Auxiliary normed space

{{More footnotes|date=April 2020}}

In functional analysis, a branch of mathematics, two methods of constructing normed spaces from disks were systematically employed by Alexander Grothendieck to define nuclear operators and nuclear spaces.{{sfn|Schaefer|Wolff|1999|p=97}}

One method is used if the disk D is bounded: in this case, the auxiliary normed space is \operatorname{span} D with norm

p_D(x) := \inf_{x \in r D, r > 0} r.

The other method is used if the disk D is absorbing: in this case, the auxiliary normed space is the quotient space X / p_D^{-1}(0).

If the disk is both bounded and absorbing then the two auxiliary normed spaces are canonically isomorphic (as topological vector spaces and as normed spaces).

Induced by a bounded disk – Banach disks

Throughout this article, X will be a real or complex vector space (not necessarily a TVS, yet) and D will be a disk in X.

=Seminormed space induced by a disk=

Let X will be a real or complex vector space. For any subset D of X, the Minkowski functional of D defined by:

  • If D = \varnothing then define p_{\varnothing}(x) : \{0\} \to [0, \infty) to be the trivial map p_{\varnothing} = 0{{sfn|Schaefer|Wolff|1999|p=169}} and it will be assumed that \operatorname{span} \varnothing = \{0\}.This is the smallest vector space containing \varnothing. Alternatively, if D = \varnothing then D may instead be replaced with \{0\}.
  • If D \neq \varnothing and if D is absorbing in \operatorname{span} D then denote the Minkowski functional of D in \operatorname{span} D by p_D : \operatorname{span} D \to [0, \infty) where for all x \in \operatorname{span} D, this is defined by p_D (x) := \inf_{} \{r : x \in r D, r > 0\}.

Let X will be a real or complex vector space. For any subset D of X such that the Minkowski functional p_D is a seminorm on \operatorname{span} D, let X_D denote

X_D := \left(\operatorname{span} D, p_D\right)

which is called the seminormed space induced by D, where if p_D is a norm then it is called the normed space induced by D.

Assumption (Topology): X_D = \operatorname{span} D is endowed with the seminorm topology induced by p_D, which will be denoted by \tau_D or \tau_{p_D}

Importantly, this topology stems entirely from the set D, the algebraic structure of X, and the usual topology on \R (since p_D is defined using {{em|only}} the set D and scalar multiplication). This justifies the study of Banach disks and is part of the reason why they play an important role in the theory of nuclear operators and nuclear spaces.

The inclusion map \operatorname{In}_D : X_D \to X is called the canonical map.{{sfn|Schaefer|Wolff|1999|p=97}}

Suppose that D is a disk.

Then \operatorname{span} D = \bigcup_{n=1}^{\infty} n D so that D is absorbing in \operatorname{span} D, the linear span of D.

The set \{r D : r > 0\} of all positive scalar multiples of D forms a basis of neighborhoods at the origin for a locally convex topological vector space topology \tau_D on \operatorname{span} D.

The Minkowski functional of the disk D in \operatorname{span} D guarantees that p_D is well-defined and forms a seminorm on \operatorname{span} D.{{sfn|Trèves|2006|p=370}}

The locally convex topology induced by this seminorm is the topology \tau_D that was defined before.

=Banach disk definition=

A bounded disk D in a topological vector space X such that \left(X_D, p_D\right) is a Banach space is called a Banach disk, infracomplete, or a bounded completant in X.

If its shown that \left(\operatorname{span} D, p_D\right) is a Banach space then D will be a Banach disk in {{em|any}} TVS that contains D as a bounded subset.

This is because the Minkowski functional p_D is defined in purely algebraic terms.

Consequently, the question of whether or not \left(X_D, p_D\right) forms a Banach space is dependent only on the disk D and the Minkowski functional p_D, and not on any particular TVS topology that X may carry.

Thus the requirement that a Banach disk in a TVS X be a bounded subset of X is the only property that ties a Banach disk's topology to the topology of its containing TVS X.

=Properties of disk induced seminormed spaces=

Bounded disks

The following result explains why Banach disks are required to be bounded.

