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In
mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, particularly in
functional analysis Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (e.g. inner product, norm, topology, etc.) and the linear functions defi ...
, 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
linear maps In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that pre ...
, in the same way that a
topological space In mathematics, a topological space is, roughly speaking, a geometrical space in which closeness is defined but cannot necessarily be measured by a numeric distance. More specifically, a topological space is a set whose elements are called poin ...
possesses the minimum amount of structure needed to address questions of continuity. Bornological spaces are distinguished by the property that a linear map from a bornological space into any
locally convex In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They can be defined as topological v ...
spaces is continuous if and only if it is a
bounded linear operator In functional analysis and operator theory, a bounded linear operator is a linear transformation L : X \to Y between topological vector spaces (TVSs) X and Y that maps bounded subsets of X to bounded subsets of Y. If X and Y are normed vect ...
. Bornological spaces were first studied by
George Mackey George Whitelaw Mackey (February 1, 1916 – March 15, 2006) was an American mathematician known for his contributions to quantum logic, representation theory, and noncommutative geometry. Career Mackey earned his bachelor of arts at Rice Un ...
. The name was coined by Bourbaki after , the French word for " bounded".


Bornologies and bounded maps

A on a set X is a collection \mathcal of subsets of X that satisfy all the following conditions:
  1. \mathcal covers X; that is, X = \cup \mathcal;
  2. \mathcal is stable under inclusions; that is, if B \in \mathcal and A \subseteq B, then A \in \mathcal;
  3. \mathcal is stable under finite unions; that is, if B_1, \ldots, B_n \in \mathcal then B_1 \cup \cdots \cup B_n \in \mathcal;
Elements of the collection \mathcal are called or simply if \mathcal is understood. The pair (X, \mathcal) is called a or a . A or of a bornology \mathcal is a subset \mathcal_0 of \mathcal such that each element of \mathcal is a subset of some element of \mathcal_0. Given a collection \mathcal of subsets of X, the smallest bornology containing \mathcal is called the If (X, \mathcal) and (Y, \mathcal) are bornological sets then their on X \times Y is the bornology having as a base the collection of all sets of the form B \times C, where B \in \mathcal and C \in \mathcal. A subset of X \times Y is bounded in the product bornology if and only if its image under the canonical projections onto X and Y are both bounded.


Bounded maps

If (X, \mathcal) and (Y, \mathcal) are bornological sets then a function f : X \to Y is said to be a or a (with respect to these bornologies) if it maps \mathcal-bounded subsets of X to \mathcal-bounded subsets of Y; that is, if f(\mathcal) \subseteq \mathcal. If in addition f is a bijection and f^ is also bounded then f is called a .


Vector bornologies

Let X be a vector space over a field \mathbb where \mathbb has a bornology \mathcal_. A bornology \mathcal on X is called a if it is stable under vector addition, scalar multiplication, and the formation of
balanced hull In linear algebra and related areas of mathematics a balanced set, circled set or disk in a vector space (over a field \mathbb with an absolute value function , \cdot , ) is a set S such that a S \subseteq S for all scalars a satisfying , a, \l ...
s (i.e. if the sum of two bounded sets is bounded, etc.). If X is a
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
(TVS) and \mathcal is a bornology on X, then the following are equivalent:
  1. \mathcal is a vector bornology;
  2. Finite sums and balanced hulls of \mathcal-bounded sets are \mathcal-bounded;
  3. The scalar multiplication map \mathbb \times X \to X defined by (s, x) \mapsto sx and the addition map X \times X \to X defined by (x, y) \mapsto x + y, are both bounded when their domains carry their product bornologies (i.e. they map bounded subsets to bounded subsets).
A vector bornology \mathcal is called a if it is stable under the formation of
convex hull In geometry, the convex hull or convex envelope or convex closure of a shape is the smallest convex set that contains it. The convex hull may be defined either as the intersection of all convex sets containing a given subset of a Euclidean space ...
s (i.e. the convex hull of a bounded set is bounded) then \mathcal. And a vector bornology \mathcal is called if the only bounded vector subspace of X is the 0-dimensional trivial space \. Usually, \mathbb is either the real or complex numbers, in which case a vector bornology \mathcal on X will be called a if \mathcal has a base consisting of
convex Convex or convexity may refer to: Science and technology * Convex lens, in optics Mathematics * Convex set, containing the whole line segment that joins points ** Convex polygon, a polygon which encloses a convex set of points ** Convex polytop ...
sets.


