• DocumentCode
    536414
  • Title

    The Projection Matrices with Respect to the Symmetric Nonnegative Definite Matrices

  • Author

    Wang, Shiqing ; Li, Yifang

  • Author_Institution
    Coll. of Math. & Inf. Sci., North China Univ. of Water Resources & Electr. Power, Zhengzhou, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The projections and projection matrices are widely used (see e.g., Basilevsky 1983; Graybill 1983; Horn and Johnson 1990; Lutkepohl 1996). The projections and projection matrices with respect to the symmetric positive definite matrices are often used in algebra and statistics (see e.g., Rao and Mitra 1971; Searle 1982; Harville, 1997; Abadir and Magnus 2005). Harville (1997) discussed in detail the projections and projection matrices with respect to the symmetric positive definite matrices and the projections and projection matrices with respect to the symmetric nonnegative definite matrices. Recently, we found the projection matrices with respect to the symmetric nonnegative definite matrices may be able to be used in linear mixed models (see Wang 2010[9-11]). However, Harville (1997) given the properties of the projection matrices with respect to the symmetric nonnegative definite matrices are not enough. In this paper, we extend the some properties of the projection matrices with respect to the symmetric nonnegative definite matrices. Note that we do not repeat the same properties with his.
  • Keywords
    functional analysis; matrix algebra; linear mixed model; projection matrix; symmetric nonnegative definite matrix; Biological system modeling; Linear systems; Mathematical model; Matrices; Predictive models; Symmetric matrices; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4244-7159-1
  • Type

    conf

  • DOI
    10.1109/ICEEE.2010.5660095
  • Filename
    5660095