\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2014 (2014), No. 217, pp. 1--16.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu}
\thanks{\copyright 2014 Texas State University - San Marcos.}
\vspace{9mm}}

\begin{document}
\title[\hfilneg EJDE-2014/217\hfil Stability of traveling-wave solutions]
{Stability of traveling-wave solutions for a Schr\"odinger system
with power-type nonlinearities}

\author[N. V. Nguyen, R. Tian, Z.-Q. Wang \hfil EJDE-2014/217\hfilneg]
{Nghiem V. Nguyen, Rushun Tian, Zhi-Qiang Wang}  % in alphabetical order

\address{Nghiem V. Nguyen \newline
Department of Mathematics and Statistics,
Utah State University, Logan, UT 84322, USA}
\email{nghiem.nguyen@usu.edu}

\address{Rushun Tian \newline
Academy of Mathematics and System Science,
Chinese Academy of Sciences,
Beijing 100190,  China}
\email{rushun.tian@amss.ac.cn}

\address{Zhi-Qiang Wang \newline
Department of Mathematics and Statistics,
Utah State University, Logan, UT 84322, USA}
\email{zhiqiang.wang@usu.edu}

\thanks{Submitted November 22, 2013. Published October 16, 2014.}
\subjclass[2000]{35A15, 35B35, 35Q35, 35Q55}
\keywords{Solitary wave solutions; stability; nonlinear Schr\"odinger system;
\hfill\break\indent  traveling-wave solutions}

\begin{abstract}
 In this article, we  consider the Schr\"odinger system with
 power-type nonlinearities,
 \[
 i\frac{\partial}{\partial t}u_j+ \Delta u_j +  a|u_j|^{2p-2} u_j
 + \sum_{k=1, k\neq j}^m b |u_k|^{p}|u_j|^{p-2} u_j=0;  \quad x\in \mathbb{R}^N, 
 \]
 where  $j=1,\dots ,m$, $u_j$ are complex-valued functions of $(x,t)\in \mathbb{R}^{N+1}$,
 $a,b$ are real numbers.  It is shown that when $b>0$, and $a+(m-1)b>0$,
 for a certain range of $p$, traveling-wave solutions of this system exist,
 and are orbitally stable.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{corollary}[theorem]{Corollary}
\allowdisplaybreaks

\section{Introduction}

It is well-understood that the nonlinear Schr\"odinger (NLS) equation
\begin{equation}
iu_t+ \Delta u \pm  |u|^2 u=0
\label{NLS}
\end{equation}
where $u$ is a complex-valued function of $(x,t) \in \mathbb{R}^{N+1}$,
arises in a generic situation. The equation describes evolution of small amplitude,
slowly varying wave packets in a nonlinear media \cite{BN}.
Indeed, it has been derived in such diverse fields as deep water waves
\cite{Z1}, plasma physics \cite{Z2}, nonlinear optical fibers \cite{HT1,HT2},
magneto-static spin waves \cite{ZP}, to name a few. The $m$-coupled nonlinear
Schr\"odinger (CNLS) system
\begin{equation}
i\frac{\partial}{\partial t}u_j+ \Delta u_j
+  a_{j}|u_j|^{2p-2} u_j + \sum_{k=1, k\neq j}^m b_{kj}
|u_k|^{p}|u_j|^{p-2} u_j=0;  \quad x\in \mathbb{R}^N,
\label{CNLS}
\end{equation}
for $j=1,\dots ,m$,
where $u_j$ are complex-valued functions of $(x,t)\in \mathbb{R}^{N+1}$,
$a_j$ and $b_{jk}=b_{kj}$ are real numbers,
arise physically under conditions similar to those described by \eqref{NLS}.
The CNLS
system also models physical systems in which the field has more than one components;
for example, in optical fibers and waveguides, the propagating electric field has
two components that are transverse to the direction of propagation.
When $m=2$, the CNLS system also arises in the Hartree-Fock theory for a double
condensate; i.e., a binary mixture of Bose-Einstein condensates in two different
hyperfine states.  Readers are referred to the works \cite{BN,HT1,HT2,Z1,Z2}
for the derivation as well as applications of this system.

