In functional analysis and related areas of mathematics a polar topology, topology of G {\displaystyle {\mathcal {G}}} -convergence or topology of uniform convergence on the sets of G {\displaystyle {\mathcal {G}}} is a method to define locally convex topologies on the vector spaces of a pairing.
A pairing is a triple ( X , Y , b ) {\displaystyle (X,Y,b)} consisting of two vector spaces over a field K {\displaystyle \mathbb {K} } (either the real numbers or complex numbers) and a bilinear map b : X × Y → K . {\displaystyle b:X\times Y\to \mathbb {K} .} A dual pair or dual system is a pairing ( X , Y , b ) {\displaystyle (X,Y,b)} satisfying the following two separation axioms:
The polar or absolute polar of a subset A ⊆ X {\displaystyle A\subseteq X} is the set[1]
Dually, the polar or absolute polar of a subset B ⊆ Y {\displaystyle B\subseteq Y} is denoted by B ∘ , {\displaystyle B^{\circ },} and defined by
In this case, the absolute polar of a subset B ⊆ Y {\displaystyle B\subseteq Y} is also called the prepolar of B {\displaystyle B} and may be denoted by ∘ B . {\displaystyle {}^{\circ }B.}
The polar is a convex balanced set containing the origin.[2]
If A ⊆ X {\displaystyle A\subseteq X} then the bipolar of A , {\displaystyle A,} denoted by A ∘ ∘ , {\displaystyle A^{\circ \circ },} is defined by A ∘ ∘ = ∘ ( A ∘ ) . {\displaystyle A^{\circ \circ }={}^{\circ }(A^{\circ }).} Similarly, if B ⊆ Y {\displaystyle B\subseteq Y} then the bipolar of B {\displaystyle B} is defined to be B ∘ ∘ = ( ∘ B ) ∘ . {\displaystyle B^{\circ \circ }=\left({}^{\circ }B\right)^{\circ }.}
Suppose that ( X , Y , b ) {\displaystyle (X,Y,b)} is a pairing of vector spaces over K . {\displaystyle \mathbb {K} .}
The weak topology on X {\displaystyle X} induced by Y {\displaystyle Y} (and b {\displaystyle b} ) is the weakest TVS topology on X , {\displaystyle X,} denoted by σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} or simply σ ( X , Y ) , {\displaystyle \sigma (X,Y),} making all maps b ( ⋅ , y ) : X → K {\displaystyle b(\cdot ,y):X\to \mathbb {K} } continuous, as y {\displaystyle y} ranges over Y . {\displaystyle Y.} [3] Similarly, there are the dual definition of the weak topology on Y {\displaystyle Y} induced by X {\displaystyle X} (and b {\displaystyle b} ), which is denoted by σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} or simply σ ( Y , X ) {\displaystyle \sigma (Y,X)} : it is the weakest TVS topology on Y {\displaystyle Y} making all maps b ( x , ⋅ ) : Y → K {\displaystyle b(x,\cdot ):Y\to \mathbb {K} } continuous, as x {\displaystyle x} ranges over X . {\displaystyle X.} [3]
It is because of the following theorem that it is almost always assumed that the family G {\displaystyle {\mathcal {G}}} consists of σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -bounded subsets of X . {\displaystyle X.} [3]
Theorem—For any subset A ⊆ X , {\displaystyle A\subseteq X,} the following are equivalent:
The σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -bounded subsets of Y {\displaystyle Y} have an analogous characterization.
Every pairing ( X , Y , b ) {\displaystyle (X,Y,b)} can be associated with a corresponding pairing ( Y , X , b ^ ) {\displaystyle (Y,X,{\hat {b}})} where by definition b ^ ( y , x ) = b ( x , y ) . {\displaystyle {\hat {b}}(y,x)=b(x,y).} [3]
There is a repeating theme in duality theory, which is that any definition for a pairing ( X , Y , b ) {\displaystyle (X,Y,b)} has a corresponding dual definition for the pairing ( Y , X , b ^ ) . {\displaystyle (Y,X,{\hat {b}}).}
For instance, after defining " X {\displaystyle X} distinguishes points of Y {\displaystyle Y} " (resp, " S {\displaystyle S} is a total subset of Y {\displaystyle Y} ") as above, then the dual definition of " Y {\displaystyle Y} distinguishes points of X {\displaystyle X} " (resp, " S {\displaystyle S} is a total subset of X {\displaystyle X} ") is immediately obtained. For instance, once σ ( X , Y ) {\displaystyle \sigma (X,Y)} is defined then it should be automatically assume that σ ( Y , X ) {\displaystyle \sigma (Y,X)} has been defined without mentioning the analogous definition. The same applies to many theorems.
