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Some applications of the Hermit-Hadamard inequality for log-convex functions in quantum divergence
  • Fatemeh Hassanzad,
  • Hossien Mehri-Dehnavi,
  • Hamzeh Agahi
Fatemeh Hassanzad
Babol Noshirvani University of Technology
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Hossien Mehri-Dehnavi
Babol Noshirvani University of Technology
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Hamzeh Agahi
Baol Noshirvani University of Technology
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One of the beautiful and very simple inequalities for a convex function is the Hermit-Hadamard inequality [S. Mehmood, et. al. Math. Methods Appl. Sci., 44 (2021) 3746], [S. Dragomir, et. al., Math. Methods Appl. Sci., in press]. The concept of log-convexity is a stronger property of convexity. Recently, the refined Hermit-Hadamard’s inequalities for log-convex functions were introduced by researchers [C. P. Niculescu, Nonlinear Anal. Theor., 75 (2012) 662]. In this paper, by the Hermit-Hadamard inequality, we introduce two parametric Tsallis quantum relative entropy, two parametric Tsallis-Lin quantum relative entropy and two parametric quantum Jensen-Shannon divergence in quantum information theory. Then some properties of quantum Tsallis-Jensen-Shannon divergence for two density matrices are investigated by this inequality. \newline \textbf{Keywords:} \textit{ Hermit-Hadamard’s inequality; log-convexity; Density matrices; Quantum relative entropy; Tsallis quantum relative entropy; quantum Jensen-Shannon divergence divergence.

Peer review status:UNDER REVIEW

16 Jul 2021Submitted to Mathematical Methods in the Applied Sciences
21 Jul 2021Assigned to Editor
21 Jul 2021Submission Checks Completed
23 Jul 2021Reviewer(s) Assigned