Abstract
In this note, we give an alternative proof of the theorem on soliton selection for small-energy solutions of nonlinear Schrödinger equations (NLS) studied in (Cuccagna and Maeda, Anal PDE 8(6):1289–1349, 2015; Cuccagna and Maeda, Ann PDE 7:16, 2021). As in (Cuccagna and Maeda, Ann PDE 7:16, 2021), we use the notion of refined profile, but unlike in (Cuccagna and Maeda, Ann PDE 7:16, 2021), we do not modify the modulation coordinates and do not search for Darboux coordinates.
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1 Introduction
In this note, we give an alternative and simplified proof of the selection of small-energy standing waves for the nonlinear Schrödinger equation (NLS)
where H := −Δ + V is a Schrödinger operator with \(V\in \mathcal S({\mathbb R}^3,{\mathbb R})\) (Schwarz function) and \(g \in C^\infty ({\mathbb R},{\mathbb R})\) satisfies g(0) = 0 and the growth condition:
We consider the Cauchy problem of NLS (1) with the initial condition \(u(0)=u_0 \in H^1({\mathbb R}^3,\mathbb {C})\). It is well known that the NLS (1) is locally well posed (LWP) in \(H^1:=H^1({\mathbb R} ^3, \mathbb {C} )\), see, e.g., [2, 7]. It is also easy to conclude, by mass and energy conservation, that for small initial data u 0 ∈ H1 the corresponding solution is globally defined.
The aim of this chapter is to revisit the study of asymptotic behavior of small (in H1) solutions when the Schrödinger operator H has several simple eigenvalues. In such situation, it has been proved that the solutions decouple into a soliton and a dispersive wave [3, 11, 13]. More recently, in [4], we have introduced the notion of refined profile, which simplifies significantly the proof of the result in [3]. In this note, we exploit the notion of refined profile of [4], but we give an alternative proof of the result in [4] that does not exploit directly the Hamiltonian structure of the NLS. In this sense, in this chapter, we are closer in spirit to Soffer and Weinstein [11] and Tsai and Yau [13], but our proof is at the same time simpler and with stronger results.
To state our main result precisely, we introduce some notation and several assumptions. The following two assumptions for the Schrödinger operator H hold for generic V .
Assumption 1
0 is neither an eigenvalue nor a resonance of H. □
Assumption 2
There exists N ≥ 2 s.t.
where σ d(H) is the set of discrete spectra of H. Moreover, we assume all ω jare simple and
where ω := (ω 1, ⋯ , ω N). We set ϕ jto be the eigenfunction of H associated to the eigenvalue ω jsatisfying \(\|\phi _j\|{ }_{L^2}=1\) . We also set ϕ = (ϕ 1, ⋯ , ϕ N). □
Remark 1
The cases N = 0, 1 are easier and are not treated it in this chapter. Unfortunately, Assumption (2) excludes radial potentials V (r), for r = |x|, where in general we should expect eigenvalues with multiplicity higher than one.
As it is well known, the ϕ j’s are smooth and decay exponentially. For s ≥ 0, γ ≥ 0, we set
The following is well known.
Proposition 1
There exists γ 0 > 0 s.t. for all 1 ≤ j ≤ N; we have \(\phi _j\in \cap _{s\geq 0}H^s_{\gamma _0}\).
Using γ 0 > 0, we set
We will not consider any topology in Σ∞, and we will only consider it as a set.
In order to introduce the notion of refined profile, we need the following combinatorial setup, exactly that of [4].
We start with the following standard basis of \({\mathbb R} ^N\), which we view as “non-resonant” indices,
More generally, the sets of resonant and non-resonant indices R, NR, are
where \(\sum \mathbf {m}:=\sum _{j=1}^N m_j\) for \(\mathbf {m}=(m_1,\cdots ,m_N) \in {\mathbb Z}^N\).
