Maximal estimates for Bilinear Bochner-Riesz means
Abstract.
We establish improved and sharp estimates for the maximal bilinear Bochner-Riesz means in all dimensions . This work extends the results proved by Jeong and Lee [11]. We also recover the known results for the bilinear Bochner-Riesz means. The method of proof involves a new decomposition of the bilinear Bochner-Riesz multiplier and delicate analysis in proving estimates for frequency localized square functions.
Key words and phrases:
Bilinear Bochner-Riesz means, Square function, Bochner Riesz means2010 Mathematics Subject Classification:
Primary 42A85, 42B15, Secondary 42B251. Introduction
The convergence of the partial sum operators corresponding to two fold product of dimensional Fourier series
to as is a classical problem in Fourier analysis. Here and are periodic functions with respect to each variable belonging to Lebesgue spaces and respectively, where .
This motivates us to consider the following more general partial sum operators
(1) |
The partial sum operators are referred to as the bilinear Bochner-Riesz means of order .
The transference principle for bilinear multipliers establishes that the study of boundedness of the bilinear Bochner-Riesz means is equivalent to studying the corresponding estimates for the bilinear Bochner-Riesz operator of index defined on by
where and denotes the Fourier transform of given by . When , we simply use the notation .
In this paper we are interested in investigating the a.e. convergence of as for in for . In view of the general principle due to Stein we know that in order to study the a.e. convergence of it is enough to prove suitable estimates for the corresponding maximal function
More precisely, for we are concerned with the following estimates
(2) |
Also, the corresponding estimate for the bilinear Bochner-Riesz mean
(3) |
Here we shall always assume that the exponents satisfy and . The notation in the estimates above means that there is an implicit constant such that The constant may depend on and We will not keep track of such constants appearing in various inequalities unless we need them in order for the proof to work. In some inequalities in the later part of paper we shall also use the notation to emphasize the dependence of the implicit constant on the parameters and .
If the estimate (2) (or (3)) holds we say that the operator (or ) is bounded from . Observe that the standard dilation arguments tell us that if, and only if where and .
The question of boundedness for the operators and is referred to as the bilinear Bochner-Riesz probem in general. This is one of the outstanding open problems in the theory of bilinear Fourier multipliers. In this paper we make significant progress on the bilinear Bochner-Riesz problem for . We establish new and sharp results for the maximal function .
Note that the operator takes the following form in the spatial coordinates.
where
Here denotes the standard Bessel function of order .
Using the asymptotic estimates of Bessel functions it is easily verified that for , the kernel is an integrable function with a uniform constant with respect to . Consequently, the estimates (2) and (3) follow for all and , see [1, 13] for detail. The index is referred to as the critical index for the bilinear Bochner-Riesz problem. Therefore, the bilinear Bochner-Riesz problem concerning estimates (2) and (3) needs to be investigated when .
When , the operator is denoted by and it is referred to as the bilinear ball multiplier operator. In [8] Grafakos and Li proved the estimate (3) in dimension when and satisfying the Hölder relation Here denotes the conjugate index to given by . As mentioned previously in this paper we shall always assume that the exponents and satisfy the Hölder relation unless specified otherwise. We will denote such a triplet by . In [8] authors also proved that fails to satisfy (3) for triplets and when . We do not know of any positive result for the bilinear ball multiplier in dimension for exponents lying outside the range mentioned as above. Later, Diestel and Grafakos [4] proved a negative result for boundedness of the operator when . They exploited Fefferman’s argument for the ball multiplier problem [6] to show that in dimension the estimate (3) cannot hold true for if exactly one of is less than
The study of boundedness properties of the operator for was initiated in [1] and they proved several positive and negative results for the boundedness of the bilinear Bochner-Riesz means. In particular, they obtained almost complete result in dimension proving that (3) holds for for all , see Theorem 4.1 in [1] for detail. This range of exponents is referred to as the Banach triangle in the theory of bilinear multipliers. Observe that the exponent has its natural range as when we allow and in the range Later, in [18] authors extended these results, specifically in the non-Banach traingle (i.e. when ) to an improved range of and .