{{Math theorem|name=Theorem{{sfn|Trèves|2006|pp=370-373}}{{sfn|Narici|Beckenstein|2011|pp=441-457}}{{sfn|Schaefer|Wolff|1999|p=97}} |math_statement=

If D is a disk in a topological vector space (TVS) X, then D is bounded in X if and only if the inclusion map \operatorname{In}_D : X_D \to X is continuous.

}}

{{math proof|proof=

If the disk D is bounded in the TVS X then for all neighborhoods U of the origin in X, there exists some r > 0 such that r D \subseteq U \cap X_D.

It follows that in this case the topology of \left(X_D, p_D\right) is finer than the subspace topology that X_D inherits from X, which implies that the inclusion map \operatorname{In}_D : X_D \to X is continuous.

Conversely, if X has a TVS topology such that \operatorname{In}_D : X_D \to X is continuous, then for every neighborhood U of the origin in X there exists some r > 0 such that r D \subseteq U \cap X_D, which shows that D is bounded in X.

}}

Hausdorffness

The space \left(X_D, p_D\right) is Hausdorff if and only if p_D is a norm, which happens if and only if D does not contain any non-trivial vector subspace.{{sfn|Narici|Beckenstein|2011|pp=115-154}}

In particular, if there exists a Hausdorff TVS topology on X such that D is bounded in X then p_D is a norm.

An example where X_D is not Hausdorff is obtained by letting X = \R^2 and letting D be the x-axis.

Convergence of nets

Suppose that D is a disk in X such that X_D is Hausdorff and let x_\bull = \left(x_i\right)_{i \in I} be a net in X_D.

Then x_\bull \to 0 in X_D if and only if there exists a net r_\bull = \left(r_i\right)_{i \in I} of real numbers such that r_\bull \to 0 and x_i \in r_i D for all i;

moreover, in this case it will be assumed without loss of generality that r_i \geq 0 for all i.

Relationship between disk-induced spaces

If C \subseteq D \subseteq X then \operatorname{span} C \subseteq \operatorname{span} D and p_D \leq p_C on \operatorname{span} C, so define the following continuous{{sfn|Narici|Beckenstein|2011|pp=441-457}} linear map:

If C and D are disks in X with C \subseteq D then call the inclusion map \operatorname{In}_C^D : X_C \to X_D the canonical inclusion of X_C into X_D.

In particular, the subspace topology that \operatorname{span} C inherits from \left(X_D, p_D\right) is weaker than \left(X_C, p_C\right)'s seminorm topology.{{sfn|Narici|Beckenstein|2011|pp=441-457}}

The disk as the closed unit ball

The disk D is a closed subset of \left(X_D, p_D\right) if and only if D is the closed unit ball of the seminorm p_D; that is,

D = \left\{x \in \operatorname{span} D : p_D(x) \leq 1\right\}.

If D is a disk in a vector space X and if there exists a TVS topology \tau on \operatorname{span} D such that D is a closed and bounded subset of \left(\operatorname{span} D, \tau\right), then D is the closed unit ball of \left(X_D, p_D\right) (that is, D = \left\{x \in \operatorname{span} D : p_D(x) \leq 1\right\} ) (see footnote for proof).Assume WLOG that X = \operatorname{span} D. Since D is closed in (X, \tau), it is also closed in \left(X_D, p_D\right) and since the seminorm p_D is the Minkowski functional of D, which is continuous on \left(X_D, p_D\right), it follows {{harvtxt| Narici|Beckenstein| 2011|pp=119–120}} that D is the closed unit ball in \left(X_D, p\right).

=Sufficient conditions for a Banach disk=

The following theorem may be used to establish that \left(X_D, p_D\right) is a Banach space.

Once this is established, D will be a Banach disk in any TVS in which D is bounded.

{{Math theorem|name=Theorem{{sfn|Narici|Beckenstein|2011|pp=441-442}}|math_statement=

Let D be a disk in a vector space X.

If there exists a Hausdorff TVS topology \tau on \operatorname{span} D such that D is a bounded sequentially complete subset of (\operatorname{span} D, \tau), then \left(X_D, p_D\right) is a Banach space.

