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On well-posedness results for the cubic-quintic NLS on 𝕋3\mathbb{T}^{3}

Yongming Luo, Xueying Yu, Haitian Yue and Zehua Zhao
Abstract.

We consider the periodic cubic-quintic nonlinear Schrödinger equation

(CQNLS) (it+Δ)u=μ1|u|2u+μ2|u|4u\displaystyle(i\partial_{t}+\Delta)u=\mu_{1}|u|^{2}u+\mu_{2}|u|^{4}u

on the three-dimensional torus 𝕋3\mathbb{T}^{3} with μ1,μ2{0}\mu_{1},\mu_{2}\in\mathbb{R}\setminus\{0\}. As a first result, we establish the small data well-posedness of (CQNLS) for arbitrarily given μ1\mu_{1} and μ2\mu_{2}. By adapting the crucial perturbation arguments in [33] to the periodic setting, we also prove that (CQNLS) is always globally well-posed in H1(𝕋3)H^{1}(\mathbb{T}^{3}) in the case μ2>0\mu_{2}>0.

Key words and phrases:
Nonlinear Schrödinger equation, global well-posedness, perturbation theory
2020 Mathematics Subject Classification:
Primary: 35Q55; Secondary: 35R01, 37K06, 37L50

1. Introduction and main results

In this paper, we study the cubic-quintic nonlinear Schrödinger equation (CQNLS)

(1.1) (it+Δx)u=μ1|u|2u+μ2|u|4u(i\partial_{t}+\Delta_{x})u=\mu_{1}|u|^{2}u+\mu_{2}|u|^{4}u

on the three-dimensional torus 𝕋3\mathbb{T}^{3}, where μ1,μ2{0}\mu_{1},\mu_{2}\in\mathbb{R}\setminus\{0\} and 𝕋=/2π\mathbb{T}=\mathbb{R}/2\pi\mathbb{Z}. The CQNLS (1.1) arises in numerous physical applications such as nonlinear optics and Bose-Einstein condensate. Physically, the nonlinear potentials |u|2u|u|^{2}u and |u|4u|u|^{4}u model the two- and three-body interactions respectively and the positivity or negativity of μ1\mu_{1} and μ2\mu_{2} indicates whether the underlying nonlinear potential is repulsive (defocusing) or attractive (focusing). We refer to, for instance, [10, 11, 27] and the references therein for a more comprehensive introduction on the physical background of the CQNLS (1.1). Mathematically, the CQNLS model (1.1) on Euclidean spaces d\mathbb{R}^{d} (d3d\leq 3) has been intensively studied in [3, 4, 6, 18, 19, 22, 23, 25, 26, 28, 33], where well-posedness and long time behavior results for solutions of (1.1) as well as results for existence and (in-)stability of soliton solutions of (1.1) were well established.

In this paper, we aim to give some first well-posedness results for (1.1) in the periodic setting, which, to the best of our knowledge, have not existed to that date. We also restrict ourselves to the most appealing case d=3d=3, where the quintic potential is energy-critical. (By ‘energy-critical’, we mean the energy of solution is invariant under the scaling variance. See [9] for more details.) In this case, the well-posedness of (1.1) shall also depend on the profile of the initial data and the analysis becomes more delicate and challenging.

Our first result deals with the small data well-posedness of (1.1), which is given in terms of the function spaces Z(I),X1(I)Z^{\prime}(I),X^{1}(I) defined in Section 2 for a given time slot II.

Theorem 1.1 (Small data well-posedness).

Consider (1.1) on a time slot I=(T,T)I=(-T,T)\subset\mathbb{R} with some T(0,)T\in(0,\infty). Let u0H1(𝕋3)u_{0}\in H^{1}(\mathbb{T}^{3}) satisfies u0H1(𝕋3)E\|u_{0}\|_{H^{1}(\mathbb{T}^{3})}\leq E for some E>0E>0. Then there exists δ=δ(E,T)>0\delta=\delta(E,T)>0 such that if

(1.2) eitΔu0Z(I)δ,\displaystyle\|e^{it\Delta}u_{0}\|_{Z^{\prime}(I)}\leq\delta,

then (1.1) admits a unique strong solution uX1(I)u\in X^{1}(I) with initial data u(0,x)=u0(x)u(0,x)=u_{0}(x).

The proof of Theorem 1.1 is based on a standard application of the contraction principle. Nonetheless, one of the major challenges in proving well-posedness of dispersive equations on tori is the rather exotic Strichartz estimates, leading in most cases to very technical and cumbersome proofs. In the energy-subcritical setting, Strichartz estimates for periodic nonlinear Schrödinger equations (NLS) were first established by Bourgain [1] by appealing to the number-theoretical methods. In our case, where an energy-critical potential is present, we shall make use of the Strichartz estimates introduced by Herr-Tataru-Tzvetkov [14] based on the atomic space theory, which in turn initiates applications of the function spaces defined in Section 2. Notice also that in comparison to the purely quintic NLS model studied in [14], an additional cubic term should also be dealt in our case. A new bilinear estimate on 𝕋3\mathbb{T}^{3} will therefore be proved in order to obtain a proper estimate for the cubic potential, and we refer to Lemma 3.2 for details. For interested readers, we also refer to [7, 8, 14, 15, 16, 17, 29, 30, 32, 34, 35, 36] for further well-posedness results for NLS (with single nonlinear potential) on tori or waveguide manifolds based on the atomic space theory. (See [24, 31] for other dispersive equations on waveguides.)

Despite that small data well-posedness results are satisfactory to certain extent, it is more interesting (and hence also more challenging) to deduce well-posedness results where the initial data are not necessarily small. We focus here on the particular scenario where the quintic potential is repulsive (μ2>0\mu_{2}>0), which is motivated by the following physical concern: Consider for instance the focusing cubic NLS111When d=1d=1, the mass-subcritical nature of the nonlinear potential, combining with conservation of mass and energy, guarantees the global well-posedness of (1.3) in H1()H^{1}(\mathbb{R}) as well as H1(𝕋)H^{1}(\mathbb{T}).