The system admits the conserved quantities
\begin{gather*}
\begin{aligned}
&E(u_1,u_2, \dots, u_m)\\
&= \int_{\mathbb{R}^N} \Big[\sum_{j=1}^{m}\big(|\nabla u_j(x)|^2  -
\frac{a_{j}}{p}|u_j(x)|^{2p}\big)
 -\sum_{j,k=1;j\not=k}^m \frac{b_{jk}}{p}|u_k(x)|^p|u_j(x)|^p\Big]dx,
\end{aligned}\\
Q(u_j)= \int_{\mathbb{R}^N} |u_j(x,t)|^2dx,
\end{gather*}
for $j=1,2,\dots,m$.

We are interested in traveling-wave solutions for \eqref{CNLS} of the form
$u(x,t) = (u_1,u_2, \dots, u_m)$, where for $j=1,2,\dots, m$,
\begin{equation}
u_j(x,t) = e^{i[(\omega_j -\frac{1}{4}|\theta|^2) t +\frac{1}{2}\theta x +m_j]}
\varphi_{j,\omega_j}(x-\theta t)
\label{0}
\end{equation}
for $m_j, \omega_j$  real constants, $\theta \in \mathbb{R}^N$  with
$\omega_j-\frac{1}{4}|\theta|^2>0$ and
$\varphi_{j,\omega_j}: \mathbb{R}^N \to \mathbb{R}$ are functions of one
variable whose values are small when
$|\xi|=|x-\theta t|$ is large.
An important special case arises when $m_j=0$, $\theta =\vec{0}$ and
$\omega_j=\Omega_j>0$.  These special solutions
(where, to emphasize the dependence on the parameters, we write
$\varphi_{j,\omega_j}$ as $\phi_{j, \Omega_j}$)
\begin{equation}
u_j(x,t) = e^{i\Omega_j t} \phi_{j,\Omega_j}(x)
\label{00}
\end{equation}
 are often referred to as \textit{standing waves}.
It is easy to see that, for example, standing waves are
solutions of \eqref{CNLS} if and only if $(u_1, u_2,\dots, u_m)$ is a
critical point for the functional
$E(u_1,u_2,\dots, u_m)$, when the functions
$u_j(x)$ are varied subject to the $m$ constraints that $Q(u_j)$ be held constant.
If $(u_1,u_2,\dots,u_m)$ is not only a critical point but in fact a global
 minimizer then the standing wave is called a \textit{ground-state solution}.
In some cases, namely when $p=2$, $N=1$ and certain conditions on $a_j, b_{jk}$
(see, for example, \cite{NW,NW2,NVN}), it is possible to show further that
the ground-state solutions are solitary waves with the
usual $\operatorname{sech}$-profile.

One question unique to such type of nonlinear systems as \eqref{CNLS} is to study
the existence and stability of {\it nontrivial solutions} $(u_1, \dots , u_m)$;
that is, all components of the solutions are non-zero, and they may be refereed
to as co-existing solutions or vector
solutions. For the system \eqref{CNLS}, there are  many semi-trivial
solutions (or collapsing solutions) which are solutions with at least one
component being zero. In those cases, the system collapses into system of
lower orders.
For example, our result in \cite{NW} shows that for the 2-coupled system,
(that is, when $m=p=2$ and $N=1$) there
are obstructions to the existence and stability of
nontrivial solutions with all components being positive. Roughly
speaking, our result says that in order to have positive non-trivial
solutions, the nonlinear couplings have to be either small or large.  Thus this is
a situation where multiple solutions exist and classifying and
distinguishing the solutions becomes an important and difficult
issue. Intensive work has been done in the last few years, see
\cite{amco1, BW, BWW, dww, lw1, lw2, liuw, MMP, pom, si,
ww1, ww2}. All these works have been mainly on $2$-systems or with
small couplings. Despite the partial progress made so far,
many difficult questions remain open and little is known for
$m-$systems for $m\geq 3$.