From Assumption 2, it is clear that \(\{\mathbf {m}\in {\mathbb Z}^N\ |\ \sum \mathbf {m}=1\}=\mathbf {R}\cup \mathbf {NR}\) and NR 0 ⊂NR. For \(\mathbf {m} =(m_1,\cdots , m_N)\in {\mathbb Z}^N\), we define
and introduce partial orders ≼ and ≺ by
where n = (n 1, ⋯ , n N). We define the minimal resonant indices by
We also consider NR 1, formed by the non-resonant indices not larger than resonant indices:
Both R min and NR 1 are finite sets, see [4] for the elementary proof.
We now introduce the functions \(\{G_{\mathbf {m}}\}_{\mathbf {m} \in {\mathbf {R}}_{\mathrm {min} }}\subset \varSigma ^\infty \) that are crucial in our analysis. For m ∈NR 1, we inductively define \(\widetilde {\phi }_{\mathbf {m}}(0)\) and g m(0) by
and, for m ∈NR 1 ∖NR 0, by
where
Remark 2
For each m ≥ 1 and m ∈NR 1, A(m, m) is a finite set. Furthermore, for sufficiently large m, we have A(m, m) = ∅. Thus, even though we are expressing g m(0) in (12) by a series, the sum is finite.
For m ∈R min, we define G m by
Remark 3
g m(0) and G m are defined similarly. We are using a different notation to emphasize that g m(0) has m ∈NR 1, while G m has m ∈R min.
The following is the nonlinear Fermi Golden Rule (FGR) assumption essential in our analysis.
Assumption 3
For all m ∈R min, we assume
where \(\widehat {G}_{\mathbf {m}}\) is the distorted Fourier transform associated to H. □
Remark 4
In the case N = 2 and ω 1 + 2(ω 2 − ω 1) > 0, we have \(G_{\mathbf {m}}=g'(0)\phi _1\phi _2^2\), which corresponds to the condition in Tsai and Yau [14], based on the explicit formulas in Buslaev and Perelman [1] and Soffer and Weinstein [10]. These works are related to Sigal [9]. More general situations are considered in [3], where however the G m are obtained after a certain number of coordinate changes, so that the relation of the G m and the ϕ j’s is not discussed in [3] and is not easy to track.
In [4], it is proved that for a generic nonlinear function g, the condition (15) is a consequence of the following simpler one, which is similar to (11.6) in Sigal [9],
using again the distorted Fourier transform and where \( \phi ^{\mathbf {m}}:= \prod _{j=1,\ldots , N}\phi _j ^{m_j}\). Specifically, in [4], the following is proved.
Proposition 2
Let \(\displaystyle L=\sup \{ \frac {\| \mathbf {m} \| -1}{2} : \mathbf {m} \in {\mathbf {R}}_{\mathrm {min}} \} \) , and suppose that the operator H satisfies condition (16). Then there exists an open dense subset Ω of \({\mathbb R} ^{L}\) s.t. if (g′(0), …., g(L)(0)) ∈ Ω such that Assumption 3 is true for (1).
For \(\mathbf {z}=(z_1,\cdots ,z_N)\in \mathbb {C}^N\), \(\mathbf {m}=(m_1,\cdots ,m_N)\in {\mathbb Z}^N\), we define
We will use the following notation for a ball in a Banach space B:
The refined profile is of the form ϕ(z) = z ⋅ϕ + o(∥z∥) and is defined by the following proposition, proved in [4].
