Focusing nonlinear Hartree equation with inverse-square potential
Yu Chen, Jing Lu, Fanfei Meng

TL;DR
This paper studies the scattering behavior of radial solutions to a focusing nonlinear Hartree equation with inverse-square potential, addressing challenges from non-translation invariance and non-local nonlinearity.
Contribution
It develops a scattering theory for the focusing Hartree equation with inverse-square potential, overcoming difficulties from non-locality and lack of translation invariance.
Findings
Established scattering results for radial solutions in energy space
Overcame weak dispersive estimates when potential parameter is negative
Utilized virial-Morawetz estimates to control mass concentration
Abstract
In this paper, we consider the scattering theory of the radial solution to focusing energy-subcritical Hartree equation with inverse-square potential in the energy space using the method from \cite{Dodson2016}. The main difficulties are the equation is \emph{not} space-translation invariant and the nonlinearity is non-local. Using the radial Sobolev embedding and a virial-Morawetz type estimate we can exclude the concentration of mass near the origin. Besides, we can overcome the weak dispersive estimate when , using the dispersive estimate established by \cite{zheng}.
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Taxonomy
TopicsAdvanced Mathematical Physics Problems · Spectral Theory in Mathematical Physics · Numerical methods in inverse problems
Focusing nonlinear Hartree equation with inverse-square potential
Yu Chen
Graduate School of China Academy Of Engineering Physics, Beijing, China, 100089,
,
Jing Lu
College of Science, China Agricultural University, Beijing, China, 100193,
and
Fanfei Meng
Graduate School of China Academy of Engineering Physics, Beijing, China, 100089,
Abstract.
In this paper, we consider the scattering theory of the radial solution to focusing energy-subcritical Hartree equation with inverse-square potential in the energy space using the method from [4]. The main difficulties are the equation is not space-translation invariant and the nonlinearity is non-local. Using the radial Sobolev embedding and a virial-Morawetz type estimate we can exclude the concentration of mass near the origin. Besides, we can overcome the weak dispersive estimate when , using the dispersive estimate established by [23].
Key words and phrases:
Hartree equation, inverse-square potential, scatter, Morawetz estimate.
2000 Mathematics Subject Classification:
Primary 35Q55; Secondary 47J35
1. Introduction
We consider the energy-subscritical Hartree equation with inverse-square potential:
[TABLE]
where , , , and denotes the convolution in .
Solutions to () conserve the mass and energy, defined respectively by
[TABLE]
where
[TABLE]
Note that, if , then () reduces to the standard nonlinear Hartree equation:
[TABLE]
where is called focusing case, and is called defocusing.
Similar as (), the equation () enjoys the scaling symmetry
[TABLE]
This symmetry identifies as the scaling-critical space of initial data, where . The case we consider is the energy-subcritical problem, which corresponds to .
As we know, a large amount of work has been devoted to the study of the scattering theory about the dispersive equations. The scattering theory for the equation () with has been studied in [17, 6, 16, 20]. Concerning the energy-subcritical case , using the method of Morawetz and Strauss [18], J. Ginibre and G. Velo [6] developed the scattering theory in the energy space. Nakanishi [20] improved the results by a new Morawetz estimate which doesn’t depend on nonlinearity. In [17], C. Miao, G. Xu and L. Zhao obtained the small data scattering result for the energy-critical case in the energy space. For the defocusing case : C. Miao, G. Xu and L. Zhao [16] took advantage of a new kind of the localized Morawetz estimate, which is also independent of nonlinearity, to rule out the possibility of the energy concentration at origin and established the scattering results in the energy space for the radial data in dimension . For the focusing case , the dynamics of the solution to () will be more complex: In mass-critical case, C. Miao, G. Xu and L. Zhao in [15] have proved the blow-up solution in finite time whose mass equals the mass of ground state must be a pseudo-conformal transformation of the ground state. In energy-critical case, D. Li, C. Miao and X. Zhang in [12] established the scattering theory of the maximal lifespan interval solution whose energy is less than the energy of the ground state.
There are also a lot of results about scattering and blow-up theory for the nonlinear Schrödinger equation with inverse-square potential (NLSa). For the energy-critical case, R. Killip, C. Miao, M. Visan, J. Zhang and J. Zheng in [8] obtained the scattering theory of the solution to (NLSa) with the defocusing case in and focusing case in , using the concentration-compactness argument which is firstly introduced by R. Killip and M. Visan [11]. For the 3D cubic focusing case, R. Killip, J. Murphy, M. Visan and J. Zheng in [10] showed the scattering and blow-up theory of the solution to (NLSa). Soon, J. Lu, C. Miao and J. Murphy in [14] established the scattering theory of the solution in any dimension, with the help of concentration-compactness argument.