In particular, although this article will only define the general notion of polar topologies on Y {\displaystyle Y} with G {\displaystyle {\mathcal {G}}} being a collection of σ ( X , Y ) {\displaystyle \sigma (X,Y)} -bounded subsets of X , {\displaystyle X,} this article will nevertheless use the dual definition for polar topologies on X {\displaystyle X} with G {\displaystyle {\mathcal {G}}} being a collection of σ ( Y , X ) {\displaystyle \sigma (Y,X)} -bounded subsets of Y . {\displaystyle Y.}
Although it is technically incorrect and an abuse of notation, the following convention is nearly ubiquitous:
Throughout, ( X , Y , b ) {\displaystyle (X,Y,b)} is a pairing of vector spaces over the field K {\displaystyle \mathbb {K} } and G {\displaystyle {\mathcal {G}}} is a non-empty collection of σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -bounded subsets of X . {\displaystyle X.}
For every G ∈ G {\displaystyle G\in {\mathcal {G}}} and r > 0 , {\displaystyle r>0,} r G ∘ = r ( G ∘ ) {\displaystyle rG^{\circ }=r\left(G^{\circ }\right)} is convex and balanced and because G {\displaystyle G} is a σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -bounded, the set r G ∘ {\displaystyle rG^{\circ }} is absorbing in Y . {\displaystyle Y.}
The polar topology on Y {\displaystyle Y} determined (or generated) by G {\displaystyle {\mathcal {G}}} (and b {\displaystyle b} ), also called the G {\displaystyle {\mathcal {G}}} -topology on Y {\displaystyle Y} or the topology of uniform convergence on the sets of G , {\displaystyle {\mathcal {G}},} is the unique topological vector space (TVS) topology on Y {\displaystyle Y} for which
forms a neighbourhood subbasis at the origin.[3] When Y {\displaystyle Y} is endowed with this G {\displaystyle {\mathcal {G}}} -topology then it is denoted by Y G . {\displaystyle Y_{\mathcal {G}}.}
If ( r i ) i = 1 ∞ {\displaystyle \left(r_{i}\right)_{i=1}^{\infty }} is a sequence of positive numbers converging to 0 {\displaystyle 0} then the defining neighborhood subbasis at 0 {\displaystyle 0} may be replaced with
without changing the resulting topology.
