2017
DOI: 10.1017/s0308210517000336
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Anisotropic Hardy inequalities

Abstract: We study some Hardy-type inequalities involving a general norm in ℝn and an anisotropic distance function to the boundary. The case of the optimality of the constants is also addressed.

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Cited by 11 publications
(8 citation statements)
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“…in Ω, we have normalΔH,pdH=normalΔHdH0. Thus Theorem 4.2 is an improvement of the result proved in [19], which gives the inequality (4.4) when p=2 under the assumption normalΔHdH0 .…”
Section: Hardy Inequality Of Geometric Typesupporting
confidence: 54%
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“…in Ω, we have normalΔH,pdH=normalΔHdH0. Thus Theorem 4.2 is an improvement of the result proved in [19], which gives the inequality (4.4) when p=2 under the assumption normalΔHdH0 .…”
Section: Hardy Inequality Of Geometric Typesupporting
confidence: 54%
“…Then we have H(dHfalse(xfalse))=1normala.normale.inΩand 1βdfalse(xfalse)dHfalse(xfalse)1αdfalse(xfalse)where dfalse(xfalse)=trueprefixinfyΩfalse|xyfalse| is the Euclidean distance from the boundary Ω. In [19], the authors studied the anisotropic Hardy inequality of geometric type as follows: Theorem Suppose dH is a ΔH‐superharmonic in Ω, i.e., normalΔHdH0in the distribution sense. Then the inequality 14normalΩfalse|ufalse|2true(dH(x)true)2dxnormalΩ(Hfalse(ufalse))2dxholds true for any uC0false(normalΩfalse).…”
Section: Hardy Inequality Of Geometric Typementioning
confidence: 99%
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“…if Ω = R n + := {x = (x 1 , ..., x n ) ∈ R n | x n > 0}, where we simply have d(x) = x n and so −∆d = 0, choosing α = (p − 1)(p + n − 1), the corresponding inequality R n + x p−1 n |∇v| p dx ≥ C(n, p) R n + x p−1 n |v| p(p+n−1)/(n−1) dx (n−1)/(p+n −1) had been established using different approaches for example in [22, §6] for p = 2, in [8,25] for general p > 1 and in [11] for the fractional case. Improved versions of the anisotropic Hardy inequality for p = 2 have been investigated in [7]. In the last section of our paper we adapt the (by now classical) method from [5] to our case and, once (1.3) has been established, we deduce a series of improved versions of the anisotropic Hardy inequality.…”
Section: Introductionmentioning
confidence: 99%