Justification of Peregrine soliton from full water waves
Qingtang Su

TL;DR
This paper rigorously justifies the Peregrine soliton as an approximate solution of the full water wave equations in a specific regime, connecting it to rogue wave phenomena and proving long-term existence of small initial data solutions.
Contribution
It provides a rigorous derivation of the NLS and Peregrine soliton from full water wave equations in a non-tangential decay regime, with long-time existence results.
Findings
Justification of NLS as an envelope equation for water waves
Rigorous derivation of Peregrine soliton from water wave system
Long-time existence of solutions with small initial data
Abstract
The Peregrine soliton is an exact solution of the 1d focusing nonlinear schr\"{o}dinger equation (NLS) , having the feature that it decays to at the spatial and time infinities, and with a peak and troughs in a local region. It is considered as a prototype of the rogue waves by the ocean waves community. The 1D NLS is related to the full water wave system in the sense that asymptotically it is the envelope equation for the full water waves. In this paper, working in the framework of water waves which decay non-tangentially, we give a rigorous justification of the NLS from the full water waves equation in a regime that allows for the Peregrine soliton. As a byproduct, we prove long time existence of solutions for the full water waves equation with small initial data in space of the form…
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Justification of Peregrine soliton from full water waves
Qingtang Su
Abstract.
The Peregrine soliton is an exact solution of the 1d focusing nonlinear schrödinger equation (NLS) , having the feature that it decays to at the spatial and time infinities, and with a peak and troughs in a local region. It is considered as a prototype of the rogue waves by the ocean waves community. The 1D NLS is related to the full water wave system in the sense that asymptotically it is the envelope equation for the full water waves. In this paper, working in the framework of water waves which decay non-tangentially, we give a rigorous justification of the NLS from the full water waves equation in a regime that allows for the Peregrine soliton. As a byproduct, we prove long time existence of solutions for the full water waves equation with small initial data in space of the form , where .
1. Introduction
The motion of the two dimensional inviscid incompressible irrotational infinite depth water waves without surface tension is described by the free boundary Euler equations (It’s called the water wave equations, or water wave system)
[TABLE]
Here is the fluid region, with the free interface , is the fluid velocity, and is the pressure. separates the fluid region below with density one from the air with density zero. We identify a point with . It implies from and that is holomoprhic in , so is completely determined by its boundary value on . Let the interface be given by , with the Lagrangian coordinate, so that , and v_{t}+v\cdot\nabla v\Big{|}_{\Sigma(t)}=z_{tt}. Because , we can write \nabla p\Big{|}_{\Sigma(t)}=-iaz_{\alpha}, where is a real valued function. So the momentum equation along can be written as
[TABLE]
Since is the boundary value of , the water wave equations (1) is equivalent to
[TABLE]
Here, by holomorphic, we mean that there is a holomorphic function on such that .
The motion of water waves is a fascinating subject that has attracted the attention of scientists for centuries. For early works, see Newton [33], Stokes[40], Levi-Civita[30], and G.I. Taylor [42]. In recent years there have been numerous study on the wellposedness of the periodic water waves or water waves which are at rest at spatial infinity. Nalimov [32], Yosihara[54] and Craig [14] proved local well-posedness for 2d water waves equation (1) for small initial data. In S. Wu’s breakthrough works [50][51], she proved that for the important strong Taylor sign condition
[TABLE]
always holds for the infinite depth water wave system (1), as long as the interface is non-self-intersecting and smooth, and she proved that the initial value problem for (1) is locally well-posed in without smallness assumption. Since then, a lot of interesting local well-posedness results were obtaind, see for example [3], [5], [10], [11], [24], [29], [31], [34], [38], [56]. Recently, almost global and global well-posedness for water waves (1) under irrotational assumption have also been proved, see [52], [53], [19], [26], [1], and see also [21], [22], and [46]. More recently, there are strong interests in understanding the singularities of water waves, see for example [28], [48], [47], [49]. For the formation of splash singularities, see for example [8][7][12][13] . Note that all the aforementioned works assume either the water waves is periodic or at rest at spatial infinity. Regarding water waves that are nonvanishing at infinity111By nonvanishing, we mean that the water wave is neither periodic nor at rest at spatial infinity, in [2], Alazard, Burq and Zuily showed that the water waves system is locally wellposed in Kato’s uniform local Sobolev spaces .
Another important research direction concerns the behavior of the water waves in various asymptotic regimes, see for example [15][36][4]. The 1d cubic NLS
[TABLE]
is relevant in deep water regime. It is completely integrable, and has many exact solutions. The 1d NLS is related to the full water wave system, in the sense that asymptotically it is the envelope equation for the free interface of the water waves. If one performs multiscale analysis to determine the modulation approximations to the solution of the finite or infinite depth 2d water waves equations, i.e., a solution of the parametrized free interface which is to the leading order a wave packet of the form
[TABLE]
then solves the 1d focusing cubic NLS. Here , and . So the envelope is a profile that travels at the group velocity determined by the dispersion relation of the water wave equations on time scale , and evolves according to the NLS on time scale .
This discovery was derived formally by Zakharov [55] for the infinite depth case, and by Hasimoto and Ono [20] for the finite depth case. In [16], Craig, Sulem and Sulem applied modulation analysis to the finite depth 2D water wave equation, derived an approximate solution of the form of a wave packet and showed that the modulation approximation satisfies the 2D finite depth water wave equation to the leading order. In [37], Schneider and Wayne justified the NLS as the modulation approximation for a quasilinear model that captures some of the main features of the water wave equations.
The rigorous justification of the NLS for the full water waves was given by Totz and Wu [45] in infinite depth case, and the justification in a canal of finite depth was proved by Düll, Schneider and Wayne [17] . See also [23]. All of these works assume the data vanish at spatial infinity. However, there are many important solitons of NLS that are neither periodic nor vanishing at . One such important example is the Peregrine soliton discovered by Peregrine in 1983 [35], which is defined by
[TABLE]
Plug in (6), one observes that a weakly oscillatory periodic wave at the time and spatial infinity, but has peaks and troughs at a local region. The Peregrine soliton is important to the ocean waves because the feature of the corresponding wave packet is consistent with the qualitative description of a rogue wave in the ocean. We call the wave packet corresponding to the Peregrine soliton just by the Peregrine soliton. Indeed, the Peregrine soliton is conjectured to be one of the mechanisms for the formation of rogue waves by the ocean waves community, see [39] for more details. In 2010, the Peregrine soliton was observed in fibre optics [27], which shows that the Peregrine soliton is a nature phenomena rather than just a mathematical prediction! Stimulated by this discovery, there have been a lot of efforts to produce the Peregrine solitons in other backgrounds, for example, in [9], the authors carried out the first experiment to observe Peregrine-type breather solutions in a water tank. These experiments suggest the Peregrine soliton is plausible description of the formation of rogue waves. So it’s desirable to have a mathematical theory to justify that the Peregrine soliton can be developed in water waves. Since the motion of the water waves is governed by the water wave equations, while the Peregrine soliton is an exact solution of the NLS, we ask the following question:
Question 1. Is there any solution to the system (3) with its envelope looks like the Peregrine soliton?
Since the leading order of the envelope of the wave packet evolves according to the NLS on time scale , in order to observe the evolution of the wave packet, the observer must focus on the water waves on time scale . So a more precise formulation of Question 1 is as follows:
Question 1’. Is there any solution to (3) such that
[TABLE]
Here denotes some norm. Since is neither periodic nor vanishing at , the framework in [45] or [17] cannot be applied to justify the Peregrine soliton from the full water wave equations.
In this paper, we give an affirmative answer to Question 1’. Denote
[TABLE]
Notation. Denote .
Let , where , where . Define
[TABLE]
The main result of this paper is the following which gives a rigorous justification of the NLS with nonzero boundary values at spatial infinity from the full water waves.
Theorem 1.1**.**
Let , and be given. . Denote by the solution of the NLS: with initial data , and let , where , , and . There exists a constant such that for all , there exists initial data to the water wave system (3) such that
[TABLE]
and there exists a constant such that for all such initial data, the water waves system has a unique solution with
[TABLE]
satisfying
[TABLE]
for some constant .