\section{Statement of results}

In this work, we  concentrate on the case when $a_{j}=a$ and $b_{kj}=b_{jk}=b$.
However, we also discuss how
the method can be extended to include the general case.
In particular, we will employ the techniques used in
\cite{NW,NW2,O} to show the existence and stability of ground state solutions
to the system
\begin{equation}
\begin{gathered}
i\frac{\partial}{\partial t}u_j+ \Delta u_j +  a|u_j|^{2p-2} u_j
+ \sum_{k=1, k\neq j}^m b
|u_k|^{p}|u_j|^{p-2} u_j=0;  \quad x\in \mathbb{R}^N, \\
\big(u_1(\cdot,0),\dots,u_m(\cdot,0)\big) =
(u_{10},\dots,u_{m0})
\end{gathered}
\label{NNLS}
\end{equation}
for $j=1,\dots ,m$ and for a certain range of $p$.

Logically, prior to a discussion of stability in terms of perturbations of the
initial data should be a theory for the initial-valued problem itself.
This issue has been studied in a previous work of ours (\cite{NTDS}).
In that work, the contraction mapping technique based on Strichartz estimates
was used to first establish local well-posedness in
$H^1_{\mathbb C}(\mathbb{R}^N)\times \dots
\times H^1_{\mathbb C}(\mathbb{R}^N): \equiv X^{(m)}$ for $2\leq p<N/(N-2)$.
To show the Lipschitz continuity for the nonlinear terms, the approach
necessitates $2\leq p$.  This condition puts a restriction on the applicable
range of $p$ for dimension $1\leq N\leq 3$  for the proof of local existence.
It is worth pointing out that there are cases when $1\leq p$ is allowed. For
example, if $u_j=A_{j}u$ for some real constants $A_{j}$, then the
system~\eqref{CNLS} is uncoupled and the result follows directly
from \cite{Ca1}, provided the initial data are related accordingly.
One technical point deserves some comments here. For the single NLS equation
of the type \eqref{NLS}, the nonlinear term $g(u)= |u|^{\alpha} u$ with
$\alpha\geq 0$ satisfies the Lipschitz continuity for some exponents
$r_j,\rho_j \in [2,2N/(N-2)\big)$, $(r_j, \rho_j \in [2,\infty]$ if $N=1$)
 $$
 \|g(u)-g(v)\|_{L^{\rho_j'}} \leq C(M) \|u-v\|_{L^{r_j}}
$$
 where $\frac{1}{\rho} + \frac{1}{\rho'} =1$, for all $u,v \in H^1(\mathbb{R}^N)$
such that $\|u\|_{H^1}, \|v\|_{H^1} \leq M$.  Using this fact, it was shown
(see for example, \cite{Ca1}) that the Cauchy problem for NLS equation of the
type \eqref{NLS} is well-posed.  It was claimed by
 Fanelli and Montefusco \cite{FM} and Song \cite{so2} that the local
well-posedness result for \eqref{CNLS} for $m=2$ follows from the contraction
mapping argument for $1\leq p<N/(N-2)$ (the power has been re-scaled here
for comparison).  The system in this case takes the form
 \begin{gather*}
 iu_{1t}+ u_{1xx} + (a |u_1|^{2p-2} + b |u_2|^p|u_1|^{p-2}) u_1=0,\\
 iu_{2t}+ u_{2xx} + (b |u_1|^p|u_2|^{p-2} + c |u_2|^{2p-2}) u_2=0.
 \end{gather*}

 While it is true that there are instances when $1\leq p$ is acceptable as
mentioned above, it appears the range for $p$ cannot be extended to include $p<2$
in general without loss of Lipschitz continuity and thus the claim is doubtful.
It may be possible that other methods allow for the local well-posedness when
$1\leq p<N/(N-2)$ in which case the result for local existence holds for all
dimensions $N$.  To extend the local existence result to a global one, all that
is needed is $p< 1+2/N$.  The condition $p<1+2/N$ when coupled with
 $2\leq p< N/(N-2)$ for local existence implies that $N=1$.

