Bornological space

In mathematics, particularly in functional analysis, a bornological space is a type of space which, in some sense, possesses the minimum amount of structure needed to address questions of boundedness of sets and functions, in the same way that a topological space possesses the minimum amount of structure needed to address questions of continuity. Bornological spaces were first studied by Mackey. The name was coined by Bourbaki.

Bornological sets

A bornology on a set X is a collection B of subsets of X such that

• B covers X, i.e. $X=\bigcup B;$
• B is stable under inclusions, i.e. if A ∈ B and A′ ⊆ A, then A′ ∈ B;
• B is stable under finite unions, i.e. if B₁, ..., B_n ∈ B, then $\bigcup _{{i=1}}^{{n}}B_{{i}}\in B.$

Elements of the collection B are usually called bounded sets. The pair (X, B) is called a bornological set.

A base of the bornology B is a subset B₀ of B such that each element of B is a subset of an element of B₀.

Examples

• For any set X, the power set of X is a bornology.
• For any set X, the set of finite subsets of X is a bornology. Similarly the set of all at most countably infinite subsets is a bornology. More generally: The set $P_{\kappa }(X)$ of all subsets of X having cardinality at most $\kappa$ is a bornology when $\kappa$ is an infinite cardinal.
• For any topological space X that is T₁, the set of subsets of X with compact closure is a bornology.

Bounded maps

If B₁ and B₂ are two bornologies over the spaces X and Y, respectively, and if f : X → Y is a function, then we say that f is a bounded map if it maps B₁-bounded sets in X to B₂-bounded sets in Y. If in addition f is a bijection and $f^{-1}$ is also bounded then we say that f is a bornological isomorphism.

Examples:

• If X and Y are any two topological vector spaces (they need not even be Hausdorff) and if f : X → Y is a continuous linear operator between them, then f is a bounded linear operator (when X and Y have their von-Neumann bornologies). The converse is in general false.

Theorems:

• Suppose that X and Y are locally convex spaces and that u : X → Yis a linear map. Then the following are equivalent:
  • u is a bounded map,
  • u takes bounded disks to bounded disks,
  • For every bornivorous (i.e. bounded in the bornological sense) disk D in Y, $u^{{-1}}(D)$ is also bornivorous.

Vector bornologies

If X is a vector space over a field K and then a vector bornology on X is a bornology B on X that is stable under vector addition, scalar multiplication, and the formation of balanced hulls (i.e. if the sum of two bounded sets is bounded, etc.). If in addition B is stable under the formation of convex hulls (i.e. the convex hull of a bounded set is bounded) then B is called a convex vector bornology. And if the only bounded subspace of X is the trivial subspace (i.e. the space consisting only of ${\displaystyle 0}$) then it is called separated. A subset A of B is called bornivorous if it absorbs every bounded set. In a vector bornology, A is bornivorous if it absorbs every bounded balanced set and in a convex vector bornology A is bornivorous if it absorbs every bounded disk.

Bornology of a topological vector space

Every topological vector space X gives a bornology on X by defining a subset B ⊆ X to be bounded (or von-Neumann bounded), if and only if for all open sets U ⊆ X containing zero there exists a r > 0 with B ⊆ r U. If X is a locally convex topological vector space then B ⊆ X is bounded if and only if all continuous semi-norms on X are bounded on B.

The set of all bounded subsets of X is called the bornology or the Von-Neumann bornology of X.

Induced topology

Suppose that we start with a vector space X and convex vector bornology B on X. If we let T denote the collection of all sets that are convex, balanced, and bornivorous then T forms neighborhood basis at 0 for a locally convex topology on X that is compatible with the vector space structure of X.

Bornological spaces

In functional analysis, a bornological space is a locally convex topological vector space whose topology can be recovered from its bornology in a natural way. Explicitly, a Hausdorff locally convex space X with topology $\tau$ and continuous dual $X'$ is called a bornological space if any one of the following equivalent conditions holds:

• The locally convex topology induced by the von-Neumann bornology on Xis the same as $\tau$, X's given topology.
• Every convex, balanced, and bornivorous set in X is a neighborhood of zero.
• Every bounded semi-norm on X is continuous,
• Any other Hausdorff locally convex topological vector space topology on X that has the same (von-Neumann) bornology as $(X, \tau)$ is necessarily coarser than $\tau$.
• For all locally convex spaces Y, every bounded linear operator from X into Y is continuous.
• X is the inductive limit of normed spaces.
• X is the inductive limit of the normed spaces X_D as D varies over the closed and bounded disks of X (or as D varies over the bounded disks of X).
• X carries the Mackey topology $\tau (X,X')$ and all bounded linear functionals on X are continuous.
• X has both of the following properties:
  • X is convex-sequential or C-sequential, which means that every convex sequentially open subset of X is open,
  • X is sequentially bornological or S-bornological, which means that every convex and bornivorous subset of X is sequentially open.

where a subset A of X is called sequentially open if every sequence converging to 0 eventually belongs to A.