Proposition 3 (Refined Profile)
For any s ≥ 0, there exist δ s > 0 and C s > 0 s.t. δ sis nonincreasing w.r.t. s ≥ 0, and there exist
s.t. ϖ(0, ⋯ , 0) = ω , ψ m(0) = 0 for all m ∈NR 1and
where B X(a, r) := {u ∈ X | ∥u − a∥X < r}, and if we set
then, setting z(t) = (z 1(t), ⋯ , z n(t)), the function \(u(t):=\phi \left (\mathbf {z}(t)\right )\) satisfies
where \(\{G_{\mathbf {m}}\}_{{\mathbf {R}}_{\min }} \subset \left (\varSigma ^\infty \right )^{\sharp {\mathbf {R}}_{\min }}\) is given in (14). Finally, writing \(\psi _{\mathbf {m}}=\psi _{\mathbf {m}}^{(s)}\), ϖ = ϖ(s) and \(\mathcal R=\mathcal R^{(s)}\) , for s 1 < s 2, we have \(\psi _{\mathbf {m}}^{(s_1)}(|\cdot |{ }^2)=\psi _{\mathbf {m}}^{(s_2)}(|\cdot |{ }^2)\), \(\boldsymbol {\varpi }^{(s_1)}(|\cdot |{ }^2)=\boldsymbol {\varpi }^{(s_2)}(|\cdot |{ }^2)\) , and \(\mathcal R^{(s_1)}=\mathcal R^{(s_2)}\) in \( \mathcal {B}_{{\mathbb R}^N}(0,\delta _{s_2})\).
Remark 5
Notice that solitons, or standing waves, are exact solutions to the NLS generated from the refined profile setting
So the refined profile fails to be an exact solution precisely when there are at least two nonzero coordinates in z, which, under our hypotheses, make the defect on the right-hand side of (22) nonzero. Notice in particular that (20) states that the error term \(\mathcal R(\mathbf {z} )\) is not just small, but that it has a specific combinatorial structure. A monomial of the form z j|z j|2N cannot be a term in R(z), since it does not have the required combinatorial structure. These z j|z j|2N terms are in the left-hand side of (22) and cancel out because the refined profile encodes the standing waves, as
We give now several formulae related to the refined profile. Let X be a Banach space and \(F\in C^1(\mathcal {B}_{\mathbb {C}^N}(0,\delta ),X)\) for some δ > 0. For \(\mathbf {z}\in \mathcal {B}_{\mathbb {C}^N}(0,\delta )\) and \(\mathbf {w}\in \mathbb {C}^N\), we set
For z(t) given by the 2nd equation of (21), that is \(z_j(t)=e^{-\mathrm {i} \varpi _j(|\mathbf {z}|{ }^2) t}z_j\), we have
Thus, i∂ tϕ(z(t)) = iD zϕ(z(t))(−iϖ(|z(t)|2)z(t)), and we have the following formula, identically satisfied by ϕ(z),
Furthermore, differentiating (24) w.r.t. z in any given direction \(\widetilde {\mathbf {z}}\in \mathbb {C} ^N\), we obtain
where the operator H[z] is defined by
and is self-adjoint for the inner product \(\langle u, v\rangle = \mathop {\mathrm {Re}} \nolimits \int _{{\mathbb R} ^3}u\overline {v}dx\).
As mentioned above, the refined profile ϕ(z) contains as a special case the small standing waves bifurcating from the eigenvalues, when they are simple.
Corollary 1
Let s > 0 and j ∈{1, ⋯ , N}. Then, \(\phi \left (z(t){\mathbf {e}}_j\right )\) solves (1) if \(z\in \mathcal B_{\mathbb {C}}(0,\delta _s)\) and \(z(t)=e^{-\mathrm {i} \varpi _j(|z{\mathbf {e}}_j|{ }^2)t}z\).
Proof
Since (z e j)m = 0 for m ∈R min, we see that from (20) and (22), the remainder terms \(\sum _{\mathbf {m}\in {\mathbf {R}}_{\mathrm {min}}}\mathbf {z}(t)^{\mathbf {m}} G_{\mathbf {m}} + \mathcal R(\mathbf {z}(t))\) are 0 in (22). Therefore, we have the conclusion. □
Remark 6
If the eigenvalues of H are not simple, the above does not hold anymore in general. See Gustafson–Phan [6].
The main result, which we have first proved in [3], is the following.