Recently, Jeong, Lee, and Vargas [12] further improved the range of exponents when for the estimate (3). They introduced a new approach to address the bilinear Bochner-Riesz problem in dimension . Their approach relies on a new decompostion of the bilinear Bochner-Riesz operator into a product of square functions in the pointwise sense. This allows them to obtain new results for the estimate (3) when and , see [Section 3, [12]] for detail. In particular, in [12] authors obtained new results by improving the lower bounds on the index . They proved optimal result for the estimate (3) when and for all , see Corollary 1.3 in [12] (also see Proposition 4.10 in [1]). However, the results in other cases are not optimal. We would like to remark here that their method requires the condition that . We will see that with our approach we can recover these results. Moreover, our method allows us to obtain estimates for when the exponents are less than . In particular, the estimate (3) for exponents in non-Banach triangle are new in dimension , see Theorem 2.2. However, for we do not get improved results for the estimate (3) when as compared to already known results in [1, 18].
Now, coming back to the main theme of the paper let us discuss the known results for the bilinear Bochner-Riesz maximal function concerning the estimate (2). The study of boundedness properties of has been initiated in [9, 10]. In [9] authors proved boundedness of maximal bilinear multiplier operator with a certain decay condition on the multiplier symbol. As an application of their result they proved estimate (2) for and . Note that this result is interesting only if is smaller or equal to the critical index . Very recently, Jeong and Lee [11] have obtained improved results in this direction generalizing the previously known results significantly. In order to prove estimates in [11] authors have exploited the decomposition of the bilinear Bochner-Riesz operators into square functions as carried out in [12]. In particular, they proved that the estimate (2) holds for for . Note that the condition is far from being sharp.
In this paper our main goal is to improve the range of and in the maximal estimate (2). We establish a new decomposition of the bilinear Bochner-Riesz operators in terms of product of square functions which are closely related with the classical Bochner-Riesz square functions (see section 3 for precise detail). As a result, for each piece of the decomposition parametrised by , the corresponding bilinear operator can be written as superposition of product of localised linear operators and . For more details please refer to (10). The operator turns out to be a slight perturbation of the localised Bochner Riesz operator. A further careful analysis allows us to reduce the boundedness of the corresponding square function to the known case of the localised square function of Bochner Riesz operator as defined in [15]. This allows us to improve the result of E. Jeong and S. Lee [11] for the boundedness of maximal Bilinear Bochner Riesz function. See (18) and equation in Proposition in [11] for comparision.
This approach allows us to establish new and sharp results for the estimates (2) and (3) with an improved range of exponents and lower bound on . Moreover, it is valid uniformly in all dimensions . In particular, we obtain optimal results for when , see Theorems 2.1 and 2.2. We remark that the maximal estimate (2) in dimension is not known. Our approach allows us to address this case and we obtain new and sharp results for the maximal estimate (2) in dimension , see Theorem 2.2.
Organization of the paper
In Section 2 we state the main results and discuss the methodology of our proofs. In this section we also make a comparision of our results with the known results. In Section 3 we present the proof of decomposition of bilinear Bochner-Riesz operator. In Section 4 we develop a discussion about Bochner-Riesz square function and some of the results stated in this section will be used in proving the main results of this paper. Section 5 is devoted to proving Theorem 2.1 concerning the boundedness of the bilinear Bochner-Riesz maximal function in dimension . Finally, in Section 6 we present the proof of Theorem 2.2 which addresses the boundedness of the bilinear Bochner-Riesz maximal function in dimension .
2. Main results and methodology
We first set some notation that are required in order to describe our results. For and denote . Note that for we have for all . For define where . Denote For and we define
The following theorems concerning the boundedness of the bilinear Bochner-Riesz maximal function are the main results of this paper. We state the results for and separately.
