Infinite dimensional symplectic capacity and nonsqueezing property for the Zakharov system on the -dimensional torus
Abstract.
We prove the invariant of the symplectic capacity for the Zakharov system on a torus. If the Zakharov solution map is well-defined, then it can be regarded as a symplectomorphism. Thus, we first show the global well-posedness via the local well-posedness and the conservation law. The invariant of the symplectic capacity can be obtained using an approximation method. Many authors use an approximation method to obtain the nonsqueezing theorem, instead of an invariant of the symplectic capacity. However, the conditions of the Hamiltonian system introduced by Kuksin can be relaxed by a new modified infinite dimensional Hamiltonian system. Thus we can back to the symplectic capacity which contains the nonsqueezing property. Heuristically, we obtain the invariant by using the Hamiltonian system which has linear flow at high frequencies and nonlinear flow at low frequencies.
Key words and phrases:
Zakharov system, Hamiltonian system, symplectic capacity, nonsqueezing property2010 Mathematics Subject Classification:
Primary 35Q53Sunghyun Hong111Email address: shhong7523@gmail.com
1. Introduction
In this paper, we consider the Zakharov system
(1.1) |
where and are positive real constants, respectively. The functions and are complex valued and real valued, respectively. The Zakharov system (1.1) enjoys conservation laws,
(1.2) |
and
(1.3) | ||||
The first (1.2) is called the mass conservation law and the second (1.3) is called the Hamiltonian. They are important tools for showing global well-posedness and to define the symplectic capacity, respectively. From (1.1), we have
and so
where
Hence, we denote
(1.4) |
then and are also the solutions to (1.1), and
If initial data , have general mean, then one can easily change the data into the mean zero data by (1.4). Therefore, it will be convenient to work in the case when initial data , have mean zero.
The system (1.1) was introduced by Zakharov [Zakharov:1972tz]. It represents the propagation of Langmuir turbulence waves in unmagnetized ionized plasma [Zakharov:1972tz]. In the system, expresses the slowly varying envelope of the electric field and describes the deviation in ion density from its mean. The constant is a dispersion coefficient and the constant is the speed of an ion acoustic wave in plasma.
There are many results for the symplectic capacity and the nonsqueezing theorem for the infinite dimensional Hamiltonian system. The symplectic capacity was introduced by Ekeland and Hofer [Ekeland:1989dh, Ekeland:1990is] for , and by Hofer and Zehnder [Hofer:1990ul, Hofer:2011vo] for -dimensional general symplectic manifolds. It was developed from the Darboux width, which was discovered by Gromov [Gromov:1985ww]. Kuksin [Kuksin:1995ue] was the first contributor of the infinite dimensional symplectic capacity for Hamiltonian Partial Differential Equations(PDEs).
Kuksin’s concept, of course, is based on the finite dimensional symplectic capacity which was developed by Hofer and Zehnder. Indeed, Kuksin proved an invariance in the symplectic capacity for particular Hamiltonian flow, and so he also captured its nonsqueezing property. Furthermore, he introduced an abstract method in which the Hamiltonian flow on the appropriate function space can be regarded as a symplectic map. Although there are results which have applied this condition [Kuksin:1995ue, Roumegoux:2010sn], Kuksin’s condition for solution flow is somewhat strong. Thus, many contributors to this issue have turned to the nonsqueezing theorem for specific equations.
