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An elementary proof of the Birkhoff-Hopf theorem

Published online by Cambridge University Press:  24 October 2008

Simon P. Eveson
Affiliation:
Department of Mathematics, University of York, Heslington, York, YO1 5DD
Roger D. Nussbaum
Affiliation:
Department of Mathematics, Rutgers University, New Brunswick, New Jersey 08903, U.S.A.

Extract

In important work some thirty years ago, G. Birkhoff[2, 3] and E. Hopf [16, 17] showed that large classes of positive linear operators behave like contraction mappings with respect to certain ‘almost’ metrics. Hopf worked in a space of measurable functions and took as his ‘almost’ metric the oscillation ω(y/x) of functions y and x with x(t) > 0 almost everywhere, defined by

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1995

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References

REFERENCES

[1]Bauer, F. L.. An elementary proof of the Hopf inequality for positive operators. Numerische Math. 7 (1965), 331337.CrossRefGoogle Scholar
[2]Birkhoff, G.. Extensions of Jentzsch's Theorem. Trans. Amer. Math. Soc. 85 (1957), 219226.Google Scholar
[3]Birkhoff, G.. Uniformly semi-primitive multiplicative processes. Trans. Amer. Math. Soc. 104 (1962), 3751.CrossRefGoogle Scholar
[4]Birkhoff, G. and Kotin, L.. Asymptotic behaviour of solutions of first order linear differential-delay equations. J. Math. Anal. App. 13 (1966), 818.CrossRefGoogle Scholar
[5]Birkhoff, G.. Integro-differential delay equations of positive type. J. Differential Equations 2 (1966), 320327.CrossRefGoogle Scholar
[6]Borwein, J. M., Lewis, A. S. and Nussbaum, R. D.. Entropy minimization, DAD problems and doubly stochastic kernels. J. Functional Analysis, to appear.Google Scholar
[7]Bushell, P. J.. Hilbert's projective metric and positive contraction mappings in a Banach space. Arch. Rational Mech. Anal. 52 (1973), 330338.Google Scholar
[8]Bushell, P. J.. On the projective contraction ratio for positive linear mappings. J. London Math. Soc. 6 (1973), 256258.CrossRefGoogle Scholar
[9]Bushell, P. J.. The Cayley-Hilbert metric and positive operators. Lin. Alg. Appl. 84 (1986), 271280.Google Scholar
[10]Cohen, J. E.. Ergodic theorems in demography. Bull. Amer. Math. Soc. 1 (1979), 275295.Google Scholar
[11]Eveson, S. P.. Hilbert's projective metric and the spectral properties of positive linear operators. Proc. London Math. Soc., to appear.Google Scholar
[12]Eveson, S. P.. Theory and applications of Hilbert's projective metric to linear and nonlinear problems in positive operator theory. Ph.D. thesis, University of Sussex, 1991.Google Scholar
[13]Eveson, S. P. and Nussbaum, R. D.. Applications of the Birkhoff-Hopf Theorem to the spectral theory of positive linear operators. Math. Proc. Camb. Phil. Soc., to appear.Google Scholar
[14]Fujimoto, T. and Krause, U.. Asymptotic properties of inhomogeneous iterations of nonlinear operators. SIAM J. Math. Anal. 19 (1988), 841853.Google Scholar
[15]Golubitsky, M., Keeler, E. and Rothschild, M.. Convergence of the age structure: Application of the projective metric. Theoretic. Population Biol. 7 (1975), 8493.CrossRefGoogle ScholarPubMed
[16]Hopf, E.. An inequality for positive integral operators. J. Math. Mech. 12 (1963), 683692.Google Scholar
[17]Hopf, E.. Remarks on my paper ‘An inequality for positive integral operators’. J. Math. Mech. 12 (1963), 889892.Google Scholar
[18]Krasnosel'skii, M. A., Lifshits, Je. A. and Sobolev, A. V.. Positive linear systems: the method of positive operators. Sigma Series in Applied Mathematics, vol. 5 (Heldermann Verlag, 1989).Google Scholar
[19]Krasnosel'skii, M. A. and Sobolev, A. V.. Spectral clearance of a focusing operator. Funct. Anal. Appl. 17 (1983), 5859.Google Scholar
[20]Krein, M. G. and Rutman, M. A.. Linear operators leaving invariant a cone in a Banach space. Transl. Amer. Math. Soc. 10 (1962), 199325 (English translation by M. M. Day).Google Scholar
[21]Nussbaum, R. D.. Hilbert's projective metric and iterated nonlinear maps. Memoirs of the American Math. Soc. 75 (1988), 391.Google Scholar
[22]Nussbaum, R. D.. Hilbert's projective metric and iterated nonlinear maps II. Memoirs of the American Math. Soc. 79 (1989), 401.Google Scholar
[23]Nussbaum, R. D.. Some nonlinear weak ergodic theorems. SIAM J. Math. Anal. 21 (1990), 436460.CrossRefGoogle Scholar
[24]Nussbaum, R. D.. Entropy minimization. Hilbert's projective metric and scaling integral kernels. J. Functional Analysis, to appear.Google Scholar
[25]Ostrowski, A. M.. On positive matrices. Math. Ann. 150 (1963), 276284.Google Scholar
[26]Ostrowski, A. M.. Positive matrices and functional analysis in Recent Advances in Matrix Theory (University of Wisconsin Press, 1964) pp. 81101.Google Scholar
[27]Rudin, W.. Functional analysis (McGraw-Hill, 1973).Google Scholar
[28]Schaefer, H. H.. Topological vector spaces (Macmillan, 1966).Google Scholar
[29]Wysocki, K.. Behaviour of directions of solutions of differential equations. Differential and Integral Equations 5 (1992), 281305.CrossRefGoogle Scholar
[30]Wysocki, K.. Ergodic theorems for solutions of differential equations. SIAM J. Math. Analysis (1993), to appear.Google Scholar
[31]Zabreiko, P. P., Krasnosel'skii, M. A. and Pokornyi, Yu. V.. On a class of positive linear operators. Functional Analysis and its Applications 5 (1972), 272279.Google Scholar
[32]Ziebur, A. D.. New directions in linear differential equations. SIAM Review 21 (1979), 5770.CrossRefGoogle Scholar