Topologies on spaces of linear maps

In mathematics, a linear map is a mapping V  W between two modules (including vector spaces) that preserves the operations of addition and scalar multiplication.

By studying the linear maps between two modules one can gain insight into their structures. If the modules have additional structure, like topologies or bornologies, then one can study the subspace of linear maps that preserve this structure.

Topologies of uniform convergence

Suppose that T is any set and that 𝒢 is a collection of subsets of T directed by inclusion. Suppose in addition that Y is a topological vector space (not necessarily Hausdorff or locally convex) and that 𝒩 is a basis of neighborhoods of 0 in Y. Then the set of all functions from T into Y, YT, can be given a unique translation-invariant topology by defining a basis of neighborhoods of 0 in YT, to be

as G and N range over all G 𝒢 and N 𝒩. This topology does not depend on the basis 𝒩 that was chosen and it is known as the topology of uniform convergence on the sets in 𝒢 or as the 𝒢-topology.[1] In practice, 𝒢 usually consists of a collection of sets with certain properties and this name is changed appropriately to reflect this set so that if, for instance, 𝒢 is the collection of compact subsets of T (and T is a topological space), then this topology is called the topology of uniform convergence on the compact subsets of T.

A subset 𝒢1 of 𝒢 is said to be fundamental with respect to 𝒢 if each G 𝒢 is a subset of some element in 𝒢1. In this case, the collection 𝒢 can be replaced by 𝒢1 without changing the topology on YT.[1]

However, the 𝒢-topology on YT is not necessarily compatible with the vector space structure of YT or of any of its vector subspaces (that is, it is not necessarily a topological vector space topology on YT). Suppose that F is a vector subspace of YT so that it inherits the subspace topology from YT. Then the 𝒢-topology on F is compatible with the vector space structure of F if and only if for every G 𝒢 and every fF, f(G) is bounded in Y.[1]

We will be using a TVS X in place of T and F will be the vector space of all continuous linear maps from X into a TVS Y; so by only considering families 𝒢 of bounded subsets of X, the sets 𝒰(G, N) (which will be the neighborhoods of the origin) on F will necessarily be absorbing in F.

Inherited properties

  • Local convexity: If Y is locally convex then so is the 𝒢-topology on YT and if is a family of continuous seminorms generating this topology on Y then the 𝒢-topology is induced by the following family of seminorms: , as G varies over 𝒢 and varies over all indices.[2]
  • Hausdorff: If Y is Hausdorff and T is a topological space such that is dense in T then the 𝒢-topology on the subspace of YT consisting of all continuous maps is Hausdorff. If the topological space T is also a topological vector space, then the condition that be dense in T can be replaced by the weaker condition that the linear span of this set be dense in T, in which case we say that this set is total in T.[3]
  • Boundedness: Let H be a subset of YT. Then H is bounded in the 𝒢-topology if and only if for every G 𝒢, is bounded in Y.[2]

𝒢-topologies on spaces of continuous linear maps

Throughout this section we will assume that X and Y are topological vector spaces and we will let L(X, Y), denote the vector space of all continuous linear maps from X into Y. If L(X, Y) is given the 𝒢-topology inherited from YX then this space with this topology is denoted by L𝒢(X, Y). The 𝒢-topology on L(X, Y) is compatible with the vector space structure of L(X, Y) if and only if for all G 𝒢 and all fL(X, Y) the set f(G) is bounded in Y, which we will assume to be the case for the rest of the article. Note in particular that this is the case if 𝒢 consists of (von-Neumann) bounded subsets of X.

Often, 𝒢 is required to consist entirely of bounded subsets of X and to satisfy the following axioms:

𝒢1:If G1, G2 𝒢 then there exists a G 𝒢 such that .
𝒢2:If G1 𝒢 and is a scalar then there exists a G 𝒢 such that .

If 𝒢 is a bornology on X. which is often the case, then these axioms are satisfied. If 𝒢 is a saturated family of bounded subsets of X then these axioms are also satisfied.

Properties

Completeness

For the following theorems, suppose that X is a topological vector space and Y is a locally convex Hausdorff spaces and 𝒢 is a collection of bounded subsets of X that satisfies axioms 𝒢1 and 𝒢2 and forms a covering of X.