(1.3) (it+Δ)u=|u|2u\displaystyle(i\partial_{t}+\Delta)u=-|u|^{2}u

on d\mathbb{R}^{d} with d{2,3}d\in\{2,3\}. By invoking the celebrated Glassey’s identity [12] one may construct finite time blow-up solutions of (1.3) for initial data lying in weighted L2L^{2}-spaces or satisfying radial symmetric conditions, see for instance [5] for a proof. Surprisingly, in contrast to the rigorously derived blow-up results, collapse of the wave function does not appear in many actual experiments. It is therefore suggested to incorporate a higher order repulsive potential into (1.3), the case that the repulsive potential is taken as the three-body interaction leads to the study of CQNLS (1.1). More interestingly, it turns out that in the presence of a quintic stabilizing potential, (1.1) is in fact globally well-posed for arbitrary initial data in H1(d)H^{1}(\mathbb{R}^{d}). While for d=2d=2 this follows already from conservation laws and the energy-subcritical nature of (1.1) on 2\mathbb{R}^{2}, the proof in the case d=3d=3, where the quintic potential becomes energy-critical, is more involved. A rigorously mathematical proof for confirming such heuristics in d=3d=3 was first given by Zhang [33]. The idea from [33] can be summarized as follows: We may consider (1.1) as a perturbation of the three dimensional defocusing quintic NLS

(1.4) (it+Δ)u=|u|4u\displaystyle(i\partial_{t}+\Delta)u=|u|^{4}u

whose global well-posedness in H˙1(3)\dot{H}^{1}(\mathbb{R}^{3}) was shown in [9]. We then partition the time slot II into disjoint adjacent small intervals I=j=0mIjI=\cup_{j=0}^{m}\,I_{j}. On each of these intervals, the cubic term is expected to be “small” because of the smallness of the subinterval, and by invoking a stability result we may prove that (1.1) is well-posed on a given IjI_{j}. Based on the well-posedness result on IjI_{j} we are then able to prove the same result for the consecutive interval Ij+1I_{j+1} and so on. Starting from the interval I0I_{0} and repeating the previous procedure inductively over all IjI_{j} follows then the desired claim.

Inspired by the result given in [33], we aim to prove the following analogous global well-posedness result for (1.1) on 𝕋3\mathbb{T}^{3} in the case μ2>0\mu_{2}>0.

Theorem 1.2 (Global well-posedness in the case μ2>0\mu_{2}>0).

Assume that μ2>0\mu_{2}>0. Then (1.1) is globally well-posed in H1(𝕋3)H^{1}(\mathbb{T}^{3}) in the sense that for any T>0T>0 and u0H1(𝕋3)u_{0}\in H^{1}(\mathbb{T}^{3}), (1.1) possesses a solution uX1(I)u\in X^{1}(I) on I=(T,T)I=(-T,T) with u(0)=u0u(0)=u_{0}.

Remark 1.3.

We note that one can also obtain the waveguide analogues of Theorem 1.2, (i.e. considering (1.1) posed on 2×𝕋\mathbb{R}^{2}\times\mathbb{T} and ×𝕋2\mathbb{R}\times\mathbb{T}^{2}) with suitable modifications. Moreover, for the 2×𝕋\mathbb{R}^{2}\times\mathbb{T} case, scattering behavior is also expected according to existing literature (see [35]). However, the scattering result require a lot more than this GWP scheme and we leave it for future considerations.

Remark 1.4.

It is worth mentioning that the same global well-posedness result for the supercubic-quintic NLS

(it+Δ)u=μ1|u|p1u+μ2|u|4u,for3<p<5,(i\partial_{t}+\Delta)u=\mu_{1}|u|^{p-1}u+\mu_{2}|u|^{4}u,\quad\text{for}\quad 3<p<5,

is expected to be yielded by adapting the nonlinear estimates in Section 3 into the fractional product case (see [21] for reference, see also [33] for the Euclidean case). We leave it for interested readers.

We follow closely the same lines from [33] to prove Theorem 1.2. In comparison to the Euclidean case, there are essentially two main new ingredients needed for the proof of Theorem 1.2:

  1. (i)

    The Black-Box-Theory from [9] is replaced by the one from [16] for (1.4) on 𝕋3\mathbb{T}^{3}.

  2. (ii)

    The estimates are correspondingly modified (in a very technical and subtle way) in order to apply the Strichartz estimates based on the atomic space theory.

We refer to Section 4 for the proof of Theorem 1.2 in detail. For further applications of such interesting perturbation arguments on NLS with combined powers, we also refer to [28].

Remark 1.5.

By a straightforward scaling argument it is not hard to see that both Theorems 1.1 and 1.2 extend verbatim to the case where 𝕋3\mathbb{T}^{3} is replaced by any rational torus. Such direct scaling argument, however, does not apply to irrational tori. Nevertheless, thanks to the ground breaking work of Bourgain and Demeter [2] we also know that the Strichartz estimates established in [14] are in fact available for irrational tori, by which we are thus able to conclude that Theorems 1.1 and 1.2 indeed remain valid for arbitrary tori regardless of their rationality. For simplicity we will keep working with the torus 𝕋3\mathbb{T}^{3} in the rest of the paper.

We outline the structure of the rest of the paper. In Section 2, we summarize the notations and definitions which will be used throughout the paper and define the function spaces applied in the Cauchy problem (1.1). In Sections 3 and 4, we prove Theorems 1.1 and 1.2 respectively.

Acknowledgment

Y. Luo was funded by Deutsche Forschungsgemeinschaft (DFG) through the Priority Programme SPP-1886 (No. NE 21382-1). H. Yue was supported by the Shanghai Technology Innovation Action Plan (No. 22JC1402400), a Chinese overseas high-level young talents program (2022) and the start-up funding of ShanghaiTech University. Z. Zhao was supported by the NSF grant of China (No. 12101046, 12271032), Chinese overseas high-level young talents program (2022) and the Beijing Institute of Technology Research Fund Program for Young Scholars.

2. Preliminaries

In this section, we first discuss notations used in the rest of the paper, introduce the function spaces with their properties that we will be working on, and list some useful tools from harmonic analysis.

2.1. Notations

We use the notation ABA\lesssim B whenever there exists some positive constant CC such that ACBA\leq CB. Similarly we define ABA\gtrsim B and we use ABA\sim B when ABAA\lesssim B\lesssim A. For simplicity, we hide in most cases the dependence of the function spaces on their spatial domain in their indices. For example Lx2=L2(𝕋3)L_{x}^{2}=L^{2}(\mathbb{T}^{3}), k2=2(3)\ell_{k}^{2}=\ell^{2}(\mathbb{Z}^{3}) and so on. However, when the space is involved with time we still display the underlying temporal interval such as Lt,xp(I)L_{t,x}^{p}(I), LtpLxq(I)L_{t}^{p}L_{x}^{q}(I), Ltk2()L_{t}^{\infty}\ell_{k}^{2}(\mathbb{R}) etc. We also frequently write p:=Lxp\|\cdot\|_{p}:=\|\cdot\|_{L_{x}^{p}}.

