Upper bounds for Fourier decay rates of fractal measures
Xiumin Du

TL;DR
This paper establishes new upper bounds on the decay rates of Fourier transforms of fractal measures using spherical and parabolic averages, introducing an innovative 'intermediate dimension' approach.
Contribution
It presents a novel method employing an 'intermediate dimension' trick to derive sharper upper bounds on Fourier decay rates for fractal measures.
Findings
New upper bounds on Fourier decay rates
Application of 'intermediate dimension' technique
Improved understanding of fractal measure Fourier behavior
Abstract
For spherical and parabolic averages of the Fourier transform of fractal measures, we obtain new upper bounds on rates of decay by an "intermediate dimension" trick.
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Upper bounds for Fourier decay rates of fractal measures
Xiumin Du
Department of Mathematics, University of Maryland
College Park, MD
Abstract.
For spherical and parabolic averages of the Fourier transform of fractal measures, we obtain new upper bounds on rates of decay by an “intermediate dimension” trick.
1. Introduction
This paper is concerned with average decay rates of the Fourier transform of fractal measures. First recall the notation of “-dimensional” [11].
Definition**.**
Let . We say that is (at least) -dimensional if it is a positive Borel measure, supported in the unit ball , that satisfies
[TABLE]
Let be a bounded hypersurface in with everywhere non-vanishing Gaussian curvature and let be the induced Lebesgue measure on . We use to denote the average Fourier decay rate of fractal measures, which is defined as the supremum of the numbers for which
[TABLE]
whenever and is -dimensional. In this paper, we will focus on the case is the unit sphere or the truncated paraboloid .
The problem of identifying the value of was proposed by Mattila [13], and it relates to the classical distance set conjecture of Falconer [7].
In dimension two, the exact decay rates are known:
[TABLE]
In higher dimensions, it is known that in the range , but is still a mystery for . The current best lower bounds are
[TABLE]
We remark that the above results were originally computed for either or . It is however implicit in the arguments given in [12, 15, 4, 6] that the same estimates hold for any bounded hypersurface with everywhere non-vanishing Gaussian curvature (see, e.g., [3] for a generalization of [6] to a class of hypersurfaces).
Unlike the results for lower bounds, the upper bounds for decay rates are usually obtained by constructing explicit examples and thus the results depend on the hypersurface . The previous best results before this paper are summarized as follows: for the unit sphere, when ,
[TABLE]
and when ,
[TABLE]
for the truncated paraboloid and ,
[TABLE]
It is worth mentioning that when , one can find a better upper bound of by examining an example of Bourgain [2] carefully. As this upper bound coincides with the lower bound established in [4, 6], the exact decay rate can be determined in this case:
[TABLE]
Bourgain’s example is a Schrödinger solution essentially supported in a small neighborhood of a hyperplane. Recently, the authors of [5] extended Bourgain’s idea to intermediate dimensions and disproved Schrödinger maximal estimates in certain range. In this paper, we further explore this “intermediate dimension” trick to adapt the examples from [1, 11] and obtain improved upper bounds of Fourier decay rates.
We first state the results for spheres. For convenience of notation, we introduce the following functions and :
[TABLE]
For and , we are only interested in the cases that and is an integer with . In this range, for fixed and , as increases, decreases and increases.
Theorem 1.1**.**
Let and . Then
[TABLE]
where is given as follows:
(a). For ,
[TABLE]
(b). For with ,
[TABLE]
(c). For even and ,
[TABLE]
(d). For odd and ,
[TABLE]
Note that the previous best result from [11] is equivalent to saying that for and ,
[TABLE]
Since is a decreasing function of and
[TABLE]
we see that Theorem 1.1 is indeed better in the whole range stated in the theorem.
Next, we turn to the paraboloids. Define three more functions:
[TABLE]
Here is again a positive integer. For , we will focus on the range and ; for , consider the cases and ; for , we are interested in the situation that and . In all these cases, for fixed and , as increases, decreases, and increase.
Theorem 1.2**.**
Let and . Then
[TABLE]
where is given as follows:
(a). For ,
[TABLE]
(b). For with ,
[TABLE]
(c). For with ,
[TABLE]
(d). For with ,
[TABLE]
(e). For odd, and ,
[TABLE]
Note that the cases and were covered in part (c).
(f). For even and ,
[TABLE]
Note that the previous best upper bound from [1] is equivalent to saying that for and ,
[TABLE]
Since is a decreasing function of and
[TABLE]
we see that Theorem 1.2 is an improvement in the whole range stated in the theorem.
