2010
DOI: 10.1016/j.na.2009.07.019
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Eigenvalue estimates for the -Laplace operator on manifolds

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Cited by 13 publications
(24 citation statements)
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“…The proof in [30] is done in the Euclidean case, but it can be easily adapted to a manifold. This inequality combined with Lemma 5.2 gives the generalization to p-Laplacian of the Mc Kean inequality obtained in [33], and combined with Lemma 5.3 gives the inequality λ 0,p (M ) ≥ ((n − 1) k − a) p p p which generalizes the aformentioned results of [10] and [5] 4. Theorem A in [23] and the main Theorem in [22] can be immediately deduced from our results.…”
Section: Entropiessupporting
confidence: 60%
“…The proof in [30] is done in the Euclidean case, but it can be easily adapted to a manifold. This inequality combined with Lemma 5.2 gives the generalization to p-Laplacian of the Mc Kean inequality obtained in [33], and combined with Lemma 5.3 gives the inequality λ 0,p (M ) ≥ ((n − 1) k − a) p p p which generalizes the aformentioned results of [10] and [5] 4. Theorem A in [23] and the main Theorem in [22] can be immediately deduced from our results.…”
Section: Entropiessupporting
confidence: 60%
“…Geometric estimates on fundamental tones and the bottom of the spectrum of the Laplacian on Riemannian manifolds have been obtained in various contexts (see, e.g., [6,7,8,13,22] for p = 2 and φ constant, [16,23] for p ∈ (1, ∞) and φ constant) and for other results [1,2,17,18,21,25,33] and [3,14,19,22,24,32,34]. In this paper we present generalisations of some of these results to the setting of smooth metric measure spaces.…”
Section: Introductionmentioning
confidence: 86%
“…Namely, V (r) ≤ C exp(ar), where a = 4m in Theorem 5.1 (see [13]) and a = 2(2m + 1) in Theorem 5.2 (see [8]). Therefore, we get To proof the equality in the space form case we use Theorem 1.1 of [15] applied to the gradient of distance function. Precisely Here X(Ω) denotes the set of all smooth vector fields, X, on Ω with sup norm X ∞ = sup Ω X < ∞ (where X = g(X, X) 1/2 ) and inf Ω divX > 0.…”
Section: Cheng's Theorems For the P-laplacianmentioning
confidence: 99%