When G {\displaystyle {\mathcal {G}}} is a directed set with respect to subset inclusion (i.e. if for all G , H ∈ G , {\displaystyle G,H\in {\mathcal {G}},} there exists some K ∉ G {\displaystyle K\not \in {\mathcal {G}}} such that G ∪ H ⊆ K {\displaystyle G\cup H\subseteq K} ) then the defining neighborhood subbasis at the origin actually forms a neighborhood basis at 0. {\displaystyle 0.} [3]
Every G ∈ G {\displaystyle G\in {\mathcal {G}}} determines a seminorm p G : Y → R {\displaystyle p_{G}:Y\to \mathbb {R} } defined by
where G ∘ = { y ∈ Y : p G ( y ) ≤ 1 } {\displaystyle G^{\circ }=\left\{y\in Y:p_{G}(y)\leq 1\right\}} and p G {\displaystyle p_{G}} is in fact the Minkowski functional of G ∘ . {\displaystyle G^{\circ }.} Because of this, the G {\displaystyle {\mathcal {G}}} -topology on Y {\displaystyle Y} is always a locally convex topology.[3]
If every positive scalar multiple of a set in G {\displaystyle {\mathcal {G}}} is contained in some set belonging to G {\displaystyle {\mathcal {G}}} then the defining neighborhood subbasis at the origin can be replaced with
The following theorem gives ways in which G {\displaystyle {\mathcal {G}}} can be modified without changing the resulting G {\displaystyle {\mathcal {G}}} -topology on Y . {\displaystyle Y.}
Theorem[3]—Let ( X , Y , b ) {\displaystyle (X,Y,b)} is a pairing of vector spaces over K {\displaystyle \mathbb {K} } and let G {\displaystyle {\mathcal {G}}} be a non-empty collection of σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -bounded subsets of X . {\displaystyle X.} The G {\displaystyle {\mathcal {G}}} -topology on Y {\displaystyle Y} is not altered if G {\displaystyle {\mathcal {G}}} is replaced by any of the following collections of [ σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -bounded] subsets of X {\displaystyle X} :
It is because of this theorem that many authors often require that G {\displaystyle {\mathcal {G}}} also satisfy the following additional conditions:
Some authors[4] further assume that every x ∈ X {\displaystyle x\in X} belongs to some set G ∈ G {\displaystyle G\in {\mathcal {G}}} because this assumption suffices to ensure that the G {\displaystyle {\mathcal {G}}} -topology is Hausdorff.
If ( y i ) i ∈ I {\displaystyle \left(y_{i}\right)_{i\in I}} is a net in Y {\displaystyle Y} then ( y i ) i ∈ I → 0 {\displaystyle \left(y_{i}\right)_{i\in I}\to 0} in the G {\displaystyle {\mathcal {G}}} -topology on Y {\displaystyle Y} if and only if for every G ∈ G , {\displaystyle G\in {\mathcal {G}},} p G ( y i ) = sup g ∈ G | b ( g , y i ) | → 0 , {\displaystyle p_{G}(y_{i})=\sup _{g\in G}|b(g,y_{i})|\to 0,} or in words, if and only if for every G ∈ G , {\displaystyle G\in {\mathcal {G}},} the net of linear functionals ( b ( ⋅ , y i ) ) i ∈ I {\displaystyle (b(\cdot ,y_{i}))_{i\in I}} on X {\displaystyle X} converges uniformly to 0 {\displaystyle 0} on G {\displaystyle G} ; here, for each i ∈ I , {\displaystyle i\in I,} the linear functional b ( ⋅ , y i ) {\displaystyle b(\cdot ,y_{i})} is defined by x ↦ b ( x , y i ) . {\displaystyle x\mapsto b(x,y_{i}).}
If y ∈ Y {\displaystyle y\in Y} then ( y i ) i ∈ I → y {\displaystyle \left(y_{i}\right)_{i\in I}\to y} in the G {\displaystyle {\mathcal {G}}} -topology on Y {\displaystyle Y} if and only if for all G ∈ G , {\displaystyle G\in {\mathcal {G}},} p G ( y i − y ) = sup | b ( G , y i − y ) | → 0. {\displaystyle p_{G}\left(y_{i}-y\right)=\sup \left|b\left(G,y_{i}-y\right)\right|\to 0.}
A filter F {\displaystyle {\mathcal {F}}} on Y {\displaystyle Y} converges to an element y ∈ Y {\displaystyle y\in Y} in the G {\displaystyle {\mathcal {G}}} -topology on Y {\displaystyle Y} if F {\displaystyle {\mathcal {F}}} converges uniformly to y {\displaystyle y} on each G ∈ G . {\displaystyle G\in {\mathcal {G}}.}