Remark 1.3**.**
It is straightforward to check . In other words, the examples for parabolic decay rates are better than those for spherical decay rates.
By combining part (a) of Theorem 1.2 and the lower bounds from [4, 6], we can now determine the exact value of the parabolic Fourier decay rates for . We record this result in the following corollary.
Corollary 1.4**.**
Let and . Then
[TABLE]
Remark 1.5**.**
To get a feeling about the numerology in Theorem 1.2, let’s explicitly write out with for some small values of . This will also be useful in the next remark.
- •
For ,
[TABLE]
- •
For ,
[TABLE]
The situation becomes more complicated for larger , and will also come into play when is large enough.
Remark 1.6**.**
Let us see what we can tell about Falconer’s distance set conjecture from our new theorems.
(a). For close to and greater than , Theorem 1.2 tells us that , where
[TABLE]
[TABLE]
and
[TABLE]
(b). According to a famous scheme developed by Mattila, the Fourier decay rates of fractal measures and Falconer’s conjecture are related as follows (see for example [4]):
Suppose that (1.1) holds for with some . Then Falconer’s distance set conjecture holds for , i.e. for any compact subset of ,
[TABLE]
where denotes the Lebesgue measure, is the Hausdorff dimension and is the distance set given by The threshold for in Falconer’s conjecture is .
(c). Suppose we plan to approach Falconer’s conjecture using the above relation. Assume (1.1) also holds for with the same . (This is the case in all previous works [12, 15, 4, 6]). Then Theorem 1.2 tells us that the best possible threshold for one could get using Mattila’s scheme is
[TABLE]
[TABLE]
This suggests that new approach (e.g., [10, 8]) may be needed to fully resolve Falconer’s conjecture.
Notation. We write if for some absolute constant , if and , and if for any . Let be fixed. By -lattice points in we mean the points in . Let denote the ball centered at , of radius , in .
Acknowledgements**.**
The author is supported by the National Science Foundation under Grant No. DMS-1856475.
2. Proof of Theorem 1.1 - Spherical decay rates
Let be -dimensional. Given a function on the unit ball , we can write , where each component is positive. Then by considering the positive measures , the estimate (1.1) tells us that
[TABLE]
Thus, by duality, we are looking for an upper bound for the such that
[TABLE]
where
[TABLE]
This example is adapted from that of [11]. Let be a fixed small constant and . The exact value of will be chosen later. Let and . Denote
[TABLE]
[TABLE]
where
[TABLE]
[TABLE]
For , the unit sphere in , we write as
[TABLE]
To prove Theorem 1.1, we’ll test the estimate (2.5) on the characteristic function f(\xi)=\raisebox{3.01385pt}{\chi}_{\Omega}(\xi), where the set is defined by
[TABLE]
and
[TABLE]
So we have that .
It’s well known (see, for example, a survey about lattice points on spheres [9]) that for , there holds
[TABLE]
for a sequence of tending to . We’ll focus on such values of . Note that, in the definition of , each point in gives us a small patch on , which has size in dimension and in each of the other dimensions. Therefore,
[TABLE]
Next, we define a set in by
[TABLE]
The idea is that for , the phase of the integrand in (2.6) is sufficiently close to , and so there is little cancellation - see Lemma 2.1. Now define by
[TABLE]
where is the Lebesgue measure in . From the definition it follows that
[TABLE]
We need the following two lemmas, whose proofs are postponed.
Lemma 2.1**.**
For given above,
[TABLE]
Lemma 2.2**.**
By taking
[TABLE]
we have
[TABLE]
By plugging in (2.9), (2.12), (2.13) and (2.15), we obtain
[TABLE]
Comparing the above with (2.5), letting tend to infinity and taking sufficiently close to , we see that
[TABLE]
where is given as in (2.14). To prove Theorem 1.1, we just take suitable for different values of . It follows directly from (2.14) that we can choose as follows:
- •
For , .
- •
For even and , .
- •
For odd and ,
- •
For with ,
[TABLE]
It is straightforward to check that
[TABLE]
Also note that in this case.
This finishes the proof of Theorem 1.1 up to Lemmas 2.1 and 2.2.
2.1. Proof of Lemma 2.1
Since f=\raisebox{3.01385pt}{\chi}_{\Omega}, we have
[TABLE]
So it suffices to prove that
[TABLE]
provided that and . Indeed, by definitions of and , we write
[TABLE]
[TABLE]
and
[TABLE]
Then it is straightforward to verify that (2.16) holds.