  • L𝒢(X; Y) is complete if
  1. X is locally convex and Hausdorff,
  2. Y is complete, and
  3. whenever u : X Y is a linear map then u restricted to every set G 𝒢 is continuous implies that u is continuous,
  • If X is a Mackey space then L𝒢(X; Y) is complete if and only if both and Y are complete.
  • If X is barrelled then L𝒢(X; Y) is Hausdorff and quasi-complete.
  • Let X and Y be TVSs with Y quasi-complete and assume that (1) X is barreled, or else (2) X is a Baire space and X and Y are locally convex. If 𝒢 covers X then every closed equicontinuous subset of L(X; Y) is complete in L𝒢(X; Y) and L𝒢(X; Y) is quasi-complete.[4]
  • Let X be a bornological space, Y a locally convex space, and 𝒢 a family of bounded subsets of X such that the range of every null sequence in X is contained in some G 𝒢. If Y is quasi-complete (resp. complete) then so is L𝒢(X; Y).[5]
Boundedness

Let X and Y be topological vector space and H be a subset of L(X; Y). Then the following are equivalent:[2]

  • H is bounded in L𝒢(X; Y),
  • For every G 𝒢, is bounded in Y,
  • For every neighborhood of 0, V, in Y the set absorbs every G 𝒢.

Furthermore,

  • If X and Y are locally convex Hausdorff space and if H is bounded in (i.e. pointwise bounded or simply bounded) then it is bounded in the topology of uniform convergence on the convex, balanced, bounded, complete subsets of X.[6]
  • If X and Y are locally convex Hausdorff spaces and if X is quasi-complete (i.e. closed and bounded subsets are complete), then the bounded subsets of L(X; Y)' are identical for all 𝒢-topologies where 𝒢 is any family of bounded subsets of X covering X.[6]
  • If 𝒢 is any collection of bounded subsets of X whose union is total in X then every equicontinuous subset of L(X; Y) is bounded in the 𝒢-topology.[4]

Examples

("topology of uniform convergence on ...") Notation Name ("topology of...") Alternative name
finite subsets of X Lσ(X; Y) pointwise/simple convergence topology of simple convergence
precompact subsets of X precompact convergence
compact convex subsets of X Lγ(X; Y) compact convex convergence
compact subsets of X Lc(X; Y) compact convergence
bounded subsets of X Lb(X; Y) bounded convergence strong topology

The topology of pointwise convergence Lσ(X; Y)

By letting 𝒢 be the set of all finite subsets of X, L(X; Y) will have the weak topology on L(X; Y) or the topology of pointwise convergence or the topology of simple convergence and L(X; Y) with this topology is denoted by . A subset of L(X; Y) is called simply bounded or weakly bounded if it is bounded in .

The weak-topology on L(X; Y) has the following properties:

  • If X is separable (i.e. has a countable dense subset) and if Y is a metrizable topological vector space then every equicontinuous subset H of is metrizable; if in addition Y is separable then so is H.[7]
    • So in particular, on every equicontinuous subset of L(X; Y), the topology of pointwise convergence is metrizable.
  • Let YX denote the space of all functions from X into Y. If is given the topology of pointwise convergence then space of all linear maps (continuous or not) X into Y is closed in YX.
    • In addition, L(X; Y) is dense in the space of all linear maps (continuous or not) X into Y.
  • Suppose X and Y are locally convex. Any simply bounded subset of L(X; Y) is bounded when L(X; Y) has the topology of uniform convergence on convex, balanced, bounded, complete subsets of X. If in addition X is quasi-complete then the families of bounded subsets of L(X; Y) are identical for all 𝒢-topologies on L(X; Y) such that 𝒢 is a family of bounded sets covering X.[6]
Equicontinuous subsets
  • The weak-closure of an equicontinuous subset of L(X; Y) is equicontinuous.
  • If Y is locally convex, then the convex balanced hull of an equicontinuous subset of L(X; Y) is equicontinuous.
  • Let X and Y be TVSs and assume that (1) X is barreled, or else (2) X is a Baire space and X and Y are locally convex. Then every simply bounded subset of L(X; Y) is equicontinuous.[4]
  • On an equicontinuous subset H of L(X; Y), the following topologies are identical: (1) topology of pointwise convergence on a total subset of X; (2) the topology of pointwise convergence; (3) the topology of precompact convergence.[4]

Compact convergence Lc(X; Y)

By letting 𝒢 be the set of all compact subsets of X, L(X; Y) will have the topology of compact convergence or the topology of uniform convergence on compact sets and L(X; Y) with this topology is denoted by Lc(X; Y).