Theorem 2.1.
(The case of ) Let and be a triplet of exponents satisfying and Then for the estimate (2) holds with the implicit constant depending only on and .
Theorem 2.2.
(The case of .) Let and . Let and . Then the estimate (2) holds for each of the following cases.
-
(1)
and .
-
(2)
and .
-
(3)
and .
-
(4)
and .
Remark 2.3.
.
2.1. Methodology of proof and comparision
We decompose the bilinear multiplier along the and axes. Note that due to symmetry of the multiplier symbol in and , we need to perform only one of the two decompositions as the other case can be dealt with in a similar fashion. This idea is motivated from the observation that the standard decomposition of the bilinear multipliers into smooth symbols supported in thin annular regions near the singularity requires further decomposition of the smooth symbols into frequency localized multiplier operators using the idea of Littlewood-Paley decompositions. The standard Littlewood-Paley decomposition of these smooth bilinear multipliers poses difficulty when we try to prove estimates for frequency localised operators with supports along the coordinate axes. Due to the curvature of the sphere these Littlewood-Paley Fourier projections overlap along the coordinate axes and it becomes difficult to have a good control on the operators arising in this process. Therefore, in order to overcome this difficulty we decompose the bilinear multiplier into smooth functions supported in annular regions with respect to variables and separately. This approach along with an identity (6) from [21] [page 278] yields a very useful decomposition of the bilinear Bochner-Riesz multiplier into a product of frequency localized Bochner-Riesz square functions, see estimate (10) for precise detail. This approach has a big advantage in obtaining estimates for the bilinear Bochner-Riesz means and its maximal function. When this approach allows us to improve the known range of significantly for which the estimate (2) holds. For example, Jeong and Lee [[11], Theorem 1.2] has the lower bound on as when or whereas with our approach we reduce the lower bound to . See Figure 1 for a comparision. The region shaded with dark gray color in the figure above represents the range of versus the index for the of the maximal function from [11]. We extend the estimate to the region shaded with light gray color. In the process, we obtain optimal results for boundedness of bilinear Bochner-Riesz maximal function when .
When we get estimates for the bilinear Bochner-Riesz maximal function for a wide range of exponents including the cases when or is less than . Indeed our results for exponents outside the Banach triangle (i.e. ) are new even in the case of bilinear Bochner-Riesz operator. Finally, we would like to emphasise that our method is applicable uniformly to all dimensions and provides us with simplified proofs of the existing results. We would like to remark here that this method works best when . When either of and is less than , we need a different approach in order to improve the range of for the boundedness of Bilinear Bochner Riesz operator and its associated maximal function.


3. Decomposition of the bilinear Bochner-Riesz multiplier
Let and be a compact interval of . Define . Consider the partition of unity for the interval i.e., for consider
where and
Let . Then .
Setting in the above we get that
where
and
With the decomposition of the symbols as above we can write
where
(4) |
First, we deal with the bilinear operator . We further decompose the multiplier as
where
Therefore we have
(5) |
where .
Let us denote Now using an identity from Stein and Weiss [[21], page 278] we have the following relation.
(6) |
where , and
Substituting this in the expression of we get that
(7) | |||||
where .
Notice that in the equation above due to the support of the function the upper limit of in the integral is . Define
(8) |
and
(9) |
This yields the following decompostion of the bilinear operator associated with the symbol .
(10) | |||||
where .
We will show that the decomposition of the operator as above yields new estimates for the bilinear Bochner-Riesz maximal function. Before going into the proofs of our main results we discuss some useful results concerning the Bochner-Riesz square function.
4. A brief discussion on the Bochner-Riesz Square function
The Bochner-Riesz square function is defined by
where and
The square function was introduced by Stein [20]. The boundedness
(11) |
of the square function have been studied extensively in the literature. It has various applications, in particular, it plays an improtant role in the study of maximal Bochner-Riesz functions. We refer the reader to [20, 22, 23, 2, 3, 19, 17, 16, 15] and references there in for details.
