
TL;DR
This paper proves the Fourier restriction conjecture for a hyperbolic cone in four-dimensional space by applying bilinear restriction theorems and bilinear-to-linear techniques.
Contribution
It establishes the conjectured restriction estimates for a hyperbolic cone in -dimensional space, advancing the understanding of Fourier analysis on such hypersurfaces.
Findings
Confirmed the Fourier restriction conjecture for hyperbolic cones in D.
Applied bilinear restriction theorems to hyperbolic cross sections.
Extended bilinear-to-linear methods to this geometric setting.
Abstract
Using a bilinear restriction theorem of Lee and a bilinear-to-linear argument of Stovall, we obtain the conjectured range of Fourier restriction estimates for a conical hypersurface in with hyperbolic cross sections.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Fourier restriction to a hyperbolic cone
Benjamin Baker Bruce
Department of Mathematics, University of Wisconsin, Madison
Abstract.
Using a bilinear restriction theorem of Lee and a bilinear-to-linear argument of Stovall, we obtain the conjectured range of Fourier restriction estimates for a conical hypersurface in with hyperbolic cross sections.
1. Introduction
In this article, we resolve the Fourier restriction problem for the conical hypersurface
[TABLE]
in . In this case, the problem asks, for which exponents is the extension (adjoint restriction) operator
[TABLE]
of strong type ? The restriction problem for the light cone in was solved by Wolff [7], while for other conical hypersurfaces, such as those with negatively curved cross sections, it has remained open. In the case of , nearly optimal results are known: Greenleaf [1] proved that is of strong type for and , and Lee [2] extended that range to and . The main result of this article is the boundedness of on the scaling line for , solving the remaining part of the restriction problem for .
Theorem 1.1**.**
The operator is of strong type for .
Because is (a compact piece of) a cone whose cross sections are hyperbolic paraboloids, the slicing argument in [3] shows that a strong type restriction estimate for the hyperbolic paraboloid in implies the corresponding result for . Therefore, by [4] (and the references therein), the estimate in Theorem 1.1 is known for and holds conditionally for smaller , pending further progress on restriction to the hyperbolic paraboloid. The superior bilinear restriction theory for , in relation to that of the hyperbolic paraboloid, allows us to prove Theorem 1.1 unconditionally.
Terminology and notation. A positive constant is admissible if it depends only on . We write or to mean for some admissible constant , which is allowed to change from line to line. We denote the one-dimensional Hausdorff measure by . We write for the base logarithm. An interval of the form for some is dyadic, and denotes the set of dyadic intervals of length . The product of two dyadic intervals is a tile, and denotes the set of tiles. Given , we set . We denote by and , respectively, the projections and , for and . If is one of these projections and a subset of the domain of , the -projection of refers to the set , and a -fiber of is any set of the form with . Horizontal and vertical refer to the directions in parallel to the standard basis vectors and , respectively. Finally, the extension of a set refers to the Fourier extension of the set’s characteristic function.
Outline of the proof. We adapt an argument of Stovall [4] which showed that, for , the extension operator associated to the hyperbolic paraboloid in is of strong type , provided an appropriate bilinear restriction inequality holds for some and . A bilinear estimate suitable for running Stovall’s argument on the hypersurface is already known:
Theorem 1.2** (Lee [2]).**
Let be squares with unit separation in both the horizontal and vertical directions. If , then
[TABLE]
for all bounded measurable functions and supported in and , respectively.
To prove Theorem 1.1, it suffices to show that is of restricted strong type for every . Thus, we aim to prove that
[TABLE]
for an arbitrary measurable set . In Section 2, we use Theorem 1.2 and a bilinear-to-linear argument of Vargas [5] to show that sets having roughly constant - (or -) fiber length obey (1.1). In Section 3, we solve a related inverse problem: For which sets of constant fiber length can the inequality in (1.1) be reversed? Oversimplified, our answer is that must be a box of the form ; proving (1.1) then becomes a matter of bounding the extension of a union of boxes, which we do in Section 4. Our real answer, however, is quantitative: We show that is approximately a union of boxes, where the number of boxes in the union and the tightness of the approximation are controlled by the constant , defined thus:
Definition 1.3**.**
For measurable sets , let denote the smallest number , either dyadic, zero, or infinite, such that for every measurable set , and let .
