Auxiliary normed space

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.[1] One method is used if the disk is bounded: in this case, the auxiliary normed space is with norm The other method is used if the disk is absorbing: in this case, the auxiliary normed space is the quotient space 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

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

Seminormed space induced by a disk

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

  • If   then define   to be the trivial map  [2] and it will be assumed that  [note 1]
  • If   and if   is absorbing in   then denote the Minkowski functional of   in   by   where for all   this is defined by  

Let   will be a real or complex vector space. For any subset   of   such that the Minkowski functional   is a seminorm on   let   denote   which is called the seminormed space induced by   where if   is a norm then it is called the normed space induced by  

Assumption (Topology):   is endowed with the seminorm topology induced by   which will be denoted by   or  

Importantly, this topology stems entirely from the set   the algebraic structure of   and the usual topology on   (since   is defined using only the set   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   is called the canonical map.[1]

Suppose that   is a disk. Then   so that   is absorbing in   the linear span of   The set   of all positive scalar multiples of   forms a basis of neighborhoods at the origin for a locally convex topological vector space topology   on   The Minkowski functional of the disk   in   guarantees that   is well-defined and forms a seminorm on  [3] The locally convex topology induced by this seminorm is the topology   that was defined before.

Banach disk definition

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A bounded disk   in a topological vector space   such that   is a Banach space is called a Banach disk, infracomplete, or a bounded completant in  

If its shown that   is a Banach space then   will be a Banach disk in any TVS that contains   as a bounded subset.

This is because the Minkowski functional   is defined in purely algebraic terms. Consequently, the question of whether or not   forms a Banach space is dependent only on the disk   and the Minkowski functional   and not on any particular TVS topology that   may carry. Thus the requirement that a Banach disk in a TVS   be a bounded subset of   is the only property that ties a Banach disk's topology to the topology of its containing TVS  

Properties of disk induced seminormed spaces

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Bounded disks

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

Theorem[4][5][1] — If   is a disk in a topological vector space (TVS)   then   is bounded in   if and only if the inclusion map   is continuous.

Proof

If the disk   is bounded in the TVS   then for all neighborhoods   of the origin in   there exists some   such that   It follows that in this case the topology of   is finer than the subspace topology that   inherits from   which implies that the inclusion map   is continuous. Conversely, if   has a TVS topology such that   is continuous, then for every neighborhood   of the origin in   there exists some   such that   which shows that   is bounded in  

Hausdorffness

The space   is Hausdorff if and only if   is a norm, which happens if and only if   does not contain any non-trivial vector subspace.[6] In particular, if there exists a Hausdorff TVS topology on   such that   is bounded in   then   is a norm. An example where   is not Hausdorff is obtained by letting   and letting   be the  -axis.

Convergence of nets

Suppose that   is a disk in   such that   is Hausdorff and let   be a net in   Then   in   if and only if there exists a net   of real numbers such that   and   for all  ; moreover, in this case it will be assumed without loss of generality that   for all  

Relationship between disk-induced spaces

If   then   and   on   so define the following continuous[5] linear map:

If   and   are disks in   with   then call the inclusion map   the canonical inclusion of   into  

In particular, the subspace topology that   inherits from   is weaker than  's seminorm topology.[5]

The disk as the closed unit ball

The disk   is a closed subset of   if and only if   is the closed unit ball of the seminorm  ; that is,  

If   is a disk in a vector space   and if there exists a TVS topology   on   such that   is a closed and bounded subset of   then   is the closed unit ball of   (that is,   ) (see footnote for proof).[note 2]

Sufficient conditions for a Banach disk

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The following theorem may be used to establish that   is a Banach space. Once this is established,   will be a Banach disk in any TVS in which   is bounded.

Theorem[7] — Let   be a disk in a vector space   If there exists a Hausdorff TVS topology   on   such that   is a bounded sequentially complete subset of   then   is a Banach space.