To prove the nonsqueezing results for Haimtonian PDEs, one of the main steps is to find a ‘good’ truncation. Besides, the given Hamiltonian system turns out to be well-behaved with ‘good’ frequency truncations. There are two techniques for the truncation, the methods of [Bourgain:1994tr] and [Colliander:2005vv]. In [Bourgain:1994tr], Bourgain proved the nonsqueezing theorem of the cubic nonlinear Schrödinger equation (NLS) in its phase space space. A sharp frequency truncation and the space were used to approximate the original solution. Later, this argument was extended by Colliander et al. [Colliander:2005vv] for the KdV equation in its phase space . The argument in [Colliander:2005vv] is more complex than the one in [Bourgain:1994tr]. They used a smooth truncation, and also used the Miura transform which changes the KdV flow to a mKdV flow. Indeed, they showed an approximation using truncated mKdV flow and used Miura transform and its inverse. In this way, they obtained the estimate for the KdV flow. We use the methods of Bourgain [Bourgain:1994tr] instead of the method of Colliander et al. [Colliander:2005vv], because the modulation effects from the non-resonant interaction of (1.1) is better than that of the KdV equation. In Section 4, we show the bilinear estimates produced by these modulation effects and a similar calculation in [Colliander:2008cq, Takaoka:1999uw]. Specifically, bilinear estimates are needed to approximate the truncated solution flow, and this is stronger than the estimates of [Takaoka:1999uw] to prove the local well-posedness. Hong and Kwak [Hong:2016fn] extended the result to the higher-order KdV equation, and Mendelson [Mendelson:2014vh] also showed the nonsqueezing of the Klein-Gordon flow on via a probabilistic approach. Moreover, Kwak [Kwak:2017wb] proved the nonsqueezing and the local well-posedness for the fourth-order cubic nonlinear Schrödinger equation on a torus. Recently, Killip et al. [Killip:2016vd, Killip:2016wj] proved the nonsqueezing theorem of the cubic NLS equation on a real line and a plane, respectively. These results are the first nonsqueezing study for an unbounded domain.
Nevertheless, we want to go back to the ‘capacity’ beyond ‘nonsqueezing.’ There are some results that are independent of the nonsqueezing theorem. For example, Abbondandolo and Majer [Abbondandolo:2015cb] constructed the symplectic capacity on a convex set in the Hilbert space without the approximation approach. However, we focus on the relaxation of Kuksin’s condition. As a result, we obtain a symplectic capacity for the Zakharov system flow which does not satisfy Kuksin’s condition. In particular, there is no nonsqueezing result associated with the Zakharov flow. Moreover, we do not even know the global well-posedness for the symplectic Hilbert space . We use the appropriate frequency truncation and approximate the finite dimensional solution to the original infinite dimensional solution, preserving the symplectic form. These are nontrivial facts, because the nonlinear terms in the Zakharov system does not satisfy Kuksin’s results. To overcome these obstacles, we need to prove that the frequency truncated solution flow well-approximates to the original solution flow. In addition, the truncated flow should be a Hamiltonian flow. We now introduce the main result.
Theorem 1.1.
Assume that is not an integer. Let be the Zakharov flow map at time . For any bounded domain in , we have
where is the infinite dimensional symplectic capacity.
For the solution map to exist as the symplectic map for any , we should have the global well-posedness in the phase space as follows.
Theorem 1.2.
Assume that is not an integer. The initial value problem (1.1) is globally well-posed for any .
Theorem 1.2 can be proved by combining the local well-posedness with the mass conservation of (1.2). The details are in Section 5. It is the Duhamel’s formula for (1.1) which can be written as follows,
(1.5) | ||||
(1.6) |
where and . We denote the solution to (1.1) by
Thus, we also have as the solution flow to (1.1). In the same way as here, we will use bold fonts to present vectors in the appropriate space. The spatial Sobolev space is given by
for , where . Let be the symplectic Hilbert space , and
We also define the absolute value in by
for fixed frequency component .
From Theorem 1.1, we can consider the nonsqueezing theorem of the Zakharov system as well. We first define a ball and a cylinder in the function space .
Definition 1.3.
Let be an infinite dimensional ball in which has the radius and is centered at . That is,
For any , is defined an infinite dimensional -th cylinder in which has the radius and is centered at . That is,
where .
The nonsqueezing property of the Zakharov system is as follows,
Corollary 1.4.
Let , , , and . Then
In other words, there is a solution to (1.1) and such that
and
where is the spatial Fourier transform.
