2015
DOI: 10.1007/s00229-015-0804-0
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An end-point global gradient weighted estimate for quasilinear equations in non-smooth domains

Abstract: A weighted norm inequality involving A1 weights is obtained at the natural exponent for gradients of solutions to quasilinear elliptic equations in Reifenberg flat domains. Certain gradient estimates in Lorentz-Morrey spaces below the natural exponent are also obtained as a consequence of our analysis.

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Cited by 17 publications
(21 citation statements)
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“…One popular approach is the approximation method pioneered by Caffarelli and Peral in [10] that avoids the use of singular integral theory directly but rather studies the integrability of gradient of solutions as a function of the deviation of the coefficients from constant coefficients. That method has been successfully implemented in [7,8] with the use of Hardy-Littlewood maximal function to treat divergence form data on irregular domains; see also [3,4,31,32,33,26,25,9] where the method is used in different function spaces such as weighted Lebesgue and Lorentz spaces, Lorentz-Morrey spaces, and Orlicz spaces. Another approach that employs a local version of the sharp maximal function of Fefferman and Stein was implemented in [29,30] (see also the earlier work of T. Iwaniec [22]).…”
Section: Discussion On the Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…One popular approach is the approximation method pioneered by Caffarelli and Peral in [10] that avoids the use of singular integral theory directly but rather studies the integrability of gradient of solutions as a function of the deviation of the coefficients from constant coefficients. That method has been successfully implemented in [7,8] with the use of Hardy-Littlewood maximal function to treat divergence form data on irregular domains; see also [3,4,31,32,33,26,25,9] where the method is used in different function spaces such as weighted Lebesgue and Lorentz spaces, Lorentz-Morrey spaces, and Orlicz spaces. Another approach that employs a local version of the sharp maximal function of Fefferman and Stein was implemented in [29,30] (see also the earlier work of T. Iwaniec [22]).…”
Section: Discussion On the Approachmentioning
confidence: 99%
“…The work [36] (see also [31,32,33]) yields weighted estimate (1.4) for q > 2 and for weights w ∈ A q/2 . In [4], the first and last named authors worked out the end-point case q = 2 for weights w ∈ A 1 . Those weighted estimates also hold true for equations with general nonlinear structures such as those that are modeled after the p-Laplacian.…”
Section: Introductionmentioning
confidence: 99%
“…The purpose of this paper is twofold: Firstly, we bridge the gap between the estimates (1.3) and (1.4) to obtain the relation 5) provided 1 ≤ q − ≤ q(·) ≤ q + < ∞, i.e., we allow q − = 1 and q(·) is log-Hölder continuous (we assume the same structure conditions on the nonlinearity A as in [10]). This represents an end point case of the estimate (1.4).…”
Section: P(·)mentioning
confidence: 99%
“…The study of regularity estimates in various function spaces for linear or non-linear elliptic equations (or systems) in non-smooth domains is one of the most interesting and important topics in partial differential equations (see, for instance, [1,7,13,17,26,29,32,33,43,44] for the linear case and [2,3,10,18,19,21,51,52] for the non-linear case). Furthermore, it is well known that the global regularity estimates for solutions to elliptic boundary problems depend not only on the structure of equations and the properties of the right-hand side datum and the coefficients appearing in equations, but also on the smooth property or the geometric property of the boundary of domains (see, for instance, [1,7,16,21,29,33,44,48,51]).…”
Section: Introductionmentioning
confidence: 99%
“…Theorem 1.7(i). Then there exists a positive constant δ 0 ∈ (0, ∞), depending only on n, p, θ and the Lipschitz constant of Ω, such that, if A satisfies the (δ, R)-BMO condition for some δ ∈ (0, δ 0 ) and R ∈ (0, ∞) or A ∈ VMO(R n ), then, for any weak solution u ∈ W 1,2 (Ω) of the Robin problem (R) 2…”
Section: Introductionmentioning
confidence: 99%