}}

{{math proof|proof=

Assume without loss of generality that X = \operatorname{span} D and let p := p_D be the Minkowski functional of D.

Since D is a bounded subset of a Hausdorff TVS, D do not contain any non-trivial vector subspace, which implies that p is a norm.

Let \tau_D denote the norm topology on X induced by p where since D is a bounded subset of (X, \tau), \tau_D is finer than \tau.

Because D is convex and balanced, for any 0 < m < n

2^{-(n+1)} D + \cdots + 2^{-(m+2)} D = 2^{-(m+1)} \left(1 - 2^{m-n}\right) D \subseteq 2^{-(m+2)} D.

Let x_{\bull} = \left(x_i\right)_{i=1}^{\infty} be a Cauchy sequence in \left(X_D, p\right).

By replacing x_{\bull} with a subsequence, we may assume without loss of generality that for all i,

x_{i+1} - x_i \in \frac{1}{2^{i+2}} D.

This implies that for any 0 < m < n,

x_n - x_m = \left(x_n - x_{n-1}\right) + \left(x_{m+1} - x_m\right) \in 2^{-(n+1)} D + \cdots + 2^{-(m+2)} D \subseteq 2^{-(m+2)} D

so that in particular, by taking m = 1 it follows that x_{\bull} is contained in x_1 + 2^{-3} D.

Since \tau_D is finer than \tau, x_{\bull} is a Cauchy sequence in (X, \tau).

For all m > 0, 2^{-(m+2)} D is a Hausdorff sequentially complete subset of (X, \tau).

In particular, this is true for x_1 + 2^{-3} D so there exists some x \in x_1 + 2^{-3} D such that x_{\bull} \to x in (X, \tau).

Since x_n - x_m \in 2^{-(m+2)} D for all 0 < m < n, by fixing m and taking the limit (in (X, \tau)) as n \to \infty, it follows that x - x_m \in 2^{-(m+2)} D for each m > 0.

This implies that p\left(x - x_m\right) \to 0 as m \to \infty, which says exactly that x_{\bull} \to x in \left(X_D, p\right).

This shows that \left(X_D, p\right) is complete.

This assumption is allowed because x_{\bull} is a Cauchy sequence in a metric space (so the limits of all subsequences are equal) and a sequence in a metric space converges if and only if every subsequence has a sub-subsequence that converges.

}}

Note that even if D is not a bounded and sequentially complete subset of any Hausdorff TVS, one might still be able to conclude that \left(X_D, p_D\right) is a Banach space by applying this theorem to some disk K satisfying

\left\{x \in \operatorname{span} D : p_D(x) < 1\right\} \subseteq K \subseteq \left\{x \in \operatorname{span} D : p_D(x) \leq 1\right\}

because p_D = p_K.

The following are consequences of the above theorem:

  • A sequentially complete bounded disk in a Hausdorff TVS is a Banach disk.{{sfn|Narici|Beckenstein|2011|pp=441-457}}
  • Any disk in a Hausdorff TVS that is complete and bounded (e.g. compact) is a Banach disk.{{sfn|Trèves|2006|pp=370–371}}
  • The closed unit ball in a Fréchet space is sequentially complete and thus a Banach disk.{{sfn|Narici|Beckenstein|2011|pp=441-457}}

Suppose that D is a bounded disk in a TVS X.

  • If L : X \to Y is a continuous linear map and B \subseteq X is a Banach disk, then L(B) is a Banach disk and L\big\vert_{X_B} : X_B \to L\left(X_B\right) induces an isometric TVS-isomorphism Y_{L(B)} \cong X_B / \left(X_B \cap \operatorname{ker} L\right).

=Properties of Banach disks=

Let X be a TVS and let D be a bounded disk in X.

If D is a bounded Banach disk in a Hausdorff locally convex space X and if T is a barrel in X then T absorbs D (that is, there is a number r > 0 such that D \subseteq r T.{{sfn|Trèves|2006|pp=370-373}}

If U is a convex balanced closed neighborhood of the origin 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 / p_U^{-1}(0) is denoted by \overline{X_U} so that \overline{X_U} is a complete Hausdorff space and p_U(x) := \inf_{x \in r U, r > 0} r is a norm on this space making \overline{X_U} into a Banach space. The polar of U, U^{\circ}, is a weakly compact bounded equicontinuous disk in X^{\prime} and so is infracomplete.