The topology of compact convergence on L(X; Y) has the following properties:

  • If X is a Fréchet space or a LF-space and if Y is a complete locally convex Hausdorff space then Lc(X; Y) is complete.
  • On equicontinuous subsets of L(X; Y), the following topologies coincide:
    • The topology of pointwise convergence on a dense subset of X,
    • The topology of pointwise convergence on X,
    • The topology of compact convergence.
    • The topology of precompact convergence.
  • If X is a Montel space and Y is a topological vector space, then Lc(X; Y) and Lb(X; Y) have identical topologies.

Strong topology Lb(X; Y)

By letting 𝒢 be the set of all bounded subsets of X, L(X; Y) will have the topology of bounded convergence on X or the topology of uniform convergence on bounded sets and L(X; Y) with this topology is denoted by Lb(X; Y).

The topology of bounded convergence on L(X; Y) has the following properties:

  • If X is a bornological space and if Y is a complete locally convex Hausdorff space then Lb(X; Y) is complete.
  • If X and Y are both normed spaces then Lb(X; Y) is a normed space with the usual operator norm.
  • Every equicontinuous subset of L(X; Y) is bounded in Lb(X; Y).

𝒢-topologies on the continuous dual space

The continuous dual space of a topological vector space X over the field (which we will assume to be real or complex numbers) is the vector space and is denoted by .

When dealing with topologies on the continuous dual space of X, rather than using the notation for neighborhoods of the origin, we instead describe these sets in terms of polar sets. The polar of a subset S of X is the set:

where . If B X is bounded then is absorbing in (note that being absorbing is a necessary condition for to be a neighborhood of the origin in any TVS topology on ).[8] If X is a locally convex space and is absorbing in then B is bounded in X. Moreover, a subset S of X is weakly bounded if and only if is absorbing in . Therefore, we restrict our attention to families of bounded subsets of X. We assume that the family 𝒢 of bounded subsets of X satisfies axioms 𝒢1 and 𝒢2 so that

forms a basis of neighborhoods of 0 for a locally convex TVS topology on , called the 𝒢-topology or the topology of uniform convergence on set in 𝒢, where endowed with this topology is denoted by .

Properties

We have the following basic properties where X and Y are topological vector spaces (not necessarily Hausdorff or locally convex):

  • A basis of neighborhoods of 0 for is formed, as G varies over 𝒢, by the polar sets .
    • A filter on converges to an element in the 𝒢-topology on if uniformly to on each G 𝒢.
    • If G ⊆ X is bounded then is absorbing, so 𝒢 usually consists of bounded subsets of X.
  • is locally convex,
  • If is dense in X then is Hausdorff.
  • If covers X then the canonical map from X into is well-defined. That is, for all the evaluation functional on (i.e. ) is continuous on .
    • If in addition separates points on X then the canonical map of X into is an injection.
  • Suppose that is a continuous linear and that 𝒢 and are collections of bounded subsets of X and Y, respectively, that each satisfy axioms 𝒢1 and 𝒢2. Then u's transpose, is continuous if for every G 𝒢 there is a such that u(G) ⊆ H.[9]
    • In particular, the transpose of u is continuous if carries the (respectively, , , ) topology and carry any topology stronger than the topology (respectively, , , ).
  • If X is a locally convex Hausdorff TVS over the field and 𝒢 is a collection of bounded subsets of X that satisfies axioms 𝒢1 and 𝒢2 then the bilinear map defined by is continuous if and only if X is normable and the 𝒢-topology on is the strong dual topology .
  • Suppose that X is a Fréchet space and 𝒢 is a collection of bounded subsets of X that satisfies axioms 𝒢1 and 𝒢2. If 𝒢 contains all compact subsets of X then is complete.
("topology of uniform convergence on ...") Notation Name ("topology of...") Alternative name
finite subsets of X σ(X', X) pointwise/simple convergence weak/weak* topology
precompact subsets precompact convergence
compact convex subsets of X γ(X', X) compact convex convergence
compact subsets of X c(X', X) compact convergence
bounded subsets of X b(X', X) bounded convergence strong (dual) topology
convex balanced weakly compact subsets of X τ(X', X) Mackey topology
convex balanced complete bounded subsets of X convex balanced complete bounded convergence
convex balanced infracomplete bounded subsets of X convex balanced infracomplete bounded convergence

Weak/weak* topology σ(X', X)

By letting 𝒢 be the set of all finite subsets of X, will have the weak topology on more commonly known as the weak* topology or the topology of pointwise convergence, which is denoted by and with this topology is denoted by or by if there may be ambiguity.

