1980
DOI: 10.24033/asens.1390
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Some isoperimetric inequalities and eigenvalue estimates

Abstract: Some isoperimetric inequalities and eigenvalue estimates Annales scientifiques de l'É.N.S. 4 e série, tome 13, n o 4 (1980), p. 419-435 © Gauthier-Villars (Éditions scientifiques et médicales Elsevier), 1980, tous droits réservés. L'accès aux archives de la revue « Annales scientifiques de l'É.N.S. » (http://www. elsevier.com/locate/ansens) implique l'accord avec les conditions générales d'utilisation (http://www.numdam.org/conditions). Toute utilisation … Show more

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Cited by 300 publications
(193 citation statements)
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“…(c) It would be interesting however to know whether 1.1 can also be proved under different circumstances, e. g. if there are no curvature conditions but if a lower bound on the injectivity radius is given instead. Such a possibility seems imaginable from the work of Berger ([2], [3]) and Croke [11].…”
Section: Remarks -(A) In 32 We Find More Precisely 'K^2s (N-1) H +1mentioning
confidence: 99%
“…(c) It would be interesting however to know whether 1.1 can also be proved under different circumstances, e. g. if there are no curvature conditions but if a lower bound on the injectivity radius is given instead. Such a possibility seems imaginable from the work of Berger ([2], [3]) and Croke [11].…”
Section: Remarks -(A) In 32 We Find More Precisely 'K^2s (N-1) H +1mentioning
confidence: 99%
“…Notice dM < 26N for all M in Tl. Then using the Dirichlet drawer principle and the argument in [11,5.2], we get k(6) < N4. Thus we have Theorem 1 with the explicit bound.…”
Section: Proof Theoremmentioning
confidence: 99%
“…124] then gives a bound c(M,r) for r < R. Note also that a lower bound on the injectivity radius implies the above inequality [Cr,Proposition 14]: If r < inj(M) then vol(JB(a:,r)) > c(n) ■ rn. In dimension 2, Theorem A below is a satisfying positive answer since the assumptions do not imply a lower bound on the injectivity radius while any weakening of the assumptions leads to immediate counterexamples.…”
Section: (01) Vol(b(xr))>c(mr)?mentioning
confidence: 99%