Properties of best approximations with respect to the Ky Fan p-k norm, and the strict spectral approximant of a matrix.

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Title: Properties of best approximations with respect to the Ky Fan p-k norm, and the strict spectral approximant of a matrix.
Authors: Grover, Priyanka1 (AUTHOR) priyanka.grover@snu.edu.in, Gupta, Krishna Kumar1 (AUTHOR) kg952@snu.edu.in
Source: Linear Algebra & its Applications. Aug2026, Vol. 743, p102-122. 21p.
Subjects: Matrix norms, Subdifferentials, Linear algebra, Approximation error, Orthogonalization, Chebyshev approximation
Abstract: Some questions raised in [K. Ziętak, 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 p - k norm is computed. A characterization for the best approximations with respect to the Ky Fan p - k norms is given. Further, necessary and sufficient conditions for ε -Birkhoff orthogonality with respect to the Ky Fan p - k norm are also derived. [ABSTRACT FROM AUTHOR]
Copyright of Linear Algebra & its Applications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Properties of best approximations with respect to the Ky Fan p-k norm, and the strict spectral approximant of a matrix.
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  Data: <searchLink fieldCode="AR" term="%22Grover%2C+Priyanka%22">Grover, Priyanka</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> priyanka.grover@snu.edu.in</i><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Krishna+Kumar%22">Gupta, Krishna Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kg952@snu.edu.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Linear+Algebra+%26+its+Applications%22">Linear Algebra & its Applications</searchLink>. Aug2026, Vol. 743, p102-122. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Matrix+norms%22">Matrix norms</searchLink><br /><searchLink fieldCode="DE" term="%22Subdifferentials%22">Subdifferentials</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+algebra%22">Linear algebra</searchLink><br /><searchLink fieldCode="DE" term="%22Approximation+error%22">Approximation error</searchLink><br /><searchLink fieldCode="DE" term="%22Orthogonalization%22">Orthogonalization</searchLink><br /><searchLink fieldCode="DE" term="%22Chebyshev+approximation%22">Chebyshev approximation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Some questions raised in [K. Ziętak, 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 p - k norm is computed. A characterization for the best approximations with respect to the Ky Fan p - k norms is given. Further, necessary and sufficient conditions for ε -Birkhoff orthogonality with respect to the Ky Fan p - k norm are also derived. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Linear Algebra & its Applications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.laa.2026.04.016
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 21
        StartPage: 102
    Subjects:
      – SubjectFull: Matrix norms
        Type: general
      – SubjectFull: Subdifferentials
        Type: general
      – SubjectFull: Linear algebra
        Type: general
      – SubjectFull: Approximation error
        Type: general
      – SubjectFull: Orthogonalization
        Type: general
      – SubjectFull: Chebyshev approximation
        Type: general
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      – TitleFull: Properties of best approximations with respect to the Ky Fan p-k norm, and the strict spectral approximant of a matrix.
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            NameFull: Grover, Priyanka
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              Text: Aug2026
              Type: published
              Y: 2026
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              Value: 743
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