Due to the derivative with respect to the operator essentially behaves like the Bochner-Riesz operator of order . The Plancherel theorem immediately yields that is bounded on provided , see [20]. It is conjectured that for , the estimate (11) holds if, and only if Whereas for the range the behaviour of is different and it is conjectured that for , the estimate (11) holds if, and only if
The conjecture for the range has been resolved. We know that the estimate (11) holds if, and only if for and , see [22, 23, 17] for detail. Further, in dimensions , the conjecture has been proved to hold for the range , see [23] and [2] for the case of and respectively. When and the sufficient part of the conjecture is not known completely. There are many interesting developments on the conjecture and we refer to [3, 19, 17, 16, 15] for more detail. The most recent develpoment in this direction is due to Lee [15], where he proved the following result.
The estimates for the square function mentioned as above will be used in order to prove our results. Indeed, we shall need boundedness of certain local variants of the square function. We consider the following setting.
For and define
Also, for and consider the operator
Jeong, Lee and Vargas [Lemma [12]] proved that for any , there exists such that for the following holds
(12) |
when .
We need the following version of the result stated above.
Lemma 4.2.
Let and . Then for and there exists such that for all the following holds
(13) |
where the implicit constant depends on and .
In Lemma 4.2 we can take the same value of as in Lemma in [12]. The proof of the lemma above may be completed using Lemma in [12] with minor modifications. We present the proof here for an easy reference and completeness.
Proof.
Note that when the inequality (13) is a consequence of Plancherel theorem.
Next, let where is fixed such that . First, consider the operator .
When we know that by a standard Littlewood Paley decomposition, it is enough to prove the inequality (13) for . Consider
where .
It is easy to verify that belongs to . Using Minkowski’s integral inequality and triangle inequality in the identity above, we get that
From (12) we know that for all the following holds.
Therefore, we get that
for .
The standard interpolation argument between and yields that the inequality as above holds for .
Further, it is easy to verify that . Note that for a fixed we can choose small enough so that . This completes the proof of the inequality (13). ∎
Next, we consider the maximal function associated with the frequency localised Bochner-Riesz operators. The square function estimate proved in Lemma 4.2 gives us the following estimate
(14) |
for and
Note that if is such that for some , then from (14) we get that
(15) |
holds for the same range of as in (14).
Let be a smooth function supported on a compact interval such that for some . In what follows we shall use the statement that and behave similarly. This would mean that the corresponding square function and the maximal function for the operator defined above are bounded for the same range of as that of with the same constants except for an extra factor of .
Next, we make use of a technique from [[21], page 277-278] to derive the boundedness of the operator . This idea gives us the following estimate.
Lemma 4.3.
The operator
is bounded on for and where .
Proof.
The case of is easy as usual. When we write
where is chosen so that .
This implies that
Since the convolution kernel of is an integrable function and consequently , where is the Hardy-Littlewood Maximal function. Therefore is bounded on .
5. Proof of Theorem 2.1: Boundedness of bilinear Bochner-Riesz maximal function
This section is devoted to proving Theorem 2.1. We shall prove the estimates for or and the remaining cases in Theorem 2.1 will be obtained by interpolation arguments.
Recall that from section 3 we have the following decomposition of the bilinear Bochner-Riesz operator .
In order to prove Theorem 2.1 it is enough to prove the desired estimates for the bilinear maximal functions
We will deal with both the maximal functions separately. Let us first consider the case of .
5.1. Boundedness of the bilinear maximal function
Recall that from section 3 we have the following decomposition
where . Therefore, it is enough to consider the maximal function
Applying Cauchy Schwartz inequality we get that
Making a change of variable in the integral we get that
where
Finally, we get that
We have the following result for the maximal function involving the operator in the inequality above.
Theorem 5.1.
