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Two-Sided Bounds for the Smallest Eigenvalue of a Positive-Definite Matrix in the Presence of Constraints

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Abstract

The problem of minimizing the Rayleigh quotient in the presence of constraints is considered. A method for obtaining two-sided bounds for the smallest eigenvalue is suggested. Bibliography: 4 titles.

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REFERENCES

  1. G. V. Savinov and G. V. Savinova, “The calculation of elastic structures by minimizing the Rayleigh quotient in subspaces," in: Mathematical Modeling of Automated Systems in Shipbuilding [in Russian], The Leningrad Shipbuilding Institute, Leningrad (1987), pp. 107–112.

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  2. Yu. Sh. Abramov, Variational Methods in the Theory of Operator Pencils. Spectral Optimization [in Russian], The Leningrad State University, Leningrad (1983).

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  3. V. N. Glushkov and A. Ya. Tsaune, “Unconditional minimization in eigenvalue problems with additional conditions," Zh. Vychisl. Mat. Mat. Fiz., 25, No. 2, 298–301 (1985).

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  4. D. K. Faddeev and V. N. Faddeeva, Computational Methods of Linear Algebra [in Russian], Fizmatgiz, Moscow (1963).

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Savinov, G.V. Two-Sided Bounds for the Smallest Eigenvalue of a Positive-Definite Matrix in the Presence of Constraints. Journal of Mathematical Sciences 114, 1857–1859 (2003). https://doi.org/10.1023/A:1022466822055

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  • DOI: https://doi.org/10.1023/A:1022466822055

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