Theorem—Let ( X , Y , b ) {\displaystyle (X,Y,b)} be a pairing of vector spaces over the field K {\displaystyle \mathbb {K} } and G {\displaystyle {\mathcal {G}}} be a non-empty collection of σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -bounded subsets of X . {\displaystyle X.} Then,
Proof of (2): If Y = { 0 } {\displaystyle Y=\{0\}} then we're done, so assume otherwise. Since the G {\displaystyle {\mathcal {G}}} -topology on Y {\displaystyle Y} is a TVS topology, it suffices to show that the set { 0 } {\displaystyle \{0\}} is closed in Y . {\displaystyle Y.} Let y ∈ Y {\displaystyle y\in Y} be non-zero, let f : X → K {\displaystyle f:X\to \mathbb {K} } be defined by f ( x ) = b ( x , y ) {\displaystyle f(x)=b(x,y)} for all x ∈ X , {\displaystyle x\in X,} and let V = { s ∈ K : | s | > 1 } . {\displaystyle V=\left\{s\in \mathbb {K} :|s|>1\right\}.}
Since X {\displaystyle X} distinguishes points of Y , {\displaystyle Y,} there exists some (non-zero) x ∈ X {\displaystyle x\in X} such that f ( x ) ≠ 0 {\displaystyle f(x)\neq 0} where (since f {\displaystyle f} is surjective) it can be assumed without loss of generality that | f ( x ) | > 1. {\displaystyle |f(x)|>1.} The set U = f − 1 ( V ) {\displaystyle U=f^{-1}(V)} is a σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -open subset of X {\displaystyle X} that is not empty (since it contains x {\displaystyle x} ). Since ⋃ G ∈ G G {\displaystyle \bigcup \nolimits _{G\in {\mathcal {G}}}G} is a σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -dense subset of X {\displaystyle X} there exists some G ∈ G {\displaystyle G\in {\mathcal {G}}} and some g ∈ G {\displaystyle g\in G} such that g ∈ U . {\displaystyle g\in U.} Since g ∈ U , {\displaystyle g\in U,} | b ( g , y ) | > 1 {\displaystyle |b(g,y)|>1} so that y ∉ G ∘ , {\displaystyle y\not \in G^{\circ },} where G ∘ {\displaystyle G^{\circ }} is a subbasic closed neighborhood of the origin in the G {\displaystyle {\mathcal {G}}} -topology on Y . {\displaystyle Y.} ■
Throughout, ( X , Y , b ) {\displaystyle (X,Y,b)} will be a pairing of vector spaces over the field K {\displaystyle \mathbb {K} } and G {\displaystyle {\mathcal {G}}} will be a non-empty collection of σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -bounded subsets of X . {\displaystyle X.}
The following table will omit mention of b . {\displaystyle b.} The topologies are listed in an order that roughly corresponds with coarser topologies first and the finer topologies last; note that some of these topologies may be out of order e.g. c ( X , Y , b ) {\displaystyle c(X,Y,b)} and the topology below it (i.e. the topology generated by σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} -complete and bounded disks) or if σ ( X , Y , b ) {\displaystyle \sigma (X,Y,b)} is not Hausdorff. If more than one collection of subsets appears the same row in the left-most column then that means that the same polar topology is generated by these collections.
For any x ∈ X , {\displaystyle x\in X,} a basic σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -neighborhood of x {\displaystyle x} in X {\displaystyle X} is a set of the form:
for some real r > 0 {\displaystyle r>0} and some finite set of points y 1 , … , y n {\displaystyle y_{1},\ldots ,y_{n}} in Y . {\displaystyle Y.} [3]
The continuous dual space of ( Y , σ ( Y , X , b ) ) {\displaystyle (Y,\sigma (Y,X,b))} is X , {\displaystyle X,} where more precisely, this means that a linear functional f {\displaystyle f} on Y {\displaystyle Y} belongs to this continuous dual space if and only if there exists some x ∈ X {\displaystyle x\in X} such that f ( y ) = b ( x , y ) {\displaystyle f(y)=b(x,y)} for all y ∈ Y . {\displaystyle y\in Y.} [3] The weak topology is the coarsest TVS topology on Y {\displaystyle Y} for which this is true.
