2013
DOI: 10.5186/aasfm.2013.3817
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Optimal weak type estimates for dyadic-like maximal operators

Abstract: Abstract. We provide sharp weak estimates for the distribution function of Mφ when on φ we impose L 1 , L q and L p,∞ restrictions. Here M is the dyadic maximal operator associated to a tree T on a non-atomic probability measure space. As a consequence we produce that the inequality ||M T φ|| p,∞ ≤ |||φ||| p,∞ is sharp allowing every possible value for the L 1 and the L q norm for a fixed q such that

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Cited by 12 publications
(13 citation statements)
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“…for every φ ∈ L 1 (R n ) and every λ > 0, and which is easily proved to be best possible. Further refinements of (1.2) can be seen in [9] and [10]. Then by using (1.2) and the well known Doob's method it is not difficult to prove that the following L p inequality is also true for every p > 1 and φ ∈ L p (R n ).…”
Section: Introductionmentioning
confidence: 99%
“…for every φ ∈ L 1 (R n ) and every λ > 0, and which is easily proved to be best possible. Further refinements of (1.2) can be seen in [9] and [10]. Then by using (1.2) and the well known Doob's method it is not difficult to prove that the following L p inequality is also true for every p > 1 and φ ∈ L p (R n ).…”
Section: Introductionmentioning
confidence: 99%
“…For the study of the dyadic maximal operator it is desirable for one to find refinements of the above mentioned inequalities. Concerning (1.2), improvements have been given in [9] and [8]. If we consider (1.3), there is a refinement of it if one fixes the L 1 -norm of φ.…”
Section: Introductionmentioning
confidence: 99%
“…Our aim in this article is to study this maximal operator and one way to do this is to find certain refinements of the inequalities satisfied by it such as (1.2) and (1.3). Concerning (1.2) refinements have been made in [8], [10] and [12]. Refinements of (1.3) can be found in [5] or even more general in [6].…”
Section: Introductionmentioning
confidence: 99%