Remark 1.1**.**
Theorem 1.1 gives rigorous justification of the NLS with nonzero boundary vlaues at in Lagrangian coordinates. In (12), please note that we only justify the modulation approximation for the imaginary part of ,, i.e.,
[TABLE]
In Theorem 10.1, we give a full justification of the Peregrine soliton from full water waves in a different coordinates. We fail to rigorously justify in the Lagrangian coordinates because we are unable to obtain good control of the change of variables on time scale , please see Theorem 10.1 and Remark 10.1 for the details.
Remark 1.2**.**
Let solves . Then
[TABLE]
solves .
Applying Theorem 1.1 to gives an affirmative answer to Question 1’.
Remark 1.3**.**
* is of course not optimal. We take to avoid getting into too many technical issues.*
1.1. Challenges of the problem and the strategy.
1.1.1. First difficulty: find a right class of water waves to work with.
Suppose is the Peregrine soliton, then the wave packet is nonvanishing. As a consequence, in order to justify the Peregrine soliton from the full water waves, we need to show that water waves with nonvanishing data of size exist on time scale . In [2], Alazard, Burq, and Zuily proved local wellposedness of (1) with nonvanishing data in Kato’s uniform local space . Their result implies that for initial data of size , the lifespan of the solution is at least of order , which is not enough for justifying the Peregrine soliton. Even though the long time existence has been well-known for periodic waves and localized waves, to the author’s best of knowledge, for nonvanishing water waves, no long time existence results with lifespan of the solution longer than the order of exist, and the analytical tools developed for the vanishing or periodic data can not be directly used in this setting.
In order to prove long time existence of the water wave system, one needs to find a cubic structure for the water wave equations. More precisely, we need to find some quantity such that and
[TABLE]
with consists of cubic and higher order nonlinearities. For water waves with data in Sobolev spaces, there are two ways of doing this. The first one is the fully nonlinear transform constructed by S. Wu. In [52], S. Wu considered and showed that . Here,
[TABLE]
is the Hilbert transform associated with the free interface labeled by . Using this fully nonlinear transform, S. Wu was able to prove the almost global existence for the irrotational water waves with small localized initial data. The method implies lifespan of order for nonlocalized data of size in Sobolev spaces. This nonlinear transform is also used in [53][45][44][26][41]. See also [21][22] for similar ideas. The second way is to use the normal form transformation to construct a cubic structure, see for example [1][26][46][25][6]. These two methods work well for water waves with periodic data or with data in Sobolev spaces.
However, for nonvanishing water waves, such a cubic structure was unclear for both methods. The first difficulty we confront is to find a right class of water waves that we can work with. This class of water waves must be non-vanishing at spatial infinity along the free interface. However, if the water waves have too many activities at infinity, then it’s not obvious at all that why the water waves should exist for a long time.
1.1.2. The idea of resolving the first difficulty: water waves that decays nontangentially
Let be the Peregrine soliton, then the wave packet can be decomposed as
[TABLE]
Note that is periodic, vanishes at infinity, therefore, we consider water waves which is a superposition of periodic waves and waves which vanish at infinity. Moreover, since , we can assume that the periodic waves has more regularity than the localized waves. This motivates us to work in the function space , where .
Key observation: Although the velocity is nonvanishing along the free interface, however, away from the free interface, can vanish at spatial infinity. In other words, although the water waves have a lot of activity at spatial infinity along the free interface, however, away from the interface, the water waves can be at rest at infinity. This observation suggests that, away from the free interface, the interaction between the periodic waves and the localized waves is weak.
To make the above discussion precise, we use the notion of decay nontangentially.
Definition 1.1** (Cone).**
Let . Let . Denote
[TABLE]
That is, is the cone with vertex and angle .
Definition 1.2** (Decay nontangentially).**
Let be a function in . Let be a fixed point. We say that nontangentially as if for any ,
[TABLE]
Remark 1.4**.**
Note that the definition above is invariant if we use different . As a consequence, we choose and write as .
Remark 1.5**.**
If is a periodic function in , and
[TABLE]
then decays nontangentially.
It turns out that the decay nontangentially is the right setting for nonvanishing water waves. If we assume the velocity field decays nontangentially, follow S. Wu’s method in [52], at least formally (in BMO sense, because the Hilbert transform maps to ), we can show that the quantity satisfies
[TABLE]
Formally, is cubic, while contains first order terms, so contains quadratic terms, which does not imply cubic lifespan. To resolve the problem, we follow S. Wu’s idea and consider the change of variables such that is boundary value of a holomorphic function which decays nontangentially, where . Denote , . In new variables, the system (3) is written as
[TABLE]
and we have
[TABLE]
where
[TABLE]
Moreover, we have
[TABLE]
[TABLE]
So , are quadratic. Therefore, at least formally, we have
[TABLE]
If decay222In this paper, by a function decays at , we mean that for some , even though it could be possible that does not exist. at spatial infinity or periodic, then use S. Wu’s method, we could prove that (1) is wellposed on time scale .
1.1.3. The second difficulty
If the water wave is nonvanishing, then it’s difficult to define an energy associated with (21) which still preserves the cubic structure. Indeed, because for any , we cannot estimate in . If we estimate in , as is explained by Alazard, Burq and Zuily in [2], there is loss of derivative in such spaces. One might try to estimate in Kato’s uniform local Sobolev spaces as in [2]. Assume is a partition of unity of . One needs to consider the quantity . It turns out that has first and quadratic nonlinearities, which are difficult to get rid of.
1.1.4. Idea of resolving the second difficulty
To resolve this problem, we note that if , then can be decomposed uniquely as
[TABLE]
where is periodic, and decays at spatial infinity. Let and be determined by
[TABLE]
[TABLE]
where
[TABLE]
Denote , then satisfies
[TABLE]
It has been well known that the periodic water waves with initial data of size exists on lifespan of order at least . So it suffices to control and on time scale . In sense, we have
[TABLE]
where is the Hilbert transform associated with , i.e.,
[TABLE]
Now consider the quantity
[TABLE]
Then . Moreover, we can prove that
[TABLE]
Since is in Sobolev space, we can use energy method to prove the following result:
Theorem 1.2**.**
Let . Let . Assume . Then there exists sufficiently small and a constant such that for all , the water wave equations (3) admit a unique solution . Moreover,
[TABLE]
for some constant .
To our best knowledge, Theorem 1.2 is the first long time existence for nonvanishing water waves. More importantly, using this long time existence result, we are able to justify the NLS from the full water waves in a regime that allows for Peregrine solitons, and prove Theorem 1.1.
1.1.5. Rigorous justification of the Peregrine soliton from water waves .
We prove Theorem 1.1 through the following steps.
- Step 1.
Construction of approximate solution.
Let be a solution to the NLS. Consider interface of the form
[TABLE]
By multiscale analysis, we can choose be such that and , depend on and only. We define an approximate solution to by
[TABLE]
then formally333This is in -norm sense, i.e., . In norm, ,
[TABLE]
Similarly, we approximate , by some appropriate functions such that
[TABLE]
Denote
[TABLE]
where is the periodic part of , and decays at spatital infinity. Denote the periodic part of . Denote
[TABLE]
To rigorous justify the NLS from the water waves, we need to control the error on time scale .
- Step 2.
A priori error estimates for the periodic part
For data of the form (85), we show that
[TABLE]
So we can obtain
[TABLE]
- Step 3.
A priori error estimates for the vanishing part
Consider the quantity
[TABLE]
We remind the readers that and are the Hilbert transforms associated with and , respectively. We can show that .
By exploring the structure of , we show that
[TABLE]
So we can obtain
[TABLE]
- Step 4.
In Step 1, we’ve constructed an approximate solution which exists on time scale . In Step 2 and Step 3, we obtain a priori bound on the energy for the remainder on long time scale . However, since does not in general satisfy the water wave equations, the wave packet like data cannot be taken as the initial data of the water wave equations. Similar to that in [45], we show that there is initial data for the water wave system that is within to the wave packet . By long time existence of (20) with initial data of size in , the solution of the system (20) exists on time scale . The a priori bound on gives the estimate of the error between and the wave packet on the order for time on the scale. The appropriate wave packet approximation to is then obtained upon changing coordinates back to the Lagrangian variable.