In light of the above mentioned well-posedness results, the assumption that
$2\leq p<3$ is needed (which implies that $N=1$).  (See also Remark 1 below.)
The precise statements of our main results are as follows.
Let $\phi(x)$ be the unique
positive, spherically symmetric and decreasing solution in
$H^1_{\mathbb C}(\mathbb{R}^N)$ of
\[
-\Delta f + f = |f|^{2p-2} f,
\]
and for any $\Omega>0$, let
\[
\phi_{\Omega,a+(m-1)b}(x)
=\Big(\frac{\Omega}{a+(m-1)b}\Big)^{\frac{1}{2(p-1)}}\phi(\sqrt \Omega x).
\]
In Section 3, we establish the stability result for ground-state solutions
of \eqref{NNLS}.

\begin{proposition} \label{thm1} %\label{prop2.1} 
For $2\leq p<3$ and $N=1$, let $a$,$b \in \mathbb{R}$ such that
$b>0$ and $a+(m-1)b>0$.
Then for any $\Omega>0$, the ground-state solutions
\[
\big(e^{i\Omega t} \phi_{\Omega,a+(m-1)b}(x), \dots,
e^{i\Omega t}\phi_{\Omega,a+(m-1)b}(x)\big)
\]
 of \eqref{NNLS}
are orbitally stable in the following sense:
for any $\epsilon>0$, there exists $\delta>0$ such that if
$(u_{10},\dots, u_{m0})\in X^{(m)}$ with
$$
\inf_{\gamma_i,y \in \mathbb{R}}\big\{ \sum_{j=1}^m \big\|u_{j0}
- e^{i\gamma_j}\phi_{\Omega,a+(m-1)b}(\cdot+y)
\big\|_{H^1} \big\} <\delta.
$$
The solution $\big(u_1(x,t),\dots,u_m(x,t)\big)$ with
$\big(u_1(\cdot,0),\dots,u_m(\cdot,0)\big) =(u_{10},\dots,u_{m0})$ satisfies
$$
\inf_{\theta_i,y \in \mathbb{R}} \big\{\sum_{j=1}^m \big\|u_j -
e^{i\theta_j}\phi_{\Omega,a+(m-1)b}(\cdot+y)\big\|_{H^1} \big\} <\epsilon
$$
uniformly for all $t\geq 0$.
\end{proposition}

\begin{remark} \label{rmk1} \rm
(1) As mentioned above, when $1<p<1+2/N$ there still exist solutions for the
initial-valued problem, provided that
$\big(u_1(x,0),\dots, u_m(x,0)\big) \in X^{(m)}$ and satisfies
\begin{equation}
u_j = \Big(\frac{1}{a+(m-1)b}\Big)^{\frac{1}{2(p-1)}} u \quad
\text{for }j=1,2,\dots,m
\label{condA}
\end{equation}
for then the system reduces to one equation which is the nonlinear cubic
Schr\"odinger equation.  As we must require that the initial data satisfy
\eqref{condA}, the uniqueness for the Cauchy problem is preserved only
for the subspace
\begin{align*}
Y^{(m)}&:\equiv \big\{ \mathbf{u}(x,t) \in X^{(m)}:
\|u_j(x,t)\|_{L^2}=\big(\frac{1}{a+(m-1)b}\big)^{\frac{1}{2(p-1)}}
\|u\|_{L^2}, \;\forall t \big\} \\
&\subset X^{(m)}.
\end{align*}
Hence, instead of establishing the same stability theory as stated in
Theorem \ref{thm1}, using our methods we can still obtain stability for a
much more restricted subspace $Y^{(m)}$ in the case $1<p<1+2/N$ which
is valid for any space dimension.  We omit details here.