2.2. Fourier transforms and Littlewood-Paley projections

Throughout the paper we use the following Fourier transformation on 𝕋3\mathbb{T}^{3}:

(f)(ξ)=f^(ξ)=(2π)32𝕋df(x)eixξ𝑑x(\mathcal{F}f)(\xi)=\widehat{f}(\xi)=(2\pi)^{-\frac{3}{2}}\int_{\mathbb{T}^{d}}f(x)e^{-ix\cdot\xi}\,dx

for ξ3\xi\in\mathbb{Z}^{3}. The corresponding Fourier inversion formula is then given by

f(x)=(2π)32ξ3(f)(ξ)eixξ.f(x)=(2\pi)^{-\frac{3}{2}}\sum_{\xi\in\mathbb{Z}^{3}}(\mathcal{F}f)(\xi)e^{ix\cdot\xi}.

By definition, the Schrödinger propagator eitΔe^{it\Delta} is defined by

(eitΔf)(ξ)=eit|ξ|2(f)(ξ).\left(\mathcal{F}e^{it\Delta}f\right)(\xi)=e^{-it|\xi|^{2}}(\mathcal{F}f)(\xi).

Next we define the Littlewood-Paley projectors. We fix some even decreasing function ηCc(;[0,1])\eta\in C_{c}^{\infty}(\mathbb{R};[0,1]) satisfying η(t)1\eta(t)\equiv 1 for |t|1|t|\leq 1 and η(t)0\eta(t)\equiv 0 for |t|2|t|\geq 2. For a dyadic number N1N\geq 1 define ηN:3[0,1]\eta_{N}:\mathbb{Z}^{3}\to[0,1] by

ηN(ξ)=η(|ξ|/N)η(2|ξ|/N),N2,\displaystyle\eta_{N}(\xi)=\eta(|\xi|/N)-\eta(2|\xi|/N),\quad N\geq 2,
ηN(ξ)=η(|ξ|),N=1.\displaystyle\eta_{N}(\xi)=\eta(|\xi|),\quad N=1.

Then the Littlewood-Paley projector PNP_{N} (N1N\geq 1) is defined as the Fourier multiplier with symbol ηN\eta_{N}. For any N(0,)N\in(0,\infty), we also define

(2.1) PN:=M2,MNPM,P>N:=M2,M>NPM.P_{\leq N}:=\sum_{M\in 2^{\mathbb{N}},M\leq N}P_{M},\quad P_{>N}:=\sum_{M\in 2^{\mathbb{N}},M>N}P_{M}.

2.3. Strichartz estimates

As already pointed out in the introductory section, unlike the Euclidean case, the Strichartz estimates on (rational or irrational) tori are generally proved in a highly non-trivial way and in most cases only frequency-localized estimates can be deduced. For our purpose we will make use of the following Strichartz estimate proved by Bourgain and Demeter [2] (see also [1, 20]).

Proposition 2.1 (Frequency-localized Strichartz estimates on 𝕋3\mathbb{T}^{3}, [2]).

Consider the linear Schrödinger propagator eitΔe^{it\Delta} on a (rational or irrational) three-dimensional torus. Then for p>103p>\frac{10}{3} we have for any time slot II with |I|1|I|\leq 1

(2.2) eitΔPNfLt,xp(I×𝕋3)pN325pPNfLx2(𝕋3).\|e^{it\Delta}P_{N}f\|_{L^{p}_{t,x}(I\times\mathbb{T}^{3})}\lesssim_{p}N^{\frac{3}{2}-\frac{5}{p}}\|P_{N}f\|_{L^{2}_{x}(\mathbb{T}^{3})}.

2.4. Function spaces

Next, we define the function spaces and collect some of their useful properties which will be used for the Cauchy problem (1.1). We begin with the definitions of UpU^{p}- and VpV^{p}-spaces introduced in [13].

Definition 2.2 (UpU^{p}-spaces).

Let 1p<1\leq p<\infty, \mathcal{H} be a complex Hilbert space and 𝒵\mathcal{Z} be the set of all finite partitions <t0<t1<<tK-\infty<t_{0}<t_{1}<...<t_{K}\leq\infty of the real line. A UpU^{p}-atom is a piecewise constant function a:a:\mathbb{R}\rightarrow\mathcal{H} defined by

a=k=1Kχ[tk1,tk)ϕk1,\displaystyle a=\sum_{k=1}^{K}\chi_{[t_{k-1},t_{k})}\phi_{k-1},

where {tk}k=0K𝒵\{t_{k}\}_{k=0}^{K}\in\mathcal{Z} and {ϕk}k=0K1\{\phi_{k}\}_{k=0}^{K-1}\subset\mathcal{H} with k=0Kϕkp=1\sum_{k=0}^{K}\|\phi_{k}\|^{p}_{\mathcal{H}}=1. The space Up(;)U^{p}(\mathbb{R};\mathcal{H}) is then defined as the space of all functions u:u:\mathbb{R}\rightarrow\mathcal{H} such that u=j=1λjaju=\sum_{j=1}^{\infty}\lambda_{j}a_{j} with UpU^{p}-atoms aja_{j} and {λj}1\{\lambda_{j}\}\in\ell^{1}. We also equip the space Up(;)U^{p}(\mathbb{R};\mathcal{H}) with the norm

uUp:=inf{j=1|λj|:u=j=1λjaj,λj,aj are Up-atoms}.\displaystyle\|u\|_{U^{p}}:=\inf\{\sum^{\infty}_{j=1}|\lambda_{j}|:u=\sum_{j=1}^{\infty}\lambda_{j}a_{j},\,\lambda_{j}\in\mathbb{C},\,a_{j}\text{ are }U^{p}\textmd{-atoms}\}.
Definition 2.3 (VpV^{p}-spaces).

We define the space Vp(,)V^{p}(\mathbb{R},\mathcal{H}) as the space of all functions v:v:\mathbb{R}\rightarrow\mathcal{H} such that

vVp:=sup{tk}k=0K𝒵(k=1Kv(tk)v(tk1)p)1p<+,\displaystyle\|v\|_{V^{p}}:=\sup\limits_{\{t_{k}\}^{K}_{k=0}\in\mathcal{Z}}(\sum_{k=1}^{K}\|v(t_{k})-v(t_{k-1})\|^{p}_{\mathcal{H}})^{\frac{1}{p}}<+\infty,

where we use the convention v()=0v(\infty)=0. Also, we denote by Vrcp(,)V^{p}_{rc}(\mathbb{R},\mathcal{H}) the closed subspace of Vp(,)V^{p}(\mathbb{R},\mathcal{H}) containing all right-continuous functions vv with limtv(t)=0\lim\limits_{t\rightarrow-\infty}v(t)=0.

In our context we shall set the Hilbert space \mathcal{H} to be the Sobolev space HxsH_{x}^{s} with ss\in\mathbb{R}, which will be the case in the remaining parts of the paper.

Definition 2.4 (UΔpU_{\Delta}^{p}- and VΔpV_{\Delta}^{p}-spaces in [13]).