In general, the convex balanced hull of a σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -compact subset of Y {\displaystyle Y} need not be σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -compact.[3]
If X {\displaystyle X} and Y {\displaystyle Y} are vector spaces over the complex numbers (which implies that b {\displaystyle b} is complex valued) then let X R {\displaystyle X_{\mathbb {R} }} and Y R {\displaystyle Y_{\mathbb {R} }} denote these spaces when they are considered as vector spaces over the real numbers R . {\displaystyle \mathbb {R} .} Let Re b {\displaystyle \operatorname {Re} b} denote the real part of b {\displaystyle b} and observe that ( X R , Y R , Re b ) {\displaystyle \left(X_{\mathbb {R} },Y_{\mathbb {R} },\operatorname {Re} b\right)} is a pairing. The weak topology σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} on Y {\displaystyle Y} is identical to the weak topology σ ( X R , Y R , Re b ) . {\displaystyle \sigma \left(X_{\mathbb {R} },Y_{\mathbb {R} },\operatorname {Re} b\right).} This ultimately stems from the fact that for any complex-valued linear functional f {\displaystyle f} on Y {\displaystyle Y} with real part r := Re f . {\displaystyle r:=\operatorname {Re} f.} then
The continuous dual space of ( Y , τ ( Y , X , b ) ) {\displaystyle (Y,\tau (Y,X,b))} is X {\displaystyle X} (in the exact same way as was described for the weak topology). Moreover, the Mackey topology is the finest locally convex topology on Y {\displaystyle Y} for which this is true, which is what makes this topology important.
Since in general, the convex balanced hull of a σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -compact subset of Y {\displaystyle Y} need not be σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -compact,[3] the Mackey topology may be strictly coarser than the topology c ( X , Y , b ) . {\displaystyle c(X,Y,b).} Since every σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -compact set is σ ( Y , X , b ) {\displaystyle \sigma (Y,X,b)} -bounded, the Mackey topology is coarser than the strong topology b ( X , Y , b ) . {\displaystyle b(X,Y,b).} [3]
A neighborhood basis (not just a subbasis) at the origin for the β ( Y , X , b ) {\displaystyle \beta (Y,X,b)} topology is:[3]
The strong topology β ( Y , X , b ) {\displaystyle \beta (Y,X,b)} is finer than the Mackey topology.[3]
Throughout this section, X {\displaystyle X} will be a topological vector space (TVS) with continuous dual space X ′ {\displaystyle X'} and ( X , X ′ , ⟨ ⋅ , ⋅ ⟩ ) {\displaystyle (X,X',\langle \cdot ,\cdot \rangle )} will be the canonical pairing, where by definition ⟨ x , x ′ ⟩ = x ′ ( x ) . {\displaystyle \langle x,x'\rangle =x'(x).} The vector space X {\displaystyle X} always distinguishes/separates the points of X ′ {\displaystyle X'} but X ′ {\displaystyle X'} may fail to distinguishes the points of X {\displaystyle X} (this necessarily happens if, for instance, X {\displaystyle X} is not Hausdorff), in which case the pairing ( X , X ′ , ⟨ ⋅ , ⋅ ⟩ ) {\displaystyle (X,X',\langle \cdot ,\cdot \rangle )} is not a dual pair. By the Hahn–Banach theorem, if X {\displaystyle X} is a Hausdorff locally convex space then X ′ {\displaystyle X'} separates points of X {\displaystyle X} and thus ( X , X ′ , ⟨ ⋅ , ⋅ ⟩ ) {\displaystyle (X,X',\langle \cdot ,\cdot \rangle )} forms a dual pair.
Throughout, X {\displaystyle X} will be a TVS over the field K {\displaystyle \mathbb {K} } with continuous dual space X ′ {\displaystyle X'} and X {\displaystyle X} and X ′ {\displaystyle X'} will be associated with the canonical pairing. The table below defines many of the most common polar topologies on X ′ . {\displaystyle X'.}
The reason why some of the above collections (in the same row) induce the same polar topologies is due to some basic results. A closed subset of a complete TVS is complete and that a complete subset of a Hausdorff and complete TVS is closed.[7] Furthermore, in every TVS, compact subsets are complete[7] and the balanced hull of a compact (resp. totally bounded) subset is again compact (resp. totally bounded).[8] Also, a Banach space can be complete without being weakly complete.