(2) Item (1) sheds some lights on why Proposition \ref{thm1} is to be
expected for $2\leq p<3$ and $N=1$.  Because the solution to the Cauchy
problem for \eqref{NNLS} is unique in this case (see \cite{NTDS}),
it follows that
$\{\mathbf{u} \in Y^{(m)}, \; \mathbf{u} \text{ solves \eqref{NNLS}}\}
=\{\mathbf{u} \in X^{(m)}, \; \mathbf{u} \text{ solves \eqref{NNLS}}\}$.
\end{remark}

Next, we show that instead of allowing the ground-state solutions to wander
 around at random, one can pick unique
trajectory and phase shifts that the ground-state solutions must follow.
Precisely, we have

\begin{theorem} \label{thm1A}
For $2\leq p<3$ and $N=1$, let $a$ and $b \in \mathbb{R}$ such that $b>0$
 and $a+(m-1)b>0$.
Then for any $\Omega>0$, the ground-state solutions
\[
\big(e^{i\Omega t} \phi_{\Omega,a+(m-1)b}(x), \dots,
e^{i\Omega t}\phi_{\Omega,a+(m-1)b}(x)\big)
\]
 of \eqref{NNLS} are orbitally
stable in the sense that for any
$\epsilon>0$, there exists $\delta>0$ such that if
$(u_{10}, \dots, u_{m0})\in X^{(m)}$
satisfies
\begin{equation}\label{initialdata}
 \inf_{\theta_j,
\eta\in\mathbb{R}}\Big\{\sum_{j=1}^m\|u_{j0}-e^{i\theta_j}
\phi_{\Omega,a+(m-1)b}(\cdot+\eta)\|_{H^1}.
\Big\}<\delta
\end{equation}
There exist $C^1$ mappings $\theta_j, \eta: \mathbb{R}\to\mathbb{R}$ for which the solution
$(u_1(x, t), \dots, u_m(x, t))$ with initial data
$(u_1(\cdot, 0), \dots, u_m(\cdot, 0))= (u_{10}, \dots, u_{m0})$ satisfies
\begin{equation}\label{continueextention}
 \sum_{j=1}^m\|u_j(\cdot, t) -
e^{i\theta_j(t)}\phi_{\Omega,a+(m-1)b}(\cdot+\eta(t))\|_{H^1}<\epsilon
\end{equation}
for all $t\geq0$. Moreover,
\begin{equation}\label{thm:estimates}
 \eta'(t)=O(\epsilon),\quad \theta_j'(t)=\Omega+O(\epsilon),
\end{equation}
for $j=1, \dots, m$ as $\epsilon\to0$, uniformly in $t$.
\end{theorem}

This result is then extended in Section 4 to include traveling-wave solutions.
For $\theta\in\mathbb{R}$, define the operator $T_\theta: H_\mathbb{C}^1(\mathbb{R})\to H_\mathbb{C}^1(\mathbb{R})$ by
\[
 (T_\theta u)(x)=\exp\Big(\frac{i\theta x}{2}\Big)u(x).
\]
For any pair $(\omega,\theta)\in\mathbb{R}\times\mathbb{R}$ such that
$\Omega=\omega-\frac{1}{4}\theta^2>0$, let
$\varphi_\omega=T_\theta\phi_\Omega$. It is straightforward to see that if
$(e^{i\Omega t}\phi_{\Omega},\dots,e^{i \Omega t}\phi_{\Omega})$ is a
 ground-state solution of \eqref{NNLS}, then
$(e^{i\omega t}\varphi_{\omega},\dots,e^{i\omega t}\varphi_{\omega})$
is a traveling-wave solution of \eqref{NNLS}.