Theorem 4
Under Assumptions 1, 2 and 3 , there exist δ 0 > 0 and C > 0 s.t. for all u 0 ∈ H1 with \(\epsilon _0:=\|u_0\|{ }_{H^1}< \delta _0\) , and there exists j ∈{1, ⋯ , N}, \(z\in C^1({\mathbb R},\mathbb {C})\) , η + ∈ H1 , and ρ + ≥ 0 s.t.
with \(C^{-1}\epsilon _0^2\leq \rho _+^2 + \|\eta _+\|{ }_{H^1}^2 \leq C \epsilon _0^2\) and
When written in the modulation parameters, the NLS appears like a complicated system where some discrete modes are coupled to radiation. The discrete modes tend to produce complicated patterns, similar to the ones of a linear system with eigenvalues. However, asymptotically in time, the nonlinear interaction is responsible of spilling of energy into radiation that disperses at space infinity and to the selection of a unique nonlinear standing wave. Theorem 4 is the same of the main theorem in [4] and is very similar to the main theorem in [3]. The proofs here and in [4] are much simpler than in [3] or in earlier papers containing early partial results, such as [11, 13]. In [3], in order to detect the nonlinear redistribution of the energy, it was necessary to make full use of the Hamiltonian structure of our NLS, by first introducing Darboux coordinates and by then considering a normal forms argument. The discovery of the notion of refined profile made in [8] and its further development in [4] allows to forgo the normal forms argument because an almost optimal system of coordinates is provided automatically by the refined profile. In [4], we introduced Darboux coordinates in a way much simpler than in [3]. Undoubtedly, Darboux coordinates are quite natural for a Hamiltonian system, and in [4], they contribute to simplify the system. In the present note however, we provide a different proof that, except for the information that mass and energy are constant, thus guaranteeing the global existence of our small H1 solutions, does not make explicit use of the Hamiltonian structure of the equations.
2 The Proof
We start from constructing the modulation coordinate. First, we have the following.
Lemma 1
There exist δ > 0 and \(\mathbf z\in C^\infty ( \mathcal {B}_{ \varSigma ^{-1}} (0, \delta ) , \mathbb {C}^N)\) s.t.
Proof
Standard. □
We set
In the following, we write η = η(u) and z = z(u). Substituting u = ϕ(z) + η to (1) and using (24), we have
where
Given an interval \(I\subseteq {\mathbb R}\), we set
where H0 = L2 and W0, p = Lp, and use Yajima’s [15] Strichartz inequalities, for \(t_0\in \overline {I}\),
Under the assumptions of Theorem 4, we have \(\|u\|{ }_{L^\infty H^1({\mathbb R})}\lesssim \epsilon _0\) from energy and mass conservation. Since \(\|u\|{ }_{H^1}\sim \|\mathbf {z}\|+\|\eta \|{ }_{H^1}\), we conclude
Theorem 5 (Main Estimates)
There exist δ 0 > 0 and C 0 > 0 s.t. if \(\epsilon _0=\|u_0\|{ }_{H^1}< \delta _0\) , we have
for I = [0, ∞) and C = C 0.
Notice that (33), Eq. (30) satisfied by η, estimate (20) for \(\mathcal {R}(\mathbf {z})\), and Lemma 2 below for F(z, η) allow to prove in a standard and elementary fashion that η(t) scatters as t → +∞, i.e., there exists η + ∈ H1 such that \( \| \eta (t) - e^{\mathrm {i} t\varDelta }\eta _+\|{ }_{H^1}\xrightarrow {t\to +\infty }0\). From (33), we have \(\| \eta _+ \|{ }_{H^1}\le C \epsilon _0\).
Using mass conservation, we have
So, by \( \| \phi (\mathbf {z} (t)) \|{ }_{L^2} ^{ 2} = \| \mathbf {z} (t) \|{ }^2 +o(\| \mathbf {z} (t) \|{ }^2)\), we get \(\displaystyle \lim _{t\to +\infty }\| \mathbf {z} (t) \|{ }^2 =\rho _+ ^2\) for some 0 ≤ ρ + ≤ 2C𝜖 0.