The topology has the following properties:

  • Alaoglu-Bourbaki Theorem: Every equicontinuous subset of is relatively compact for .[10]
  • Theorem (S. Banach): Suppose that X and Y are Fréchet spaces or that they are duals of reflexive Fréchet spaces and that is a continuous linear map. Then is surjective if and only if the transpose of , , is one-to-one and the range of is weakly closed in .
  • Suppose that X and Y are Fréchet spaces, Z is a Hausdorff locally convex space and that is a separately-continuous bilinear map. Then is continuous.
    • In particular, any separately continuous bilinear maps from the product of two duals of reflexive Fréchet spaces into a third one is continuous.
  • is normable if and only if X is finite-dimensional.
  • When X is infinite-dimensional the topology on is strictly less fine than the strong dual topology .
  • The -closure of the convex balanced hull of an equicontinuous subset of is equicontinuous and -compact.
  • Suppose that X is a locally convex Hausdorff space and that is its completion. If then is strictly finer than .
  • Any equicontinuous subset in the dual of a separable Hausdorff locally convex vector space is metrizable in the topology.

Compact-convex convergence γ(X', X)

By letting 𝒢 be the set of all compact convex subsets of X, will have the topology of compact convex convergence or the topology of uniform convergence on compact convex sets, which is denoted by and with this topology is denoted by or by .

  • If X is a Fréchet space then the topologies .

Compact convergence c(X', X)

By letting 𝒢 be the set of all compact subsets of X, will have the topology of compact convergence or the topology of uniform convergence on compact sets, which is denoted by and with this topology is denoted by or by .

  • If X is a Fréchet space or a LF-space then is complete.
  • Suppose that X is a metrizable topological vector space and that . If the intersection of with every equicontinuous subset of is weakly-open, then is open in .

Precompact convergence

By letting 𝒢 be the set of all precompact subsets of X, will have the topology of precompact convergence or the topology of uniform convergence on precompact sets.

  • Alaoglu–Bourbaki Theorem: An equicontinuous subset K of has compact closure in the topology of uniform convergence on precompact sets. Furthermore, this topology on K coincides with the topology.

Mackey topology τ(X', X)

By letting 𝒢 be the set of all convex balanced weakly compact subsets of X, will have the Mackey topology on or the topology of uniform convergence on convex balanced weakly compact sets, which is denoted by and with this topology is denoted by .

Strong dual topology b(X', X)

By letting 𝒢 be the set of all bounded subsets of X, will have the topology of bounded convergence on X or the topology of uniform convergence on bounded sets or the strong dual topology on , which is denoted by and with this topology is denoted by or by . Due to its importance, the continuous dual space of is commonly denoted by (so ).

The topology has the following properties:

  • If X is locally convex, then this topology is finer than all other 𝒢-topologies on when considering only 𝒢's whose sets are subsets of X.
  • If X is a bornological space (ex: metrizable or LF-space) then is complete.
  • If X is a normed space then the strong dual topology on may be defined by the norm , where .[11]
  • If X is a LF-space that is the inductive limit of the sequence of space (for ) then is a Fréchet space if and only if all are normable.
  • If X is a Montel space then
    • has the Heine–Borel property (i.e. every closed and bounded subset of is compact in )
    • On bounded subsets of , the strong and weak topologies coincide (and hence so do all other topologies finer than and coarser than ).
    • Every weakly convergent sequence in is strongly convergent.

Mackey topology τ(X', X ' ')

By letting be the set of all convex balanced weakly compact subsets of , will have the Mackey topology on induced by ' or the topology of uniform convergence on convex balanced weakly compact subsets of , which is denoted by and with this topology is denoted by .