Remark 1.5.
There are no smallness conditions imposed on , , or in Corollary 1.4.
Corollary 1.4, the symplectic nonsqueezing theorem, tells us the Zakharov flow cannot squash a large ball into a narrow cylinder, despite the fact that the cylinder has infinite volume.
2. Notations and Function spaces
In this section, we introduce notations to discuss our argument. The spatial Fourier transform, the space-time Fourier transform and the inverse Fourier transform are defined as follows,
We also introduce function spaces. First of all, we use the spaces (the Bourgain spaces) which are defined by the following norms,
Note that the first and the second are associated with Schrödinger flow and wave flow, respectively. Using the spaces, we define , , and spaces for the solution and the nonlinear terms,
we give some embeddings for the and spaces
(2.1) | ||||
in a compact time interval by the Hölder inequality. To simplify notations, spaces would be
For each dyadic number , we denote the Littlewood-Paley projection by
(2.2) |
where is a characteristic function on .
We call a connected open set a domain. For an nonempty domain and , we denote
and observe that
For , denotes for some and means and . Using this, we denote by for positive real-valued functions and . Moreover, denotes for small positive constant . Let and the quantities can be defined to be the maximum, median and minimum values of , respectively.
3. Symplectic capacity for Hilbert space
We begin with the definition of the symplectic Hilbert space . Let be a symplectic form as follows,
(3.1) |
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Let be an almost complex structure on which is compatible with the Hilbert space inner product . In other words, a bounded self adjoint operator with such that for all . One easily checks that the Zakharov system can be written in the form
(3.2) |
where . The notation in (3.2) denotes the usual gradient with respect to the Hilbert space inner product. Hence, we have
(3.3) | ||||
Definition 3.1.
Consider a pair , where is a symplectic form (3.1) on the Hilbert space . We say that the pair is the symplectic phase space for the Zakharov system.
One easily check that an equivalent way to write the Zakharov system corresponding to the Hamiltonian 1.3 in is
(3.4) |
where the symplectic gradient is defined an analogy with (3.3),
Therefore, we can consider as the phase space. In the phase space, we can consider an invariance of the symplectic capacity by the Zakharov solution flow.
In the following, we introduce the infinite dimensional symplectic capacity which was introduced by Kuksin [Kuksin:1995ue]. The symplectic capacity was first discovered by Ekeland and Hofer [Ekeland:1989dh, Ekeland:1990is] in and was developed by Hofer and Zehnder [Hofer:2011vo]. Specifically, it is a symplectic invariant and the proof of existence is based on the variational principle.
Definition 3.2 (Symplectic capacity).
A symplectic capacity on the phase space with respect to 1.1 is a function defined open subset which takes values in and has the following properties:
-
i)
Translational invariant:
-
ii)
Monotonicity: Let and be open sets in .
-
iii)
2-homogeneity: For ,
-
iv)
Nontriviality: For bounded nonempty set ,
-
v)
For an -ball in and a -th cylinder which has radius in ,
We point out two notable remarks. Combining ii), v) and the invariant of the symplectic capacity, we can get the nonsqueezing theorem for a Hamiltonian flow. Moreover, we note that the symplectic capacity does not determine a unique capacity function. We, thus, have many ways to construct capacity functions, but we follow [Kuksin:1995ue]. To construct a capacity function, we first introduce few definitions.
Definition 3.3 (Admissible function).
Let be a simply connected open set in the phase space (we call it domain in the sequel). Assume that a function is a smooth function in , and . The function is called -admissible if
-
i)
in ,
-
ii)
in a nonempty subdomain of ,
-
iii)
,
-
iv)
The set is bounded, and the distance from this set to is strictly positive, i.e., .
For each -admissible function, we denote
and so we have
(3.5) | |||
(3.6) |
Let be integer. By using the Fourier basis and restricting the form , we see that the truncated phase space is a -dimensional real symplectic space, and so is symplectomorphic to the standard phase space by Darboux theorem.