The above progress in studying the scattering result of (NLSa) or () is due to the approach based on the concentration compactness argument to provide a linear profile decomposition. Recently, B. Dodson and J. Murphy in [4] used a new idea to simplify the proof of scattering below the ground state for the 3D radial focusing cubic NLS. The idea is that the virial-Morawetz type estimate established by Ogawa-Tsutsumi [7] is directly applicable to arbitrary global solutions below the ground state energy, thanks to its variational characterization. Later, C. Sun, H. Wang, X. Yao, J. Zheng [21] adapted the strategy in [4] to prove the scattering of radial solutions below sharp threshold for certain focusing fractional NLS with cubic nonlinearity. F. Meng [19] give a simple proof about the result in [5], using the strategy in [4] that avoids the use of concentration compactness. Recently, J. Zheng in [23] utilized the method in [4] to establish the radial scattering result for the focusing (NLSa) with radial initial data. The new ingredient in [23] is to establish the dispersive estimate for radial functions which will be used to overcome the weak dispersive estimate when in our paper.
Motivated by the aforementioned papers, our aim is to adapt the method in [4] to prove the scattering result of energy-subcritical Hartree equation with inverse-square potential in the energy space .
Our main result in this paper is follows:
Theorem 1.1** (Scattering).**
Assume , and satisfy
[TABLE]
Given be radial and satisfy and , where is the solution to
Then the solution of () is global and scatters in , i.e. there exists such that
[TABLE]
Remark 1.2**.**
The restriction (1.2) comes from the local well-posedness theory Theorem 3.1, where we should verify the equivalence of Sobolev spaces.
Compared with NLS with inverse square potential, our difficulty lies in the fact that Hartree equation has a nonlocal term. The proof of Theorem 1.1 consists of two steps: Firstly, we prove a certain decay estimate which can be deduced from an improved priori Morawetz estimate.
Proposition 1.3** (Improved Morawetz estimate).**
Let be as in Theorem 1.1. For any , there exist such that if is a radial solution to () satisfying
[TABLE]
then
[TABLE]
Secondly, we establish a scattering criterion using the method from [4].
Proposition 1.4** (Scattering criterion).**
Let be as in (1.3), and suppose (1.3) holds. For be as in Theorem 1.3, there exist such that if
[TABLE]
then scatters forward in time.
Combing the two steps, we can easily obtain the desired scattering result.
2. Preliminaries
We mark to mean there exists a constant such that . We indicate dependence on parameters via subscripts, e.g. indicates for some . We write to denote the Banach space with norm
[TABLE]
with the usual modifications when or are equal to infinity, or when the domain is replaced by space-time slab such as . We use to denote and the pair satisfying
[TABLE]
Define that
[TABLE]
2.1. Some useful inequalities
In this subsection, we show some important inequalities which are will be used frequently in the following sections.
Lemma 2.1** (Riesz Rearrangement Inequality, [13]).**
We denote that is the radial non-increase symmetrical rearrangement of the function , that is to say, denote as the rearrangement of . Then we have
[TABLE]
Lemma 2.2** (Radial Sobolev Embedding, [22]).**
Let . For radial function , there holds
[TABLE]
where .
Lemma 2.3** (Hardy-Littlewood-Sobolev Inequality, [13]).**
If , and , we have
[TABLE]
2.2. Harmonic analysis adapted to
In this subsection, we describe some harmonic analysis tools adapted to the operator . The primary reference for this section is [9].
Recall that by the sharp Hardy inequality, one has
[TABLE]
Thus, the operator is positive for . To state the estimates below, it is useful to introduce the parameter
[TABLE]
We give the following result concerning equivalence of Sobolev spaces was established in [9]; it plays an important role throughout this paper.
Theorem 2.4** (Equivalence of Sobolev spaces,[9]).**
Fix , , and . If satisfies , then
[TABLE]
If ,which ensures already that ,then
[TABLE]
Next, we recall some fractional calculus estimates for powers of due to Christ and Weinstein [3].
Lemma 2.5** (Fractional product rule,[3]).**
Fix .Then for all ,there exist depends only on the range of ,then we have
[TABLE]
for any exponents satisfying and .
Strichartz estimates for the propagator were proved in [1]. Combining these with the Christ–Kiselev lemma [2], we arrive at the following:
Theorem 2.6** (Strichartz estimates, [1]).**
Fix , The solution to
[TABLE]
on an interval obeys
[TABLE]
whenever , , and .
