Vector bornology

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In mathematics, especially functional analysis, a bornology on a vector space X over a field 𝕂, where 𝕂 has a bornology ℬ𝔽, is called a vector bornology if makes the vector space operations into bounded maps.

Definitions

Prerequisits

Main page: Bornology

A bornology on a set X is a collection of subsets of X that satisfy all the following conditions:

  1. covers X; that is, X=
  2. is stable under inclusions; that is, if B and AB, then A
  3. is stable under finite unions; that is, if B1,,Bn then B1Bn

Elements of the collection are called -bounded or simply bounded sets if is understood. The pair (X,) is called a bounded structure or a bornological set.

A base or fundamental system of a bornology is a subset 0 of such that each element of is a subset of some element of 0. Given a collection 𝒮 of subsets of X, the smallest bornology containing 𝒮 is called the bornology generated by 𝒮.[1]

If (X,) and (Y,𝒞) are bornological sets then their product bornology on X×Y is the bornology having as a base the collection of all sets of the form B×C, where B and C𝒞.[1] A subset of X×Y is bounded in the product bornology if and only if its image under the canonical projections onto X and Y are both bounded.

If (X,) and (Y,𝒞) are bornological sets then a function f:XY is said to be a locally bounded map or a bounded map (with respect to these bornologies) if it maps -bounded subsets of X to 𝒞-bounded subsets of Y; that is, if f()𝒞.[1] If in addition f is a bijection and f1 is also bounded then f is called a bornological isomorphism.

Vector bornology

Let X be a vector space over a field 𝕂 where 𝕂 has a bornology 𝕂. A bornology on X is called a vector bornology on X if it 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 X is a vector space and is a bornology on X, then the following are equivalent:

  1. is a vector bornology
  2. Finite sums and balanced hulls of -bounded sets are -bounded[2]
  3. The scalar multiplication map 𝕂×XX defined by (s,x)sx and the addition map X×XX defined by (x,y)x+y, are both bounded when their domains carry their product bornologies (i.e. they map bounded subsets to bounded subsets)[2]

A vector bornology is called a convex vector bornology if it is stable under the formation of convex hulls (i.e. the convex hull of a bounded set is bounded) then . And a vector bornology is called separated if the only bounded vector subspace of X is the 0-dimensional trivial space {0}.

Usually, 𝕂 is either the real or complex numbers, in which case a vector bornology on X will be called a convex vector bornology if has a base consisting of convex sets.

Characterizations

Suppose that X is a vector space over the field 𝔽 of real or complex numbers and is a bornology on X. Then the following are equivalent:

  1. is a vector bornology
  2. addition and scalar multiplication are bounded maps[1]
  3. the balanced hull of every element of is an element of and the sum of any two elements of is again an element of [1]

Bornology on a topological vector space

If X is a topological vector space then the set of all bounded subsets of X from a vector bornology on X called the von Neumann bornology of X, the usual bornology, or simply the bornology of X and is referred to as natural boundedness.[1] In any locally convex topological vector space X, the set of all closed bounded disks form a base for the usual bornology of X.[1]

Unless indicated otherwise, it is always assumed that the real or complex numbers are endowed with the usual bornology.

Topology induced by a vector bornology

Suppose that X is a vector space over the field 𝕂 of real or complex numbers and is a vector bornology on X. Let 𝒩 denote all those subsets N of X that are convex, balanced, and bornivorous. Then 𝒩 forms a neighborhood basis at the origin for a locally convex topological vector space topology.

Examples

Locally convex space of bounded functions

Let 𝕂 be the real or complex numbers (endowed with their usual bornologies), let (T,) be a bounded structure, and let LB(T,𝕂) denote the vector space of all locally bounded 𝕂-valued maps on T. For every B, let pB(f):=sup|f(B)| for all fLB(T,𝕂), where this defines a seminorm on X. The locally convex topological vector space topology on LB(T,𝕂) defined by the family of seminorms {pB:B} is called the topology of uniform convergence on bounded set.[1] This topology makes LB(T,𝕂) into a complete space.[1]

Bornology of equicontinuity

Let T be a topological space, 𝕂 be the real or complex numbers, and let C(T,𝕂) denote the vector space of all continuous 𝕂-valued maps on T. The set of all equicontinuous subsets of C(T,𝕂) forms a vector bornology on C(T,𝕂).[1]

See also

Citations

  1. ↑ 1.00 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 Narici & Beckenstein 2011, pp. 156–175.
  2. ↑ 2.0 2.1 Narici & Beckenstein 2011, pp. 156-175.

Bibliography