  • This topology is finer than and hence finer than .

𝒢-topologies on X induced by the continuous dual

There is a canonical map from X into which maps an element to the following map: . By using this canonical map we can identify X as being contained in the continuous dual of i.e. contained in . In fact, this canonical map is onto, which means that so that we can through this canonical isomorphism think of X as the continuous dual space of . Note that it is a common convention that if an equal sign appears between two sets which are clearly not equal, then the equality really means that the sets are isomorphic through some canonical map.

Since we are now regarding X as the continuous dual space of , we can look at non-empty families of subsets of , say , and construct a dual space topology on the dual of , which is X. A basis of neighborhoods of 0 for is formed by the polar sets as varies over .

("topology of uniform convergence on ...") Notation Name ("topology of...") Alternative name
finite subsets of X' σ(X, X') pointwise/simple convergence weak topology
equicontinuous subsets of X' ε(X, X') equicontinuous convergence
compact convex subsets of X' γ(X, X') compact convex convergence
compact subsets of X' c(X, X') compact convergence
bounded subsets of X' b(X, X') bounded convergence strong (dual) topology
convex balanced weakly compact subsets of X' τ(X, X') Mackey topology

Weak topology σ(X, X')

By letting be the set of all finite subsets of , X will have the weak topology or the topology of pointwise convergence on , which is denoted by and X with this topology is denoted by or by if there may be ambiguity.

  • Suppose that X and Y are Hausdorff locally convex spaces with X metrizable and that is a linear map. Then is continuous if and only if is continuous. That is, is continuous when X and Y carry their given topologies if and only if is continuous when X and Y carry their weak topologies.

Convergence on equicontinuous sets ε(X, X')

By letting be the set of all equicontinuous subsets , X will have the topology of uniform convergence on equicontinuous subsets of , which is denoted by and X with this topology is denoted by or by .

  • If was the set of all convex balanced weakly compact equicontinuous subsets of , then the same topology would have been induced.
  • If X is locally convex and Hausdorff then X's given topology (i.e. the topology that X started with) is exactly .

Importantly, a set of continuous linear functionals H on a TVS X is equicontinuous if and only if it is contained in the polar of some neighborhood U of 0 in X (i.e. ). 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 "encode" all information about X's topology (i.e. distinct TVS topologies on 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".

Bounded convergence b(X, X')

By letting 𝒢 be the set of all bounded subsets of X, will have the topology of bounded convergence or the topology of uniform convergence on bounded sets, which is denoted by and with this topology is denoted by or by .

Mackey topology τ(X, X')

By letting be the set of all convex balanced weakly compact subsets of , X will have the Mackey topology on X or the topology of uniform convergence on convex balanced weakly compact subsets of , which is denoted by and X with this topology is denoted by or by .

  • Suppose that X is a locally convex Hausdorff space. If X is metrizable or barrelled then X's original topology is identical to the Mackey topology .[12]

The Mackey–Arens theorem

Let X be a vector space and let Y be a vector subspace of the algebraic dual of X that separates points on X. If 𝜏 is any other locally convex Hausdorff topological vector space topology on X, then we say that 𝜏 is compatible with duality between X and Y if when X is equipped with 𝜏, then it has Y as its continuous dual space. If we give X the weak topology then is a Hausdorff locally convex topological vector space (TVS) and is compatible with duality between X and Y (i.e. ). We can now ask the question: what are all of the locally convex Hausdorff TVS topologies that we can place on X that are compatible with duality between X and Y? The answer to this question is called the Mackey–Arens theorem:[13]

Theorem. Let X be a vector space and let be a locally convex Hausdorff topological vector space topology on X. Let denote the continuous dual space of X and let denote X with the topology . Then the following are equivalent:

  1. is identical to a -topology on X, where is a covering of consisting of convex, balanced, -compact sets with the properties that
    1. If then there exists a such that , and
    2. If and is a scalar then there exists a such that .
  2. The continuous dual of is identical to .

And furthermore,

  1. the topology is identical to the topology, that is, to the topology of uniform on convergence on the equicontinuous subsets of .
  2. the Mackey topology is the finest locally convex Hausdorff TVS topology on X that is compatible with duality between X and , and
  3. the weak topology is the weakest locally convex Hausdorff TVS topology on X that is compatible with duality between X and .