For ss\in\mathbb{R} we let UΔpHxs()U^{p}_{\Delta}H_{x}^{s}(\mathbb{R}) resp. VΔpHxs()V^{p}_{\Delta}H_{x}^{s}(\mathbb{R}) be the spaces of all functions such that eitΔu(t)e^{-it\Delta}u(t) is in Up(,Hxs)U^{p}(\mathbb{R},H_{x}^{s}) resp. Vrcp(,Hxs)V^{p}_{rc}(\mathbb{R},H_{x}^{s}), with norms

uUΔpHxs()=eitΔuUp(,Hxs),uVΔpHxs()=eitΔuVp(,Hxs).\displaystyle\|u\|_{U^{p}_{\Delta}H_{x}^{s}(\mathbb{R})}=\|e^{-it\Delta}u\|_{U^{p}(\mathbb{R},H_{x}^{s})},\quad\|u\|_{V^{p}_{\Delta}H_{x}^{s}(\mathbb{R})}=\|e^{-it\Delta}u\|_{V^{p}(\mathbb{R},H_{x}^{s})}.

Having defined the UΔpU_{\Delta}^{p}- and VΔpV_{\Delta}^{p}-spaces we are now ready to formulate the function spaces for studying the Cauchy problem (1.1). For C=[12,12)33C=[-\frac{1}{2},\frac{1}{2})^{3}\in\mathbb{R}^{3} and z3z\in\mathbb{R}^{3} let Cz=z+CC_{z}=z+C be the translated unit cube centered at zz and define the sharp projection operator PCzP_{C_{z}} by

(PCzf)(ξ)=χCz(ξ)(f)(ξ),ξ3,\displaystyle\mathcal{F}(P_{C_{z}}f)(\xi)=\chi_{C_{z}}(\xi)\mathcal{F}(f)(\xi),\quad\xi\in\mathbb{Z}^{3},

where χCz\chi_{C_{z}} is the characteristic function restrained on CzC_{z}. We then define the XsX^{s}- and YsY^{s}-spaces as follows:

Definition 2.5 (XsX^{s}- and YsY^{s}-spaces).

For ss\in\mathbb{R} we define the Xs()X^{s}(\mathbb{R})- and Ys()Y^{s}(\mathbb{R})-spaces through the norms

uXs()2\displaystyle\|u\|_{X^{s}(\mathbb{R})}^{2} :=z3z2sPCzuUΔ2(;Lx2)2,\displaystyle:=\sum_{z\in\mathbb{Z}^{3}}\langle z\rangle^{2s}\|P_{C_{z}}u\|_{U_{\Delta}^{2}(\mathbb{R};L_{x}^{2})}^{2},
uYs()2\displaystyle\|u\|_{Y^{s}(\mathbb{R})}^{2} :=z3z2sPCzuVΔ2(;Lx2)2.\displaystyle:=\sum_{z\in\mathbb{Z}^{3}}\langle z\rangle^{2s}\|P_{C_{z}}u\|_{V_{\Delta}^{2}(\mathbb{R};L_{x}^{2})}^{2}.

For an interval II\subset\mathbb{R} we also consider the restriction spaces Xs(I),Ys(I)X^{s}(I),Y^{s}(I) etc. For these spaces we have the following useful embedding:

Proposition 2.6 (Embedding between the function spaces, [13]).

For 2<p<q<2<p<q<\infty we have

UΔ2HxsXsYsVΔ2HxsUΔpHxsUΔqHxsLHxs.\displaystyle U^{2}_{\Delta}H_{x}^{s}\hookrightarrow X^{s}\hookrightarrow Y^{s}\hookrightarrow V^{2}_{\Delta}H_{x}^{s}\hookrightarrow U^{p}_{\Delta}H_{x}^{s}\hookrightarrow U^{q}_{\Delta}H_{x}^{s}\hookrightarrow L^{\infty}H_{x}^{s}.

As usual, the proofs of the well-posed results rely on the contraction principle and thus a dual norm estimation for the Duhamel term is needed. In the periodic setting, the dual norm is given as the NsN^{s}-norm, which is defined as follows:

Definition 2.7 (NsN^{s}-norm).

On a time slot II we define the Ns(I)N^{s}(I)-norm for ss\in\mathbb{R} by

hNs(I)=atei(ts)Δh(s)𝑑sXs(I).\|h\|_{N^{s}(I)}=\|\int_{a}^{t}e^{i(t-s)\Delta}h(s)\,ds\|_{X^{s}(I)}.

The following proposition sheds light on the duality of the spaces N1(I)N^{1}(I) and Y1(I)Y^{-1}(I).

Proposition 2.8 (Duality of N1(I)N^{1}(I) and Y1(I)Y^{-1}(I) in [14]).

The spaces N1(I)N^{1}(I) and Y1(I)Y^{-1}(I) satisfy the following duality inequality

fN1(I)supvY1(I)1I×𝕋3f(t,x)v(t,x)¯𝑑x𝑑t.\displaystyle\|f\|_{N^{1}(I)}\lesssim\sup_{\|v\|_{Y^{-1}(I)}\leq 1}\int_{I\times\mathbb{T}^{3}}f(t,x)\overline{v(t,x)}\,dxdt.

Moreover, the following estimate holds for any smooth (Hx1H_{x}^{1}-valued) function gg on an interval I=[a,b]I=[a,b]:

gX1(I)g(a)Hx1+(NPN(it+Δ)gLt1Hx1(I)2)12.\displaystyle\|g\|_{X^{1}(I)}\lesssim\|g(a)\|_{H_{x}^{1}}+(\sum_{N}\|P_{N}(i\partial_{t}+\Delta)g\|^{2}_{L_{t}^{1}H_{x}^{1}(I)})^{\frac{1}{2}}.

For our purpose we shall also need appeal to the ZZ-norm which is defined as follows:

Definition 2.9 (ZZ-norm).

For a time slot II we define the Z(I)Z(I)-norm by

uZ(I)=supJI,|J|1(N1N3PNuLt,x4(J)4)14.\displaystyle\|u\|_{Z(I)}=\sup\limits_{J\subset I,|J|\leq 1}(\sum_{N\geq 1}N^{3}\|P_{N}u\|_{L_{t,x}^{4}(J)}^{4})^{\frac{1}{4}}.

As a direct consequence of the Strichartz estimates it is easy to verify that

uZ(I)uX1(I).\displaystyle\|u\|_{Z(I)}\lesssim\|u\|_{X^{1}(I)}.

For those readers who are familiar with NLS on the standard Euclidean space d\mathbb{R}^{d}, we also note that intuitively, the X1X^{1}- and ZZ-norms play exactly the same roles as the norm S1:=LtHx1Lt2Wx1,6\|\cdot\|_{S^{1}}:=\|\cdot\|_{L_{t}^{\infty}H_{x}^{1}\cap L_{t}^{2}W_{x}^{1,6}} and Lt,x10L^{10}_{t,x}-norm for the quintic NLS on 3\mathbb{R}^{3} respectively. Nevertheless, the ZZ-norm can not be directly applied to prove the well-posedness results. To that end, we introduce the ZZ^{\prime}-norm defined by

uZ:=uZ12uX112\|u\|_{Z^{\prime}}:=\|u\|_{Z}^{\frac{1}{2}}\|u\|_{X^{1}}^{\frac{1}{2}}

which will be more useful for the proof of Theorem 1.1.