Bornivorous subsets

A subset A of X is called and a 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. Two TVS topologies on the same vector space have that same bounded subsets if and only if they have the same bornivores. Every bornivorous subset of a locally convex
metrizable topological vector space In functional analysis and related areas of mathematics, a metrizable (resp. pseudometrizable) topological vector space (TVS) is a TVS whose topology is induced by a metric (resp. pseudometric). An LM-space is an inductive limit of a sequence of ...
is a neighborhood of the origin.


Mackey convergence

A sequence x_\bull = (x_i)_^\infty in a TVS X is said to be if there exists a sequence of positive real numbers r_\bull = (r_i)_^\infty diverging to \infty such that (r_i x_i)_^\infty converges to 0 in X.


Bornology of a topological vector space

Every
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
X, at least on a non discrete
valued field Value or values may refer to: Ethics and social * Value (ethics) wherein said concept may be construed as treating actions themselves as abstract objects, associating value to them ** Values (Western philosophy) expands the notion of value beyo ...
gives a bornology on X by defining a subset B \subseteq X to be bounded (or von-Neumann bounded), if and only if for all open sets U \subseteq X containing zero there exists a r > 0 with B \subseteq rU. If X is a
locally convex In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They can be defined as topological v ...
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
then B \subseteq X is bounded if and only if all continuous semi-norms on X are bounded on B. The set of all bounded subsets of a topological vector space X is called or of X. If X is a
locally convex topological vector space In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They can be defined as topological ...
, then an absorbing disk D in X is bornivorous (resp. infrabornivorous) if and only if its
Minkowski functional In mathematics, in the field of functional analysis, a Minkowski functional (after Hermann Minkowski) or gauge function is a function that recovers a notion of distance on a linear space. If K is a subset of a real or complex vector space X, t ...
is locally bounded (resp. infrabounded).


Induced topology

If \mathcal is a convex vector bornology on a vector space X, then the collection \mathcal_(0) of all convex balanced subsets of X that are bornivorous forms a
neighborhood basis In topology and related areas of mathematics, the neighbourhood system, complete system of neighbourhoods, or neighbourhood filter \mathcal(x) for a point x in a topological space is the collection of all neighbourhoods of x. Definitions Neighbour ...
at the origin for a
locally convex In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They can be defined as topological v ...
topology on X called the . If (X, \tau) is a TVS then the is the vector space X endowed with the locally convex topology induced by the von Neumann bornology of (X, \tau).


Quasi-bornological spaces

Quasi-bornological spaces where introduced by S. Iyahen in 1968. A
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
(TVS) (X, \tau) with a
continuous dual In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V'', together with the vector space structure of pointwise addition and scalar multiplication by const ...
X^ is called a if any of the following equivalent conditions holds:
  1. Every
    bounded linear operator In functional analysis and operator theory, a bounded linear operator is a linear transformation L : X \to Y between topological vector spaces (TVSs) X and Y that maps bounded subsets of X to bounded subsets of Y. If X and Y are normed vect ...
    from X into another TVS is
    continuous Continuity or continuous may refer to: Mathematics * Continuity (mathematics), the opposing concept to discreteness; common examples include ** Continuous probability distribution or random variable in probability and statistics ** Continuous g ...
    .
  2. Every bounded linear operator from X into a complete metrizable TVS is continuous.
  3. Every knot in a bornivorous string is a neighborhood of the origin.
Every
pseudometrizable TVS In functional analysis and related areas of mathematics, a metrizable (resp. pseudometrizable) topological vector space (TVS) is a TVS whose topology is induced by a metric (resp. pseudometric). An LM-space is an inductive limit of a sequence of ...
is quasi-bornological. A TVS (X, \tau) in which every
bornivorous set In functional analysis, a subset of a real or complex vector space X that has an associated vector bornology \mathcal is called bornivorous and a bornivore if it absorbs every element of \mathcal. If X is a topological vector space (TVS) then a ...
is a neighborhood of the origin is a quasi-bornological space. If X is a quasi-bornological TVS then the finest locally convex topology on X that is coarser than \tau makes X into a locally convex bornological space.


