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2 References  














Poincaré separation theorem







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From Wikipedia, the free encyclopedia
 


Inmathematics, the Poincaré separation theorem, also known as the Cauchy interlacing theorem,[1] gives some upper and lower bounds of eigenvalues of a real symmetric matrix B'AB that can be considered as the orthogonal projection of a larger real symmetric matrix A onto a linear subspace spanned by the columns of B. The theorem is named after Henri Poincaré.

More specifically, let A be an n × n real symmetric matrix and Bann × r semi-orthogonal matrix such that B'B = Ir. Denote by , i = 1, 2, ..., n and , i = 1, 2, ..., r the eigenvalues of A and B'AB, respectively (in descending order). We have

Proof[edit]

An algebraic proof, based on the variational interpretation of eigenvalues, has been published in Magnus' Matrix Differential Calculus with Applications in Statistics and Econometrics.[2] From the geometric point of view, B'AB can be considered as the orthogonal projectionofA onto the linear subspace spanned by B, so the above results follow immediately.[3]

References[edit]

  • ^ Magnus, Jan R.; Neudecker, Heinz (1988). Matrix Differential Calculus with Applications in Statistics and Econometrics. John Wiley & Sons. p. 209. ISBN 0-471-91516-5.
  • ^ Richard Bellman (1 December 1997). Introduction to Matrix Analysis: Second Edition. SIAM. pp. 118–. ISBN 978-0-89871-399-2.

  • Retrieved from "https://en.wikipedia.org/w/index.php?title=Poincaré_separation_theorem&oldid=1137435499"

    Categories: 
    Inequalities
    Matrix theory
     



    This page was last edited on 4 February 2023, at 17:23 (UTC).

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