2.5. Conservation laws

We end this section by introducing the mass M(u)M(u) and energy E(u)E(u) associating to the NLS flow (1.1):

(2.3) M(u)=𝕋3|u|2𝑑x,E(u)=𝕋312|u|2+μ14|u|4+μ26|u|6dx.\displaystyle\begin{aligned} M(u)&=\int_{\mathbb{T}^{3}}|u|^{2}\,dx,\\ E(u)&=\int_{\mathbb{T}^{3}}\frac{1}{2}|\nabla u|^{2}+\frac{\mu_{1}}{4}|u|^{4}+\frac{\mu_{2}}{6}|u|^{6}\,dx.\end{aligned}

It is well-known that both mass and energy are conserved over time along the NLS flow (1.1).

As a direct application of conservation laws and Hölder’s inequality, we have the following uniform estimate of the kinetic energy uLtLx2(I×𝕋3)2=:uLtLx2(I)2\|\nabla u\|_{L_{t}^{\infty}L_{x}^{2}(I\times\mathbb{T}^{3})}^{2}=:\|\nabla u\|_{L_{t}^{\infty}L_{x}^{2}(I)}^{2} for a solution uu of (1.1). (As mentioned in Notations, we omit the space 𝕋3\mathbb{T}^{3} for convenience.) We include the proof below for completeness (see the original argument in [33, Sec. 2.2]).

Lemma 2.10.

Let uX1(I)u\in X^{1}(I) be a solution of (1.1) with u(0)=u0u(0)=u_{0}. Then

(2.4) uLtLx2(I)2E(u0)+M(u0)2.\displaystyle\|\nabla u\|_{L_{t}^{\infty}L_{x}^{2}(I)}^{2}\lesssim E(u_{0})+M(u_{0})^{2}.
Proof of Lemma 2.10.

Recall the mass and energy defined in (2.3). If both μ1\mu_{1} and μ2\mu_{2} are positive, it is easy to see that for any tt

(2.5) u(t)Lx22E.\displaystyle\left\|\nabla u(t)\right\|_{L_{x}^{2}}^{2}\lesssim E.

If μ1<0\mu_{1}<0 and μ2>0\mu_{2}>0, then we use the following inequality for some C(μ1,μ2)C(\mu_{1},\mu_{2})

(2.6) |μ1|4|u(t,x)|4+|μ2|6|u(t,x)|6C(μ1,μ2)|u(t,x)|2\displaystyle-\frac{\lvert\mu_{1}\rvert}{4}\lvert u(t,x)\rvert^{4}+\frac{\lvert\mu_{2}\rvert}{6}\lvert u(t,x)\rvert^{6}\geq-C(\mu_{1},\mu_{2})\lvert u(t,x)\rvert^{2}

to conclude that for any tt

(2.7) u(t)Lx22E+M2.\displaystyle\left\|\nabla u(t)\right\|_{L_{x}^{2}}^{2}\lesssim E+M^{2}.

3. Proof of Theorem 1.1

In this section we give the proof of Theorem 1.1. As the precise value of |I|=2T|I|=2T has only impact on the numerical constants, without loss of generality, we may also assume that |I|1|I|\leq 1 throughout this section.

We begin with recording a trilinear estimate deduced in [16].

Lemma 3.1 (Trilinear estimate, [16]).

Suppose that ui=PNiuu_{i}=P_{N_{i}}u, for i=1,2,3i=1,2,3 satisfying N1N2N31N_{1}\geq N_{2}\geq N_{3}\geq 1. Then there exists some δ>0\delta>0 such that

(3.1) u1u2u3Lt,x2(I)(N3N1+1N2)δu1Y0(I)u2Z(I)u3Z(I).\|u_{1}u_{2}u_{3}\|_{L_{t,x}^{2}(I)}\lesssim\left(\frac{N_{3}}{N_{1}}+\frac{1}{N_{2}}\right)^{\delta}\|u_{1}\|_{Y^{0}(I)}\|u_{2}\|_{Z^{\prime}(I)}\|u_{3}\|_{Z^{\prime}(I)}.

For dealing with the cubic term, we also need the following bilinear estimate.

Lemma 3.2 (Bilinear estimate).

Suppose that ui=PNiuu_{i}=P_{N_{i}}u, for i=1,2i=1,2 satisfying N1N21N_{1}\geq N_{2}\geq 1. Then there exists some κ>0\kappa>0 such that

(3.2) u1u2Lt,x2(I)(N2N1+1N2)κ|I|120u1Y0(I)u2Z(I).\|u_{1}u_{2}\|_{L^{2}_{t,x}(I)}\lesssim\left(\frac{N_{2}}{N_{1}}+\frac{1}{N_{2}}\right)^{\kappa}|I|^{\frac{1}{20}}\|u_{1}\|_{Y^{0}(I)}\|u_{2}\|_{Z^{\prime}(I)}.
Proof of Lemma 3.2.

For any cube CC centered at ξ3\xi\in\mathbb{Z}^{3} of size N2N_{2}, using Hölder’s inequality and the Strichartz estimate (2.2), we have

(PCu1)u2Lt,x2(I)\displaystyle\|(P_{C}u_{1})u_{2}\|_{L^{2}_{t,x}(I)} PCu1Lt,x4(I)u2Lt,x4(I)|I|110PCu1Lt,x203(I)u2Lt,x4(I)\displaystyle\lesssim\|P_{C}u_{1}\|_{L^{4}_{t,x}(I)}\|u_{2}\|_{L^{4}_{t,x}(I)}\lesssim|I|^{\frac{1}{10}}\|P_{C}u_{1}\|_{L^{\frac{20}{3}}_{t,x}(I)}\|u_{2}\|_{L^{4}_{t,x}(I)}
|I|110PCu1UΔ203Lx2(I)(N234u2Lt,x4(I))|I|110PCu1Y0(I)(N234u2Lt,x4(I)).\displaystyle\lesssim|I|^{\frac{1}{10}}\|P_{C}u_{1}\|_{U_{\Delta}^{\frac{20}{3}}L_{x}^{2}(I)}\left(N_{2}^{\frac{3}{4}}\|u_{2}\|_{L^{4}_{t,x}(I)}\right)\lesssim|I|^{\frac{1}{10}}\|P_{C}u_{1}\|_{Y^{0}(I)}\left(N_{2}^{\frac{3}{4}}\|u_{2}\|_{L^{4}_{t,x}(I)}\right).