Let For or and the following estimate holds
(17) |
We postpone the proof of Theorem 5.1 to the next subsection. Assuming Theorem 5.1 we complete the estimate for the maximal function .
5.2. Proof of Theorem 5.1
We set in for convenience.
Note that when we can rewrite the function
Moreover, in this range of the multiplier has no singularity. Indeed it behaves like times a smooth function supported in the annulus of width of the order .
With this observation in mind, we split the interval , the range of for the multiplier , into two subintervals and and deal with the corresponding operators separately. Here we have taken to be a fixed number.
Case I: When
For and or , we have
(20) |
We first consider the range Set , where . By Taylor’s expansion we can write
(21) |
Observe that the series above converges as Therefore, using (21) we get that
(22) |
Denote . Observe that and it satisfies the estimate
for . Therefore, the corresponding maximal function is bounded on with an additional factor of , see the estimate (15) for detail. More precisely, we get that
where or .
Using the Minkowski’s integral inequality and the fact that we have
By the asymptotic formula of Gamma function we know that and hence the series in the expression above converges. This gives us the desired estimate.
Note that when we prove the desired estimates for to be non-negative integers. For we know that
is bounded on with the operator norm bounded by a constant multiple of for or (see [14] for detail). Therefore, we get that
Note that the term occurs because of integration in the variable .
Next, when we write
(23) |
Since the function behaves like , the identity as above gives us that
Using the identity above along with the estimate (15) we get that
When , we write for .
We can write
where and
The boundedness of the square function corresponding to term is dealt with in a similar way as in the case of as above. Further, note that behaves in a similar manner as . Therefore the corresponding inequality (20) can be proved as in the case of . When or for , (20) follows in the exact same manner as in the case . We write split the multiplier using binomial expansion of as in (23) and get the desired estimate (20) as done for . When , we write and follow the same procedure as in the case when above.
Case II: When
Note that in this case We rewrite
Making a change of variable in we get the following operator
where and .
Therefore, we need to establish boundedness of the following square function
where and
Note that we can ignore the term inside the integral as . Let be a large number. We shall deal with the cases and separately.
Proposition 5.2.
For and we have the following estimate
when or and .
Proposition 5.3.
When and or and
for all .
Proof of Proposition 5.2
We perform suitable decomposition of the multiplier
and reduce our problem to already known forms of the square functions.
For convenience, we set in the multiplier above and write
(24) |
where and . Using the above decomposition (24) we get
(25) | |||||
Let be such that . Note that whenever i.e. when For we have . Therefore, if , the product of terms corresponding to and in (25)vanishes. This tells us that in the decomposition (25) we need to consider only those terms for which .
Next, we decompose the annular region which is nothing but the support of , into annuli of smaller width such that the function , when restricted to each of these annuli, behaves like a constant.
Let be such that on Let For we can rewrite the sum above as on
We restrict this identity to the interval , i.e., we consider Using suitable translation and dilation of the function we can get the same identity on the interval , i.e., we have
where and
Let for and note that
Putting in the sum above and multiplying by on both sides, we have the following decomposition
Taking the one dimensional Fourier transform of we have
We rewrite the exponential term in the integral above in the following way
Note that is uniformly bounded for all and . Denote
Using Taylor’s series expansion we get
where is the remainder term.
For the remainder term satisfies
(26) |
Let us write . Using the expansion and notation as above we get that
where .
Observe that the condition on and the fact that is uniformly bounded in and imply that
where is independent of and .
Define
(27) |
(28) |
The decomposition of the symbol corresponding to the operator (replace by ) as carried out in the discussion above gives us that
Therefore, in order to prove Proposition 5.2 we need to deal with the operators and . We first consider the operator with and note that the terms with can be dealt with similarly as the function behaves in the same way for all . Also, is a smooth function supported in and it satisfies .
In order to prove the required estimates we need to perform another decomposition for the operator . We decompose it into operators whose multipliers are supported in smaller annular regions of width approximately . This process leaves a remainder term which can be dealt with easily.
