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An Inequality for Tensor Product of Positive Operators and Its Applications
Linear Algebra and its Applications
  • Haixia Chang, Shanghai Finance University - China
  • Vehbi Emrah Paksoy, Nova Southeastern University
  • Fuzhen Zhang, Nova Southeastern University
Document Type
Article
Publication Date
6-1-2016
Keywords
  • Generalized matrix function,
  • Induced operator,
  • Inequality,
  • Positive operator,
  • Positive semidefinite matrix,
  • Positivity,
  • Tensor,
  • Word
Abstract

We present an inequality for tensor product of positive operators on Hilbert spaces by considering the tensor products of operators as words on certain alphabets (i.e., a set of letters). As applications of the operator inequality and by a multilinear approach, we show some matrix inequalities concerning induced operators and generalized matrix functions (including determinants and permanents as special cases).

Comments

©2015 Elsevier Inc. All rights reserved.

Additional Comments
Scientific Research of Foundation of Shanghai Finance University grant #: SHFUKT13-08
DOI
10.1016/j.laa.2014.12.026
Citation Information
Haixia Chang, Vehbi Emrah Paksoy and Fuzhen Zhang. "An Inequality for Tensor Product of Positive Operators and Its Applications" Linear Algebra and its Applications Vol. 498 (2016) p. 99 - 105 ISSN: 0024-3795
Available at: http://works.bepress.com/vehbi-paksoy/30/