1.2. Outline of this paper
In §1.3, we introduce some basic notation and convention. Further notation and convention will be made throughout the paper if necessary. In §2 we will provide some analytical tools and the basic definitions that will be used in later sections. In section 3, we sketch a proof of long time existence of the periodic water waves system, which we will use in later sections. In Section 4, we set up the water waves system with data in , derive formula for the corresponding quantities, and then prove long time existence of water waves in the function space . In Section 5, we formally derive NLS with non-vanishing boundary value at from non-vanishing water waves system that we set up in Section 4, and obtain an approximation to water waves system. In Section 6, we derive governing equations for , then we show that remains small on time scale . In Section 7, we derive governing equations for , and define corresponding energies that could be used to control norms of . In Section 8, we obtain a priori bounds of a list of quantities that appear in the energy estimates, and in Section 9, we obtain energy estimates on time scale . As a consequence of the energy estimates, we prove our Main Theorem 1.1 in Section 10. In the appendix, we show that cannot be the boundary value of a holomorphic function in the region below the curve .
1.3. Notation and convention
Assume a function on boundary of . By saying holomorpihc, we mean is boundary value of a holomorhpic function in . Let , if is neither periodic nor vanishing at spatial infinity, then we say that is nonvanishing.
We use to denote a positive constant depends continuous on the parameters . Throughout this paper, such constant could be different even we use the same letter . The commutator . Given a function , the composition . We identify the with the complex plane. A point is identified as . For a point , represents the complex conjugate of .
2. Preliminaries
In this section, we define the class of holomorphic functions that are considered in this paper, and define the function spaces, norms involved. Also, we collect the preliminary analytical tools such as double layer potential theory, commutator estimates and some basic identities.
2.1. Two classes of holomorphic functions
We define two classes of holomorphic functions.
- (1)
Bounded holomorphic functions which decays nontangentially,
- (2)
Periodic holomorphic functions which approaches 0 as .
Periodic holomorphic functions are used to explore the periodic water waves system, while bounded holomorphic functions which decays non-tangentially is a good setting for water waves with initial data of the form . For convenience, we introduce the following notation.
Definition 2.1**.**
Denote
[TABLE]
Denote
[TABLE]
Remark 2.1**.**
Let . If for some , then we say .
2.2. Fourier transform
In this subsection we define the Fourier transform on and on .
Definition 2.2**.**
Let , then we Fourier transform of as
[TABLE]
Let . Then define Fourier transform of on , still denoted by :
[TABLE]
2.3. Function spaces
In this subsection, we define some function spaces that we’ll use in this paper.
Definition 2.3**.**
(1) Let , we define
[TABLE]
and we define the norm by
[TABLE]
(2) We define
[TABLE]
and we define the norm
[TABLE]
(3) Let or . Without loss of generality, assume is an integer. Define
[TABLE]
Define the norm
[TABLE]
We’ll use the following Sobolev embedding a lot.
Lemma 2.1**.**
(1) If , and , then , and
[TABLE]
(2) If , and , then , and
[TABLE]
Definition 2.4**.**
Let . Let be fixed. Define
[TABLE]
Associate with the norm
[TABLE]
Lemma 2.2**.**
Let . Then is a Banach space.
Remark 2.2**.**
Let . The decomposition for and is unique.
2.4. Hilbert transform and double layer potential
Let be a chord-arc for every fixed time , we define the Hilbert transform associated with by
[TABLE]
Remark 2.3**.**
We’ll also use the notation in this paper, represents Hilbert transform associated with , respectively. We denote the Hilbert transform associated with .
The double layer potential operator associated with is given by
[TABLE]
The adjoint of the double layer potential operator associated with is defined by
[TABLE]
For periodic functions, we use the following version of Hilbert transform. Let be a chord-arc, , where is periodic. Let be the region below the curve . Define the periodic Hilbert transform associated with as
[TABLE]
Remark 2.4**.**
Please note the difference between ad .
The corresponding double layer potential operator is given by
[TABLE]
The corresponding adjoint of is given by
[TABLE]
2.4.1. Characterization of holomorphic functions
For holomorphic functions which decay nontangentially, we have the following description.
Lemma 2.3**.**
Let . Then is defined and
[TABLE]
Proof.
This is a consequence of Cauchy’s theorem. ∎
We have the following well-known characterization of periodic holomorphic functions.
Lemma 2.4**.**
Assume . Then if and only if
[TABLE]
We’ll use the following boundedness of Hilbert transform and double layer potential operators. Suppose that exist on for some constant , and satisfy the following chord-arc condition: There exist constants such that for all ,
[TABLE]
and
[TABLE]
Lemma 2.5**.**
Assume satisfy (58) and (59), respectively. Then there exist constants and such that
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proof.
See for example Chapter 4 of [43] for the case on . The case on can be proved in a similar way. ∎
Remark 2.5**.**
Because we consider smooth and small solution, indeed we have for real function , for such that small, an easy calculation gives
[TABLE]
From this, the boundedness of follows immediately.
2.5. Some basic identities
Lemma 2.6**.**
Let be fixed. Assume , . We have
[TABLE]
For proof, see [52].
Lemma 2.7**.**
Let be fixed. Assume that . We have
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proof.
Note that
[TABLE]
Using this, we obtain (71). (72) is proved exactly the same way. (73) is prove similarly. (74) is a direct consequence of (72) and (73).
To prove (75), by changing of variable, it suffices to prove
[TABLE]
(77) is a direct consequence of (73) and the following identity:
[TABLE]
∎
Remark 2.6**.**
The identities in lemma 2.6 and lemma 2.7 hold true in BMO sense.
2.6. Basic commutator estimates
Let be an integer. Define
[TABLE]
[TABLE]
We have the following comutator estimates, which can be found in [45], [52].
Proposition 2.1**.**
(1) Assume each satisfies the chord-arc condition
[TABLE]
where are positive constants and . Then both and are bounded by
[TABLE]
where one of the is equal to and the rest are . The constant depends on .
(2) Let be given, and suppose chord-arc condition (80) holds for each , assume .then
[TABLE]
where for all , or and or . The constant depends on .
Let be integer. Define
[TABLE]
[TABLE]
We have
Proposition 2.2**.**
Assume satisfies the chord-arc condition (59). Then
[TABLE]
[TABLE]
where the constant depends on .
Proof.
This can be derived from Proposition 2.1. ∎
3. Water wave system in periodic setting
In this section, we use S. Wu’s method (see ([52], [53]) to give a sketch of proof of long time existence of water wave system in periodic setting. Long time existence of periodic water waves is not new, the methods in [52][26][1][21] all imply cubic lifespan for 2d gravity water waves with small initial data. We use S. Wu’s method to sketch the proof here because we need to bound the quantities such as on time scale in later sections, and also because we need to use this method to prove the remainder term remains small for sufficiently long times. Solution of this periodic water waves system has the same boundary values at spatial infinity as a water waves system whose initial data is assumed to be in .
3.1. Notation
, for some function . . be the region bounded above by the graph .
3.2. Set up of the periodic water waves system
Consider the periodic water waves system
[TABLE]
Let be a diffeomorphism given by
[TABLE]
Then the change of coordinates brings the system (85) back to Lagrangian coordinates, namely, with , we have
[TABLE]
Take on both sides of the above equation, we get :
[TABLE]
Precomposing with on both sides of the above equation, we obtain,
[TABLE]
Similar to the derivation of formula for , , in [52], we can derive formula for . We give the details for the derivation of formula for . Formula for follow in a similar way.
3.3. Formula for
We have
[TABLE]
Proof.