\begin{corollary} \label{thm1B}
For $2\leq p<3$ and $N=1$, let $a$ and $b \in \mathbb{R}$ such that $b>0$
and $a+(m-1)b>0$.
The traveling-wave solutions
$(e^{i\omega t}\varphi_\omega, \dots, e^{i\omega t}\varphi_\omega)$ are orbitally
stable in the sense that for any $\epsilon>0$ given, there exists
$\delta=\delta(\varphi)>0$ such that if
\[
 \inf_{\vec{\gamma},y}\Big\{\sum_{j=1}^m\|u_{0j}-e^{i\gamma_j}\phi(\cdot+y)
\|_{H^1}\Big\}<\delta
\]
then there are $C^1$ mappings $p_j, q: \mathbb{R}\to\mathbb{R}$ for which the solution
 $\vec{u}=(u_1,\dots,u_m)$ with
initial data $\vec{u}_0=(u_{01},\dots,u_{0m})$ satisfies, for all $j=1,2,\dots,m$
\[
 \sum_{j=1}^m\|u_j(\cdot,t)-e^{ip_j(t)}\varphi_\omega(\cdot+q(t))
\|_{H^1}\leq\epsilon
\]
for all $t\geq0$. Moreover, $p_j$ and $q$ are close to $\omega$ and $\theta$
in the sense that
\[
 p_j'(t)=\omega+O(\epsilon)\hspace{1cm} q'(t)=\theta+O(\epsilon)
\]as $\epsilon\to0$, uniformly in $t$.
\end{corollary}

\begin{remark}\label{rmk2} \rm
It follows immediately from Remark 1 that Theorem \ref{thm1A} and
Corollary \ref{thm1B} hold in $Y^{(m)}$ for the case $1<p<1+2/N$.
\end{remark}

This article concludes with some comments and a discussion about
 how the method could be extended
to include the system \eqref{CNLS}.

\section{Stability results for the ground-state solutions}

\subsection{Variational problem}
Let $u_1, \dots, u_m \in H^1_{\mathbb C}(\mathbb{R}^N)$ and consider the
following functional associated with
conserved quantity of \eqref{NNLS}:
\begin{equation}
\begin{aligned}
&E^{(m)}(u_1,\dots,u_m)\\
&=\int_{\mathbb{R}^N}
\Big[\sum_{i=1}^{m}\big(|\nabla u_i(x)|^2  - \frac{a}{p}|u_i(x)|^{2p}\big)
 -\sum_{i,j=1;i\not=j}^m \frac{b}{p}|u_i(x)|^p|u_j(x)|^p\Big]dx.
\end{aligned} \label{E(m)}
\end{equation}
In the remainder of this article, it is assumed that $2\leq p<3$
(which implies that $N=1$) and that $b>0$ and $a+(m-1)b>0$.

\begin{remark} \label{rmk3} \rm
As mentioned previously,  to establish stability results
as well as to extend the local existence to a global one, all that is needed
is $p<1+2/N$.  This condition when coupled with $2\leq p< N/(N-2)$ for local
existence implies that $N=1$.  However,
there are instances when $p<2$ is permissible (see, for example Remark 1).
Thus,  to allow for the adaptability of the proofs obtained when $2\leq p<3$
to those instances, we refrain from taking $N=1$ directly, with the understanding
that when $2\leq p <3$ then $N=1$.
\end{remark}

