2015
DOI: 10.1112/blms/bdv010
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A sharp subelliptic Sobolev embedding theorem with weights

Abstract: The purpose of this short article is to prove some potential estimates that naturally arise in the study of subelliptic Sobolev inequalities for functions. This will allow us to prove a local subelliptic Sobolev inequality with the optimal amount of smoothing, as well as a variant of that which describes quantitatively an improvement of the inequality as one gets away from certain characteristic varieties.

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Cited by 16 publications
(7 citation statements)
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“…The generalized Métivier's index is also known as the non-isotropic dimension (see [21,22,74]), which plays an important role in the geometry and functional settings associated with vector fields X. Note that n + max x∈S r(x) − 1 ≤ νS < nα n for α n > 1, and νS = ν if the closure of S is equiregular and connected.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…The generalized Métivier's index is also known as the non-isotropic dimension (see [21,22,74]), which plays an important role in the geometry and functional settings associated with vector fields X. Note that n + max x∈S r(x) − 1 ≤ νS < nα n for α n > 1, and νS = ν if the closure of S is equiregular and connected.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…After that, the Poincaré inequality, Sobolev embedding theorem, estimation of Green kernel and heat kernel have also been studied by Jerison, Sanchez-Calle, Capogna, Danielli, Garofalo, Yung, etc. One can refer to [6,7,21,22,31,42] as well as the reference therein.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Therefore, we need to introduce the following generalized Métivier's index which is also called the non‐isotropic dimension of normalΩ related to X (cf. [15, 40, 52]). With the same notations as before, we set here νjfalse(xfalse)=dimVjfalse(xfalse) and then ν(x), the pointwise homogeneous dimension at x, is given by νfalse(xfalse):=j=1Qjfalse(νj(x)νj1(x)false),ν0false(xfalse):=0.Then we define ν:=maxxnormalΩ¯νfalse(xfalse)as the generalized Métivier index of normalΩ.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%