By assumption, , where . We have
[TABLE]
Note that , we have
[TABLE]
Also note that
[TABLE]
Apply on both sides of (91), we have
[TABLE]
∎
3.4. Formula for
[TABLE]
3.5. Formula for
We have
[TABLE]
3.6. Local well-posedness
(85) is a fully nonlinear system. To prove local well-posedness, one way is to quasilinearize this system. In [50], S. Wu showed that for water waves which vanish at infinity, one can quasilinearize (85) by just taking one derivative in time. For periodic case, we have quasilinearization
[TABLE]
By formula (90), (92) together with Proposition 2.2, the system (94) is a quasilinear system. So the local well-posedness can be obtained similar to the work of S. Wu[50]. We omit the details and state the result as follows:
Theorem 3.1** (local well-posedness).**
Let . Assume that satify the compatiability condition, i.e., , and
[TABLE]
Assume . Then there is depending on the norm of the initial data such that the water waves system (85) has a unique solution for , satisfying
[TABLE]
Moreover, if is the supremum over all such times , then either , or , but
[TABLE]
or
[TABLE]
or
[TABLE]
3.7. Long time behavior
We use S. Wu’s method ([52]) to study the long time behavior of periodic water waves with small initial data. Consider the quantity and . One can show that
[TABLE]
Apply lemma 2.7, we obtain
[TABLE]
and
[TABLE]
Note that
[TABLE]
which is cubic. So we can prove long time existence. We state the result as follows.
Theorem 3.2** (Long time existence).**
Let . Let satisfy the compatibility condition as in Theorem 3.1. There exists such that for all , if
[TABLE]
then there exists a positive constant such that the solution to (85) exists on , and
[TABLE]
As a consequence, use formula (90), (92), (93), and use lemma 2.5, we obtain bounds for .
Corollary 3.1**.**
With the assumptions in Theorem 3.2, there exists independent of and such that for all ,
[TABLE]
In particular, by Sobolev embedding, we have
[TABLE]
Proof.
For (103), take real part of equations (90), (92), and (93), respectively, then use (65). For (104), use lemma 2.1 and (103). ∎
Another consequence is the following.
Corollary 3.2**.**
The quantities , , and are well-defined, and
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proof.
The functions , , , are in . Then the corollary follows from lemma 2.3. ∎
Remark 3.1**.**
Note that in the above corollary, the Hilbert transform is defined by
[TABLE]
For a bounded smooth function , does not always define an function. In such cases, is interpreted in sense.
Notation Denote
[TABLE]
4. Water waves system with data in
We consider long time existence of non-vanishing water waves system with data of the form . This is a natural generalization of the current known long time existence results for water waves. Moreover, if we restrict ourselves to smooth water waves, then this class of water waves has included many physically relevant situations.
Let be the solution to the periodic water wave system in the previous section. We consider the class of solutions of water wave system with boundary values at , i.e., we consider
[TABLE]
Recall that . and cannot be arbitrary. Instead, they are determined by the water wave system and the constraint that . Denote
[TABLE]
where .
In the following subsections, we derive formula for and , etc. The derivation is almost the same as that in [52], except that we are dealing with functions which are not necessarily vanishing at .
4.1. Formula for and
[TABLE]
and
[TABLE]
Proof.
We have
[TABLE]
Since , if we apply on both sides of the above equation and use lemma 2.3, we have
[TABLE]
So we have444Note that and are defined as BMO functions. Moreover, . Similar properties hold for other quantities such as .
[TABLE]
So we obtain (110). Use completely the same proof, we have
[TABLE]
So we obtain (111). ∎
4.2. Formula for
Use the water wave system, we have . Note that
[TABLE]
[TABLE]
Since , by lemma 2.3, we have
[TABLE]
Apply on both sides of , use (114), (115), and (116), we have
[TABLE]
Use (116) again, we can write (117) in commutator form:
[TABLE]
Use completely the same argument, we get a nonlocal version of formula for :
[TABLE]
Remark 4.1**.**
Formula (118) implies that is quadratic.
4.3. Formula for and
Apply on both sides of , we have
[TABLE]
Apply on both sides of (120), use , we have
[TABLE]
So we have
[TABLE]
Use the same argument, we get nonlocal version of formula for :
[TABLE]
4.4. Formula for
Write . By (110), (111), we have
[TABLE]
So we obtain
[TABLE]
4.5. Formula for
We have
[TABLE]
4.6. Formula for
The idea of deriving formula for is the same as that for : find formula for and and then consider their difference. The derivation of formula for and are similar to that in S. Wu’s paper (See Proposition 2.7 of [52]). We record the formula as follows.
[TABLE]
For the periodic part, we have
[TABLE]
Subtract (127) from (126) , we have
[TABLE]
4.7. Formula for
[TABLE]
Now we have formula for . So that we have a quasilinear system. It’s not difficult to obtain local well-posedness of this quasilinear system. We omit the details and focus on the long time existence.
4.8. A discussion on long time existence
In order to prove long time well-posedness, one idea is to find some quantity with , such that
[TABLE]
In [52], S. Wu take and show that consists of cubic and higher order terms. For water waves that is neither periodic nor vanishing at spatial infinity, if we take , then is still cubic, at least in sense. As was explained in the introduction, since is not in any based spaces, it’s difficult to associate with an appropriate energy which still preserves this cubic structure.
Note however that, given any compatible initial data be such that
[TABLE]
by Theorem 3.2, exists on time scale , so we need only to consider long time existence for and : and it’s advantageous to do so, because and vanish as , while and oscillate at . It turns out that consists of cubic and higher order nonlinearities. So we are able to prove long time existence in our situation.
4.9. Governing equation for
4.9.1.
In [52], the key ingredients that S. Wu derived are:
[TABLE]
In our situation, (130) is still true, despite that we have non-vanishing water waves at . Use the same derivation as in [52], we have
[TABLE]
Similarly,
[TABLE]
4.9.2. An equivalent quantity of
Denote
[TABLE]
The reason we consider this quantity is that at least formally, we have known and consist of cubic and higher order terms. So the quantity is at least cubic. Moreover, is quadratic. So is cubic.
Note that might not be holomorphic in . To avoid loss of derivatives, we consider the quantity
[TABLE]
First we derive water waves equation for , and then we derive . Direct calculation gives
[TABLE]
Then we have
[TABLE]
So consists of cubic and higher order nonlinearities. Note that
[TABLE]
We have
[TABLE]
Note that
[TABLE]
is quadratic, so is cubic. is holomorphic in , so is cubic. So
[TABLE]
is cubic.
4.10. Governing equation for .
The nonlinearities contains a term of the form , which loses derivatives in energy estimates. So we consider the quantity
[TABLE]
Denote
[TABLE]
Remark 4.2**.**
If we replace by , then we’ll lose one derivative in the energy estimates. The advantage of acting on is that , so , which prevents losing one derivative.
We have
[TABLE]
And we have
[TABLE]
So we have
[TABLE]
We have
[TABLE]
[TABLE]
Use the same argument as we did for , we can show that is indeed cubic.
4.11. Long time existence
With previous preparations, use standard energy method (similar to those in [52], [45]), we can complete the proof of Theorem 1.2. A minor modification of the argument in §7 -§9 also gives a proof of Theorem 1.2. We omit the details of the proof here.
Remark 4.3**.**
In our set up, we need the periodic solution to have more derivatives than the decaying part . This requirement is of course not optimal. However, it’s enough for us to justify the Peregrine soliton from the full water waves.
Remark 4.4**.**
Theorem 1.2 can be interpreted as: Periodic water wave system is stable under Sobolev perturbation (note that this perturbation is indeed not small relative to the periodic part).
5. Multiscale analysis and the derivation of NLS from full water waves equation
Our goal of this section is to formally derive the NLS from full water waves, which is similar to that in ([45]), except that the water waves we are considering do not vanish at infinity. The method we use to derive the NLS is the multiscale analysis. Let
[TABLE]
Assume that . Assume can be expanded as a power series of , i.e.,
[TABLE]
We assume is wave packet like, i.e., , where for some constants . We don’t assume . Instead, we assume , with independent of , and .
Because is holomorphic, the leading order of must be close to a holomorphic function. If , we the following result:
Lemma 5.1** (Propositioin 3.1 in [45]).**
Let , with , and be given, assume and . Then
[TABLE]
for some constant .