Definition 3.4 (Fast function).
Let be a frequency truncated function. We consider the corresponding symplectic Hamiltonian vector field in . In other words, for ,
We call a periodic trajectory of a ‘fast trajectory’ if it does not pass through a stationary point and the period . Furthermore, a -admissible function is called ‘fast’ if there exists such that for all the vector field has a fast trajectory.
A fast -admissible function has a notable property which comes from its definition,
Lemma 3.5 (Kuksin [Kuksin:1995ue]).
All fast periodic trajectories in are contained in
This lemma can be proved by the definition of the fast trajectory and the fact that the derivative of is zero in the complementary set of . We next introduce a definition of the (infinite dimensional) symplectic capacity.
Definition 3.6 (Infinite dimensional symplectic capacity, Kuksin [Kuksin:1995ue]).
For a nonempty domain , its symplectic capacity equals
From [Kuksin:1995ue], we already have that the symplectic capacity satisfies Definition 3.2. Note that the capacity depends on the consecutive subsets of the space .
4. Basic estimates
In this section, we show estimates to prove Theorem Theorem 1.1 and 1.2. First of all, we recall the lemma regarding the linear estimates.
Lemma 4.1.
Let such that on and outside of . We have
where and .
Lemma 4.1 will be used for the contraction mapping principle, and so it is well-known estimates. For that reason, we omit the proof of Lemma 4.1, but it can be found in [Bourgain:1993hz, Bourgain:1993cl, Bourgain:1994ej, Colliander:2008cq, KENIG:1996tq, Kenig:1996bu].
From now on, we discuss bilinear estimates with respect to the Schrödinger and the wave flow. Define the resonant set and nonresonant set as follows,
Proposition 4.2.
Let be dyadic numbers, and . Assume that is not an integer,
(4.1) |
and
(4.2) |
for sufficiently small .
Proposition 4.3.
Let be dyadic numbers and . Assume that is not an integer,
(4.3) |
and
(4.4) |
for and sufficiently small .
Takaoka [Takaoka:1999uw] proved these type estimates (without dyadic decompositions) using the arguments in [KENIG:1996tq, KENIG:1993ts], but we have to show slightly stronger estimates for the approximation step in the proof of Theorem 1.1. In addition, we prove the propositions using a little simpler argument in [Tao:2001tu] than in [Takaoka:1999uw, KENIG:1996tq, KENIG:1993ts]. Roughly, Proposition 4.3 can be deduced by observation of the intersection of hyperspace (a function be chosen by each equation). We first have the following algebraic results for observation of resonant relations.
Lemma 4.4.
Let be the sign function. Then
i) Let , ,
(4.5) |
for .
ii) Let , ,
(4.6) |
for .
Proof.
We first prove i). From the support of time and spatial frequencies,
Similarly,
Therefore, we are done. ∎
We can obtain Proposition 4.2 by the similar argument of Proposition 4.3, so we first prove the latter.
Proof of Proposition 4.3.
Let and . To prove (4.3) and (4.4), we are going to show the part and part respectively. However, essential ideas are similar. From [Bourgain:1993hz], we have the Strichartz estimate for the Schrödinger equation,
(4.7) |
which will be used many times in the following calculation. We first consider the part of (4.3). The left hand side of (4.3) can be rewritten by the Plancherel theorem, so our claim is
(4.8) |
- i)
-
ii)
Without loss of generality, we may assume that . From (4.5) again, the left hand side of (4.8) is bounded byso the claim is
(4.9) Again, we have and in the former case, but we prove in a different way from i). There are several subcases. We first consider . Since , we have that is similar to . Thus, the left hand side of (4.9) is bounded by
By duality, the claim equivalent to
From the Hölder inequality, (4.7) and the Sobolev embedding with the time translation,
for sufficiently small . The remaining cases are or . Then we have
(4.10) or
(4.11) Thus, the left hand side of (4.9) is bounded by
(4.12) for both cases. By a similar calculation of the former case, we get the goal. More precisely, we need to show that
By the Hölder inequality, (4.7), and the Sobolev embedding,
We now consider part,
(4.13) |
First of all, from the Cauchy-Schwarz inequality and the fact that
We can use a similar calculation of part. More precisely, we can write our claim is,
(4.14) |
The worst case is and . By Lemma (4.5), the left hand side of (4.14) is bounded by
We use (4.10) or (4.11) again, so it is bounded by (4.12).From here, we can use the Hölder inequality, 4.7, and the Sobolev embedding. Since , the remaining cases can be proved by the similar process with part.