Now we show the dispersive estimate which will play a key role in the proof of the scattering criterion.
Theorem 2.7** (Dispersive estimate, [23]).**
Let be a radial function,
- (i)
If , then we have
[TABLE] 2. (ii)
If , then
[TABLE]
In particularly, then we can use the Riesz interpolation inequality to obtain
[TABLE]
if .
3. Local wellposedness
In this section, we state the local well-posedness for ().
Theorem 3.1** (Local well-posedness).**
Assume , , , and satisfy (1.2).
- (1)
Then we have there exist and a unique solution to () with . 2. (2)
Given , then there exists such that obeys
[TABLE]
for some time interval . Then there is a unique strong solution to () on the time interval such that
[TABLE]
where , and . , here
[TABLE]
Proof.
By time-translation symmetry we may choose . The proofs follow along standard lines using the contraction mapping principle; For convenience, all space-time norms in the proof will be taken over . Define the map as
[TABLE]
- (1)
We fix to be determined shortly and define the parameters
[TABLE]
Fix and set . we need to show is a contraction on the space
[TABLE]
which is complete with respect to the metric
[TABLE]
Let . By Sobolev embedding and equivalence of Sobolev spaces,
[TABLE]
where we have used and .
Thus, by Strichartz, Sobolev embedding, and equivalence of Sobolev spaces,
[TABLE]
where we need , and is an admissible pair. Thus , provided is chosen sufficiently large and sufficiently small. Similarly, for ,
[TABLE]
so that is a contraction on , provided is sufficiently small. This completes the proof. 2. (2)
It suffices to prove that is a contraction on the (complete) space
[TABLE]
endowed with the metric
[TABLE]
where and . The constant depends only on the dimension and , which reflects various constants in the Strichartz and Sobolev embedding inequalities.
By the Strichartz inequality, (3.1) and Lemma 2.5, weak young inequality and Hölder inequality, for we have
[TABLE]
where and .
Similarly, for ,
[TABLE]
By and proceeding once more in a parallel manner shows
[TABLE]
To see that is a contraction, we argue analogously:
[TABLE]
If is small enough, we have .
∎
Remark 3.2**.**
In Theorem 3.1 (1), we need
- (1)
, this means 2. (2)
, thus if , then ; if , then 3. (3)
, thus
[TABLE]
this means 4. (4)
is an admissible pair, i. e. . we need
We now choose
[TABLE]
The upper bound and the lower bound on guarantees that is an admissible pair and . The conditions on in (1.2) guarantee that is equivalent to .
In Theorem 3.1 (2),
[TABLE]
and the inverse inequality provided . It can be calculated as follow.
[TABLE]
it means
.
By the definition of , we concluded that where satisfies (3.2).
4. Variational Characterization
In this section, we are in the position to give the variational characterization for the sharp Gargliardo-Nirenberg inequality. Firstly, We will show the existence of the Ground state. As a corollary, we obtain the sharp Gargliardo-Nirenberg inequality. Then we use the properties of the ground state to establish the Coercivity condition which will be used in the proof of Morawetz Estimate (1.4).
Proposition 4.1** (The Existence of Ground State).**
The minimal of the nonnegative funtional
[TABLE]
are attained at a point , whose expression has to be in the form of , where , , and is the non-negative radial solution of the equation
[TABLE]
where and .
If is a non-negative radial solution of the equation (4.1) such that , then is called a Ground state. The sets of all ground states is denotes as . All ground states share the same mass, denoted as .
Before proving the proposition, we show a primary lemma.
Lemma 4.2**.**
If
[TABLE]
we have
[TABLE]
Proof.
By Hardy-Littlewood-Sobolev inequality, we gain
[TABLE]
Therefore,
[TABLE]
Note that
[TABLE]
By (4.2), we get
[TABLE]
It means that if
[TABLE]
we have
[TABLE]
∎
Next we give the Schwartz symmetrical rearrangement argument about the functional .
Lemma 4.3**.**
Assume is a non-radial function, denote as the Schwartz symmetrical rearrangement of , then ,
[TABLE]
Proof.
By the classical Schwartz symmetrical rearrangement argument, we know that satisfies
[TABLE]
By Lemma 2.1, we get
[TABLE]
Since is nonradial, then we have and
[TABLE]
Therefore,
[TABLE]
holds. ∎
Now we will prove Proposition 4.1. By solving a minimization problem, the minimum is attained at the ground state of the corresponding stationary equation.