Finally, in Section 5, we start with a generic set , decompose it into sets of fiber length roughly , sorted thence according to the value of , and apply the restriction estimates of Sections 3 and 4 to obtain (1.1).
While much of our argument resembles Stovall’s in [4], we include full details for the convenience of the reader.
Acknowledgments. The author thanks Sanghyuk Lee for introducing him to this problem and Betsy Stovall for her advice. This work was supported by National Science Foundation grants DMS-1653264 and DMS-1147523.
2. Extensions of sets of constant fiber length
In this section, we prove a scaling line restriction estimate for characteristic functions of sets of constant -fiber length, arguing à la Vargas [5]. By symmetry, the same estimate then holds for sets of constant -fiber length.
Definition 2.1**.**
Given a measurable set and an integer , let
[TABLE]
Proposition 2.2**.**
Suppose that for some . Then .
Proof.
Let be measurable. Given , we write if and are separated by a distance of in the horizontal direction and in the vertical direction. Up to a set of measure zero, we have
[TABLE]
Consequently, by the triangle inequality and Lemma 6.1 in [6] (using that ),
[TABLE]
By rescaling, Theorem 1.2 implies that
[TABLE]
for with . Given , there are admissibly many such that , and for each such , we have (say) . Thus,
[TABLE]
Let be an integer such that . Then, by Fubini’s theorem, and
[TABLE]
We split the right-hand side of (2) into four parts: summation over satisfying (i) , ; (ii) , ; (iii) , ; (iv) , . Each part is estimated simply by applying (2.2) and summing a geometric series. We obtain the desired bound in this way. ∎
3. An inverse problem related to Proposition 2.2
In this section, we answer quantitatively the following question: If extremizes the inequality in Proposition 2.2, what structure must have?
Proposition 3.1**.**
Suppose that for some , let be an integer such that , and let . Up to a set of measure zero, there exists a decomposition
[TABLE]
where the union is taken over dyadic numbers, such that
- (i)
, and 2. (ii)
, where with for some admissible constant .
Proof of Proposition 3.1.
The construction of the sets consists of five steps. We will begin by dividing into sets whose -projections have constant -fiber length , respectively. That simple step enables us to adapt then the decomposition scheme employed in [4]. We divide each into sets whose respective projections to the -axis are contained in intervals in . In our third step, we divide each into sets of constant -fiber length . To each we may then apply variants of the first two steps wherein the roles of the coordinates are reversed. Indeed, were replaced by in Definition 2.1, each would be of the form . In the end, we obtain sets whose respective projections to the -axis are contained in intervals in . For fixed , we define to be the union of the sets , of which there will be at most by construction. Appearing in the argument below, there are of course constants and minor technical adjustments missing from this summary.
Step 1. For each dyadic number , define
[TABLE]
where is an admissible constant to be chosen momentarily.
Lemma 3.2**.**
For every , we have .
Proof of Lemma 3.2.
Let be measurable, and let be an integer such that . We record the bound
[TABLE]
Following the proof of Proposition 2.2, we have
[TABLE]
By Fubini’s theorem,
[TABLE]
for every . As in the proof of Proposition 2.2, we split the right-hand side of (3.2) into four parts: summation over satisfying (i) , ; (ii) , ; (iii) , ; (iv) , . Using (3) and (3.1), we bound the sum corresponding to (i) by
[TABLE]
Using the same steps, the sum corresponding to (ii) is at most
[TABLE]
The sums corresponding to (iii) and (iv) can be handled in essentially the same way, leading to the estimate
[TABLE]
We conclude the proof by setting . ∎
Step 2. For each , let , and note that with as in the proof of Lemma 3.2. Given a dyadic number and a Lebesgue point of , let be the maximal dyadic interval such that and
[TABLE]
where is an admissible constant to be chosen later; such an interval exists by the Lebesgue differentiation theorem. Without loss of generality, we assume that is equal to its set of Lebesgue points. Let
[TABLE]
If , define and for , and let
[TABLE]
For , define and for . For , let
[TABLE]
where .
Remark 3.3**.**
We note that for and for , while in general is not contained in . We do have
[TABLE]
Lemma 3.4**.**
For every , the set is contained in a union of boxes of the form , with , and satisfies .