Proof

Assume without loss of generality that   and let   be the Minkowski functional of   Since   is a bounded subset of a Hausdorff TVS,   do not contain any non-trivial vector subspace, which implies that   is a norm. Let   denote the norm topology on   induced by   where since   is a bounded subset of     is finer than  

Because   is convex and balanced, for any  

 

Let   be a Cauchy sequence in   By replacing   with a subsequence, we may assume without loss of generality that for all    

This implies that for any     so that in particular, by taking   it follows that   is contained in   Since   is finer than     is a Cauchy sequence in   For all     is a Hausdorff sequentially complete subset of   In particular, this is true for   so there exists some   such that   in  

Since   for all   by fixing   and taking the limit (in  ) as   it follows that   for each   This implies that   as   which says exactly that   in   This shows that   is complete.

This assumption is allowed because   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   is not a bounded and sequentially complete subset of any Hausdorff TVS, one might still be able to conclude that   is a Banach space by applying this theorem to some disk   satisfying   because  

The following are consequences of the above theorem:

  • A sequentially complete bounded disk in a Hausdorff TVS is a Banach disk.[5]
  • Any disk in a Hausdorff TVS that is complete and bounded (e.g. compact) is a Banach disk.[8]
  • The closed unit ball in a Fréchet space is sequentially complete and thus a Banach disk.[5]

Suppose that   is a bounded disk in a TVS  

  • If   is a continuous linear map and   is a Banach disk, then   is a Banach disk and   induces an isometric TVS-isomorphism  

Properties of Banach disks

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Let   be a TVS and let   be a bounded disk in  

If   is a bounded Banach disk in a Hausdorff locally convex space   and if   is a barrel in   then   absorbs   (that is, there is a number   such that  [4]

If   is a convex balanced closed neighborhood of the origin in   then the collection of all neighborhoods   where   ranges over the positive real numbers, induces a topological vector space topology on   When   has this topology, it is denoted by   Since this topology is not necessarily Hausdorff nor complete, the completion of the Hausdorff space   is denoted by   so that   is a complete Hausdorff space and   is a norm on this space making   into a Banach space. The polar of     is a weakly compact bounded equicontinuous disk in   and so is infracomplete.

If   is a metrizable locally convex TVS then for every bounded subset   of   there exists a bounded disk   in   such that   and both   and   induce the same subspace topology on  [5]

Induced by a radial disk – quotient

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Suppose that   is a topological vector space and   is a convex balanced and radial set. Then   is a neighborhood basis at the origin for some locally convex topology   on   This TVS topology   is given by the Minkowski functional formed by     which is a seminorm on   defined by   The topology   is Hausdorff if and only if   is a norm, or equivalently, if and only if   or equivalently, for which it suffices that   be bounded in   The topology   need not be Hausdorff but   is Hausdorff. A norm on   is given by   where this value is in fact independent of the representative of the equivalence class   chosen. The normed space   is denoted by   and its completion is denoted by  

If in addition   is bounded in   then the seminorm   is a norm so in particular,   In this case, we take   to be the vector space   instead of   so that the notation   is unambiguous (whether   denotes the space induced by a radial disk or the space induced by a bounded disk).[1]

The quotient topology   on   (inherited from  's original topology) is finer (in general, strictly finer) than the norm topology.

Canonical maps

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The canonical map is the quotient map   which is continuous when   has either the norm topology or the quotient topology.[1]

If   and   are radial disks such that   then   so there is a continuous linear surjective canonical map   defined by sending   to the equivalence class   where one may verify that the definition does not depend on the representative of the equivalence class   that is chosen.[1] This canonical map has norm  [1] and it has a unique continuous linear canonical extension to   that is denoted by  

Suppose that in addition   and   are bounded disks in   with   so that   and the inclusion   is a continuous linear map. Let     and   be the canonical maps. Then   and  [1]

Induced by a bounded radial disk

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Suppose that   is a bounded radial disk. Since   is a bounded disk, if   then we may create the auxiliary normed space   with norm  ; since   is radial,   Since   is a radial disk, if   then we may create the auxiliary seminormed space   with the seminorm  ; because   is bounded, this seminorm is a norm and   so   Thus, in this case the two auxiliary normed spaces produced by these two different methods result in the same normed space.