Proof of Proposition 4.2.
Note that Proposition 4.2 has the time growth instead of the frequency decay. Hence, we need the following lemma.
Lemma 4.5 (Lemma 2.11, [Tao:2006tn]).
Let be a Schwartz function in time and be a time interval. If , then for any interval such that , we have
Proof.
By duality, we may assume that . From the Christ-Kiselev lemma, we suffices to show that
From the following estimate,
we have
Since is a Schwartz function,
To simplify our argument, we first assume that . Moreover, we may assume by the duality with case. Thus, our claim is
for . We now consider two cases separately, and . In the former case, we have
by the fact that is a Schwartz function and . In the latter case, we have
by the Plancherel and the triangle, the Cauchy-Schwarz, and the fact that is a Schwartz function.
Since the above argument does not depend , we can get the same result in . ∎
5. Global well-posedness
In this section, we prove Theorem 1.2, the global well-posedness for (1.1). It can be easily proved by combining the local well-posedness and the conservation law. More precisely, after splitting the time interval as a finite union of intervals (obviously, the length of each interval depends on (1.2)), we get the solution for each interval by the local well-posedness (see [Takaoka:1999uw]) and glue each solution by using the mass conservation law of . In particular, the nonlinear term of the wave part only consists of , so the mass conservation of is sufficient to glue each solution222The details of this argument are in [Colliander:2008cq]. In fact, Colliander et al. [Colliander:2008cq] proved the global well-posedness of the Zakharov system on , but we can apply a similar argument to a torus..
We briefly explain a sketch of the proof of Theorem 1.2. It is sufficient to prove that
(5.1) |
and
(5.2) |
for any . To prove (5.1) and (5.2), we define the norm as follows,
(5.3) |
Let be a constant, we can choose a sufficiently small time such that
(5.4) | ||||
(5.5) |
and
(5.6) |
by (1.2). From (5.3), (2.1), (1.6), the triangular inequality, Lemma 4.1, (4.17), and (5.4), we estimate
(5.7) | ||||
From (5.5), we have
(5.8) |
and by the similar calculation with (1.5),
(5.9) |
for sufficiently small 333In (5.9), the time is the same as in (5.8) because it is obtained by the local well-posedness, the fact that the nonlinear term of the Schrödinger part has , (5.4) and (5.8)..
We now consider the gluing step. For any time , we divide the total time interval into time intervals such that each interval satisfies (5.8) and (5.9). In the first such interval , we directly obtain (5.1) and (5.2), and in the next interval, we let be the initial time and then obtain the claim by (1.2). Hence, we can use the same iteration up to . By taking this time as the initial time , we can repeat the entire procedure again. To reach the given time , we need to show that time is independent of . From the final term in (5.7) and (5.5), we can iterate -times such that
and from (5.6), we have
which is independent of . Therefore, we are done.
6. Proof of Theorem 1.1
In this section, we prove Theorem 1.1, the invariant of symplectic capacity with respect to the Zakharov flow.