If X is a metrizable locally convex TVS then for every bounded subset B of X, there exists a bounded disk D in X such that B \subseteq X_D, and both X and X_D induce the same subspace topology on B.{{sfn|Narici|Beckenstein|2011|pp=441-457}}

Induced by a radial disk – quotient

Suppose that X is a topological vector space and V is a convex balanced and radial set.

Then \left\{\tfrac{1}{n} V : n = 1, 2, \ldots\right\} is a neighborhood basis at the origin for some locally convex topology \tau_V on X.

This TVS topology \tau_V is given by the Minkowski functional formed by V, p_V : X \to \R, which is a seminorm on X defined by p_V(x) := \inf_{x \in r V, r > 0} r.

The topology \tau_V is Hausdorff if and only if p_V is a norm, or equivalently, if and only if X / p_V^{-1}(0) = \{0\} or equivalently, for which it suffices that V be bounded in X.

The topology \tau_V need not be Hausdorff but X / p_V^{-1}(0) is Hausdorff.

A norm on X / p_V^{-1}(0) is given by \left\|x + X / p_V^{-1}(0)\right\| := p_V(x), where this value is in fact independent of the representative of the equivalence class x + X / p_V^{-1}(0) chosen.

The normed space \left(X / p_V^{-1}(0), \| \cdot \|\right) is denoted by X_V and its completion is denoted by \overline{X_V}.

If in addition V is bounded in X then the seminorm p_V : X \to \R is a norm so in particular, p_V^{-1}(0) = \{0\}.

In this case, we take X_V to be the vector space X instead of X / \{0\} so that the notation X_V is unambiguous (whether X_V denotes the space induced by a radial disk or the space induced by a bounded disk).{{sfn|Schaefer|Wolff|1999|p=97}}

The quotient topology \tau_Q on X / p_V^{-1}(0) (inherited from X's original topology) is finer (in general, strictly finer) than the norm topology.

=Canonical maps=

The canonical map is the quotient map q_V : X \to X_V = X / p_V^{-1}(0), which is continuous when X_V has either the norm topology or the quotient topology.{{sfn|Schaefer|Wolff|1999|p=97}}

If U and V are radial disks such that U \subseteq V then p_U^{-1}(0) \subseteq p_V^{-1}(0) so there is a continuous linear surjective canonical map q_{V,U} : X / p_U^{-1}(0) \to X / p_V^{-1}(0) = X_V defined by sending

x + p_U^{-1}(0) \in X_U = X / p_U^{-1}(0) to the equivalence class x + p_V^{-1}(0), where one may verify that the definition does not depend on the representative of the equivalence class x + p_U^{-1}(0) that is chosen.{{sfn|Schaefer|Wolff|1999|p=97}}

This canonical map has norm \,\leq 1{{sfn|Schaefer|Wolff|1999|p=97}} and it has a unique continuous linear canonical extension to \overline{X_U} that is denoted by \overline{g_{V,U}} : \overline{X_U} \to \overline{X_V}.

Suppose that in addition B \neq \varnothing and C are bounded disks in X with B \subseteq C so that X_B \subseteq X_C and the inclusion \operatorname{In}_B^C : X_B \to X_C is a continuous linear map.

Let \operatorname{In}_B : X_B \to X, \operatorname{In}_C : X_C \to X, and \operatorname{In}_B^C : X_B \to X_C be the canonical maps.

Then \operatorname{In}_C = \operatorname{In}_B^C \circ \operatorname{In}_C : X_B \to X_C and q_V = q_{V,U} \circ q_U.{{sfn|Schaefer|Wolff|1999|p=97}}

Induced by a bounded radial disk

Suppose that S is a bounded radial disk.

Since S is a bounded disk, if D := S then we may create the auxiliary normed space X_D = \operatorname{span} D with norm p_D(x) := \inf_{x \in r D, r > 0} r; since S is radial, X_S = X.