If is oscillating at , we have the following.
Lemma 5.2**.**
Let be a constant and assume , with , and be given. Assume . Then
[TABLE]
for some constant .
Proof.
For , we have
[TABLE]
Therefore, by lemma 5.1 in [45], we have
[TABLE]
∎
Now we are ready to carry out asymptotic expansion and derive the focusing NLS. As in [45], we use the following equation to perform multiscale analysis.
[TABLE]
So we need to expand every quantity/operator as asymptotic series in . These have been done in ([45]). We expand as
[TABLE]
Since and are quadratic and is cubic, we have
[TABLE]
Expand . Then
[TABLE]
See §3.1 in [45] for the derivation of and .
5.1. hierarchy
This simply gives
[TABLE]
5.2. hierarchy
We have
[TABLE]
Since , by Lemma 5.2, we have
[TABLE]
So we have
[TABLE]
Then we get , with . We simply choose , as what we expected.
5.3. level
We need
[TABLE]
Note that
[TABLE]
To avoid secular terms, we choose such that
[TABLE]
This is equivalent to
[TABLE]
So we choose , with , . Note that , so travels at the group velocity.
To choose , we use .
[TABLE]
We choose
[TABLE]
Note that
[TABLE]
5.4. level
First, we need to expand . Since is quadratic, we have . For , we have
[TABLE]
Since is real, we have
[TABLE]
We need also to expand . Clearly, , and . We have
[TABLE]
Since is real, we have .
Use exactly the same calculation as in ([45]), we obtain
[TABLE]
Then for terms, we have
[TABLE]
where . To avoid secular growth, we choose such that
[TABLE]
So solves the focusing cubic NLS. So we have
[TABLE]
From , we have
[TABLE]
We choose
[TABLE]
So we have an approximated solution
[TABLE]
To find , we have
[TABLE]
So we have
[TABLE]
To estimate the error, we write as
[TABLE]
where
[TABLE]
[TABLE]
So is periodic. Also, we decompose as , where
[TABLE]
[TABLE]
So , and is periodic. We choose as
[TABLE]
Notation. Denote
[TABLE]
And recall that the leading order is
[TABLE]
where solves NLS, is a constant, and .
[TABLE]
Because scales like in . In order to observe the modulation of the amplitute, the solution must exist on time interval whose length scales like , i.e., we must have long time existence for the water waves system.
5.5. Well posedness of NLS
Theorem 5.1**.**
Let . There exists such that the cauchy problem
[TABLE]
is locally well-posed on , and satisfies
[TABLE]
For a proof, see for example [18].
Remark 5.1**.**
The global well-posedness of (161) is still open, due to the lack of coercive conservation law. However, because our goal is to control the water wave in scale, and the NLS approximation to full water waves scales like in time, a local well-posedness for NLS is enough for our purpose.
In the following sections, we obtain energy estimates for the remainder terms , respectively. With good energy estimates on the remainder terms, we are able to prove existence of solutions to full water wave equations whose leading term modulated according to the NLS.
6. Energy estimate I:
Because formally, , , and periodic, we have approximate (85) with error , at least formally.
In this section, we obtain a priori energy estimates for the remainder . The idea is the same as that in [45]: use the facts that and approximates up to , respectively, we derive water wave equations for a quantity which is equivalent to . With these equations, we can then obtain energy estimates for on time scale .
Remark 6.1**.**
As before, we use the periodic Hilbert transform. The nonlocal Hilbert transform is used when we estimate the error term .
First, let’s derive water wave equation for .
6.1. Governing equation for
We have
[TABLE]
We split as , where
[TABLE]
[TABLE]
and
[TABLE]
and
[TABLE]
6.2. Governing equation for
We need to derive an equation to control as well. If we use the quantity , then there will be loss of derivatives in energy estimates. So we consider instead the quantity
[TABLE]
We have
[TABLE]
And we have
[TABLE]
[TABLE]
Use alsmost the derivation and the estimates as that in N. Totz and S. Wu’s work ([45]), we obtain the following theorem.
Theorem 6.1**.**
Let . Let be given as in Section 5. There is compatible initial data
[TABLE]
to water waves system (85) such that
[TABLE]
where . Moreover, for all such initial data, there is a a unique solution to (85) on time interval for some such that
[TABLE]
Also, there is some constant such that
[TABLE]
[TABLE]
7. Governing equation for
In this section, we derive a governing equation for the remainder term . Because we need to obtain long time energy estimates for the error term (we’ll prove that the error term has norm in Sobolev space), the nonlinearities of the equations governing has to be at least of fourth order. Since is not obviously fourth order, we find some equivalent quantity of and consider its water wave equation.
7.1. Governing equation for
Recall that
[TABLE]
We have shown that consists of cubic and higher order nonlinearities. Define
[TABLE]
Because approximates to , we expect
[TABLE]
Also, as we can see later, is equivalent to in appropriate sense. So it’s natural to consider . However, is not the boundary value of a holomorhpic function in . There is the trouble of losing derivatives in energy estimates if we use . To resolve this problem, we consider the quantity define by
[TABLE]
Then is holomorphic in .
We show that consists of fourth and higher order terms. The idea is to take advantage of the facts that is approximated by to , so their difference would be of order .
To be precise, because approximate to the order of , we have satisfy (136) to the order of , i.e.,
[TABLE]
where is a known function (in terms of ) which satisfies
[TABLE]
Remark 7.1**.**
Throughout this paper, we’ll use the notation frequently (and sometimes ). It might represent different quantities. However, it always represents a quantity which is in terms of and , and satisfies the estimate
[TABLE]
So we have
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Denote and as follows:
[TABLE]
[TABLE]
Then by (175), lemma 2.6, we have
[TABLE]
Note that is quadratic and is cubic, so we need to explore the cancellations hidden behind when we estimate these terms.
7.2. Governing equation for time evolution of
We need to control as well. Denote
[TABLE]
We know that consists of cubic and higher order terms. Denote
[TABLE]
Then because approximates to , and , we expect . However, is not holomorphic in , which would lose derivatives in energy estimates. So we consider the quantity .
By direct calculation, we have
[TABLE]
and
[TABLE]
So we have
[TABLE]
Then is fourth order. So we have
[TABLE]
We use equations (183) and (187) to study the evolution of . A first step is to construct an appropriate energy which controls certain norm of , and then show that this control exists for a sufficiently long time.
7.3. Construction of energy
In this subsection, we construct energy for the water wave equations (183) and (187). The energy is essentially the same as the energy used by S. Wu in [52] and the energy by N. Totz and S. Wu in [45].
First, let’s recall the basic energy estimates by S. Wu([52]):
Lemma 7.1** (Basic lemma).**
Let satisfies the equation
[TABLE]
and is smooth and decays fast at infinity. Let
[TABLE]
Then
[TABLE]
Moreover, if is the boundary value of a holomorphic function in , then
[TABLE]
Notations: Denote
[TABLE]
Because and are not necessarily holomorphic in , if we decompose them as
[TABLE]
and define
[TABLE]
[TABLE]
Define the energy as
[TABLE]
By lemma 7.1, each is positive. might not be holomorphic in . However, we’ll show that it is still essentially positive. We’ll show that this energy controls .
7.4. Evolution of and
To show that remains small (in the sense of some appropriate norm), we need to show that the energy remains small for a long time. So we need to analyze the evolution of and . Note that
[TABLE]
Similarly, we derive governing equation for . We have
[TABLE]
By basic lemma 7.1, equations (196) and (197), we have
[TABLE]
And
[TABLE]
8. Bound for some quantities
In this section, we obtain bounds for the quantities which will be used in the energy estimates in next section. We bound these quantities in terms of an auxiliary quantity , which is essentially equivalent to the energy .
8.1. An a priori assumption
Let , we make the following a priori assumption
[TABLE]
Remark 8.1**.**
We’ll eventually show that and
[TABLE]
which is much better than (200). Since this a priori assumption is easy to justify by a bootstrap argument, we won’t provide the details for this justification.