The fact that \(\mathbf {z} ^{\mathbf {m}} \in L^2({\mathbb R} _+ )\) and, as it is easy to see, \(\partial _t (\mathbf {z} ^{\mathbf {m}}) \in L^\infty ({\mathbb R} _+ )\cap C^0([0,\infty )\) implies \(\mathbf {z} ^{\mathbf {m}} \xrightarrow {t\to +\infty }0 \) for any m ∈R min. This implies \(z_k \xrightarrow {t\to +\infty }0 \) for all k except at most for one, yielding the selection of one coordinate j in the statement of Theorem 4. The proof that Theorem 5 implies Theorem 4 is like in [3].
By complete routine arguments discussed in [3], (33) for I = [0, ∞) is a consequence of the following proposition.
Proposition 4
There exists a constant c 0 > 0 s.t. for any C 0 > c 0, there is a value δ 0 = δ 0(C 0) s.t. if (33) holds for I = [0, T] for some T > 0, for C = C 0, and for \(u_0\in B_{H^1}(0,\delta _0)\) , then in fact for I = [0, T] the inequalities (33) hold for C = C 0∕2.
In the remainder of the paper, we prove Proposition 4.
2.1 Estimate of the Continuous Variable η
In the following, we set \(\epsilon _0=\|u_0\|{ }_{H^1}\). Further, when we use \(\lesssim \), the implicit constant will not depend on C 0. We start from the estimate of the remainder term F.
Lemma 2
Under the assumption of Proposition 4 , we have
Proof
By (2), we have the pointwise bound
Using this, we obtain the conclusion by Hölder and Sobolev estimates. □
We set
Notice that for u ∈ H1, \(\eta (u)\in \mathcal {H}_c[\mathbf {z}(u)]\cap H^1\). Following Gustafson, Nakanishi, and Tsai [5], we can construct an inverse of P c on \(\mathcal {H}_c[\mathbf {z}]\).
Lemma 3
There exists δ > 0 s.t. there exists
and
satisfies \(\left .R[\mathbf {z}]P_c\right |{ }_{\mathcal {H}_c[\mathbf {z}]}=\left .\mathrm {Id}\right |{ }_{\mathcal {H}_c[\mathbf {z}]}\), \(\left .P_cR[\mathbf {z}] \right |{ }_{P_c L^2}=\left .\mathrm {Id} \right |{ }_{P_c L^2}\).
Proof
A proof is in [3]. □
We set \(\widetilde {\eta }=P_c\eta \). By Lemma 3, we have \(\eta =R[z]\widetilde {\eta }\) and \(\|\eta \|{ }_{\mathrm {Stz}^1}\sim \|\widetilde {\eta }\|{ }_{\mathrm {Stz}^1}\). Applying P c to (30), we have
Lemma 4
Under the assumption of Proposition 4 , we have
Proof
Obviously, from \(\|\eta \|{ }_{\mathrm {Stz}^1}\sim \|\widetilde {\eta }\|{ }_{\mathrm {Stz}^1}\), it is enough to bound the latter. By Strichartz estimates (32) and Lemma 2, we easily obtain
Using the fact that \(\|P_c D_{\mathbf {z}}\phi (\mathbf {z})\|{ }_{\varSigma ^1}=O\left (\|\mathbf {z}\|{ }^2\right ) \), we obtain (40). □
We set \(Z(\mathbf {z}):=- \sum _{\mathbf {m}\in {\mathbf {R}}_{\min }} {\mathbf {z}}^{\mathbf {m}}R_+(\mathbf {m}\cdot \boldsymbol {\omega })P_c G_{\mathbf {m}}\) and \(\xi :=\widetilde {\eta }+Z\), where R +(λ) := (H − λ −i0)−1. Using the identity
with, in the left-hand side, ω z := (ω 1z 1, ⋯ , ω Nz N), we see that Z satisfies
where
Substituting \(\widetilde {\eta }=\xi -Z(\mathbf {z})\) into (39), we obtain
Lemma 5