- •
.
- •
For , we have
[TABLE]
where and the other three terms are bounded by
[TABLE]
Therefore, (2.16) follows by taking sufficiently small, say .
2.2. Proof of Lemma 2.2
Recall that d\mu=\raisebox{3.01385pt}{\chi}_{\Lambda}\,dx and is defined by
[TABLE]
We aim to prove that
[TABLE]
by taking
[TABLE]
For convenience, we write
[TABLE]
where
[TABLE]
We will calculate directly from (2.17). The important scales for are ordered as follows:
[TABLE]
Now we calculate for different values of .
- •
For ,
[TABLE]
Since , we have
[TABLE]
- •
For ,
[TABLE]
Since , we have
[TABLE]
- •
For ,
[TABLE]
Since , we have
[TABLE]
- •
For ,
[TABLE]
If , we have
[TABLE]
and if , we have
[TABLE]
It is also obvious that
[TABLE]
Therefore, for , by combining (2.19), (2.20), (2.21) and (2.22), we can tell that
[TABLE]
provided that
[TABLE]
And for , by combining (2.19), (2.20), (2.21) and (2.23), we can tell that
[TABLE]
provided that
[TABLE]
as desired. This completes the proof of Lemma 2.2.
3. Proof of Theorem 1.2 - Parabolic decay rates
This example is adapted from that of [1] in a similar way as in the previous section. Recall that is a fixed small constant. In this section, we will still use but redefine the notations and . Let . Let and . In below, , while in and below, could be . Denote
[TABLE]
[TABLE]
where
[TABLE]
[TABLE]
For , the truncated paraboloid in , we write as
[TABLE]
For simplicity, we denote by , and write the interval as . To prove Theorem 1.2, we’ll test the estimate (2.5) on the characteristic function f(\xi)=\raisebox{3.01385pt}{\chi}_{\Omega}(\xi), where the set is defined by
[TABLE]
By definition, we have
[TABLE]
Next, we define a set in by
[TABLE]
Now, define by
[TABLE]
where is the Lebesgue measure in . From the definition it follows that
[TABLE]
Moreover, we have the following two lemmas, whose proofs are postponed.
Lemma 3.1**.**
For given above,
[TABLE]
Lemma 3.2**.**
We have
[TABLE]
by taking as follows:
(a). If , then
[TABLE]
and
[TABLE]
(b). If , then
[TABLE]
and
[TABLE]
and
[TABLE]
and
[TABLE]
Moreover, (3.36) and (3.37) also holds when .
By plugging in (3.26), (3.29), (3.30) and (3.31), we obtain
[TABLE]
Comparing the above with (2.5), letting tend to infinity and taking sufficiently close to , we see that
[TABLE]
where is given as in Lemma 3.2. To prove Theorem 1.2, we just take suitable for different values of :
- •
For , by (3.33) we can take
[TABLE]
.
- •
For with , by (3.32) we can take , and by (3.33) we can take . Therefore, (3.38) holds with
[TABLE]
It is straightforward to check that
[TABLE]
and
[TABLE]
- •
For with , by (3.32) we can take
[TABLE]
- •
For with , by applying (3.32) when and applying (3.34) otherwise we can take , by (3.35) we can take \kappa=\max\big{\{}\kappa_{3}(j-1;\alpha,d),\,\,\kappa_{5}(j-1;\alpha,d)\big{\}}, and by (3.36) we can take . Therefore, (3.38) holds if we choose to be
[TABLE]
and (3.35) tells us that this number is
[TABLE]
and
[TABLE]
- •
For odd, and , by applying (3.32) when and applying (3.34) when , we can take
[TABLE]
Note that when , the case is the same as the case with , and we have
[TABLE]
- •
For even and , by applying (3.32) when and applying (3.34) when , we can take
[TABLE]
Note that the above discussion covers all the cases and for Theorem 1.2. It remains to verify Lemmas 3.1 and 3.2, and we will do so in the following two subsections.
3.1. Proof of Lemma 3.1
Since f=\raisebox{3.01385pt}{\chi}_{\Omega}, we have
[TABLE]
So it suffices to prove that
[TABLE]
provided that and . Indeed, by definitions of and , we write
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Let us look at the four components in (3.39) separately:
- •
,
- •
Since ,
[TABLE]
- •
For , we have
[TABLE]
where and the other three terms are bounded by
[TABLE]
- •
For , we have
[TABLE]
where and the other five terms are bounded by
[TABLE]
Therefore, (3.39) follows by taking sufficiently small, say .