Convention. In this and the next section, if not specified, then
[TABLE]
and the bootstrap assumption (200) holds. Here, is the same as that in Theorem 3.2, is the same as that in Theorem 5.1, and is the same as that in Theorem 1.2.
8.1.1. Consequence of the a priori assumption
Lemma 8.1**.**
We have
[TABLE]
Proof.
We have
[TABLE]
So we have
[TABLE]
∎
We’ll need the following lemma. Similar versions of this lemma have been appeared in [52].
Lemma 8.2**.**
Assume the bootstrap assumption (200), let be real functions. Assume
[TABLE]
Then we have for any ,
[TABLE]
8.1.2. The equivalence of and
Lemma 8.3**.**
Assume the a priori assumption (200). We have
[TABLE]
Proof.
We have , and . Recall that . So we have
[TABLE]
We have
[TABLE]
Denote
[TABLE]
So we have
[TABLE]
We are aiming to prove that
[TABLE]
For , we have
[TABLE]
The kernal of is of order one, so it’s easy to obtain that
[TABLE]
Decompose
[TABLE]
Use , , we have
[TABLE]
By the construction of and , we have
[TABLE]
Therefore,
[TABLE]
Since
[TABLE]
and
[TABLE]
we have
[TABLE]
So we obtain
[TABLE]
Use similar argument, we have
[TABLE]
∎
Corollary 8.1**.**
Assume the a priori assumption (200), we have
[TABLE]
8.2. An auxiliary quantity for the energy functional
The energy functional is not very convenient in the energy estimates, so we introduce the quantity
[TABLE]
By (200), we have
[TABLE]
We’ll show that
[TABLE]
and we’ll control in terms of and , then we can obtain energy estimates on a lifespan of lengh . For this purpose, we control the quantities appear in the energy estimates in terms of and .
8.3. Bound , , and
From the definition of and , we have
[TABLE]
and
[TABLE]
It’s not difficult to bound by , and therefore . However, it turns out that we need a bound better than for the quantity .
Because approximates to the order of , we have
[TABLE]
where is a function of such that .
To derive a formula for , we subtract (124) from (229). In order to explore the cancellation relations and obtain good estimates, we group the similar terms together (the terminology ’similar’ should be clear in the context). We obtain the following
[TABLE]
To estimate , we write as
[TABLE]
The terms consist of are ’similar’. The advantages of writing in this form are:
- •
Each contains a factor which is in ( therefore estimate is possible).
- •
Each contains a factor which explores the cancellation relations between the exact solution and the approximation.
8.3.1. Estimate
To estimate , we rewrite the quantity
[TABLE]
Use proposition 2.1 and estimate (203) for , we have
[TABLE]
Here, we have used (see Theorem 6.1)
[TABLE]
8.3.2. Estimate .
For , we write
[TABLE]
Then by proposition 2.1, we have
[TABLE]
8.3.3. Estimate .
Use proposition 2.1, we have
[TABLE]
Here, we’ve used the estimates
[TABLE]
So we have
[TABLE]
Use the same argument, we show that
[TABLE]
[TABLE]
[TABLE]
For , it’s trivially that
[TABLE]
And
[TABLE]
By lemma 8.2, we have
Lemma 8.4**.**
Assume the a priori assumption (200), then we have
[TABLE]
Proof.
From the estimates for , we have
[TABLE]
For small such that , we have
[TABLE]
∎
Corollary 8.2**.**
Under the assumptions of lemma 8.4, we have
[TABLE]
Corollary 8.3**.**
Under the assumptions of lemma 8.4, we have
[TABLE]
Proof.
We write as
[TABLE]
So we have
[TABLE]
∎
8.4. Bound and
From the definition of , it’s easy to obtain that
[TABLE]
To estimate , we need to derive a formula for . Since is real, it suffices to estimate . We have
[TABLE]
For , we have a formula given by (128). Since approximate to the order , respectively, we have the following formula for :
[TABLE]
where satisfies So we have
[TABLE]
where each are given as follows:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
8.4.1. Estimate .
We write as
[TABLE]
The estimates for , and are similar, so we give the details of only. We rewrite as
[TABLE]
For , use (230),
[TABLE]
Use (244), (239), and Corollary 8.2, we have
[TABLE]
For , use proposition 2.1, (239), (8.2), (244), it’s easy to obtain the estimate
[TABLE]
So we obtain the estimate
[TABLE]
Estimates for are similar to that of , we obtain
[TABLE]
So we have
[TABLE]
8.4.2. Estimate .
We rewrite as
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
The estimates for are similar, so we give the details of estimates of only. We rewrite as
[TABLE]
To estimate , we rewrite as
[TABLE]
Lemma 8.5**.**
Assume the a priori assumption (200). We have
[TABLE]
where
[TABLE]
for .
Proof.
We have
[TABLE]
So we have
[TABLE]
We decompose and in a similar way. With these decompositions, the lemma follows easily. ∎
By (264), lemma 8.5, and proposition 2.1, we have
[TABLE]
The estimates for are the same and we obtain
[TABLE]
So we obtain
[TABLE]
Similarly, we have
[TABLE]
[TABLE]
So we obtain
[TABLE]
Similar to the estimates for and , we obtain
[TABLE]
So we obtain
[TABLE]
Therefore,
[TABLE]
8.5. Bound
Indeed, recall that . We show that can be bounded by . Since satisfies the formula (129) for up to , we have
[TABLE]
Subtract (275) from (129), we obtain the following formula for . We group similar terms together and write it in the following manner:
[TABLE]
Note that we can estimate in exactly the same way as we did for the quantity , and we obtain estimate
[TABLE]
can be estimated the same way as we did for the quantity , and we obtain
[TABLE]
Estimates for , and are straight forward , we have
[TABLE]
So we obtain
[TABLE]
Therefore,
[TABLE]
Corollary 8.4**.**
We have
[TABLE]
Corollary 8.5**.**
Assume the a priori assumption (200), then
[TABLE]
Proof.
We have . By Theorem 3.2, . By Corollary 8.4, . Therefore, for sufficiently small, we have (282). ∎
Definition 8.1**.**
Denote by the quantity
[TABLE]
This quantity arises in the energy estimates in the next section, so we need also to bound it in terms of and .
8.6. Bound
We know that:
[TABLE]
where \Big{(}\frac{a_{t}}{a}\Big{)}\circ\kappa^{-1} is given by
[TABLE]
Similarly, we have
[TABLE]
where \Big{(}\frac{(a_{0})_{t}}{a_{0}}\Big{)}\circ\kappa_{0}^{-1} is given by
[TABLE]
For brevity, denote
[TABLE]
Let be the approximation of to the order , and the approximation of to the order . We have formula for and :
[TABLE]
and
[TABLE]
where
[TABLE]
Denote
[TABLE]
Then
[TABLE]
We rewrite in the following form:
[TABLE]
The advantage of writing in this form is that, each can be written in the form , where , and , where , and . Note that we cannot estimate directly in , because might lose one derivative.
8.6.1. Estimate .
First we estimate . We have
[TABLE]
Let be the adjoint of , i.e.,
[TABLE]
Then
[TABLE]
We have , so
[TABLE]
For , use proposition 2.1, we obtain
[TABLE]
Use the fact that , it’s straightforward to prove that
[TABLE]
Next we estiamte , we consider . Note that
[TABLE]
So we have
[TABLE]
For , subtract (287) from (285), and then group similar terms. We have estimated terms of these kinds before, so we omitt the details. We have
[TABLE]
Since , and are quadratic, it’s easy to show that
[TABLE]
Combined the above estimates, we obtain
[TABLE]
So we have
[TABLE]
The quantities and can be estimated in similar manner, and obtain
[TABLE]
So we have
[TABLE]
9. Energy estimates
In Section 7, we derive equations governing the evolution of and , respectively, and define energy for these quantities. In Section 8, we obtain aproiri bounds for some quantities which will be used in energy estimates. In this section, we obtain bounds for the energy . For this purpose, we estimate the quantity appear in , and bound in terms of and . Then we obtain
[TABLE]
Then we show that is essentially controlled by :
[TABLE]
(296) and (297) together give the bound
[TABLE]
on time scale .
