Inequalities Involving Unitarily Invariant Norms and Operator Monotone Functions (作用素および作用素不等式の最近の話題 研究集会報告集)

By Fumio Hiai, Xingzhi Zhan. 2002

46 citations recorded by the source corpus.

Let ∥·∥ be a unitarily invariant norm on matrices. For matrices A,B,X with A,B positive semidefinite and X arbitrary, we prove that the function t↦∥|AtXB1−t|r∥·∥|A1−tXBt|r∥ is convex on [0,1] for each r>0. This convexity result interpolates the matrix Cauchy–Schwarz inequality ∥|A1/2XB1/2|r∥2⩽∥|AX|r∥·∥|XB|r∥ due to R. Bhatia and C. Davis [Linear Algebra Appl. 223/224 (1995) 119], and also it generalizes A.W. Marshall and I. Olkin's [Pacific J. Math. 15 (1965) 241] result that the condition number ∥As∥·∥A−s∥ is increasing in s>0. We prove that if f(t) is a nonnegative operator monotone function on [0,∞) and ∥·∥ is a normalized unitarily invariant norm, then f(∥X∥)⩽∥f(|X|)∥ for every matrix X. The special case when f(t)=tr (0<r⩽1) is used to consider the monotonicity of p↦∥Ap+Bp∥1/p as well as p↦∥(Ap+Bp)1/p∥. Furthermore, we obtain some norm inequalities of Holder and Minkowski types related to the expression ∥|A|p+|B|p∥1/p. For example, comparisons are made between ∥C*A+D*B∥ and ∥|A|p+|B|p∥1/p·∥|C|q+|D|q∥1/q, where p−1+q−1=1.

Subfields: Applied Mathematics, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/b4f457048df51cd4b7e8f70f6f0f39409a345f4b

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In Applied Mathematics

  1. Priyanka Grover
  2. Rajendra Bhatia
  3. F. Kıttaneh
  4. Yongdo Lim
  5. Bruno Iannazzo
  6. Dario Bini

In Computational Theory and Mathematics

  1. Priyanka Grover
  2. Rajendra Bhatia
  3. F. Kıttaneh
  4. Yongdo Lim
  5. Bruno Iannazzo
  6. Dario Bini

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