Using the orthogonality and summability properties of Y0(I)Y^{0}(I) and the definition of Z(I)Z(I), the above estimate provides

(3.3) u1u2Lt,x2(I)2\displaystyle\|u_{1}u_{2}\|^{2}_{L^{2}_{t,x}(I)} |I|15CPCu1Y0(I)2(N234u2Lt,x4(I))2|I|15u1Y0(I)2u2Z(I)2,\displaystyle\lesssim|I|^{\frac{1}{5}}\sum_{C}\|P_{C}u_{1}\|^{2}_{Y^{0}(I)}\left(N_{2}^{\frac{3}{4}}\|u_{2}\|_{L^{4}_{t,x}(I)}\right)^{2}\lesssim|I|^{\frac{1}{5}}\|u_{1}\|^{2}_{Y^{0}(I)}\|u_{2}\|^{2}_{Z(I)},

where the sum is over all ξN213\xi\in N_{2}^{-1}\mathbb{Z}^{3}. It remains to prove

(3.4) u1u2Lt,x2(I)(N2N1+1N2)κ0u1Y0(I)u2Y1(I)\displaystyle\|u_{1}u_{2}\|_{L^{2}_{t,x}(I)}\lesssim\left(\frac{N_{2}}{N_{1}}+\frac{1}{N_{2}}\right)^{\kappa_{0}}\|u_{1}\|_{Y^{0}(I)}\|u_{2}\|_{Y^{1}(I)}

for some κ0>0\kappa_{0}>0, the desired claim follows then from interpolating (3.3) and (3.4) and the embedding X1Y1X^{1}\hookrightarrow Y^{1}. Again, using the orthogonality and summability properties of Y0(I)Y^{0}(I) and Strichartz estimate (2.2), we obtain that

u1u2Lt,x2(I)2\displaystyle\|u_{1}u_{2}\|^{2}_{L^{2}_{t,x}(I)} C(PCu1)u2Lt,x2(I)2C(N212PCu1UΔ4Lx2(I)u2UΔ4Lx2(I))2\displaystyle\lesssim\sum_{C}\|(P_{C}u_{1})u_{2}\|^{2}_{L^{2}_{t,x}(I)}\lesssim\sum_{C}\left(N_{2}^{\frac{1}{2}}\|P_{C}u_{1}\|_{U^{4}_{\Delta}L_{x}^{2}(I)}\|u_{2}\|_{U^{4}_{\Delta}L_{x}^{2}(I)}\right)^{2}
C(N212PCu1Y0(I)u2Y1(I))2N21u1Y0(I)2u2Y1(I)2,\displaystyle\lesssim\sum_{C}\left(N_{2}^{-\frac{1}{2}}\|P_{C}u_{1}\|_{Y^{0}(I)}\|u_{2}\|_{Y^{1}(I)}\right)^{2}\lesssim N_{2}^{-1}\|u_{1}\|^{2}_{Y^{0}(I)}\|u_{2}\|^{2}_{Y^{1}(I)},

as desired. ∎

As a direct consequence of the multilinear estimates deduced from Lemmas 3.1 and 3.2, we immediately obtain the following nonlinear estimates.

Lemma 3.3 (Nonlinear estimates).

For ukX1(I)u_{k}\in X^{1}(I), k=1,2,3,4,5k=1,2,3,4,5, the following estimates

(3.5) i=15u~iN1(I)\displaystyle\Big{\|}\prod_{i=1}^{5}\widetilde{u}_{i}\Big{\|}_{N^{1}(I)} {i1,i5}={1,2,3,4,5}ui1X1(I)iki1uikZ(I),\displaystyle\lesssim\sum_{\{i_{1},...i_{5}\}=\{1,2,3,4,5\}}\|u_{i_{1}}\|_{X^{1}(I)}\cdot\prod_{i_{k}\neq i_{1}}\|u_{i_{k}}\|_{Z^{\prime}(I)},
(3.6) i=13u~iN1(I)\displaystyle\Big{\|}\prod_{i=1}^{3}\widetilde{u}_{i}\Big{\|}_{N^{1}(I)} |I|120{i1,i2,i3}={1,2,3}ui1X1(I)iki1uikZ(I)\displaystyle\lesssim|I|^{\frac{1}{20}}\sum_{\{i_{1},i_{2},i_{3}\}=\{1,2,3\}}\|u_{i_{1}}\|_{X^{1}(I)}\cdot\prod_{i_{k}\neq i_{1}}\|u_{i_{k}}\|_{Z^{\prime}(I)}

hold true, where u~{u,u¯}\widetilde{u}\in\{u,\bar{u}\}.

Proof of Lemma 3.3.

(3.5) and (3.6) can be proved, words by words, by using the arguments from [16, Lem. 3.2] and [17, Lem. 3.2], respectively, which make use of Lemma 3.1 as well as Lemma 3.2. We thus omit the repeating arguments. ∎

Having all the preliminaries we are in a position to prove Theorem 1.1.

Proof of Theorem 1.1.

We define the contraction mapping

Φ(u)\displaystyle\Phi(u) :=eitΔu0iμ10tei(ts)Δ|u|2u𝑑siμ20tei(ts)Δ|u|4u𝑑s.\displaystyle:=e^{it\Delta}u_{0}-i\mu_{1}\int_{0}^{t}e^{i(t-s)\Delta}|u|^{2}u\,ds-i\mu_{2}\int_{0}^{t}e^{i(t-s)\Delta}|u|^{4}u\,ds.

We aim to show that by choosing δ0\delta_{0} sufficiently small, the mapping Φ\Phi defines a contraction on the metric space

𝒮:={uX1(I):uX1(I)2CE,uZ(I)2δ},\mathcal{S}:=\{u\in X^{1}(I):\|u\|_{X^{1}(I)}\leq 2CE,\,\|u\|_{Z^{\prime}(I)}\leq 2\delta\},

where C1C\geq 1 is some universal constant. The space 𝒮\mathcal{S} is particularly a complete metric space equipping with the metric ρ(u,v):=uvX1(I)\rho(u,v):=\|u-v\|_{X^{1}(I)}. First we show that for δ\delta small we have Φ(𝒮)𝒮\Phi(\mathcal{S})\subset\mathcal{S}. Indeed, using Lemma 3.3 we obtain