As previously, we work with and then replace by . We perform a similar decomposition to the function into smooth functions having their supports in the annulus , where
Consider and write
Next we write and use Taylor’s series expansion of to get that
Recall that here and .
Consider the following operators
Finally, replace by in the decomposition of as above to get that
(30) |
where
It is easy to see that
where is independent of , and .
Now we have the following estimate for the operator .
Lemma 5.4.
Let and be as in Proposition 5.2. Then the following estimate holds.
Proof.
Recall that
Denote . Note that for fixed and , has a uniform lower and upper bound in and for all . Since We can rewrite
where .
Next, we have the following estimate for the operator .
Lemma 5.5.
For , the following holds.
Proof.
Recall the definition of and observe that it is enough to prove that
(31) |
for all .
Let and define
(32) |
We also define . Note that . Here denotes the inverse Fourier transform of the function .
From the estimates on in (26), it is easy to see that for all In particular, when , we have
We know that is non-zero for and . This gives us the desired estimate for when .
Note that the function is supported in a cube of sidelength at most for all , and
An integration by parts argument implies that
(33) |
holds uniformly in . The estimate above yields the pointwise estimate
Choosing large enough we get the desired estimate. ∎
Combining the results from Lemmata 5.4 and 5.5 and putting them in (30) we get that
(34) |
for the same range of as in Lemma 5.4.
Now we deal with the remaining part in (5) which is given by
Recall from (28) that
Fix and decompose into a sum of smooth functions supported in an annulus of width of the order and a remainder term. This is similar to the previous case. We get that
(35) | |||
where and
(36) |
for
It is not difficult to see that the maximal function (with respect to ) associated with can be dealt with in a similar manner as we did for the maximal function in Lemma 5.5. Moreover, the bound is independent of and and grows at most like in .
Define and consider
(37) |
where
For , we have the following estimate for
Proof of Proposition 5.3
For a fixed let us first consider
After applying the change of variable the quantity above can be dominated by the following square function
Since is a compactly supported smooth function. An integration by parts argument tells us that the norm of it’s inverse Fourier transform is bounded by . Therefore, we get the pointwise estimate. and consequently we have that
Invoking the vector valued boundedness of the Hardy-Littlewood Maximal function, see [5] for detail, the right hand side quantity in the inequality above is bounded on for all This yields
We can also deduce the above vector valued inequality for the Hardy Lttlewood Maximal function from the result of Feffereman and Stein [7] as here we are dealing with a separable Hilbert space valued functions and any separable Hilbert space is isomorphic to . The quantity on the right side in the inequality above is nothing but the square function for the Bochner-Riesz means, which it is bounded on for and or
Next, we consider the maximal function
Again a change of variable in the above gives
Since a.e. we get that
where is the kernel associated with the operator and hence the boundedness of follows for as is large enough to guarantee that is dominated by the Hardy-Littlewood maximal function in a pointwise a.e. sense. ∎
5.3. Boundedness of the maximal function
In this subsection we prove the boundedness of the maximal function In particular, we show that for and , the following holds
(39) |
where or for and .
We decompose the multiplier using the partition of identity in the variable. This is same as we did earlier in the variable. We get that
We further split such that support of is contained in the interval and support of is contained in the interval . This gives us the follwoing decomposition of
(40) |
Note that is a smooth function supported in a ball of radius . Therefore, it can be easily proved that the maximal function
(41) |
is bounded from for all .
Next, we deal with the maximal functions corresponding to the remaining terms in the decomposition (5.3).
Let be a large number such that for all , the support of is contained in where belongs to the support of the function We know that when Consider the operator
where
The boundedness of the maximal function can be obtained in a similar fashion as in the previous section for the maximal function Therefore, we get that is bounded from when and or for .
