We present lower bounds for the uniform radius of spatial analyticity of solutions to the fourth-order nonlinear Schrödinger equations. The main ingredients in the presentation of our results are a method of approximate conservation law in modified Gevrey spaces, Strichartz-type estimates, and Sobolev embedding.
Consider the Cauchy problem for the fourth-order nonlinear Schrödinger equations (p-4NLS)
where for , and is a complex-valued function. The fourth-order Schrödinger equation has been introduced by Karpman (1996) and Karpman and Shagalov (2000) to take into account the effect of small fourth-order dispersion terms in the propagation of intense laser beams in a bulk medium with Kerr nonlinearity. The mass and energy
The well-posedness of the Cauchy problem (p-4NLS) with data in the Sobolev spaces was studied extensively. In particular, Guo (2010) established a global well-posedness result in for
such that In a paper, Başakoğlu et al. (2023) on arxiv, the authors improved the result of Guo for initial data with Sobolev regularity . In fact, the result in Başakoğlu et al. (2023) covers the cubic and quintic 4NLS equations. Our interest here is to study the asymptotic lower bound of spatial analyticity for solutions to the Cauchy problem (p-4NLS). For a given real analytic initial data that has an analytic extension to a complex strip of width , we need to check whether the solution is analytic or not in a complex strip of width for all time . We also estimate the lower bound of the radius of spacial analyticity at each time . A class of analytic functions space suitable to the study of the spatial analyticity of the solution is analytic Gevrey space , which was introduced by Foias and Temam (1989). This space is defined by the norm
where and denotes the spatial Fourier transform of given by
For , the space coincides with the Sobolev space endowed with the norm
while for , any function in has a radius of analyticity of at least at each point . Of course, this fact is contained in the Paley–Wiener Theorem, whose proof can be found in Katznelson (1976) for and , which applies also for and with some modification.
Let . Then, a function if and only if it is the restriction to the real line of a function , which is holomorphic in the strip
As a consequence of this, the and -norms are equivalent. That is
and hence the statement of Paley–Wiener Theorem still holds for functions in . The reason for considering the -spaces is that satisfies the estimate
which follows from
In view of (2), an application of approximate conservation law in the modified Gevrey spaces can be used to provide a decay rate of order for some .
The modified Gevrey spaces satisfy the following embedding property: For all and , we have
In particular,
As the consequence of the property (3) and the existing well-posedness theory in , the Cauchy problem (p-4NLS) with initial data for all has a unique and global in time solution.
Let for . Then the global solution of (p-4NLS) satisfies
with the radius of spatial analyticity satisfying an asymptotic lower bound
where is a constant depending on the initial data norm.
By time-reversal symmetry of (p-4NLS), we may from now on restrict ourselves to positive times . The first step in the proof of Theorem 1.1 is to show that in a short time interval , the radius of analyticity remains strictly positive, where depends on the initial data norm. This is proved by a contraction mapping argument involving energy estimates, Hölder’s inequality, Sobolev embedding, and Strichartz-type estimates, which will be given in the next section. The next step is to improve the control on the growth of the solution in the time interval , measured in the data norm . To achieve this, we show that, although the conservation of -norm of solution does not hold exactly, it does hold in an approximate sense. This approximate conservation law will allow us to iterate the local result and obtain Theorem 1.1.
Notation: Throughout this paper, we use to denote various constants whose values do not affect the result of our work and may vary from one line to the next line. For any positive quantities and , we use if , and if . Moreover, we write if there is a small enough such that .
Preliminaries
In this section, we discuss the function spaces, linear estimates, and bilinear estimates, which are utilized in the sequel.
Function Spaces
The Bourgain space associated with (p-4NLS) is defined to be the completion of the Schwartz space with respect to the norm
and the restriction to time slab of the Bourgain space, denoted , is a Banach space when equipped with the norm
Here , , and denote the space–time Fourier transform of given by
For and , from the spatial Sobolev embedding, we have
Here, we used the notations and . In particular, for , we have
where .
We also need the Grevey–Bourgain space denoted defined by the norm
where with Fourier symbol . In the case , the Gevrey–Bourgain space coincides with the Bourgain space. Moreover, the restriction to time slab of the Gevrey–Bourgain spaces is denoted by , which is a Banach space equipped with the norm
Space–Time Estimates
Consider the linear Cauchy problem, for given and
whose solution is given by Duhamel’s integral formula
where is the free wave defined via its Fourier transform as . Then, the free wave satisfies the following space–time estimates.
Here, we used the notation , , and the constant depends on and .
From Lemma 2.1 and a standard transference principle, it is standard to deduce the following space–time estimates:
for and as in Lemma 2.1. In particular, for the biharmonic admissible pair satisfying , we have
The next four lemmas are key properties of -spaces. Proofs of these lemmas can be found in Tao (2006) for , while for , the properties of and its restrictions carry over to because of the substitution .
Let , and . We have
where is a constant depending only on .
Let , and . Then
where is the characteristic function of and is a constant depends only on .
Let , , , and . Then, for all and , we have the estimates
Local Well-Posedness Result
In this section, we use the contraction mapping principle, and one-dimensional Sobolev embedding to prove local well-posedness of the Cauchy problem (p-4NLS) in for .
Let be an odd integer and . Given , then, there exists a time and a unique solution of the Cauchy problem (p-4NLS), where the existence time is given by
Moreover, the map from data to solution is continuous, and for the solution satisfies the bound
where is a constant depending only on .
The following lemma helps us to prove Theorem 3.1.
By applying to (7) and taking the norm on both sides for , we obtain the energy inequality
Now, we use the following lemma to estimate the nonlinear term in (15).
Let and for . Then, for any , we have the nonlinear estimate
Setting and applying Plancherel’s theorem, (16) reduced to
By applying Plancherel’s theorem, Hölder’s inequality, and two-dimensional Sobolev embedding, the left-hand side (LHS) of (17) is estimated as
where is the hyperplane defined by and . In fact, to obtain the third line, we used the following estimate from Dufera et al. (2022):
For any , it follows from (15), Lemma 3.2 and (21) that
which implies that is a contraction map on . So by the contraction mapping principle, the Cauchy problem (p-4NLS) has a unique solution in with existence time as in (21). Continuous dependence on the initial data can be shown in a similar way, using the difference estimate. This concludes the proof of Theorem 3.1.
Approximate Conservation Law
For the existence of a global solution, we will apply the local well-posedness result repeatedly to cover time intervals of arbitrary length. The following approximate conservation law will allow us to repeat the local result on successive short time intervals to reach any target time , by adjusting the strip width according to the size of . To do this, define the function by
and then applying to both sides of (p-4NLS) to obtain
where
Now, define a modified massenergy functional associated with by
Since and , we have the conservation
However, for , the modified massenergy functional fail to be conserved in time and we will prove an approximate conservation law by establishing a growth estimate. To do this, we first differentiating , and then using (22) and (23) and integration by parts, we obtain
Finally, use (36) in (29) and (30). Then, plugging the result into (25) gives the desired estimate in Theorem 4.2.
Proof of Theorem 1.1
Suppose that for some . Then . From two-dimensional Sobolev embedding, we have , and hence we get
Following the argument used in Tesfahun (2017) (see also Selberg & da Silva, 2015; Selberg & Tesfahun, 2015), we can construct a solution on for arbitrarily large time , by applying the approximate conservation law in Theorem 4.2 so as to repeat the local result on successive short time intervals of size to reach , by adjusting the strip width according to the size of . In doing so, we establish the bound
for satisfying
Hence, we have for all , which implies , and this concludes the proof of Theorem 1.1.
Footnotes
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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