𝒢-ℋ-topologies on spaces of bilinear maps

We will let ℬ(X, Y; Z) denote the space of separately continuous bilinear maps and B(X, Y; Z) denote the space of continuous bilinear maps, where X, Y, and Z are topological vector space over the same field (either the real or complex numbers). In an analogous way to how we placed a topology on L(X, Y) we can place a topology on ℬ(X, Y; Z) and B(X, Y; Z).

Let 𝒢 (resp. ℋ) be a family of subsets of X (resp. Y) containing at least one non-empty set. Let 𝒢 × ℋ denote the collection of all sets G × H where G 𝒢, H ℋ. We can place on the 𝒢 × ℋ-topology, and consequently on any of its subsets, in particular on B(X, Y; Z) and on ℬ(X, Y; Z). This topology is known as the 𝒢-ℋ-topology or as the topology of uniform convergence on the products G × H of 𝒢 × ℋ.

However, as before, this topology is not necessarily compatible with the vector space structure of ℬ(X, Y; Z) or of B(X, Y; Z) without the additional requirement that for all bilinear maps, b in this space (that is, in ℬ(X, Y; Z) or in B(X, Y; Z)) and for all G 𝒢 and H ℋ, the set b(G, H) is bounded in X. If both 𝒢 and ℋ consist of bounded sets then this requirement is automatically satisfied if we are topologizing B(X, Y; Z) but this may not be the case if we are trying to topologize ℬ(X, Y; Z). The 𝒢-ℋ-topology on ℬ(X, Y; Z) will be compatible with the vector space structure of ℬ(X, Y; Z) if both 𝒢 and ℋ consists of bounded sets and any of the following conditions hold:

  • X and Y are barrelled spaces and Z is locally convex.
  • X is a F-space, Y is metrizable, and Z is Hausdorff, in which case ℬ(X, Y; Z) = B(X, Y; Z).
  • X, Y, and Z are the strong duals of reflexive Fréchet spaces.
  • X is normed and Y and Z the strong duals of reflexive Fréchet spaces.

The ε-topology

Suppose that X, Y, and Z are locally convex spaces and let 𝒢' and ℋ' be the collections of equicontinuous subsets of and , respectively. Then the 𝒢'-ℋ'-topology on will be a topological vector space topology. This topology is called the ε-topology and with this topology it is denoted by or simply by .

Part of the importance of this vector space and this topology is that it contains many subspace, such as , which we denote by . When this subspace is given the subspace topology of it is denoted by .

In the instance where Z is the field of these vector spaces, is a tensor product of X and Y. In fact, if X and Y are locally convex Hausdorff spaces then is vector space-isomorphic to , which is in turn is equal to .

These spaces have the following properties:

  • If X and Y are locally convex Hausdorff spaces then is complete if and only if both X and Y are complete.
  • If X and Y are both normed (or both Banach) then so is

See also

Notes

  1. Schaefer 1999, pp. 79-88.
  2. Schaefer 1999, p. 81.
  3. Schaefer 1999, p. 80.
  4. Schaefer 1999, p. 83.
  5. Schaefer 1999, p. 117.
  6. Schaefer 1999, p. 82.
  7. Schaefer 1999, p. 87.
  8. Treves 2006, pp. 195-201.
  9. Treves pp. 199–200
  10. Schaefer 1999, p. 85.
  11. Treves, p. 198
  12. Treves 2006, pp. 433.
  13. Treves, pp. 196, 368 - 370

References

    • Hogbe-Nlend, Henri (1977). Bornologies and functional analysis. Amsterdam: North-Holland Publishing Co. pp. xii+144. ISBN 0-7204-0712-5. MR 0500064.
    • H.H. Schaefer (1970). Topological Vector Spaces. GTM. 3. Springer-Verlag. pp. 61–63. ISBN 0-387-05380-8.
    • Trèves, François (1995). Topological Vector Spaces, Distributions and Kernels. Dover Publications. pp. 136–149, 195–201, 240–252, 335–390, 420–433. ISBN 9780486453521.
    • Khaleelulla, S.M. (1982). Counterexamples in Topological Vector Spaces. GTM. 936. Berlin Heidelberg: Springer-Verlag. pp. 29–33, 49, 104. ISBN 9783540115656.
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