Now it remains to prove the desired estimate for the terms corresponding to . We consider
Let be the bilinear operator corresponding to the multiplier . i.e.,
Note that for each fixed it is enough to deal with the operator associated with the multipiler
This is precisely the situation in section 3 when we decompose the bilinear Bochner-Riesz multiplier. We perform the same decomposition to the multiplier as we did in (6) with the roles of and interchanged. This gives us an expression similar to (10) with the roles of and interchanged and an extra multiplier term with . Define
(42) |
Observe that it is enough to prove that the maximal function is bounded on for and or The term corresponding to the function can be dealt with by using the similar method as we did to prove estimate (20) and Proposition 5.3. Again following the same technique as in Lemma 4.3, we get the following estimate
where is such that .
Moreover, we proceed as in Proposition 5.3 to get that the maximal function
is bounded on for and or . We skip the details here to avoid a repetition.
Let us now consider the term corresponding to the multiplier
Indeed, using (6) with the roles of and interchanged, we get that
where and .
This part is handled using the same strategy as in section 5. After applying the Cauchy Schwartz inequality and making a change of variable in the integral involving the function our job is reduced to proving the boundedness of the operator
where .
The term with the function is dealt with in a similar way as in the previous case. Note that is similar to with the term on the Fourier transform side in place of in . Since the function is compactly supported and smooth with its support lying away from the origin, we can use arguments similar to the ones used in proving the estimate (20) and Proposition 5.3 to deduce that the maximal function
is bounded on for and or .
Combining the estimates together we get the desired result for the maximal function ∎
6. Proof of Theorem 2.2: The case of dimension
In this section we address the boundedness of the maximal function in dimension .
Recall that in view of the decomposition of the Bochner-Riesz operator given in section 3, it is enough to establish the desired estimates for the square functions in the following inequality.
where .
Invoking the boundedness of the square function for Bochner Riesz operator in dimension (see [23] Theorem B, page 361) and using the techniques of Lemma 4.3, it is easy to verify that the estimate
(43) |
holds for when and for when .
Next, we have the following result for the other square function.
Theorem 6.1.
The inequality
(44) |
holds where , for and for .
Note that the choice of in (43) implies that for all .
The following lemma provides us with an important kernel estimate in dimension . This estimate is used in the proof of Theorem 6.1.
Lemma 6.2.
Let and . Then for all the following estimate holds
where .
Remark 6.3.
We believe that the estimate in the lemma above should be known in the existing literature. However, we could not find it. Therefore, we have decided to present its proof here for the sake of completeness.
Proof.
Let be large enough so that . Let be an even smooth function supported in and identically one in . We can write
Observe that it is enough to show that satisfies the desired estimate.
We perform change of variable to the expression above and then one more time change variable to get that
Observe that is a smooth function supported in . Now we see that the function is of compact support with its support lying inside a set independent of . We use an integration by parts argument to prove our claim.
We already know that support of is . Let us look at the function . It defines a parabola with its zeros at and . One can show that is the point where it attains its maximum and between to it is a strictly increasing function.
Further note that and for all . Therefore . Hence the support of is a subset of for all .
For , consider
Notice that the term
is bounded by a uniform constant with respect to .
Similarly, the integration by parts argument applied to each of the integrals above gives us that
This completes the proof. ∎
Proof of Theorem 6.1: We shall skip detail in the proof and point out only the key steps as the proof uses the same strategy as in the previous sections.
Recall that
It is easy to verify that the kernel estimate from Lemma 6.2 implies that
(45) |
holds for all and .
Fix and consider the case when . In this case we proceed the same way as in Case 1 of Theorem 5.1. Using the estimate (45) we get that
holds for all .
Next, for , we use the estimate (45) again and follow the idea of Proposition 5.3 to deduce the following estimate
for all if and if .
∎
Acknowledgement
The second author acknowledges the financial support by Science and Engineering Research Board (SERB), Government of India, under the grant MATRICS: MTR/2017/000039/Math.