Duality

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Suppose that   is a weakly closed equicontinuous disk in   (this implies that   is weakly compact) and let   be the polar of   Because   by the bipolar theorem, it follows that a continuous linear functional   belongs to   if and only if   belongs to the continuous dual space of   where   is the Minkowski functional of   defined by  [9]

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A disk in a TVS is called infrabornivorous[5] if it absorbs all Banach disks.

A linear map between two TVSs is called infrabounded[5] if it maps Banach disks to bounded disks.

Fast convergence

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A sequence   in a TVS   is said to be fast convergent[5] to a point   if there exists a Banach disk   such that both   and the sequence is (eventually) contained in   and   in  

Every fast convergent sequence is Mackey convergent.[5]

See also

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Notes

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  1. ^ This is the smallest vector space containing   Alternatively, if   then   may instead be replaced with  
  2. ^ Assume WLOG that   Since   is closed in   it is also closed in   and since the seminorm   is the Minkowski functional of   which is continuous on   it follows Narici & Beckenstein (2011, pp. 119–120) that   is the closed unit ball in  

References

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  1. ^ a b c d e f g h Schaefer & Wolff 1999, p. 97.
  2. ^ Schaefer & Wolff 1999, p. 169.
  3. ^ Trèves 2006, p. 370.
  4. ^ a b Trèves 2006, pp. 370–373.
  5. ^ a b c d e f g h i j Narici & Beckenstein 2011, pp. 441–457.
  6. ^ Narici & Beckenstein 2011, pp. 115–154.
  7. ^ Narici & Beckenstein 2011, pp. 441–442.
  8. ^ Trèves 2006, pp. 370–371.
  9. ^ Trèves 2006, p. 477.

Bibliography

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  • Burzyk, Józef; Gilsdorf, Thomas E. (1995). "Some remarks about Mackey convergence" (PDF). International Journal of Mathematics and Mathematical Sciences. 18 (4). Hindawi Limited: 659–664. doi:10.1155/s0161171295000846. ISSN 0161-1712.
  • Diestel, Joe (2008). The Metric Theory of Tensor Products: Grothendieck's Résumé Revisited. Vol. 16. Providence, R.I.: American Mathematical Society. ISBN 9781470424831. OCLC 185095773.
  • Dubinsky, Ed (1979). The Structure of Nuclear Fréchet Spaces. Lecture Notes in Mathematics. Vol. 720. Berlin New York: Springer-Verlag. ISBN 978-3-540-09504-0. OCLC 5126156.
  • Grothendieck, Alexander (1955). "Produits Tensoriels Topologiques et Espaces Nucléaires" [Topological Tensor Products and Nuclear Spaces]. Memoirs of the American Mathematical Society Series (in French). 16. Providence: American Mathematical Society. ISBN 978-0-8218-1216-7. MR 0075539. OCLC 1315788.
  • Hogbe-Nlend, Henri (1977). Bornologies and Functional Analysis: Introductory Course on the Theory of Duality Topology-Bornology and its use in Functional Analysis. North-Holland Mathematics Studies. Vol. 26. Amsterdam New York New York: North Holland. ISBN 978-0-08-087137-0. MR 0500064. OCLC 316549583.
  • Hogbe-Nlend, Henri; Moscatelli, V. B. (1981). Nuclear and Conuclear Spaces: Introductory Course on Nuclear and Conuclear Spaces in the Light of the Duality "topology-bornology". North-Holland Mathematics Studies. Vol. 52. Amsterdam New York New York: North Holland. ISBN 978-0-08-087163-9. OCLC 316564345.
  • Husain, Taqdir; Khaleelulla, S. M. (1978). Barrelledness in Topological and Ordered Vector Spaces. Lecture Notes in Mathematics. Vol. 692. Berlin, New York, Heidelberg: Springer-Verlag. ISBN 978-3-540-09096-0. OCLC 4493665.
  • Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. Vol. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
  • Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
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