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Some New Bounds for Singular Values and Eigenvalues of Matrix Products

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Abstract

For two Hermitian matrices A and B, at least one of which is positive semidefinite, we give upper and lower bounds for each eigenvalue of AB in terms of the eigenvalues of A and B. For two complex matrices A,B with known singular values, upper and lower bounds are deduced for each singular value of AB.

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References

  1. R.A. Horn and C.R. Johnson, Matrix Analysis(Cambridge University Press, Cambridge, 1985).

    Google Scholar 

  2. R.A. Horn and C.R. Johnson, Topics in Matrix Analysis(Cambridge University Press, Cambridge, 1991).

    Google Scholar 

  3. A.S. Householder, The Theory of Matrices in Numerical Analysis(Blaisdell, New York, 1964).

    Google Scholar 

  4. B.N. Parlett, The Symmetric Eigenvalue Problem(Prentice-Hall, Englewood Cliffs, NJ, 1980).

    Google Scholar 

  5. Hu-yun Sha, Estimation of eigenvalues of AB for A > O,B > O, Lin. Alg. Appl. 73 (1986) 147–150.

    Google Scholar 

  6. G.W. Stewart, Introduction to Matrix Computation(Academic Press, New York, 1973).

    Google Scholar 

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Lu, LZ., Pearce, C. Some New Bounds for Singular Values and Eigenvalues of Matrix Products. Annals of Operations Research 98, 141–148 (2000). https://doi.org/10.1023/A:1019200322441

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  • DOI: https://doi.org/10.1023/A:1019200322441

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