Examples

The following topological vector spaces are all bornological:

• Any metrisable locally convex space is bornological. In particular, any Fréchet space.
• Any LF-space (i.e. any locally convex space that is the strict inductive limit of Fréchet spaces).
• Separated quotients of bornological spaces are bornological.
• The locally convex direct sum and inductive limit of bornological spaces is bornological.
• Fréchet Montel have a bornological strong dual.

Properties

• Given a bornological space X with continuous dual X′, then the topology of X coincides with the Mackey topology τ(X,X′).
  • In particular, bornological spaces are Mackey spaces.
• Every quasi-complete (i.e. all closed and bounded subsets are complete) bornological space is barrelled. There exist, however, bornological spaces that are not barrelled.
• Every bornological space is the inductive limit of normed spaces (and Banach spaces if the space is also quasi-complete).
• Let Xbe a metrizable locally convex space with continuous dual $X'$. Then the following are equivalent:
  • $\beta(X', X)$ is bornological,
  • $\beta(X', X)$ is quasi-barrelled,
  • $\beta(X', X)$ is barrelled,
  • X is a distinguished space.
• If X is bornological, $Y$ is a locally convex TVS, and u : X → Y is a linear map, then the following are equivalent:
  • u is continuous,
  • for every set B ⊆ X that's bounded in X, u(B) is bounded,
  • If (x_n) ⊆ X is a null sequence in X then (u(x_n)) is a null sequence in Y.
• The strong dual of a bornological space is complete, but it need not be bornological.
• Closed subspaces of bornological space need not be bornological.

Banach disks

Suppose that X is a topological vector space. Then we say that a subset D of X is a disk if it is convex and balanced. The disk D is absorbing in the space span(D) and so its Minkowski functional forms a seminorm on this space, which is denoted by $\mu _{D}$ or by p_D. When we give span(D) the topology induced by this seminorm, we denote the resulting topological vector space by $X_{D}$. A basis of neighborhoods of 0 of this space consists of all sets of the form r D where r ranges over all positive real numbers. If D is Von-Neuman bounded in X then the (normed) topology of X_D will be finer than the subspace topology that X induces on this set.

This space is not necessarily Hausdorff as is the case, for instance, if we let $X={\mathbb {R}}^{2}$ and D be the x-axis. However, if D is a bounded disk and if X is Hausdorff, then $\mu _{D}$ is a norm and X_D is a normed space. If D is a bounded sequentially complete disk and X is Hausdorff, then the space X_D is a Banach space. A bounded disk in X for which X_D is a Banach space is called a Banach disk, infracomplete, or a bounded completant.

Properties

Suppose that X is a locally convex Hausdorff space. If D is a bounded Banach disk in X and T is a barrel in X then T absorbs D (i.e. there is a number r > 0 such that D ⊆ r T).

Examples

• Any closed and bounded disk in a Banach space is a Banach disk.
• If U is a convex balanced closed neighborhood of 0 in X then the collection of all neighborhoods r U, where r > 0 ranges over the positive real numbers, induces a topological vector space topology on X. When X has this topology, it is denoted by X_U. Since this topology is not necessarily Hausdorff nor complete, the completion of the Hausdorff space $X_{U}/\ker(\mu _{U})$ is denoted by ${\hat {X}}_{U}$ so that ${\hat {X}}_{U}$ is a complete Hausdorff space and $\mu _{U}$ is a norm on this space making ${\hat {X}}_{U}$ into a Banach space. The polar of U, $D'$, is a weakly compact bounded equicontinuous disk in $X^{*}$ and so is infracomplete.

Ultrabornological spaces

A disk in a topological vector space X is called infrabornivorous if it absorbs all Banach disks. If X is locally convex and Hausdorff, then a disk is infrabornivorous if and only if it absorbs all compact disks. A locally convex space is called ultrabornological if any of the following conditions hold:

• every infrabornivorous disk is a neighborhood of 0,
• X be the inductive limit of the spaces X_D as D varies over all compact disks in X,
• A seminorm on X that is bounded on each Banach disk is necessarily continuous,
• For every locally convex space Y and every linear map u : X → Y, if u is bounded on each Banach disk then u is continuous.
• For every Banach space Y and every linear map u : X → Y, if u is bounded on each Banach disk then u is continuous.

Properties

• The finite product of ultrabornological spaces is ultrabornological.
• Inductive limits of ultrabornological spaces are ultrabornological.

See also

• Space of linear maps

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.
• Khaleelulla, S.M. (1982). Counterexamples in Topological Vector Spaces. GTM. 936. Berlin Heidelberg: Springer-Verlag. pp. 29–33, 49, 104. ISBN 9783540115656.
• Kriegl, Andreas; Michor, Peter W. (1997). The Convenient Setting of Global Analysis. Mathematical Surveys and Monographs. American Mathematical Society. ISBN 9780821807804.