1999
DOI: 10.2140/pjm.1999.187.263
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Quantitative deformation theorems and critical point theory

Abstract: In the framework of critical point theory for continuous functionals defined on metric spaces, we show how quantitative deformation properties can be used to obtain saddle-point type results, even in the case when the usual geometric assumptions are not satisfied. We thus unify and extend to a nonsmooth setting some recent results of Schechter.

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Cited by 29 publications
(23 citation statements)
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References 14 publications
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“…From Theorem 1 we know that µ(λ) > −∞ is the unique principal eigenvalue of problem (9). Let us denote here by ϕ λ the L p -normalized positive eigenfunction associated to µ(λ).…”
Section: Lemmamentioning
confidence: 99%
See 1 more Smart Citation
“…From Theorem 1 we know that µ(λ) > −∞ is the unique principal eigenvalue of problem (9). Let us denote here by ϕ λ the L p -normalized positive eigenfunction associated to µ(λ).…”
Section: Lemmamentioning
confidence: 99%
“…A sequence of eigenvalues of (P) by the Ljusternik-Schnirelmann principle can be obtained when either α(V, m) > 0 or α(V, m) = 0 and |Ω − | > 0. To this aim, one may apply, for instance, an equivariant version of a deformation theorem suitable for the (PSC) condition (see [9] or [10]). …”
Section: Cuesta and H Ramos Quoirin Nodeamentioning
confidence: 99%
“…There is a vast literature on nonsmooth analysis. To mention just the results we need in our problem, we refer the reader to [5,[9][10][11]18,27]; see also the book [17] which treats nonsmooth analysis in several chapters. The main nonsmooth tool we use is a linking theorem (see Theorem 2) for functions which are a C 1 -perturbation of a convex function; to be precise, we just use the mountain pass version of the above mentioned theorem.…”
Section: Introductionmentioning
confidence: 99%
“…A quantitative deformation lemma approach has been used in 1999 by Corvellec [34] to prove various type of minimax theorems extending some results of Schechter mentioned above to the nonsmooth frame based upon the weak slope.…”
Section: Chps-conditionmentioning
confidence: 99%