Proof of Lemma 3.4.
We argue first under the hypothesis that , then indicate the changes needed when . By its definition, is covered by dyadic intervals of length , in each of which has density obeying (3.4). The density of each such in is
[TABLE]
Therefore, if is a minimal-cardinality covering of by these (consisting necessarily of pairwise disjoint intervals), then . Moreover, (3.4) and (3.1) imply that
[TABLE]
for every . Thus, is covered by intervals in . Since , it immediately follows that is contained in a union of boxes of the form claimed.
We turn to the restriction estimate. If , the result follows from Lemma 3.2 and Remark 3.3. Thus, we may assume that . We proceed by optimizing the proof of Proposition 2.2, as in [4]. Let be measurable. From the proof of (2), we see that
[TABLE]
Fix . By Fubini’s theorem and the definition of (with ), we have
[TABLE]
For certain , the definition of leads to a better estimate. We claim that if , then
[TABLE]
Fix such a . Note that is contained in a union of four tiles in , so it suffices to prove (3.7) with in place of . Let , where and . We have
[TABLE]
provided is sufficiently small. Suppose that . Then there exists such that , whence
[TABLE]
Consequently, by the maximality of and the fact that , we have
[TABLE]
Thus, by Fubini’s theorem,
[TABLE]
as claimed.
Now, to bound (3.5), we split the sum into eight parts determined by the conditions (a) , (b) and (i) , (ii) , (iii) , (iv) . In each case, we use (3.7) if it applies, otherwise (3). Summing geometric series and using (3.1) and the fact that , it is straightforward to deduce the bound
[TABLE]
where is an admissible constant determined by . We may choose so that ; this better-than-required exponent will be utilized in the next paragraph.
Suppose now that . For , the preceding arguments work equally well with replaced by , where . In particular, each such is contained in a union of boxes , with , and satisfies . The case is similar, but with the bound following directly from the definition of . Since the number of sets is and their union is , the lemma holds for as well. ∎
Step 3. For dyadic and , define
[TABLE]
where is an admissible constant to be chosen later. Lemma 3.4 implies that for every . Thus,
[TABLE]
Lemma 3.5**.**
For every and , we have .
Proof of Lemma 3.5.
If , then by Lemma 3.4, we have
[TABLE]
for chosen sufficiently large. Thus, we may assume that . Given a measurable set and , the set has - and -fibers of length at most and , respectively, and it has - and -projections of measure at most and , respectively. Therefore, by Fubini’s theorem,
[TABLE]
Following [4], we define
[TABLE]
Each belongs to some , , so by (3.5) and (3.8), we have
[TABLE]
Summing these geometric series leads to the bound , where is an admissible constant determined by ; increasing if necessary, we can make . ∎
As indicated above, the final two steps of our construction are variants of the first two, wherein the roles of the coordinates are reversed. Below, we briefly explain how the argument in Steps 1 and 2 transfers, without rewriting all the details. In short, has constant -fiber length by construction and thus may replace , and may replace by Lemma 3.5.
Step 4. For each dyadic number , define
[TABLE]
Lemma 3.6**.**
For every , , and , we have .
Proof of Lemma 3.6.
Since has constant -fiber length, we can imitate the proof of Lemma 3.2 to show that . ∎
Step 5. For each , let , and let be an integer such that . Given a dyadic number and a Lebesgue point of , let be the maximal dyadic interval such that and
[TABLE]
As before, we may assume that is equal to its set of Lebesgue points. Let
[TABLE]
If , define and for , and let
[TABLE]
If , define and for . For , let
[TABLE]
where .
Admittedly, the subscripts have become awkward. However, all we have done is repeated Step 2, replacing and by and , respectively, and projecting onto the -axis instead of the -axis. We note that
[TABLE]
Lemma 3.7**.**
For every and , the set is contained in a union of boxes of the form , with , and satisfies .
Proof of Lemma 3.7.
Let be an integer such that . Imitating the proof of Lemma 3.4, we can show that is covered by boxes of the form , where . Since has -fibers of length and volume at most , it follows that . Thus, is covered by boxes , with . Since and , Lemma 3.4 now implies that is covered by boxes , with .
