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A theorem of Hardy, Littlewood and Pólya and some related results for infinite vectors

Published online by Cambridge University Press:  24 October 2008

Hazel Perfect
Affiliation:
University of Sheffield

Extract

We recall that a square matrix (finite or infinite) with non-negative elements and with each row-sum and column-sum equal to 1 is called doubly-stochastic (d.s.). If each row-sum and column-sum of a non-negative square matrix is less than or equal to 1, the matrix is called doubly-substochastic (d.s.s.).

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1967

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References

REFERENCES

(1)Fan, Ky.Maximum properties and inequalities for eigenvalues of completely continuous operators. Proc. Nat. Acad. Sci. U.S.A. 37 (1951), 760–1.CrossRefGoogle ScholarPubMed
(2)Hardy, G. H., Littlewood, J. E. and Pólya, G.Inequalities (Cambridge, 1934.)Google Scholar
(3)Lidskii, V. B.On the characteristic numbers of the sum and product of symmetric matrices. Dokl. Akad. Nauk. SSSR 75 (1950), 769–72.Google Scholar
(4)Markus, A. S.The eigen- and singular values of the sum and product of linear operators. Russian Math. Surveys 19 no. 4 (1964), 91120.CrossRefGoogle Scholar
(5)Mirsky, L.On a convex set of matrices. Arch. Math. 10 (1959), 8892.CrossRefGoogle Scholar
(6)Mirsky, L.An existence theorem for infinite matrices. Amer. Math. Monthly 68 (1961), 465–9.CrossRefGoogle Scholar
(7)Rado, R.An inequality. J. London Math. Soc. 27 (1952), 16.CrossRefGoogle Scholar