicated otherwise, the vector space X ′ ′ {\displaystyle X^{\prime \prime }} is usually assumed to be endowed with the strong dual topology induced on it by X b ′ , {\displaystyle X_{b}^{\prime },} in which case it is called the strong bidual of X {\displaystyle X} ; that is, X ′ ′ := ( X b ′ ) b ′ {\displaystyle X^{\prime \prime }\,:=\,\left(X_{b}^{\prime }\right)_{b}^{\prime }} where the vector space X ′ ′ {\displaystyle X^{\prime \prime }} is endowed with the strong dual topology b ( X ′ ′ , X b ′ ) . {\displaystyle b\left(X^{\prime \prime },X_{b}^{\prime }\right).}
Let X {\displaystyle X} be a locally convex TVS.
If X {\displaystyle X} is a barrelled space, then its topology coincides with the strong topology β ( X , X ′ ) {\displaystyle \beta \left(X,X^{\prime }\right)} on X {\displaystyle X} and with the Mackey topology on generated by the pairing ( X , X ′ ) . {\displaystyle \left(X,X^{\prime }\right).}
If X {\displaystyle X} is a normed vector space, then its (continuous) dual space X ′ {\displaystyle X^{\prime }} with the strong topology coincides with the Banach dual space X ′ {\displaystyle X^{\prime }} ; that is, with the space X ′ {\displaystyle X^{\prime }} with the topology induced by the operator norm. Conversely ( X , X ′ ) . {\displaystyle \left(X,X^{\prime }\right).} -topology on X {\displaystyle X} is identical to the topology induced by the norm on X . {\displaystyle X.}
Schaefer & Wolff 1999, p. 141. - Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135. https://search.worldcat.org/oclc/840278135 ↩
Schaefer & Wolff 1999, p. 142. - Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135. https://search.worldcat.org/oclc/840278135 ↩
Schaefer & Wolff 1999, p. 153. - Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135. https://search.worldcat.org/oclc/840278135 ↩
Narici & Beckenstein 2011, pp. 225–273. - Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834. https://search.worldcat.org/oclc/144216834 ↩