6.1. Local approximation
We introduce a new system as follows,
(6.1) |
for the initial data . Let be a solution flow with respect to (6.1), and its Hamiltonian is
Note that the new system (6.1) has the same nonlinear operator in the low frequencies, and a linear operator in the high frequencies. Hence, the solution map is a smooth symplectomorphism with the symplectic form (3.1) on the Hilbert space , and the new system has the global well-posedness as well.
Proposition 6.1.
For a global-in-time and any large integer . The initial data is in . Assume that and be the Zakharov flow and the solution flow for (6.1), respectively. Then we have
for a local-in-time and .
Proof.
We denote that , and . From the global well-posedness, there exists constant such that
(6.2) |
We split the solution into two portions as follows,
By (6.2), we also have
Likewise, is also split, and is bounded by for each flow. Especially, and are linear flow by the definition of the new Hamiltonian system flow. By the structure of the wave part and (2.1),
The right hand side is bounded by
by the Duhamel’s formula and the fact that the initial data is same. We first estimate the Schrödinger part. By Lemma 4.1 and the Minkowski inequality, we have
(6.3) | ||||
We apply (4.3) to the first term, and (4.1) to the second term and the third term, thus the right hand side of (6.3) is bounded by
By the global well-posedness (6.2), we have the estimate for the Schrd̈inger part as follows,
By the similar calculation with (4.4), (4.2), and the global well-posedness, the wave part is bounded as well. Indeed,
Therefore, we have
Thus, choosing local-in-time such that , we have
∎
Remark 6.2.
The local-in-time in Proposition 6.1 does not depend on frequency . We thus conclude that the map is regarded as a small perturbation in a sufficiently short time interval.
6.2. Proof of symplectic invariant
We separate the solution flow, and use an iteration argument. There exists a local time length such that the Zakharov flow satisfies Proposition 6.1. The global time interval is split to , and length of each interval is the constant that depends only on the implicit constant in Proposition 6.1.
Let be a initial domain which contains the initial data . Likewise, we denote that is a domain which has the solution .
FIRST STEP (Local-time symplectic invariant)
We first prove that
(6.4) |
Let be a -admissible function in such that . From the Definition 3.6, it suffices to show that the function is a fast function in . Since the fact that the initial domain is bounded and the Zakharov system has the global well-posedness, the domain is a bounded domain as well. Denoting , we have by Definition 3.2. Define , we can get a sufficiently large integer such that
where is the implicit constant in Proposition 6.1. The Zakharov flow is decomposed to
where is an identity map from to , and the map is the solution map for (6.1). Note that and are smooth symplectomorphisms. In the low frequencies, the solution map is composite operator with linear and nonlinear solution operators which is a finite dimensional symplectomorphism. In the high frequencies, the map are linear solution operator only, and they are isometries on the symplectic Hilbert space . Hence, the classes of -admissible functions are preserved by . We thus show that
(6.5) |
where a domain . By the decomposition of the Zakharov flow, we have
Since an inverse operator is also bounded, the operator has an estimate
(6.6) |
for the constant by Proposition 6.1.
Let be a vector fields of the function . It suffices to show that the vector field have a fast trajectory in the domain , for large integer . The function is extended as outside , and provides an extended smooth function in . Moreover, let be a function which is restriction to . Since the operator has a estimate (6.6), the -neighborhood of is enclosed in the -neighborhood of , where . Furthermore, we have by (3.5). In other words, is equal to . Hence, the function is an -admissible function in . Since , the vector field has a fast trajectory in for all . By Lemma 3.5, this trajectory lies in , which equals by (3.6). Therefore, the vector field has a fast trajectory in for all . That is, the function is fast in .
The opposite case can be shown by the same argument for the inverse operator. Therefore, we have
for the local time .
SECOND STEP (Iteration step)
Fix a domain for any time , we can get an appropriate constant which is depended on . Thus we have , and so we show that the symplectic capacity is preserved for by the similar argument of the first step, since the constant is independent of the local time length . Repeating the process, we have that the Zakharov flow preserves the symplectic capacity is its the phase space for the given global-time .