3.2. Proof of Lemma 3.2
Recall that d\mu=\raisebox{3.01385pt}{\chi}_{\Lambda}\,dx and is defined by
[TABLE]
We aim to prove that
[TABLE]
by taking as stated in Lemma 3.2.
Recall that
[TABLE]
where
[TABLE]
We will calculate directly from (3.40). The important scales for are and . To compare the scales and , we consider the two cases and separately.
Case I**: ** In this case, the important scales for are ordered as follows:
[TABLE]
Now we calculate for different values of .
- •
For ,
[TABLE]
Since , we have
[TABLE]
- •
For ,
[TABLE]
If , we have
[TABLE]
and if , we have
[TABLE]
- •
For ,
[TABLE]
If , we have
[TABLE]
and if , we have
[TABLE]
- •
For ,
[TABLE]
Since , we have
[TABLE]
- •
For ,
[TABLE]
If , we have
[TABLE]
and if , we have
[TABLE]
It is also obvious that
[TABLE]
Therefore, for , by combining (3.41), (3.43), (3.44), (3.46) and (3.47), we can tell that
[TABLE]
provided that
[TABLE]
For , by combining (3.41), (3.43), (3.44), (3.46) and (3.48), we can tell that
[TABLE]
provided that
[TABLE]
For , by combining (3.41), (3.43), (3.45), (3.46) and (3.48), we can tell that
[TABLE]
provided that
[TABLE]
Note that the calculation of above is in the case . While
[TABLE]
and
[TABLE]
Also note that
[TABLE]
[TABLE]
and
[TABLE]
Therefore, in Case I we obtain by taking as follows:
- •
If , then
[TABLE]
and
[TABLE]
- •
If , then
[TABLE]
Case II**: ** Note that, we have proved Lemma 3.2 for in Case I. Therefore, here we can assume that . In this case, the important scales for are ordered as follows:
[TABLE]
Now we calculate for different values of .
- •
For , same as in Case I, if we have
[TABLE]
and if we have
[TABLE]
- •
For ,
[TABLE]
Since , we have
[TABLE]
- •
For ,
[TABLE]
If , we have
[TABLE]
and if , we have
[TABLE]
- •
For ,
[TABLE]
If , we have
[TABLE]
and if , we have
[TABLE]
It is also obvious that
[TABLE]
Therefore, for , by combining (3.53), (3.54), (3.55) and (3.57), we can tell that
[TABLE]
provided that
[TABLE]
For (and so ), by combining (3.53), (3.54), (3.56) and (3.57), we can tell that
[TABLE]
provided that
[TABLE]
Therefore, we can take
[TABLE]
While, by a direct calculation, if , then
[TABLE]
and if , then
[TABLE]
Next, for (and so ), by combining (3.53), (3.54), (3.56) and (3.58), we can tell that
[TABLE]
provided that
[TABLE]
Note that the calculation of above is in the case . While
[TABLE]
and
[TABLE]
Also, note that
[TABLE]
[TABLE]
and
[TABLE]
Therefore, in Case II we obtain by taking as follows:
- •
If , then
[TABLE]
- •
If , then
[TABLE]
and
[TABLE]
and
[TABLE]
And (3.62) also holds and is nontrivial when .
The proof of Lemma 3.2 is done by combining the conclusions from both Case I and Case II.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[2] J. Bourgain, A note on the Schrödinger maximal function , J. Anal. Math. 130 (2016), 393-396.
- 3[3] C.H. Cho and H. Ko, Note on maximal estimates of generalized Schrödinger equation , ar Xiv:1809.03246
- 4[4] X. Du, L. Guth, Y. Ou, H. Wang, B. Wilson and R. Zhang, Weighted restriction estimates and application to Falconer distance set problem , Amer. J. Math. (to appear)
- 5[5] X. Du, J. Kim, H. Wang, R. Zhang, Lower bounds for estimates of the Schrödinger maximal function , Math. Res. Lett. (to appear)
- 6[6] X. Du and R. Zhang, Sharp L 2 superscript 𝐿 2 L^{2} estimates of the Schrödinger maximal function in higher dimensions , Ann. of Math. 189 (2019), no. 3, 837-861
- 7[7] K. J. Falconer, On the Hausdorff dimensions of distance sets , Mathematika 32 (1985), no. 2, 206-212 (1986).
- 8[8] L. Guth, A. Iosevich, Y. Ou and H. Wang, On Falconer’s distance set problem in the plane , ar Xiv:1808.09346