Φ(u)X1(I)\displaystyle\|\Phi(u)\|_{X^{1}(I)} eitΔu0X1(I)+CuX1(I)uZ(I)2+CuX1(I)uZ(I)4\displaystyle\leq\|e^{it\Delta}u_{0}\|_{X^{1}(I)}+C\|u\|_{X^{1}(I)}\|u\|^{2}_{Z^{\prime}(I)}+C\|u\|_{X^{1}(I)}\|u\|^{4}_{Z^{\prime}(I)}
Cu0Hx1+C(2CE)(2Cδ)2+C(2CE)(2Cδ)4\displaystyle\leq C\|u_{0}\|_{H_{x}^{1}}+C(2CE)(2C\delta)^{2}+C(2CE)(2C\delta)^{4}
CE(1+(2C)3δ2+(2C)5δ4)2CE,\displaystyle\leq CE(1+(2C)^{3}\delta^{2}+(2C)^{5}\delta^{4})\leq 2CE,
Φ(u)Z(I)\displaystyle\|\Phi(u)\|_{Z^{\prime}(I)} eitΔu0Z(I)+CuX1(I)uZ(I)2+CuX1(I)uZ(I)4\displaystyle\leq\|e^{it\Delta}u_{0}\|_{Z^{\prime}(I)}+C\|u\|_{X^{1}(I)}\|u\|^{2}_{Z^{\prime}(I)}+C\|u\|_{X^{1}(I)}\|u\|^{4}_{Z^{\prime}(I)}
δ+C(2CE)(2Cδ)2+C(2CE)(2Cδ)42δ\displaystyle\leq\delta+C(2CE)(2C\delta)^{2}+C(2CE)(2C\delta)^{4}\leq 2\delta

by choosing δ\delta sufficiently small.

It is left to show that Φ\Phi is a contraction for small δ\delta. Again, using Lemma 3.3 we obtain

Φ(u)Φ(v)X1(I)\displaystyle\|\Phi(u)-\Phi(v)\|_{X^{1}(I)} C(uX1(I)+vX1(J))(uZ(I)+vZ(I))uvX1(I)\displaystyle\leq C(\|u\|_{X^{1}(I)}+\|v\|_{X^{1}(J)})(\|u\|_{Z^{\prime}(I)}+\|v\|_{Z^{\prime}(I)})\|u-v\|_{X^{1}(I)}
+C(uX1(I)+vX1(J))(uZ(I)+vZ(I))3uvX1(I)\displaystyle\quad+C(\|u\|_{X^{1}(I)}+\|v\|_{X^{1}(J)})(\|u\|_{Z^{\prime}(I)}+\|v\|_{Z^{\prime}(I)})^{3}\|u-v\|_{X^{1}(I)}
C(4CE)(4Cδ+(4Cδ)3)uvX1(I)12uvX1(I)\displaystyle\leq C(4CE)(4C\delta+(4C\delta)^{3})\|u-v\|_{X^{1}(I)}\leq\frac{1}{2}\|u-v\|_{X^{1}(I)}

by choosing δ\delta small. This completes the proof of Theorem 1.1. ∎

4. Proof of Theorem 1.2

In this section we prove Theorem 1.2. Again, without loss of generality, we may assume that |I|1|I|\leq 1 and μ2=1\mu_{2}=1. The goal is therefore to show that (1.1) is well-posed on II without imposing the smallness condition (1.2). We firstly introduce the following large data Black-Box-Theory for defocusing quintic NLS on 𝕋3\mathbb{T}^{3} from [16].

Theorem 4.1 (GWP of the defocusing quintic NLS on 𝕋3\mathbb{T}^{3}, [16]).

Consider the defocusing quintic NLS

(4.1) (it+Δ)v=|v|4v\displaystyle(i\partial_{t}+\Delta)v=|v|^{4}v

on I=(T,T)I=(-T,T) with |I|1|I|\leq 1. Then for any v0Hx1v_{0}\in H_{x}^{1}, (4.1) possesses a unique solution vX1(I)v\in X^{1}(I) with v(0)=v0v(0)=v_{0}. Moreover, we have

(4.2) vX1(I)+vZ(I)C(M(v0),E(v0))<.\displaystyle\|v\|_{X^{1}(I)}+\|v\|_{Z(I)}\leq C(M(v_{0}),E(v_{0}))<\infty.

We are now ready to prove Theorem 1.2.

Proof of Theorem 1.2.

Consider first a subinterval J=(a,b)IJ=(a,b)\subset I and the difference NLS equation

(4.3) (it+Δ)w=μ1|v+w|2(v+w)+|v+w|4(v+w)|v|4v\displaystyle(i\partial_{t}+\Delta)w=\mu_{1}|v+w|^{2}(v+w)+|v+w|^{4}(v+w)-|v|^{4}v

on JJ with w(a)=0w(a)=0 and vv a solution of (4.1) with v(a)=u(a)v(a)=u(a). The proof of Theorem 1.2 for the interval JJ follows once we are able to prove that (4.3) possesses a unique solution wX1(J)w\in X^{1}(J). By (4.2) and the definition of the ZZ^{\prime}-norm, we may partition II into disjoint consecutive intervals I=j=0mIjI=\cup_{j=0}^{m}\,I_{j} with Ij=[tj,tj+1]I_{j}=[t_{j},t_{j+1}] such that

(4.4) vZ(Ij)η\displaystyle\|v\|_{Z^{\prime}(I_{j})}\leq\eta

for some to be determined small η\eta. From now on we consider those IjI_{j} such that IjJI_{j}\cap J\neq\varnothing (say m1jm2m_{1}\leq j\leq m_{2}). Without loss of generality we may also assume that J=j=m1m2IjJ=\cup_{j=m_{1}}^{m_{2}}\,I_{j}. Suppose at the moment that for a given IjI_{j}, the solution ww satisfies

(4.5) max{wLtHx1(Ij),wX1(Ij)}(2C)j|J|120\displaystyle\max\{\|w\|_{L_{t}^{\infty}H_{x}^{1}(I_{j})},\|w\|_{X^{1}(I_{j})}\}\leq(2C)^{j}|J|^{\frac{1}{20}}

with some universal constant C>0C>0.

We consider the contraction mapping

Γjw:=ei(ttj)Δw(tj)itjtei(ts)Δ(μ1|v+w|2(v+w)+|v+w|4(v+w)|v|4v)(s)𝑑s\Gamma_{j}w:=e^{i(t-t_{j})\Delta}w(t_{j})-i\int_{t_{j}}^{t}e^{i(t-s)\Delta}(\mu_{1}|v+w|^{2}(v+w)+|v+w|^{4}(v+w)-|v|^{4}v)(s)\,ds

on the set

𝒮j:={wX1(Ij):max{wLtHx1(Ij),wX1(Ij)}(2C)j|J|120},\mathcal{S}_{j}:=\{w\in X^{1}(I_{j}):\max\{\|w\|_{L_{t}^{\infty}H_{x}^{1}(I_{j})},\|w\|_{X^{1}(I_{j})}\}\leq(2C)^{j}|J|^{\frac{1}{20}}\},

which is a complete metric space with respect to the metric

(4.6) ρ(u1,u2):=u1u2X1(Ij).\displaystyle\rho(u_{1},u_{2}):=\|u_{1}-u_{2}\|_{X^{1}(I_{j})}.