The proof of Proposition 4.1.
We need to show the minimum can be attained first.
Suppose that the non-zero function sequence is the minimal sequence of the functional , that is to say,
[TABLE]
By Lemma 4.3, without loss of generality, we can assume is non-negative radial.
Note that for any , , we have
[TABLE]
Denote
[TABLE]
Then, is non-negative radial, and
[TABLE]
Note that is bounded in and
[TABLE]
then there exist a subsequence and , such that as , we have in and in .
By the weak low semi-continuity of the functional and , we obtain
[TABLE]
Since , by Lemma 4.2, we have
[TABLE]
Therefore,
[TABLE]
Thus we proved that the minimum can be attained.
Next, consider the variational derivatives of , , : fix , for any ,
[TABLE]
If the functional attains the minimum at , then we have for any ,
[TABLE]
It means that
[TABLE]
i.e.
[TABLE]
where
[TABLE]
By a direct calculation, we know
[TABLE]
Therefore, is the solution of (4.1) using the scaling .
Next we prove that if is the minimal element, then is radial and there exists a constant such that .
If is non-radial, then by Lemma 4.3, , which is contradict to the minimality of . So is radial.
Since , is also a minimal element. Suppose that , where is a real-valued function, then
[TABLE]
By the minimality of , . But by and , we have . So in (4.7), thus . Therefore, , where , , and is the non-negative non-zero radial solution of (4.1).
Finally, we prove that all ground states have the same mass.
For ,
[TABLE]
Using the chain rules and variational derivatives (4.4), then letting in the left side, we can obtain
[TABLE]
Since satisfies (4.1), we have
[TABLE]
This yields
[TABLE]
∎
Using the above proposition, we can directly obtain the following corollary.
Corollary 4.4** (Gagliardo-Nirenberg inequality).**
[TABLE]
where . The equality holds if and only if is a minimal element of functional , that is to say , or .
Indeed, By (4.3) and , we have
[TABLE]
Thus,
[TABLE]
so,
[TABLE]
where . (4.9) holds.
To study the properties of ground state, we start with elliptic equations (4.10).
[TABLE]
It is easy to get some basic relations between and the norms of . Multiplying (4.10) by and respectively, integrating by parts leads to
[TABLE]
Combining (4.11) and (4.12), we get
[TABLE]
So
[TABLE]
Meanwhile, using energy and mass conservations, we have
[TABLE]
Lemma 4.5** (Coercivity ).**
If and , then there exists so that
[TABLE]
for all , where is the maximal-lifespan solution to (). In particular, and is uniformly bounded in .
Proof.
Setting
[TABLE]
Considering Gagliardo-Nirenberg inequality (4.9), we have
[TABLE]
Using (4.13) and (4.14), we get
[TABLE]
So there exist and such that
[TABLE]
Taking into account the case of , we can easily know . Let , and then (4.15) holds. ∎
Lemma 4.6** (Coercivity ).**
Suppose , than there exists such that
[TABLE]
Proof.
Firstly, by Gagliardo-Nirenberg inequality and (4.15)
[TABLE]
Secondly, by the definition of ,
[TABLE]
which yields
[TABLE]
Furthermore,
[TABLE]
∎
Lemma 4.7** (Coercivity on balls).**
There exists sufficiently large such that
[TABLE]
In particular, by Lemma 4.6, there exists so that
[TABLE]
uniformly for .
Proof.
First note that
[TABLE]
uniformly for . Thus, it suffices to consider the term. For this, we will make use of the following identity:
[TABLE]
which can be obtained by a direct computation. In particular,
[TABLE]
Choosing sufficiently large depending on and , the result follows. ∎
5. The Proof of Scattering Criterion
Now We will follow the strategy in [4] to prove the scattering criterion (Proposition 1.4) in this section.
Proof.
Our proof is divided into four steps.
**Step one. ** We claim that if
[TABLE]
then the solution of () is global and scatters, i. e. , s. t.
[TABLE]
Firstly, using Strichartz estimates Theorem 2.6,
[TABLE]
where we have used the fact that is a unitary group for any time .
By Hölder inequality and Hardy-Littlewood-Sobolev inequality, the inner integral is
[TABLE]
Integrating with respect to time variables and using Hölder inequality, so
[TABLE]
which means
[TABLE]
holds since (5.1) holds.
Secondly, if we set
[TABLE]
we can get , i. e. .
Actually, we have
[TABLE]
By Cauchy convergence criterion and (5.4), we also have
[TABLE]
Thus, holds by the definition of .