Under the assumption of Proposition 4 , we have
Proof
By \(\|\cdot \|{ }_{L^2\varSigma ^{0-}}\lesssim \|\cdot \|{ }_{\mathrm {Stz}^0}\) and Strichartz estimates (32), we have
where z(t) = z(u(t)). One can bound the contribution of the 2nd line of (44) by \(\lesssim C(C_0)\epsilon _0^3 \) using, as in Lemma 4, \(\|P_c D_{\mathbf {z}}\phi (\mathbf {z})\|{ }_{\varSigma ^1}=O\left (\|\mathbf {z}\|{ }^2\right ) \) and
by (41) and ϖ(|z|2)|z=0 = ω. Similarly, the first term in the r.h.s. of (44) can be bounded by \(\lesssim \epsilon _0\). For the 2nd and 3rd terms in the r.h.s. of (44), we will now use the estimate
By (46), we have
and
where we have used (45) in the 2nd inequality and Young’s convolution inequality in the 3rd inequality. Therefore, we have the conclusion. □
2.2 Estimate of Discrete Variables
We next estimate the quantities \(\|\partial _t \mathbf {z}+\mathrm {i} \boldsymbol {\varpi }(|\mathbf {z}|{ }^2)\mathbf {z}\|{ }_{L^2}\) and \(\sum _{\mathbf {m}\in {\mathbf {R}}_{\mathrm {min}}}\|{\mathbf {z}}^{\mathbf {m}}\|{ }_{L^2}\). To do so, we first compute the inner product \(\langle (30),D_{\mathbf {z}}\phi (\mathbf {z})\widetilde {\mathbf {z}}\rangle \) for any given \(\widetilde {\mathbf {z}}\in \mathbb {C}^N\). First, notice that by \(\eta \in \mathcal {H}_c[\mathbf {z}]\), we obtain the orthogonality relation
Second, applying the inner product 〈η, ⋅〉 to Eq. (25), we have
where we exploited the self-adjointness of H[z] and the orthogonality in Lemma 1. Thus, applying \(\langle \cdot , D_{\mathbf {z}}\phi (\mathbf {z})\widetilde {\mathbf {z}}\rangle \) to Eq. (30) for η and using the last two equalities, we obtain
Using \(\widetilde {\mathbf {z}}={\mathbf {e}}_j, \mathrm {i} {\mathbf {e}}_j\), we have the following.
Lemma 6
Under the assumption of Proposition 4 , we have
where r j(z, η) satisfies
In particular, we have
Proof
First since \(D_{\mathbf {z}}\phi (0)\widetilde {\mathbf {z}}=\widetilde {\mathbf {z}}\cdot \boldsymbol {\phi }\), we have
where
Since \(\|D_{\mathbf {z}}\phi (\mathbf {z})-D_{\mathbf {z}}\phi (0)\|{ }_{L^2}\lesssim |\mathbf {z}|{ }^2\lesssim \epsilon _0^2\), by the assumptions of Proposition 4, we have
Setting
by the assumptions of Proposition 4, we have
Therefore, since Dϕ(0)ik e j = ik ϕ j (k = 0, 1), we have
Since G m (as can be seen from the proof in [4]) and ϕ j are \({\mathbb R}\)-valued, we have
Therefore, from (52) and (54), we have the conclusion with \(r_j(\mathbf {z},\eta )=-r(\mathbf {z},\mathrm {i} {\mathbf {e}}_j)+\mathrm {i} r(\mathbf {z},{\mathbf {e}}_j)+\widetilde {r}(\mathbf {z},\mathrm {i} {\mathbf {e}}_j,\eta )-\mathrm {i} \widetilde {r}(\mathbf {z},{\mathbf {e}}_j,\eta )\). □
Having estimated η and ∂ tz + iϖ(|z|2)z in terms of \(\sum _{\mathbf {m}\in {\mathbf {R}}_{\mathrm {min}}}\|{\mathbf {z}}^{\mathbf {m}}\|{ }_{L^2(I)}\), we need to estimate the latter quantity. Here we use the Fermi Golden Rule.
