2008
DOI: 10.1016/j.jfa.2008.06.006
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Parabolic mean values and maximal estimates for gradients of temperatures

Abstract: We aim to prove inequalities of the form |δ k−λ (x, t)∇ k u (x, t)is the parabolic distance of (x, t) to parabolic boundary of Ω, M − R + is the one-sided Hardy-Littlewood maximal operator in the time variable on R + , M #,λ,k D is a Calderón-Scott type d-dimensional elliptic maximal operator in the space variable on the domain D in R d , and 0 < λ < k < λ + d. As a consequence, when D is a bounded Lipschitz domain, we obtain estimates for the L p (Ω) norm of δ 2n−λ (∇ 2,1 ) n u in terms of some mixed norm ∞ 0… Show more

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Cited by 12 publications
(16 citation statements)
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“…In fact, for λ large enough, and ε small, the functions in B λ−ε p ( ) are continuous in . Let us point out that the result in Theorem 1.1 can be regarded as a second step for the program explicitly stated in the introduction of [1]. In particular we expect that the result proved in this note, could be some help to obtain improvements of Besov regularity for temperatures of the type of those in [5] for harmonic functions.…”
mentioning
confidence: 73%
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“…In fact, for λ large enough, and ε small, the functions in B λ−ε p ( ) are continuous in . Let us point out that the result in Theorem 1.1 can be regarded as a second step for the program explicitly stated in the introduction of [1]. In particular we expect that the result proved in this note, could be some help to obtain improvements of Besov regularity for temperatures of the type of those in [5] for harmonic functions.…”
mentioning
confidence: 73%
“…We point out that (3.3) follows from the mean value formula for solutions of the heat equation as in the proof of Theorem 5.1 in [1]. The fact that u is a temperature in Theorem 3.1 is used in the required mean value representation and in order to obtain estimates for the partial derivative with respect to time in terms of second order space derivatives.…”
Section: Gradient Estimates and Localizations Of Temperaturesmentioning
confidence: 96%
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“…For our first result, we shall use the parabolic analog of Theorem 3.1 in [8], essentially contained in Corollary 5.2 of [2]. Our second result is a corollary of the first one if we use Theorem 1.1 in [3].…”
Section: Introductionmentioning
confidence: 99%