Since S is a radial disk, if V := S then we may create the auxiliary seminormed space X / p_V^{-1}(0) with the seminorm p_V(x) := \inf_{x \in r V, r > 0} r; because S is bounded, this seminorm is a norm and p_V^{-1}(0) = \{0\} so X / p_V^{-1}(0) = X / \{0\} = X.

Thus, in this case the two auxiliary normed spaces produced by these two different methods result in the same normed space.

Duality

Suppose that H is a weakly closed equicontinuous disk in X^{\prime} (this implies that H is weakly compact) and let

U := H^{\circ} = \{x \in X : |h(x)| \leq 1 \text{ for all } h \in H\}

be the polar of H.

Because U^\circ = H^{\circ\circ} = H by the bipolar theorem, it follows that a continuous linear functional f belongs to X^{\prime}_H = \operatorname{span} H if and only if f belongs to the continuous dual space of \left(X, p_U\right), where p_U is the Minkowski functional of U defined by p_U(x) := \inf_{x \in r U, r > 0} r.{{sfn|Trèves|2006|p=477}}

Related concepts

A disk in a TVS is called infrabornivorous{{sfn|Narici|Beckenstein|2011|pp=441-457}} if it absorbs all Banach disks.

A linear map between two TVSs is called infrabounded{{sfn|Narici|Beckenstein|2011|pp=441-457}} if it maps Banach disks to bounded disks.

=Fast convergence=

A sequence x_\bull = \left(x_i\right)_{i=1}^\infty in a TVS X is said to be fast convergent{{sfn|Narici|Beckenstein|2011|pp=441-457}} to a point x \in X if there exists a Banach disk D such that both x and the sequence is (eventually) contained in \operatorname{span} D and x_\bull \to x in \left(X_D, p_D\right).

Every fast convergent sequence is Mackey convergent.{{sfn|Narici|Beckenstein|2011|pp=441-457}}

See also

  • {{annotated link|Bornological space}}
  • {{annotated link|Injective tensor product}}
  • {{annotated link|Locally convex topological vector space}}
  • {{annotated link|Nuclear operator}}
  • {{annotated link|Nuclear space}}
  • {{annotated link|Initial topology}}
  • {{annotated link|Projective tensor product}}
  • {{annotated link|Schwartz topological vector space}}
  • {{annotated link|Tensor product of Hilbert spaces}}
  • {{annotated link|Topological tensor product}}
  • {{annotated link|Ultrabornological space}}

Notes

{{reflist|group=note}}

References

{{reflist}}

Bibliography

  • {{cite journal|last1=Burzyk|first1=Józef|last2=Gilsdorf|first2=Thomas E.|title=Some remarks about Mackey convergence|journal=International Journal of Mathematics and Mathematical Sciences|publisher=Hindawi Limited|volume=18|issue=4|year=1995|issn=0161-1712|doi=10.1155/s0161171295000846|url=https://downloads.hindawi.com/journals/ijmms/1995/138625.pdf|pages=659–664 |doi-access=free }}
  • {{Diestel The Metric Theory of Tensor Products Grothendieck's Résumé Revisited}}
  • {{Dubinsky The Structure of Nuclear Fréchet Spaces}}
  • {{Grothendieck Produits Tensoriels Topologiques et Espaces Nucléaires}}
  • {{Hogbe-Nlend Bornologies and Functional Analysis}}
  • {{Hogbe-Nlend Moscatelli Nuclear and Conuclear Spaces}}
  • {{Husain Khaleelulla Barrelledness in Topological and Ordered Vector Spaces}}
  • {{Khaleelulla Counterexamples in Topological Vector Spaces}}
  • {{Narici Beckenstein Topological Vector Spaces|edition=2}}
  • {{Pietsch Nuclear Locally Convex Spaces|edition=2}}
  • {{Robertson Topological Vector Spaces}}
  • {{Ryan Introduction to Tensor Products of Banach Spaces|edition=1}}
  • {{Schaefer Wolff Topological Vector Spaces|edition=2}}
  • {{Trèves François Topological vector spaces, distributions and kernels}}
  • {{Wong Schwartz Spaces, Nuclear Spaces, and Tensor Products}}