Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Mathematics and Statistics
  4. Mathematics and Statistics Research Collection
  5. Norms of idempotent Schur multipliers
 
  • Details
Options

Norms of idempotent Schur multipliers

Author(s)
Levene, Rupert H.  
Uri
http://hdl.handle.net/10197/6134
Date Issued
2014-04-07
Date Available
2014-11-10T16:56:34Z
Abstract
Let D be a masa in B(H) where H is a separable Hilbert space. We find real numbers η0 < η1 < η2 < · · · < η6 so that for every bounded, normal D-bimodule map Φ on B(H), either kΦk > η6 or kΦk = ηk for some k ∈ {0, 1, 2, 3, 4, 5, 6}. When D is totally atomic, these maps are the idempotent Schur multipliers and we characterise those with norm ηk for 0 ≤ k ≤ 6. We also show that the Schur idempotents which keep only the diagonal and superdiagonal of an n × n matrix, or of an n×(n+ 1) matrix, both have norm 2 n+1 cot(π 2(n+1) ), and we consider the average norm of a random idempotent Schur multiplier as a function of dimension. Many of our arguments are framed in the combinatorial language of bipartite graphs.
Type of Material
Journal Article
Publisher
Electronic Journal Project
Journal
New York Journal of Mathematics
Volume
20
Issue
2014
Start Page
325
End Page
352
Copyright (Published Version)
2014 the Author
Subjects

Idempotent Schur mult...

Normal masa bimodule ...

Hadamard product

Norm

Bipartite graph

Web versions
http://nyjm.albany.edu/j/2014/20-19.html
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

zeroone.pdf

Size

636.44 KB

Format

Adobe PDF

Checksum (MD5)

315fd9dd5d3685064bc8ef81c4a7516b

Owning collection
Mathematics and Statistics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement