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Research Article | Open Access

Spectral estimates for multiparametric operator products via the A -Berezin norm in RKHS

Xiu-Liang Qiu1Mehmet Gürdal2Selim Çetin3Ömer Kişi4Qing-Bo Cai5( )
Chengyi College, Jimei University, Xiamen 361021, China
Department of Mathematics, Suleyman Demirel University, 32260, Isparta, Turkey
Department of Mathematics, Burdur Mehmet Akif Ersoy University, Burdur, Turkey
Department of Mathematics, Bartın University, Bartın, Turkey
School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou 362000, China
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Abstract

This paper addresses the spectral analysis of operators acting on reproducing kernel Hilbert spaces equipped with a semi-inner product induced by a positive operator A . A fundamental challenge in this setting is the geometric discrepancy between the normalized reproducing kernels and the unit A -sphere, which renders classical numerical radius techniques inapplicable. By overcoming this structural obstacle, we establish sharp inequalities for the A -Berezin number and A -Berezin norm. Our main contribution involves the derivation of multiparametric estimates for triple operator products of the form P α X R α involving Schatten-type exponents. These results generalize and refine existing bounds in the literature. Furthermore, we provide a qualitative analysis of the obtained bounds through weighted Toeplitz operators on Hardy spaces and verify the theoretical findings with concrete matrix examples involving the geometric behavior of weight functions.

CLC number: 46E22, 47A12, 47B32

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AIMS Mathematics
Pages 6217-6230

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Cite this article:
Qiu X-L, Gürdal M, Çetin S, et al. Spectral estimates for multiparametric operator products via the A -Berezin norm in RKHS. AIMS Mathematics, 2026, 11(3): 6217-6230. https://doi.org/10.3934/math.2026256

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Received: 07 January 2026
Revised: 09 February 2026
Accepted: 02 March 2026
Published: 15 March 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)