Lastly, we prove that (5.2) holds. By the Duhamel formula
[TABLE]
we have
[TABLE]
Using the similar argument and (5.4),
[TABLE]
Thus the claim holds.
**Step two. ** We boil down the problem further and assert that if
[TABLE]
holds, then (5.1) holds.
Firstly, by Duhamel formula, we have
[TABLE]
where
[TABLE]
and
[TABLE]
where will be decided later.
Next let us deal with the three terms in (5.7) respectively. Now denote
Owing to (1.3) and Strichartz estimates, we know that
[TABLE]
For , note that
[TABLE]
We will estimate the two factors respectively.
On one hand,
[TABLE]
On the other hand, now our position is into to estimate .
If , then using dispersive estimate (2.9), Hölder inequality and Hardy-Littlewood-Sobolev inequality,
[TABLE]
where if ; and if . and we have used
[TABLE]
where we need and , which implies .
[TABLE]
where by the assumption .
For
[TABLE]
where , if ; and , if . and we have used
[TABLE]
and
[TABLE]
On the exterior of the ball, using the radial Sobolev embedding we have
[TABLE]
Thus we complete the estimate of after choosing .
For , by Strichartz estimate, interpolation inequality and inequality of arithmetic and geometric mean ( i. e. ), we know
[TABLE]
By the assumption (5.6), it is obvious to get
[TABLE]
Combining with (5.7)-(5.9), we have
[TABLE]
Secondly, making use of Duhamel formula (5.5) again we can see clearly that
[TABLE]
Until now, we can deduce from (5.10) that the first term is small as long as is large enough, so we only need to estimate the second term. In fact, making use of the similar estimate to term, we have
[TABLE]
where we have used Strichartz estimats, interpolation inequality, inequality of arithmetic and geometric mean and (5.3).
Thus by continuity method and (5.10), we can easily deduce that (5.1) holds.
**Step three. ** We assert that (5.6) holds if
[TABLE]
holds. More accurately, the upper bound of is for sufficiently large.
Firstly, for the nonlinear term , we have
[TABLE]
Substituting it into the integral to time and get
[TABLE]
Secondly, note that we have established the following Strichartz inequalities:
[TABLE]
[TABLE]
By Sobolev embedding, we have
[TABLE]
And we deduce
[TABLE]
[TABLE]
where denotes for any .
Set
[TABLE]
then by Duhamel formula (5.5), we have
[TABLE]
Continuity method yields
[TABLE]
Combining with (5.11) and (5.12), we have
[TABLE]
which implies (5.6) holds.
**Step four. ** At the end of the proof, we prove (5.11) holds.
Note the assumption (1.5), we can see that there exists such that
[TABLE]
Fix , define the radial function:
[TABLE]
Then we have
[TABLE]
Using the identity
[TABLE]
which follows from (), together with integration by parts and Cauchy-Schwarz inequality, we deduce
[TABLE]
Thus, we can find
[TABLE]
by choosing and , and .
Thus, by interpolation inequality, we have
[TABLE]
and
[TABLE]
So,
[TABLE]
for .
Combing the above steps, we finish the proof of the scattering criterion only if is arbitrarily small. ∎
6. Morawetz Estimate
In this section, we are now in the position to prove the Morawetz Estimate (1.4) holds. As we all know, the decay estimate of the solution can be characterized by Morawetz estimate.
We define the function:
[TABLE]
where is the solution of (), and is a real function to be chosen later.
Then we have
[TABLE]
where we have used
[TABLE]
For fixed , we choose in (6.1) to be a hybrid function
[TABLE]
satisfying
[TABLE]
Here denotes the radial derivative, i. e. . Under these conditions, the matrix is non-negative. And
[TABLE]
We will make use of radial Sobolev embedding to estimate every terms in (6.4). Now we choose a cut function , satisfying
[TABLE]
For , according to Lemma 4.7,
[TABLE]
where
[TABLE]
where we need
[TABLE]
which yields
[TABLE]
and by the same argument,
[TABLE]
For , because of , and , we have
[TABLE]
so,
[TABLE]
For is radial, thus
[TABLE]
It is obvious that
[TABLE]
Similar to the estimates of and , we have
[TABLE]
and
[TABLE]
Continuing from above and (6.4), we discard non-negative terms and deduce
[TABLE]
which implies
[TABLE]
The fundamental theorem of calculus tells us
[TABLE]
or expressed as
[TABLE]
Thus, we have proved (1.4) exactly and finished the proof.
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