9.1. Estimate
It suffices to estimate . Recall that
[TABLE]
First, we rewrite as
[TABLE]
And we rewrite as
[TABLE]
9.1.1. Estimate
We have
[TABLE]
Denote
[TABLE]
We have
[TABLE]
Use (230),
[TABLE]
and proposition 2.1, lemmma 8.4, corollary 8.2, lemma 8.1, corollary 8.3, we have
[TABLE]
So we obtain
[TABLE]
is a singular integral of the form , whose kernel is at least of order two. Note that
[TABLE]
By proposition 2.1, lemma 8.1, corollary 8.3, we have
[TABLE]
The same argument gives
[TABLE]
So we obtain
[TABLE]
We estimate and in the same way as we did for , and obtain
[TABLE]
So we obtain
[TABLE]
So we obtain
[TABLE]
9.2. Estimate
The way we estimate is similar to that of .
[TABLE]
The idea is again to decompose and to explore the cancellations, and then use Proposition 2.1 to obtain appropriate estimates. For example, in the decomposition we’ll obtain terms like
[TABLE]
Then we have
[TABLE]
Other terms can be estimated in a similar way, and we obtain
[TABLE]
9.3. Estimate
Recall that
[TABLE]
We provide the detail for the estimate of
[TABLE]
The estimate for can be obtained in the same way. We have
[TABLE]
By Theorem 3.2, Sobolev embedding, and (274), we have
[TABLE]
By Theorem 3.2, Sobolev embedding, and corollary 8.2, we have
[TABLE]
Estimates for , are similar. So we obtain So we have
[TABLE]
9.4. Estimate
Write as
[TABLE]
where
[TABLE]
and
[TABLE]
Estimates for these two terms are straightforward, we obtain
[TABLE]
9.5. Estimate
Recall that
[TABLE]
To obtain better estimates, we explore the fact that is almot holomorphic in . Write as
[TABLE]
It’s easy to see that
[TABLE]
To estimate , we write
[TABLE]
Note that
[TABLE]
The last three terms are quadratic, and it’s quite easy to see that they are bounded in by
[TABLE]
So to bound , it suffices to bound . We have
[TABLE]
satisfies the estimate
[TABLE]
And
[TABLE]
Note that the first term is zero, while the second term satisfies desired estimates. So we have
[TABLE]
We can estimate in a similar way. So we obtain
[TABLE]
9.6. Estimate
It’s easy to obtain estimate
[TABLE]
Since , we obtain
[TABLE]
9.7. Estimate
We have
[TABLE]
To estimate , we use
[TABLE]
where
[TABLE]
Write . If , then use (274), corollary 8.2, we have
[TABLE]
Similarly, we have
[TABLE]
If and , then we cannot simply estimate in , because if , we’ll lose derivatives. To avoid loss of derivatives, we decompose
[TABLE]
Then for , by corollary 8.1, Theorem 3.2, corollary 8.2, we have
[TABLE]
The quantity can be estimated similarly, and we obtain
[TABLE]
So we have
[TABLE]
We use same argument to obtain
[TABLE]
So we obtain
[TABLE]
Estimate in a similar way, we obtain
[TABLE]
So we have
[TABLE]
So we obtain estimate for : for ,
[TABLE]
9.8. Estimate
In this subsection we obtain estimate for the quantity . Since
[TABLE]
it suffices to estimate .
Recall that
[TABLE]
9.8.1. Estimate
We have
[TABLE]
And
[TABLE]
and are given similarly: For , replace by and replance by in (340). For , replace by , and replace by in (341).
Estimate the quantity
[TABLE]
Rewrite as
[TABLE]
We give details of estimate of only, the estimates for and are similar. Write as
[TABLE]
To estimate , we use (264)
[TABLE]
Denote
[TABLE]
We have the rough estimate
[TABLE]
Decompose as
[TABLE]
Then can be written as
[TABLE]
For , we have
[TABLE]
For , we have
[TABLE]
For , we have
[TABLE]
For , we have
[TABLE]
So we have
[TABLE]
and can be estimated similarly, we obtain
[TABLE]
So we have
[TABLE]
Similarly,
[TABLE]
[TABLE]
So we have
[TABLE]
We can estimate other quantities in similarly, and obtain
[TABLE]
9.8.2. Estimate
We have
[TABLE]
is a known function, it’s easy to obtain that
[TABLE]
The operator
[TABLE]
Then it’s easy to obtain
[TABLE]
So we have
[TABLE]
9.8.3. Estimate
We have obtained estimate for the quantity in the previous section, we have
[TABLE]
Therefore
[TABLE]
So we have
[TABLE]
9.9. Estimate
The way we estimate this term is similar to that of . We omitt the details. We have
[TABLE]
9.10. Estimate and
\left\lVert\frac{1}{\pi i}\int\Big{(}\frac{D_{t}\zeta(\alpha)-D_{t}\zeta(\beta)}{\zeta(\alpha)-\zeta(\beta)}\Big{)}^{2}\partial_{\beta}(\delta-\tilde{\delta})d\beta\right\rVert_{H^{s}}
Estimates of these two quantities are similar to that of , respectively. We have
[TABLE]
Sum up these estimates
Lemma 9.1**.**
We have
[TABLE]
9.11. Estimate the quantity
By (122), lemma 8.2, corollary 8.5, it’s easy to obtain
[TABLE]
9.12. Estimate
Recall that
[TABLE]
So we have
[TABLE]
Decompose . We estimate in while estimate in . By Proposition 2.1,
[TABLE]
We need also to bound . We have
[TABLE]
Write , then use Proposition 2.1 to obtain desired estimates. For example, the term can be estimated as follows
[TABLE]
Similar argument gives
[TABLE]
So we have
[TABLE]
9.13. Estimate
Recall that
[TABLE]
We use the rough estimate for : for ,
[TABLE]
9.14. Estimate
If we use (374) and (376), then
[TABLE]
which is not good enough. So we need to explore the cancellation between and . We have
[TABLE]
For the second term, we have
[TABLE]
For the first term, note that
[TABLE]
We have
[TABLE]
We have
[TABLE]
We have
[TABLE]
By Cauchy integral formula, we have
[TABLE]
So we have
[TABLE]
So we obtain
[TABLE]
The estimate of is almost the same, and we obtain
[TABLE]
Combine (394) and (395), we obtain
[TABLE]
9.15. Control in terms of
To obtain bound on the energy , it’s remaining to bound in terms of . First, we make the following reamrk.
Lemma 9.2**.**
We have for ,
[TABLE]
Proof.
We decompose as in (192). So we have
[TABLE]
Similar to the estimate for and , we have
[TABLE]
[TABLE]
The lemma follows directly from the above three equations. ∎
9.15.1. Bound by and
First we derive equation governing . We have by water waves equation
[TABLE]
[TABLE]
where
[TABLE]
So we have
[TABLE]
with
[TABLE]
We write left hand side of (401) as
[TABLE]
Split , . We write the right hand side of (401) as (omitt the term)
[TABLE]
By (401), (402), and (403), we obtain
[TABLE]
By (280), decompose , it’s easy to obtain
[TABLE]
By corollary 8.4, we have
[TABLE]
By (173) and Sobolev embedding, we have
[TABLE]
Obviously,
[TABLE]
By lemma 8.5 and (274), we have
[TABLE]
Recall that . So .
Use (404), together with (405)-(409), and recall that , we obtain
[TABLE]
Therefore, for sufficiently small, we have
[TABLE]
Now we are ready to bound by .
Lemma 9.3**.**
We have
[TABLE]
Proof.
Step 1. Show that
[TABLE]
See the proof of lemma 8.3.