Lemma 7
Under the assumption of Proposition 4 , we have
Proof
We substitute \(\widetilde {\mathbf {z}}=\mathrm {i} \boldsymbol {\varpi }(|\mathbf {z}|{ }^2)\mathbf {z}\) in (47), and we make various simplifications. First, by 〈f, if〉 = 0, the right-hand side of (47) can be rewritten as
Next, we consider the 3rd line of (47), which we rewrite as
The term in the 1st line of the r.h.s. of (57) can be written as
where
satisfies
Using the stationary refined profile equation (24), the last line of (57) can be written as
Notice that the 2nd term of (60) coincides with the right-hand side of (56), which lies in the left-hand side of (47), so that the two cancel each other. On the other hand, we have
Therefore, from (47) with \(\widetilde {\mathbf {z}}=\mathrm {i} \boldsymbol {\varpi }(|\mathbf {z}|{ }^2)\mathbf {z}\), (56), (57), (58), (60) and (61), we have
where
satisfies
By Lemma 6 and \(D_{\mathbf {z}}\phi (0)\widetilde {\mathbf {z}}=\widetilde {\mathbf {z}}\cdot \boldsymbol {\phi }\), the 1st term of right-hand side of (62) can be written as
where we have set g m,j := 〈G m, ϕ j〉 and used the fact that 〈zm G m, −izm ϕ j〉 = 0 due to G m and ϕ j being \({\mathbb R}\)-valued. Now, for m ≠ n, we have
Thus, since (m − n) ⋅ω ≠ 0 from Assumption 2, we have
where
Then, by the hypotheses of Proposition 4, we have
Thus, we have
where
Thus,
where
Substituting η = R[z]ξ − (R[z] − 1)Z(z) − Z(z) into the 2nd term of the l.h.s. of (62), we have
By (65), the 2nd term of the r.h.s. of (67) can be written as
where
with
The last term of r.h.s. of (67) can be written as
with R 6(z) satisfying
Therefore, we have
where R 7(z, η) = R 2(z) + R 4(z) + R 5 + R 6.
Now, by \(R_+(\boldsymbol {\omega }\cdot \mathbf {m}) =\mathrm {P.V.}\frac {1}{H-\boldsymbol {\omega }\cdot \mathbf {m}}+\mathrm {i} \pi \delta (H-\boldsymbol {\omega }\cdot \mathbf {m}) \) and formula (2.5) p. 156 [12] and Assumption 3, we have
with \(\widehat {G_{\mathbf {m}}}(k)\) like in Assumption 3. Thus, we have
where we have used Schwarz inequality. Taking δ so that the \(\|{\mathbf {z}}^{\mathbf {m}}\|{ }_{L^2(I)}^2 \lesssim \epsilon _0^2+\delta ^{-1} \|\xi \|{ }_{L^2\varSigma ^{0-}(I)}^2 +C_0^2\epsilon _0^4\) and using \(\|\xi \|{ }_{L^2\varSigma ^{0-}(I)} \lesssim \epsilon _0\) by Lemma 5, we obtain (55). □
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Acknowledgements
S.C. was supported by a FRA of the University of Trieste and by the PRIN 2020 project Hamiltonian and Dispersive PDEs n. 2020XB3EFL. M.M. was supported by the JSPS KAKENHI Grant Number 19K03579, G19KK0066A, and JP17H02853.
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Cuccagna, S., Maeda, M. (2022). A Note on Small Data Soliton Selection for Nonlinear Schrödinger Equations with Potential. In: Georgiev, V., Michelangeli, A., Scandone, R. (eds) Qualitative Properties of Dispersive PDEs. INdAM 2021. Springer INdAM Series, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-19-6434-3_1
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