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Mitsuru Uchiyama

Publications and source records attributed to Mitsuru Uchiyama.

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Functions and Means of Accretive Operators

Let $A$ be a bounded accretive operator on a Hilbert space and $f(t)$ an operator monotone function on $(0, \infty)$ with $f(0)>-\infty$. Then, for $ε>0$, analytic function $f (A+εI) $ is defined by Riesz-Dunford integral. We define $f(A)$ as the norm limit of it and show $$ f(A) = f(0)I + b A + \int_0^{\infty} (\frac{1}λ I - (λI + A)^{-1}) dμ(λ).$$ This is a generalization of fractional powers $$A^r = \frac{\sin r π}π \int_0^{\infty} (\frac{1}λ I - (λI + A)^{-1}) λ^{r} dλ\quad (0<r<1).$$ Let $A$ and $B$ be strictly accretive matrices, namely those real parts are positive definite. The geometric mean $A\# B$ has been introduced in Drury[6] and subsequently general matrix mean $Aσ_f B$ in Bedrani-Kittaneh-Sababheh [3]. We extend these means to accretive, not necessarily strictly accretive, operators $A$ and $B$, and verify that $$A\# B= A^{1/2} B^{1/2}$$ if $A$ and $B$ are normal and commutative. Let $A$ be a strictly accretive operator. Then we show that $$0 \leqq \frac{1}{2} (A + A^*) \leqq A \# A^* \leqq 2(A^{-1} + (A^*)^{-1})^{-1},$$ and that $A \# A^* = | A |$ if and only if $A$ is normal. For a normal and strictly accretive operator $A$ we get \begin{align*} &|A|= \frac{1}π\int_0^{\infty}A (λA + A^*)^{-1} A^* λ^{-1/2} d λ, \\ &A + A^* \leqq A^{1-r} A^{*r} + A^r A^{*(1-r)} \quad (0\leqq r \leqq 1). \end{align*}

math.FA

Some results on strongly operator convex functions and operator monotone functions

This paper concerns three classes of real-valued functions on intervals, operator monotone functions, operator convex functions, and strongly operator convex functions. Strongly operator convex functions were previously treated in [3] and [4], where operator algebraic semicontinuity theory or operator theory were substantially used. In this paper we provide an alternate treatment that uses only operator inequalities (or even just matrix inequalities). We also show that if t_0 is a point in the domain of a continuous function f, then f is operator monotone if and only if (f(t) - f(t_0))/(t - t_0) is strongly operator convex. Using this and previously known results, we provide some methods for constructing new functions in one of the three classes from old ones. We also include some discussion of completely monotone functions in this context and some results on the operator convexity or strong operator convexity of phi \circ f when f is operator convex or strongly operator convex.

math.FA

A matrix subadditivity inequality for f(A+B) and f(A)+f(B)

Let f be a non-negative concave function on the positive half-line. Let A and B be two positive matrices. Then, for all symmetric norms, || f(A+B) || is less than || f(A)+f(B) ||. When f is operator concave, this was proved by Ando and Zhan. Our method is simpler. Several related results are presented.

math.FA