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A treatment of a determinant inequality of Fiedler and Markham

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Abstract

Fiedler and Markham (1994) proved

$${\left( {\frac{{\det \hat H}}{k}} \right)^k} \geqslant \det H,$$

where H = (H ij ) i,j=1 n is a positive semidefinite matrix partitioned into n × n blocks with each block k × k and \(\hat H = \left( {tr{H_{ij}}} \right)_{i,j = 1}^n\) . We revisit this inequality mainly using some terminology from quantum information theory. Analogous results are included. For example, under the same condition, we prove

$$\det \left( {{I_n} + \hat H} \right) \geqslant \det {\left( {{I_{nk}} + kH} \right)^{{1 \mathord{\left/ {\vphantom {1 k}} \right. \kern-\nulldelimiterspace} k}}}.$$

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Correspondence to Minghua Lin.

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To the memory of Miroslav Fiedler (1926–2015)

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Lin, M. A treatment of a determinant inequality of Fiedler and Markham. Czech Math J 66, 737–742 (2016). https://doi.org/10.1007/s10587-016-0289-3

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  • DOI: https://doi.org/10.1007/s10587-016-0289-3

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