If B ⊆ X {\displaystyle B\subseteq X} is bounded then B ∘ {\displaystyle B^{\circ }} is absorbing in X ′ {\displaystyle X'} (note that being absorbing is a necessary condition for B ∘ {\displaystyle B^{\circ }} to be a neighborhood of the origin in any TVS topology on X ′ {\displaystyle X'} ).[2] If X {\displaystyle X} is a locally convex space and B ∘ {\displaystyle B^{\circ }} is absorbing in X ′ {\displaystyle X'} then B {\displaystyle B} is bounded in X . {\displaystyle X.} Moreover, a subset S ⊆ X {\displaystyle S\subseteq X} is weakly bounded if and only if S ∘ {\displaystyle S^{\circ }} is absorbing in X ′ . {\displaystyle X'.} For this reason, it is common to restrict attention to families of bounded subsets of X . {\displaystyle X.}
The σ ( X ′ , X ) {\displaystyle \sigma (X',X)} topology has the following properties:
If X {\displaystyle X} is a Fréchet space then the topologies γ ( X ′ , X ) = c ( X ′ , X ) . {\displaystyle \gamma \left(X',X\right)=c\left(X',X\right).}
If X {\displaystyle X} is a Fréchet space or a LF-space then c ( X ′ , X ) {\displaystyle c(X',X)} is complete.
Suppose that X {\displaystyle X} is a metrizable topological vector space and that W ′ ⊆ X ′ . {\displaystyle W'\subseteq X'.} If the intersection of W ′ {\displaystyle W'} with every equicontinuous subset of X ′ {\displaystyle X'} is weakly-open, then W ′ {\displaystyle W'} is open in c ( X ′ , X ) . {\displaystyle c(X',X).}
Banach–Alaoglu theorem: An equicontinuous subset K ⊆ X ′ {\displaystyle K\subseteq X'} has compact closure in the topology of uniform convergence on precompact sets. Furthermore, this topology on K {\displaystyle K} coincides with the σ ( X ′ , X ) {\displaystyle \sigma (X',X)} topology.
By letting G {\displaystyle {\mathcal {G}}} be the set of all convex balanced weakly compact subsets of X , {\displaystyle X,} X ′ {\displaystyle X'} will have the Mackey topology on X ′ {\displaystyle X'} or the topology of uniform convergence on convex balanced weakly compact sets, which is denoted by τ ( X ′ , X ) {\displaystyle \tau (X',X)} and X ′ {\displaystyle X'} with this topology is denoted by X τ ( X ′ , X ) ′ . {\displaystyle X'_{\tau (X',X)}.}
Due to the importance of this topology, the continuous dual space of X b ′ {\displaystyle X'_{b}} is commonly denoted simply by X ″ . {\displaystyle X''.} Consequently, ( X b ′ ) ′ = X ″ . {\displaystyle (X'_{b})'=X''.}
The b ( X ′ , X ) {\displaystyle b(X',X)} topology has the following properties:
By letting G ′ ′ {\displaystyle {\mathcal {G}}\,'\,'} be the set of all convex balanced weakly compact subsets of X ″ = ( X b ′ ) ′ , X ′ {\displaystyle X''=\left(X'_{b}\right)',X'} will have the Mackey topology on X ′ {\displaystyle X'} induced by X ″ {\displaystyle X''} or the topology of uniform convergence on convex balanced weakly compact subsets of X ″ {\displaystyle X''} , which is denoted by τ ( X ′ , X ″ ) {\displaystyle \tau (X',X'')} and X ′ {\displaystyle X'} with this topology is denoted by X τ ( X ′ , X ″ ) ′ . {\displaystyle X'_{\tau (X',X'')}.}
Throughout, X {\displaystyle X} will be a TVS over the field K {\displaystyle \mathbb {K} } with continuous dual space X ′ {\displaystyle X'} and the canonical pairing will be associated with X {\displaystyle X} and X ′ . {\displaystyle X'.} The table below defines many of the most common polar topologies on X . {\displaystyle X.}
The closure of an equicontinuous subset of X ′ {\displaystyle X'} is weak-* compact and equicontinuous and furthermore, the convex balanced hull of an equicontinuous subset is equicontinuous.
