The off-diagonal block of a PPT matrix

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Lee, Eun-Young. “The off-Diagonal Block of a PPT Matrix”. Linear Algebra and Its Applications, vol. 486, 2015, pp. 449-53, https://doi.org/10.1016/j.laa.2015.08.018.
Lee, E.-Y. (2015). The off-diagonal block of a PPT matrix. Linear Algebra and Its Applications, 486, 449-453. https://doi.org/10.1016/j.laa.2015.08.018
Lee, Eun-Young. “The off-Diagonal Block of a PPT Matrix”. Linear Algebra and Its Applications 486 (2015): 449-53. https://doi.org/10.1016/j.laa.2015.08.018.
Lee EY. The off-diagonal block of a PPT matrix. Linear Algebra and its Applications. 2015;486:449-53.
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Refrences
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Refrences Analysis
The category Science: Mathematics 7 is the most frequently represented among the references in this article. It primarily includes studies from Linear Algebra and its Applications and Physical Review Letters. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Diagonal and off-diagonal blocks of positive definite partitioned matrices Linear Algebra and its Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2024
Inequalities on $ 2\times 2 $ block accretive partial transpose matrices

AIMS Mathematics 2024
Study of Eigenvalues of Some Matrices via Dilations Results in Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2023
A note on positive partial transpose blocks

AIMS Mathematics 1 2023
Extensions of some matrix inequalities related to trace and partial traces Linear Algebra and its Applications
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
1 2022
Citations Analysis
The category Science: Mathematics 8 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Some new results for Hua-type operator matrices and was published in 2016. The most recent citation comes from a 2024 study titled Inequalities on $ 2\times 2 $ block accretive partial transpose matrices. This article reached its peak citation in 2024, with 2 citations. It has been cited in 4 different journals. Among related journals, the Linear Algebra and its Applications cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year