Bornological space

In functional analysis, a
locally convex topological vector space In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They can be defined as topological ...
is a bornological space if its topology can be recovered from its bornology in a natural way. Every locally convex quasi-bornological space is bornological but there exist bornological spaces that are quasi-bornological. A
topological vector space In mathematics, a topological vector space (also called a linear topological space and commonly abbreviated TVS or t.v.s.) is one of the basic structures investigated in functional analysis. A topological vector space is a vector space that is als ...
(TVS) (X, \tau) with a
continuous dual In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V'', together with the vector space structure of pointwise addition and scalar multiplication by const ...
X^ is called a if it is locally convex and any of the following equivalent conditions holds:
  1. Every convex, balanced, and bornivorous set in X is a neighborhood of zero.
  2. Every
    bounded linear operator In functional analysis and operator theory, a bounded linear operator is a linear transformation L : X \to Y between topological vector spaces (TVSs) X and Y that maps bounded subsets of X to bounded subsets of Y. If X and Y are normed vect ...
    from X into a locally convex TVS is
    continuous Continuity or continuous may refer to: Mathematics * Continuity (mathematics), the opposing concept to discreteness; common examples include ** Continuous probability distribution or random variable in probability and statistics ** Continuous g ...
    . * Recall that a linear map is bounded if and only if it maps any sequence converging to 0 in the domain to a bounded subset of the codomain. In particular, any linear map that is sequentially continuous at the origin is bounded.
  3. Every bounded linear operator from X into a
    seminormed space In mathematics, particularly in functional analysis, a seminorm is a vector space norm that need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some absorbing disk and ...
    is continuous.
  4. Every bounded linear operator from X into a
    Banach space In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vector ...
    is continuous.
If X is a Hausdorff
locally convex space In functional analysis and related areas of mathematics, locally convex topological vector spaces (LCTVS) or locally convex spaces are examples of topological vector spaces (TVS) that generalize normed spaces. They can be defined as topological v ...
then we may add to this list:
  1. The locally convex topology induced by the von Neumann bornology on X is the same as \tau, X's given topology.
  2. Every bounded
    seminorm In mathematics, particularly in functional analysis, a seminorm is a vector space norm that need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some absorbing disk a ...
    on X is continuous.
  3. 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.
  4. X is the inductive limit of normed spaces.
  5. 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).
  6. X carries the Mackey topology \tau(X, X^) and all bounded linear functionals on X are continuous.
  7. X has both of the following properties: * X is or , which means that every convex sequentially open subset of X is open, * X is or , which means that every convex and bornivorous subset of X is sequentially open. where a subset A of X is called if every sequence converging to 0 eventually belongs to A.
Every sequentially continuous linear operator from a locally convex bornological space into a locally convex TVS is continuous, where recall that a linear operator is sequentially continuous if and only if it is sequentially continuous at the origin. Thus for linear maps from a bornological space into a locally convex space, continuity is equivalent to sequential continuity at the origin. More generally, we even have the following:


Sufficient conditions

As a consequent of the Mackey–Ulam theorem, "for all practical purposes, the product of bornological spaces is bornological." The following topological vector spaces are all bornological: ;Counterexamples There exists a bornological
LB-space In mathematics, an ''LB''-space, also written (''LB'')-space, is a topological vector space X that is a locally convex inductive limit of a countable inductive system (X_n, i_) of Banach spaces. This means that X is a direct limit of a direct syste ...
whose strong bidual is bornological. A closed vector subspace of a locally convex bornological space is not necessarily bornological. There exists a closed vector subspace of a locally convex bornological space that is complete (and so sequentially complete) but neither barrelled nor bornological. Bornological spaces need not be barrelled and barrelled spaces need not be bornological. Because every locally convex ultrabornological space is barrelled, it follows that a bornological space is not necessarily ultrabornological.


Properties

;Subsets


Ultrabornological spaces

A disk in a topological vector space X is called if it absorbs all
Banach disk In functional analysis, two methods of constructing normed spaces from disks were systematically employed by Alexander Grothendieck to define nuclear operators and nuclear spaces. One method is used if the disk D is bounded: in this case, the ...
s. 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 if any of the following equivalent conditions hold:
  1. Every infrabornivorous disk is a neighborhood of the origin.
  2. X is the inductive limit of the spaces X_D as D varies over all compact disks in X.
  3. A
    seminorm In mathematics, particularly in functional analysis, a seminorm is a vector space norm that need not be positive definite. Seminorms are intimately connected with convex sets: every seminorm is the Minkowski functional of some absorbing disk a ...
    on X that is bounded on each Banach disk is necessarily continuous.
  4. For every locally convex space Y and every linear map u : X \to Y, if u is bounded on each Banach disk then u is continuous.
  5. For every Banach space Y and every linear map u : X \to 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

* * * * * * *


References


Bibliography

* * * * * * * * * * * * * * * * * {{Topological vector spaces Topological vector spaces