Step 2. Show that
[TABLE]
Use the fact that is almost holomorphic, similar to the argument in step 1, we have
[TABLE]
To bound in terms of plus an error term, consider
[TABLE]
Use the fact that , we have on one hand,
[TABLE]
So
[TABLE]
On the other hand, use water wave equations
[TABLE]
and the fact that are good approximations:
[TABLE]
with
[TABLE]
Denote . So we have
[TABLE]
We have
[TABLE]
Denote
[TABLE]
We have
[TABLE]
Because we want to get estiamtes in terms of , we rewrite as
[TABLE]
where
[TABLE]
and
[TABLE]
We have
[TABLE]
Combine (418), (419), and (420), use the fact that
[TABLE]
where the norm of the error is controlled by . We obtain
[TABLE]
Combine (415), (416) and (421), we have
[TABLE]
Step 3. Control and by .
By corollary 8.5 and lemma 9.2, we have
[TABLE]
Combine (414) and (422), we obtain
[TABLE]
So we obtian
[TABLE]
∎
Combine (396) and (424), we obtain
[TABLE]
By bootstrap argument, we obtain
Proposition 9.1**.**
Let be given. , and be given in Theorem 5.1. Let , be given by Theorem 3.2, Theorem 1.2, respectively. Denote the solution of (161) with initial data , and let be defined as in (160). Let be given. Suppose . Then there exists a probably smaller so that for all and , we have , where .
10. Justification of the NLS from full water waves
In this section, we show that for non-vanishing wave packet-like data, the solution to the water wave system exists on the time scale, and is well-approximated by the wave packet whose modulation evolves according the the 1d focusing NLS. Let’s summarize what we have done so far:
Use the NLS to construct approximate solutions to the full water waves. Let be a solution to 1d focusing NLS. We show that there is an approximate solution to the water waves system on time scale such that .
- 2.
A priori energy estimate of error term. Also, we show that if is a solution to water waves system, with approximation , then the remainder term satisfies some good energy estimates on time scale .
In the next subsection, we show that there exists initial data such that and are holomorphic, and in appropriate sense.
10.1. Construction of appropriate initial data
In this subsection, we construct initial data to the water waves system which is close to the approximation . To be precise, we need
- (I-1)
, which is equivalent to
[TABLE]
- (I-2)
, such that
[TABLE]
- (I-3)
The distance between and is small:
[TABLE]
[TABLE]
And the distance between and is also small:
[TABLE]
[TABLE]
- (I-4)
, , satisfy the following compatibility condition
[TABLE]
- (I-5)
, , satisfy the following compatibility condition
[TABLE]
In the following lemma, we show that initial data satisfy (I-1)-(I-5) exist.
Lemma 10.1**.**
For sufficiently small , there exist , such that for all , (I1)-(I5) hold.
To prove lemma 10.1, we first prove the following.
Lemma 10.2**.**
Let be such that the for some constant , and . Then there exists be such that is periodic with period 2,
[TABLE]
and , where is holomorphic in the domain bounded above by the curve , satisfying
[TABLE]
In the appendix, we show that if we define and the domain which is below , then is not holomorphic in . So we cannot simply take .
Lemma 10.2 is a direct consequence of the following lemma.
Lemma 10.3**.**
Let and be fixed. There exists be sufficiently small such that for all with , there exists such that , satisfying
[TABLE]
and
[TABLE]
for some constant .
Proof.
We prove the lemma by iteration. It suffices to prove the case that . Let and define
[TABLE]
Then . We have
[TABLE]
Then we have
[TABLE]
From this, we have also that
[TABLE]
We claim that
[TABLE]
and
[TABLE]
Indeed,
[TABLE]
So the induction hypothesis is verified, and the claim follows. So
[TABLE]
There exists such that
[TABLE]
It’s easy to show that and in . Moreover, if we denote , we have
[TABLE]
So the proof of Lemma 10.3 and hence Lemma 10.2 is completed. ∎
With lemma 10.2, we can prove lemma 10.1.
Proof of lemma 10.1.
Given and given by (154)-(156), by Lemma 10.2, there exists with such that and . By Lemma 2.3, we have
[TABLE]
We want to find such that
[TABLE]
Write
[TABLE]
We want
[TABLE]
We simply write as and as . By (433), we expect that
[TABLE]
for some function . By (434), we expect that should be closed to . It’s easy to see that we can take
[TABLE]
Denote . Recall that , so we have
[TABLE]
So we have
[TABLE]
So (435) is equivalent to
[TABLE]
(436) can be solved by iteration: let , . Assume has been constructed, define . Then define by
[TABLE]
Then it’s easy to prove that defines a Cauchy sequence in , given that . See lemma 5.1 of [45] for example.
Use the same argument, we can show that , and (1), (2), (3) hold. (4) and (5) can be proved similarly.
∎
10.2. Long time well-posedness
By energy estimates in the previous section and the initial data constructed above, we can prove the following theorem.
Theorem 10.1**.**
Let , , be given. , with , , and be given in Theorem 5.1. Let be as in Theorem 3.2, and be as in Theorem 1.2. Denote
[TABLE]
Denote the the solution of (161) with initial data , and let be defined as in (160). Then there is so that for , there exists compatible initial data to water waves system such that
[TABLE]
where is a compatible initial data for periodic water waves sytem (85), satisfying
[TABLE]
[TABLE]
and for all such initial data, there exists a possibly smaller such that the water waves system has a unique solution with satisfying
[TABLE]
for some constant .
In particular, if we take to be the Peregrine soliton, then we justify the Peregrine soliton from the full water waves.
10.3. Rigorous justification of the Peregrine soliton in Lagrangian coordinates
Let’s change of variables back the our more familiar lagrangian coordinates. We have . This gives a smooth function . Taking smaller if necessary, it’s easy to show that
[TABLE]
So is a diffeomorphism. Let , be such that , we obtain water waves equation (3), which is in Lagrangian coordinates. We can then obtain estimates for the remainder term in Lagrangian coordinates.
Remark 10.1**.**
In Lagrangian coordinates, becomes . So we have
[TABLE]
We have
[TABLE]
However, it seems that can be as large as on time scale . So we are unable to rigorously justify the modulation approximation for . Please see [45] for more details.
Acknowledgement
The author would like to thank his Ph.D advisor, Prof. Sijue Wu, for introducing him this interesting topic, for many helpful discussions and invaluable comments, and for carefully reading the draft of this paper. The author would like to thank Prof. Peter Miller for providing references regarding NLS with nonzero boundary values at . The author would like to thank Prof. Yongsheng Han for his help. The author would also like to thank Fan Zheng, S. Shahshahani for invalueable comments and Prof. Tao Luo for carefully reading the draft of this paper. This work is partially supported by NSF grant DMS-1361791.
Appendix A Holomorphicity of plane waves
Let , is a small constant, , for simplicity, assume is an integer. Let
[TABLE]
Then is a graph. Let be the region above , and the region below . On one hand, it’ easy to prove that
Lemma A.1**.**
, and are holomorphic in .
On the other hand, we’ll show that cannot be boundary value of a bounded holomorphic function in .
Lemma A.2**.**
If , then cannot be boundary value of a holomorphic function in .
Proof.
If is boundary value of a holomorphic function in , then is entire, and so is entire. Assume , entire. Let . Then is entire, and . So we have
[TABLE]
and are entire, we must have . So and are inverse of each other.
If , then the function has an essential singularity at because does. By Picard’s theorem, attains all values in infinitely many times with at most one exception. Suppose is this exception, i.e., has finitely many solutions (possibly none). But then has infinitely many solutions. Then
[TABLE]
So has infinitely many solutions, a contradiction.
In particular, has infinitely many solutions. So is not invertible, contradiction. ∎
Lemma A.3**.**
If is boundary value of a holomorphic function in , then is also holomorphic in .
Proof.
Let , where is holomorphic in . Then the zeros of is a discrete set, which we denote by . We’ll show that . Since , we have
[TABLE]
Define. Then has boundary value . So is boundary value of a meromorphic function in , with poles at .
Note that has boundary values , and is holomorphic in , by uniqueness extension of holomorphic functions, we must have on .
If , then take . Then since is defined, must be a removable singularity of . However, since is a pole of , so is an essential singularity of , a contradiction. So .
So we conclude that is holomorphic in , and so is holomorphic in . ∎
Corollary A.1**.**
* cannot be the boundary value of a holomorphic function in if .*
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