Properties of best approximations with respect to the Ky Fan $p$-$k$ norm, and the strict spectral approximant of a matrix
Priyanka Grover, Krishna Kumar Gupta

TL;DR
This paper investigates properties of best matrix approximations under the Ky Fan p-k norm, including subdifferential computation, characterization of optimal approximations, and orthogonality conditions.
Contribution
It provides new characterizations and conditions for best approximations and orthogonality in the context of the Ky Fan p-k norm, extending previous spectral approximation results.
Findings
Computed the subdifferential set of the Ky Fan p-k norm.
Provided a characterization for best approximations under this norm.
Derived necessary and sufficient conditions for ε-Birkhoff orthogonality.
Abstract
Some questions raised in [K. Zi\k{e}tak, {\it From the strict Chebyshev approximant of a vector to the strict spectral approximant of a matrix}, Warsaw : Banach Center Publ., 112 Polish Acad. Sci. Inst. Math. (2017)] are discussed. To do so, the subdifferential set of the Ky Fan - norm is computed. A characterization for the best approximations with respect to the Ky Fan - norms is given. Further, necessary and sufficient conditions for -Birkhoff orthogonality with respect to the Ky Fan - norm are also derived.
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