Suppose that X {\displaystyle X} and Y {\displaystyle Y} are Hausdorff locally convex spaces with X {\displaystyle X} metrizable and that u : X → Y {\displaystyle u:X\to Y} is a linear map. Then u : X → Y {\displaystyle u:X\to Y} is continuous if and only if u : σ ( X , X ′ ) → σ ( Y , Y ′ ) {\displaystyle u:\sigma \left(X,X'\right)\to \sigma \left(Y,Y'\right)} is continuous. That is, u : X → Y {\displaystyle u:X\to Y} is continuous when X {\displaystyle X} and Y {\displaystyle Y} carry their given topologies if and only if u {\displaystyle u} is continuous when X {\displaystyle X} and Y {\displaystyle Y} carry their weak topologies.
If G ′ {\displaystyle {\mathcal {G}}'} was the set of all convex balanced weakly compact equicontinuous subsets of X ′ , {\displaystyle X',} then the same topology would have been induced.
If X {\displaystyle X} is locally convex and Hausdorff then X {\displaystyle X} 's given topology (i.e. the topology that X {\displaystyle X} started with) is exactly ε ( X , X ′ ) . {\displaystyle \varepsilon (X,X').} That is, for X {\displaystyle X} Hausdorff and locally convex, if E ⊂ X ′ {\displaystyle E\subset X'} then E {\displaystyle E} is equicontinuous if and only if E ∘ {\displaystyle E^{\circ }} is equicontinuous and furthermore, for any S ⊆ X , {\displaystyle S\subseteq X,} S {\displaystyle S} is a neighborhood of the origin if and only if S ∘ {\displaystyle S^{\circ }} is equicontinuous.
Importantly, a set of continuous linear functionals H {\displaystyle H} on a TVS X {\displaystyle X} is equicontinuous if and only if it is contained in the polar of some neighborhood U {\displaystyle U} of the origin in X {\displaystyle X} (i.e. H ⊆ U ∘ {\displaystyle H\subseteq U^{\circ }} ). Since a TVS's topology is completely determined by the open neighborhoods of the origin, this means that via operation of taking the polar of a set, the collection of equicontinuous subsets of X ′ {\displaystyle X'} "encode" all information about X {\displaystyle X} 's topology (i.e. distinct TVS topologies on X {\displaystyle X} produce distinct collections of equicontinuous subsets, and given any such collection one may recover the TVS original topology by taking the polars of sets in the collection). Thus uniform convergence on the collection of equicontinuous subsets is essentially "convergence on the topology of X {\displaystyle X} ".
Suppose that X {\displaystyle X} is a locally convex Hausdorff space. If X {\displaystyle X} is metrizable or barrelled then X {\displaystyle X} 's original topology is identical to the Mackey topology τ ( X , X ′ ) . {\displaystyle \tau \left(X,X'\right).} [11]
Let X {\displaystyle X} be a vector space and let Y {\displaystyle Y} be a vector subspace of the algebraic dual of X {\displaystyle X} that separates points on X . {\displaystyle X.} If τ {\displaystyle \tau } is any other locally convex Hausdorff topological vector space topology on X , {\displaystyle X,} then τ {\displaystyle \tau } is compatible with duality between X {\displaystyle X} and Y {\displaystyle Y} if when X {\displaystyle X} is equipped with τ , {\displaystyle \tau ,} then it has Y {\displaystyle Y} as its continuous dual space. If X {\displaystyle X} is given the weak topology σ ( X , Y ) {\displaystyle \sigma (X,Y)} then X σ ( X , Y ) {\displaystyle X_{\sigma (X,Y)}} is a Hausdorff locally convex topological vector space (TVS) and σ ( X , Y ) {\displaystyle \sigma (X,Y)} is compatible with duality between X {\displaystyle X} and Y {\displaystyle Y} (i.e. X σ ( X , Y ) ′ = ( X σ ( X , Y ) ) ′ = Y {\displaystyle X_{\sigma (X,Y)}'=\left(X_{\sigma (X,Y)}\right)'=Y} ). The question arises: what are all of the locally convex Hausdorff TVS topologies that can be placed on X {\displaystyle X} that are compatible with duality between X {\displaystyle X} and Y {\displaystyle Y} ? The answer to this question is called the Mackey–Arens theorem.