Dyadic maximal function
WebDec 1, 2008 · We obtain sharp estimates for the localized distribution function of the dyadic maximal function M ϕ d, given the local L 1 norms of ϕ and of G ϕ where G is a convex increasing function such that G (x) / x → + ∞ as x → + ∞. Using this we obtain sharp refined weak type estimates for the dyadic maximal operator. WebFor a Euclidean space with a dyadic filtration, the dyadic maximal operator is the above Doob maximal operator. For the dyadic maximal operator, the constant 1 / (p − 1) is the optimal power on [v] A p (see, e.g., [3,4]). It follows that the constant 1 / (p − 1) is also the optimal power on [v] A p for the Doob maximal operator M.
Dyadic maximal function
Did you know?
WebNov 27, 2024 · The dyadic maximal function controls the maximal function (the converse is immediate) by means of the one-third trick. Estimates for the dyadic maximal function are easier to obtain and transfer to the maximal function painlessly. The Walsh model is the dyadic counterpart to Fourier analysis. WebClassically the definition of the HL maximal operator M takes input a function defined on R n, whereas the non-tangential maximal operator F takes input a function defined on the upper-half-space R n × R +. The two operators do not even operate on the same domain, how do you want to compare the two? – Willie Wong Dec 18, 2012 at 13:03 1
WebDec 3, 2024 · The dyadic maximal function controls the maximal function (the con verse is immediate) by. means of the one-third trick. Estimates for the dyadic maximal function are easier to obtain. WebHardy–Littlewood maximal inequality [ edit] This theorem of G. H. Hardy and J. E. Littlewood states that M is bounded as a sublinear operator from the Lp ( Rd) to itself for p > 1. That is, if f ∈ Lp ( Rd) then the maximal function Mf is weak L1 -bounded and Mf ∈ Lp ( Rd ). Before stating the theorem more precisely, for simplicity, let ...
WebDec 17, 2015 · zeros of the dyadic maximal function. 4. Sublinearity of Hardy-Littlewood Maximal Function on Sobolev Spaces. 3. Pointwise inequality between a function and its fractional maximal function. 0. Finiteness of Maximal function. 0. Some questions on the Hardy Littlewood Maximal Function. 1.
WebAbstract. We prove sharp L1 inequalities for the dyadic maximal function MT φ when φ satisfies certain L1 and L∞ conditions. 1. Introduction The dyadic maximal operator on Rn is a useful tool in analysis and is defined by the formula Mdφ(x) = sup ˆ 1 S Z S φ(u) du: x∈ S,S⊂ Rn is a dyadic cube ˙, (1) for every φ∈ L1 loc(R
WebIn the present work we extend a local Tb theorem for square functions of Christ [3] and Hofmann [17] to the multilinear setting. We also present a new BM O type interpolation result for square functions associated to multilinear operators. These square function bounds are applied to prove a multilinear local Tb theorem for singular integral ... hornitex beeskowWebDefinition 1 (the Hardy-Littlewood maximal function). Considerwhere the supremum is taken over all cubes containing . Definition 2 (the sharp maximal function). Considerwhere . Next we define the dyadic maximal function. A dyadic cube is a cube of the form Definition 3 (the dyadic maximal function). hornistin berliner philharmonikerWebMar 17, 2024 · Sparse domination. Maximal functions. 1. Introduction. Recent years have seen a great deal of work around the concept of sparse domination. Perhaps the easiest … hornisstichWebMar 14, 2024 · In we already proved Theorem 1.1 for characteristic functions for the dyadic and the uncentered Hardy–Littlewood maximal operator. This paper also makes use of Lemma 2.4 , which is a variant of the relative isoperimetric inequality established in [ 27 ]. hornitex niddaWebJan 7, 2024 · Maximal operators play a prominent role in many areas of mathematics, and from the viewpoint of applications, it is often of interest to study the boundedness properties of these objects, treated as operators on various function spaces. A fundamental example is the sharp estimate hornitex horn bad meinbergWebOct 28, 2024 · In this article we give two extensions of this theorem. The first one relates the dyadic maximal function to the sharp maximal function of Fefferman-Stein, while the second one concerns local weighted mean oscillations, generalizing a … hornitex priceWebJun 2, 2024 · We prove that for the dyadic maximal operator and every locally integrable function with bounded variation, also is locally integrable and for any dimension . It means that if is a function whose gradient is a finite measure then so is and . We also prove this for the local dyadic maximal operator. Submission history hornito