References
- [1] F. Bernicot; L. Grafakos; L. Song and L. Yan, The bilinear Bochner-Riesz problem, J. Anal. Math. 127 (2015), 179–217.
- [2] A. Carbery, The boundedness of the maximal Bochner-Riesz operator on Duke Math. J. 50:2 (1983), 409–416.
- [3] M. Christ, On almost everywhere convergence of Bochner-Riesz means in higher dimensions, Proc. Amer. Math. Soc. 96: 1 (1985), 16–20.
- [4] G. Diestel; L. Grafakos, Unboundedness of the ball bilinear multiplier operator, Nagoya Math. J. 185 (2007), no. 4, 583–584.
- [5] L. Deleaval; C. Kriegler, Dimension free bounds for the vectorvalued Hardy-Littlewood Maximal operator Revista Matematica Iberoamericana, Vol 35, Issue 1, 2019 101-123.
- [6] C. Fefferman, The multiplier problem for the ball. Ann. of Math. (2) 94 (1971), 330–336.
- [7] C. Fefferman; E. M. Stein, Some maximal inequalities, American J. Math 93 (1971), 107-115.
- [8] L. Grafakos; X. Li, The disc as a bilinear multiplier, Amer. J.Math. 128 (2006), no. 1, 91–119.
- [9] L. Grafakos; D. He; P. Honźik, Maximal operators associated with bilinear multipiers of limited decay, arXiv:1804.08537 (to appear in J. Anal. Math.)
- [10] D. He, On bilinear maximal Bochner-Riesz operators, arXiv:1607.03527.
- [11] E. Jeong; S. Lee, Maximal estimates for the bilinear spherical averages and the bilinear Bochner-Riesz operators, (to appear in Journal of Functional Analysis)
- [12] E. Jeong; S. Lee; A. Vergas, Improved bound for the bilinear Bochner-Riesz operator, Math. Ann. 372 (2018), no. 1-2, 581–609.
- [13] K. Jotsaroop; S. Shrivastava; K. Shuin, Weighted estimates for bilinear Bochner-Riesz means at the critical index, arXiv:2007.09415v1 (to appear in Poten. Anal.)
- [14] S. Lee, Improved bounds for Bochner-Riesz and maximal Bochner-Riesz operators, Duke Math. J. 122:1 (2004), 205–232.
- [15] S. Lee, Square function estimates for the Bochner-Riesz means. Anal. PDE 11 (2018), no. 6, 1535–1586.
- [16] S. Lee; K. M. Rogers; and A. Seeger, Square functions and maximal operators associated with radial Fourier multipliers, pp. 273–302 in Advances in analysis: the legacy of Elias M. Stein, edited by C. Fefferman et al., Princeton Math. Ser. 50, Princeton Univ. Press, 2014.
- [17] S. Lee; K. M. Rogers; A. Seeger, Improved bounds for Stein’s square functions, Proc. London Math. Soc. (3) 104 (2012) 1198-1234.
- [18] H. Liu; M. Wang Boundedness of the bilinear Bochner-Riesz means in the non-Banach triangle case, Proc. Amer. Math. Soc. 148 (2020), 1121–1130.
- [19] A. Seeger, On quasiradial Fourier multipliers and their maximal functions, J. Reine Angew. Math. 370 (1986), 61–73.
- [20] E. M. Stein, Localization and summability of multiplie Fourier series, Acta Math. 100 (1958), 93–147.
- [21] E. M Stein; G. Weiss, Introduction to Fourier Analysis on Euclidean spaces, Princeton University Press 1990.
- [22] G. Sunouchi, On the Littlewood-Paley function of multiple Fourier integrals and Hankel multiplier transformations, Tohoku Math. J. (2) 19 (1967), 496–511.
- [23] M. Kaneko; G. Sunouchi, On the Littlewood Paley and Marcinkiewicz functions in higher dimensions, Tohoku Math. J. (37) 1985, 343–365.