Title: Abstract matrix spaces
1Abstract matrix spaces and their generalisation
Orawan Tripak Joint work with Martin Lindsay
2Outline 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
3Concrete Operator Space
- Definition. A closed subspace of
for some Hilbert spaces and . - We speak of an operator space in
3
4Abstract Operator Space
- Definition. A vector space , with complete
norms on , satisfying - (R1)
- (R2)
- Denote , for resulting
Banach spaces.
4
5Ruans consistent conditions
5
6Completely Boundedness
6
7Completely Boundedness(cont.)
7
8O.S. structure on mapping spaces
- Linear isomorphisms
- give norms on matrices over
and - respectively. These satisfy (R1) and (R2).
8
9Useful Identifications
- Remark. When the target is
9
10The right left h-k-matrix spaces
- Definitions. Let be an o.s. in
- Notation
10
11The 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
12Properties of h-k-matrix spaces (cont.)
- 3.
- is u.w.closed
is u.w.closed -
- 5.
12
13h-k-matrix space lifting
- Theorem. Let for
concrete operator spaces and . Then - 1.
- such that
- Called h-k-matrix space
lifting
13
14h-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
19Seeking abstract description of h-k-matrix space
(cont.)
- Theorem. For a concrete o.s. , the map
- defined by
- is completely isometric isomorphism.
19
20The proof step 1 of 4
- Lemma. LindsayWills The map
- where
- is completely isometric isomorphism.
-
20
21The proof step 1 of 4 (cont.)
- Special case when we have a map
- where
- which is completely isometric isomorphism.
21
22The proof step 2 of 4
- Lemma. The map
- where
- is completely isometric isomorphism.
22
23The proof step 3 of 4
- Lemma. The map
- where
- is a completely isometric isomorphism.
23
24The proof step 4 of 4
- Theorem. The map
- where
- is a completely isometric isomorphism.
24
25The proof step 4 of 4 (cont.)
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
29Matrix 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
31Matrix space tensor product
(cont.)
- Theorem. The map
- where
- is completely isometric isomorphism.
31
32Normal Fubini
- Theorem. Let and be ultraweakly
closed o.ss in and
respeectively. - Then
32
33Normal Fubini
- Corollary.
- 1.
- is ultraweakly closed in
- 3.
- 4. For von Neumann algebras and
33
34Matrix space tensor products lifting
- Observation. For , an
inclusion - induces a CB map
34
35Matrix space tensor products lifting
- Theorem. Let and be
an u.w. closed concrete o.s. Then - such that
35
36Matrix space tensor products lifting
- Definition. For and
- we define a map
as
36
37Matrix space tensor products lifting
- Theorem. The map corresponds to
the composition of maps -
- and
- where and
- (under the natural isomorphism
).
37
38Matrix space tensor products of maps
38
39Acknowledgements
- 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.
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