We show that by choosing η\eta and |J||J| small, the mapping Γj\Gamma_{j} defines a contraction on 𝒮j\mathcal{S}_{j}. Using Strichartz estimates, Lemma 3.3, the embedding X1ZX^{1}\hookrightarrow Z^{\prime} and the inductive hypothesis

(4.7) w(tj)Hx1(2C)j1|J|120\displaystyle\|w(t_{j})\|_{H_{x}^{1}}\leq(2C)^{j-1}|J|^{\frac{1}{20}}

we obtain

max{ΓjwLtHx1(Ij),ΓjwX1(Ij)}\displaystyle\quad\max\{\|\Gamma_{j}w\|_{L_{t}^{\infty}H_{x}^{1}(I_{j})},\|\Gamma_{j}w\|_{X^{1}(I_{j})}\}
Cw(tj)Hx1+C~i=14(wX1(Ij)5ivZ(Ij)i+vX1(Ij)wX1(Ij)5ivZ(Ij)i1)\displaystyle\leq C\|w(t_{j})\|_{H_{x}^{1}}+\widetilde{C}\sum_{i=1}^{4}(\|w\|_{X^{1}(I_{j})}^{5-i}\|v\|^{i}_{Z^{\prime}(I_{j})}+\|v\|_{X^{1}(I_{j})}\|w\|_{X^{1}(I_{j})}^{5-i}\|v\|_{Z^{\prime}(I_{j})}^{i-1})
+C~wX1(Ij)5+C~|J|120v+wX1(Ij)v+wZ(Ij)2\displaystyle\quad+\widetilde{C}\|w\|^{5}_{X^{1}(I_{j})}+\widetilde{C}|J|^{\frac{1}{20}}\|v+w\|_{X^{1}(I_{j})}\|v+w\|_{Z^{\prime}(I_{j})}^{2}
[C((2C)j1|J|120)]+[C~i=13((2C)j|J|120)5iηi+C~vX1(I)i=23((2C)j|J|120)5iηi1\displaystyle\leq\Big{[}C((2C)^{j-1}|J|^{\frac{1}{20}})\Big{]}+\Big{[}\widetilde{C}\sum_{i=1}^{3}((2C)^{j}|J|^{\frac{1}{20}})^{5-i}\eta^{i}+\widetilde{C}\|v\|_{X^{1}(I)}\sum_{i=2}^{3}((2C)^{j}|J|^{\frac{1}{20}})^{5-i}\eta^{i-1}
+C~vX1(I)((2C)j|J|120)4+C~|J|120((2C)j|J|120)η2\displaystyle\quad+\widetilde{C}\|v\|_{X^{1}(I)}((2C)^{j}|J|^{\frac{1}{20}})^{4}+\widetilde{C}|J|^{\frac{1}{20}}((2C)^{j}|J|^{\frac{1}{20}})\eta^{2}
+C~|J|120vX1(I)((2C)j|J|120)2+C~|J|120((2C)j|J|120)3]\displaystyle\quad+\widetilde{C}|J|^{\frac{1}{20}}\|v\|_{X^{1}(I)}((2C)^{j}|J|^{\frac{1}{20}})^{2}+\widetilde{C}|J|^{\frac{1}{20}}((2C)^{j}|J|^{\frac{1}{20}})^{3}\Big{]}
+[C~|J|120vX1(I)η2+C~((2C)j|J|120)η4+C~vX1(I)((2C)j|J|120)η3]\displaystyle\quad+\Big{[}\widetilde{C}|J|^{\frac{1}{20}}\|v\|_{X^{1}(I)}\eta^{2}+\widetilde{C}((2C)^{j}|J|^{\frac{1}{20}})\eta^{4}+\widetilde{C}\|v\|_{X^{1}(I)}((2C)^{j}|J|^{\frac{1}{20}})\eta^{3}\Big{]}
(4.8) =:A1+A2+A3\displaystyle=:A_{1}+A_{2}+A_{3}

for some C~>0\widetilde{C}>0. We have A1=12(2C)j|J|120A_{1}=\frac{1}{2}(2C)^{j}|J|^{\frac{1}{20}}. By choosing η=η(vX1(I))=η(u(a)Hx1)\eta=\eta(\|v\|_{X^{1}(I)})=\eta(\|u(a)\|_{H_{x}^{1}}) sufficiently small depending on u(a)Hx1\|u(a)\|_{H_{x}^{1}} we have A314(2C)j|J|120A_{3}\leq\frac{1}{4}(2C)^{j}|J|^{\frac{1}{20}}. For A2A_{2}, we may choose |J|η~|J|\leq\widetilde{\eta} with η~\widetilde{\eta} depending on 0jm0\leq j\leq m so that A214(2C)j|J|120A_{2}\leq\frac{1}{4}(2C)^{j}|J|^{\frac{1}{20}} is valid for all jj. Indeed, the dependence of JJ on jj can be expressed as on u(a)Hx1\|u(a)\|_{H_{x}^{1}} via jmC(vZ(I))=C(u(a)Hx1)j\leq m\leq C(\|v\|_{Z^{\prime}(I)})=C(\|u(a)\|_{H_{x}^{1}}), where the last equality is deduced from Theorem 4.1. Similarly we are able to show that by shrinking η\eta and η~\widetilde{\eta} if necessary, we have

Γj(u1)Γj(u2)X1(Ij)12u1u2X1(Ij)\|\Gamma_{j}(u_{1})-\Gamma_{j}(u_{2})\|_{X^{1}(I_{j})}\leq\frac{1}{2}\|u_{1}-u_{2}\|_{X^{1}(I_{j})}

for all 0jm10\leq j\leq m-1. The proof is analogous and we hence omit the details here. The claim then follows from the Banach fixed point theorem.

Now we close our proof by removing the smallness of |J||J|. By Lemma 2.10 we have uLtHx1(I)<\|u\|_{L_{t}^{\infty}H_{x}^{1}(I)}<\infty. Thus we may choose (η,η~)=(η,η~)(uLtHx1(I))(\eta,\widetilde{\eta})=(\eta,\widetilde{\eta})(\|u\|_{L_{t}^{\infty}H_{x}^{1}(I)}) in a way such that the previous proof is valid for all J=[a,b]J=[a,b] for any aIa\in I with |J|η~|J|\leq\widetilde{\eta}. We now partition II into disjoint consecutive subintervals I=j=0nJjI=\cup_{j=0}^{n}\,J_{j} with |Jj|η~|J_{j}|\leq\widetilde{\eta} for all 0jn0\leq j\leq n, and the proof follows by applying the previous step to each JjJ_{j} and summing up. ∎

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