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Abstract matrix spaces

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Abstract matrix spaces and their generalisation Orawan Tripak Joint work with Martin Lindsay – PowerPoint PPT presentation

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Title: Abstract matrix spaces


1
Abstract matrix spaces and their generalisation
Orawan Tripak Joint work with Martin Lindsay
2
Outline of the talk
  • Background Definitions
  • - Operator spaces
  • - h-k-matrix spaces
  • - Two topologies on h-k-matrix spaces
  • Main results
  • - Abstract description of h-k-matrix spaces
  • Generalisation
  • - Matrix space tensor products
  • - Ampliation

2
3
Concrete Operator Space
  • Definition. A closed subspace of
    for some Hilbert spaces and .
  • We speak of an operator space in

3
4
Abstract Operator Space
  • Definition. A vector space , with complete
    norms on , satisfying
  • (R1)
  • (R2)
  • Denote , for resulting
    Banach spaces.

4
5
Ruans consistent conditions
  • Let , ,
    and
  • . Then
  • and

5
6
Completely Boundedness
  • Lemma. Smith. For

6
7
Completely Boundedness(cont.)
7
8
O.S. structure on mapping spaces
  • Linear isomorphisms
  • give norms on matrices over
    and
  • respectively. These satisfy (R1) and (R2).

8
9
Useful Identifications
  • Remark. When the target is

9
10
The right left h-k-matrix spaces
  • Definitions. Let be an o.s. in
  • Notation

10
11
The right left h-k-matrix spaces
  • Theorem. Let V be an operator space in
  • and let h and k be Hilbert spaces. Then
  • is an o.s. in
  • 2. The natural isomorphism
  • restrict to

11
12
Properties of h-k-matrix spaces (cont.)
  • 3.
  • is u.w.closed
    is u.w.closed
  • 5.

12
13
h-k-matrix space lifting
  • Theorem. Let for
    concrete operator spaces and . Then
  • 1.
  • such that
  • Called h-k-matrix space
    lifting

13
14
h-k-matrix space lifting (cont.)
  • 2.
  • 3.
  • 4. if is CI then
    is CI too.
  • In particular, if is CII then so is

14
15
Topologies on
  • Weak h-k-matrix topology is the locally convex
    topology generated by seminorms
  • Ultraweak h-k-matrix topology is the locally
    convex topology generated by seminorms

15
16
Topologies on
(cont.)
  • Theorem. The weak h-k-matrix topology and the
  • ultraweak h-k-matrix topology coincide on
    bounded
  • subsets of

16
17
Topologies on
(cont.)
  • Theorem. For
  • is continuous
    in both weak and
  • ultraweak h-k-matrix topologies.

17
18
Seeking abstract description of h-k-matrix
space
  • Properties required of an abstract description.
  • When is concrete it must be completely
    isometric to
  • 2. It must be defined for abstract operator
    space.

18
19
Seeking abstract description of h-k-matrix space
(cont.)
  • Theorem. For a concrete o.s. , the map
  • defined by
  • is completely isometric isomorphism.

19
20
The proof step 1 of 4
  • Lemma. LindsayWills The map
  • where
  • is completely isometric isomorphism.

20
21
The proof step 1 of 4 (cont.)
  • Special case when we have a map
  • where
  • which is completely isometric isomorphism.

21
22
The proof step 2 of 4
  • Lemma. The map
  • where
  • is completely isometric isomorphism.

22
23
The proof step 3 of 4
  • Lemma. The map
  • where
  • is a completely isometric isomorphism.

23
24
The proof step 4 of 4
  • Theorem. The map
  • where
  • is a completely isometric isomorphism.

24
25
The proof step 4 of 4 (cont.)
  • The commutative diagram

25
26
Matrix space lifting left multiplication
26
27
Topologies on
  • Pointwise-norm topology is the locally convex
    topology generated by seminorms
  • Restricted pointwise-norm topology is the locally
    convex topology generated by seminorms

27
28
Topologies on
(cont.)
  • Theorem. For the
    left multiplication is continuous in
    both pointwise-norm topology and restricted
    pointedwise-norm topologies.

28
29
Matrix space tensor product
  • Definitions. Let be an o.s. in
    and be an ultraweakly closed concrete o.s.
  • The right matrix space tensor product is defined
    by
  • The left matrix space tensor product is defined by

29
30
Matrix space tensor product
  • Lemma. The map
  • where
  • is completely isometric isomorphism.

30
31
Matrix space tensor product
(cont.)
  • Theorem. The map
  • where
  • is completely isometric isomorphism.

31
32
Normal Fubini
  • Theorem. Let and be ultraweakly
    closed o.ss in and
    respeectively.
  • Then

32
33
Normal Fubini
  • Corollary.
  • 1.
  • is ultraweakly closed in
  • 3.
  • 4. For von Neumann algebras and

33
34
Matrix space tensor products lifting
  • Observation. For , an
    inclusion
  • induces a CB map

34
35
Matrix space tensor products lifting
  • Theorem. Let and be
    an u.w. closed concrete o.s. Then
  • such that

35
36
Matrix space tensor products lifting
  • Definition. For and
  • we define a map
    as

36
37
Matrix space tensor products lifting
  • Theorem. The map corresponds to
    the composition of maps
  • and
  • where and
  • (under the natural isomorphism
    ).

37
38
Matrix space tensor products of maps
38
39
Acknowledgements
  • I would like to thank Prince of Songkla
    University, THAILAND for financial support
    during my research and for this trip.
  • Special thanks to Professor Martin Lindsay for
    his kindness, support and helpful suggestions.

40
PSU At a Glance...
  • 1st University in Southern Thailand, est. 1967
  • 5 Campuses
  • 36,000 Students (2009)

Surat Thani
Hat Yai
Phuket
Trang
Pattani
41
Academically...
  • A National Research University (NRU)
  • Comprehensive University
  • Ranked 4th in the Nation in Term of Publications
  • Research Strong Points Include
  1. Natural Rubber
  2. Biodiesel and Energy
  3. Sea Food and Halal Food
  4. Marine Sciences
  5. Nanotechnology
  6. Peace Studies

42
Kobkoon Ka
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