To obtain the restriction estimate, we can adapt the proof of Lemma 3.4. ∎
Finally, we are equipped to finish the proof of Proposition 3.1. We have
[TABLE]
where
[TABLE]
Since for fixed there are sets , properties (i) and (ii) in the proposition follow from Lemma 3.7.
∎
4. Extensions of near unions of boxes
For each , let be an integer such that . For each dyadic number , let denote the collection of all integers for which . For each , Proposition 3.1 gives a decomposition such that for each , we have for some with .
Lemma 4.1**.**
For every , we have
[TABLE]
Proof of Lemma 4.1.
Let be an admissible constant to be chosen later, and divide into subsets such that each is -separated. It suffices to prove that
[TABLE]
for each . Since , we have
[TABLE]
where . To control the latter sum, we have the following lemma.
Lemma 4.2**.**
For all , we have
[TABLE]
for some admissible constant .
Proof of Lemma 4.2.
By the Cauchy–Schwarz inequality and Proposition 2.2,
[TABLE]
For and , we have
[TABLE]
whenever either (i) , (ii) , (iii) and , or (iv) and ; in these cases, (4.2) follows immediately.
Thus, by symmetry, it suffices to prove (4.2) for and . By the bound and the separation condition on (with sufficiently large), it suffices to prove that
[TABLE]
for all , , and some admissible constant .
Fix two such tiles , and note that must be taller than and wider than . By translation, we may assume that the - and -axes intersect the centers of and , respectively. Define
[TABLE]
so that
[TABLE]
By the two-parameter Littlewood–Paley square function estimate and fact that , we have
[TABLE]
where and . We first sum the terms with . By the Cauchy–Schwarz inequality and Proposition 2.2, we have
[TABLE]
Since has width , there are at most two nonempty with . This fact and the bound
[TABLE]
imply that . Since , , and , we altogether have
[TABLE]
which is acceptable. A similar argument shows that
[TABLE]
We now consider the terms with and . In this case, is a subset of four tiles in and is a subset of four tiles in . Moreover, these tiles are separated by a distance of and in the vertical and horizontal directions, respectively. Thus, by Theorem 1.2 (rescaled, as in the proof of Proposition 2.2),
[TABLE]
Using (4.5) and the analogous bound for , we now get
[TABLE]
By the relations , and (4), we have now proved (4.3). ∎
Returning to the proof of Lemma 4.1, we consider the second sum in (4). Given , let be a permutation of such that is maximal among , , and such that for all . Then by the Cauchy–Schwarz inequality, Lemma 4.2, the separation condition on , the fact that , and choosing sufficiently large, we get
[TABLE]
∎
5. Proof of Theorem 1.1
In this final section, we prove our main result. We recall our setup: For a measurable set, we have divided into sets of constant fiber length , partitioned the indices into sets according to the value of , and decomposed each into near unions of boxes for . Thus,
[TABLE]
(Actually, there may be such that ; however, those terms contribute nothing to the left-hand side below.)
Proof of Theorem 1.1.
By the triangle inequality, Lemma 4.1, Proposition 3.1, and the fact that , we have
[TABLE]
proving (1.1). ∎
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A. Greenleaf, Principal curvature and harmonic analysis , Indiana Univ. Math. J., 30 (1981), no. 4, 519–537.
- 2[2] S. Lee, Bilinear restriction estimates for surfaces with curvatures of different signs , Trans. Amer. Math. Soc., 358 (2006), no. 8, 3511–3533.
- 3[3] F. Nicola, Slicing surfaces and the Fourier restriction conjecture , Proc. Edinb. Math. Soc. (2), 52 (2009), no. 2, 515–527.
- 4[4] B. Stovall, Scale-invariant Fourier restriction to a hyperbolic surface , Anal. PDE, 12 (2019), no. 5, 1215–1224.
- 5[5] A. Vargas, Restriction theorems for a surface with negative curvature , Math. Z., 249 (2005), no. 1, 97–111.
- 6[6] T. Tao, A. Vargas, L. Vega, A bilinear approach to the restriction and Kakeya conjectures , J. Amer. Math. Soc., 11 (1998), no. 4, 967–1000.
- 7[7] T. Wolff, A sharp bilinear cone restriction estimate , Ann. of Math. (2), 153 (2001), no. 3, 661–698.
