2008
DOI: 10.1016/j.jmaa.2008.05.015
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Perturbation of the q-numerical radius of a weighted shift operator

Abstract: We formulate the Taylor series expansion for the q-numerical radius of a weighted shift operator with periodic weights near q = 0. Coefficients up to the fourth order in the expansion are found via the perturbation theory of Hermitian matrices.

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(2 citation statements)
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“…For example, upper and lower bounds are utilized to define the operator norm, which plays significantly in solving related problems. The study of the numerical radius of an operator defined on the Hilbert space is in the focus of researchers in these days in studying perturbation, convergence, iterative solution methods, and integrative methods, etc, see [1][2][3][4][5][6][7][8][9]. In this regard, the numerical radius inequality stated in (3) is studied extensively by various mathematicians, see [10][11][12][13][14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, upper and lower bounds are utilized to define the operator norm, which plays significantly in solving related problems. The study of the numerical radius of an operator defined on the Hilbert space is in the focus of researchers in these days in studying perturbation, convergence, iterative solution methods, and integrative methods, etc, see [1][2][3][4][5][6][7][8][9]. In this regard, the numerical radius inequality stated in (3) is studied extensively by various mathematicians, see [10][11][12][13][14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…The study of the numerical radius of an operator defined on the Hilbert space is in the focus of researchers in these days in studying perturbation, convergence, iterative solution methods, and integrative methods, etc, see [1][2][3][4][5][6][7][8][9]. In this regard, the numerical radius inequality stated in (3) is studied extensively by various mathematicians, see [10][11][12][13][14][15][16][17][18][19][20][21]. Actually, it is interesting for the researchers to get refinements and generalizations of this inequality [22][23][24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%