 For $u\in H^1_{\mathbb{C}}(\mathbb{R}^N)$, define
\begin{equation}
E^{(m)}_1(u) = \int_{\mathbb{R}^N}\big( |\nabla u(x)|^2 
- \frac{a+(m-1)b}{p} |u(x)|^{2p}\big)dx. \label{E1m}
\end{equation}
It is clear that for any $\Omega>0$,
\[
\phi_{\Omega,a+(m-1)b}(x)=\Big(\frac{\Omega}{a+(m-1)b}\Big)
^{\frac{1}{2(p-1)}}\phi(\sqrt \Omega x)
\]
is the unique positive, spherically symmetric and decreasing solution in $H^1_{\mathbb C}(\mathbb{R}^N)$ of
\[
-\Delta f + \Omega f = \big(a+(m-1)b\big) |f|^{2p-2} f,
\]
and
$$
\|\phi_{\Omega, a+(m-1)b}\|_{L^2}= \big(a+(m-1)b\big)^{-\frac{1}{2(p-1)}} 
\Omega^{\frac{1}{2(p-1)}-\frac{N}{4}}\|\phi\|_{L^2}.
$$
Fix an $\Omega>0$ and let
\begin{equation}
\lambda= \big(a+(m-1)b\big)^{-\frac{1}{(p-1)}} 
\Omega^{\frac{1}{(p-1)}-\frac{N}{2}} \|\phi\|^2_{L^2}.
\label{lambda(m3)}
\end{equation}
For fixed $\Omega>0$ (hence $\lambda>0$ is also fixed) and any 
$\mu_1,\dots, \mu_{m-1} >0$, define the real
numbers $I^{(m)}, I^{(m)}_1$ as follows:
\begin{align*}
&I^{(m)}(\lambda, \mu_1,\dots, \mu_{m-1})\\
& = \inf \Big\{E^{(m)}: u_1,\dots, u_m \in H^1_{\mathbb C}(\mathbb{R}^N),
\|u_1\|_{L^2}^2 =\lambda,
 \|u_j\|^2_{L^2}=\mu_{j-1}, \ j=2,\dots,m \Big\},
\end{align*}
and
\[
I^{(m)}_1(\lambda) = \inf\{E^{(m)}_1(u): u\in H^1_{\mathbb C}(\mathbb{R}^N),
 \|u\|_{L^2}^2 =\lambda\}.
\]
The sets of minimizers for $I^{(m)}(\lambda,\mu_1,\dots,\mu_{j-1})$ and 
$I^{(m)}_1(\lambda)$ for $j=2,\dots,m$
are, respectively,
\begin{gather*}
\begin{aligned}
&G^{(m)}(\lambda,\mu_1,\dots,\mu_{j-1}) \\
&= \Big\{(u_1,\dots, u_m) \in X^{(m)}:
I^{(m)}(\lambda,\mu_1,\dots,\mu_{j-1})= E^{(m)}(u_1,\dots, u_m),\\
& \quad \|u\|^2_{L^2}=\lambda, \|u_j\|^2_{L^2}=\mu_{j-1}\Big\},
\end{aligned}\\
G^{(m)}_1(\lambda) = \big\{u \in H^1_{\mathbb C}(\mathbb{R}^N): 
I^{(m)}_1(\lambda)= E^{(m)}_1(u), \|u\|^2_{L^2}=\lambda \big\}.
\end{gather*}
The following 2 Lemmas are clear.  (For example, the proofs can be easily modified from those presented in
\cite{NW}.)

\begin{lemma} \label{lem5.1}
For all $\lambda>0$, one has
$-\infty <I^{(m)}(\lambda,\dots,\lambda) <0$.
\end{lemma}

\begin{lemma} \label{lem5.2}
If $\{(u_{1n},\dots,u_{mn})\}$ is a minimizing sequence for 
$I^{(m)}(\lambda,\dots,\lambda)$, then there exist
constants $B>0$ and $\delta>0$ such that
\begin{itemize}
\item[(i)]  $\sum_{j=1}^m \|u_{jn}\|_{H^1} \leq B$ for all $n$, and
\item[(ii)] $\sum_{j=1}^m \|u_{jn}\|_{L^{2p}}^{2p}\geq \delta$
for all sufficiently large $n$.
\end{itemize}
\end{lemma}

Let $\{(u_{1n},\dots,u_{mn})\}\in X^{(m)}$ be a minimizing sequence 
for $E^{(m)}$ and consider a
sequence of nondecreasing functions $M_n: [0,\infty) \to
[0,m\lambda]$ as follows
$$
M_n(s)=\sup_{y\in \mathbb{R}^N} \int_{|x-y|<s}
\sum_{j=1}^m |u_{jn}(x)|^2 dx.
$$ 
As $M_n(s)$ is a uniformly bounded sequence of nondecreasing functions in $s$, 
one can show using, for example, Helly's selection theorem (see \cite{HL}) 
that it has a subsequence, which is still
denoted as $M_n$, that converges point-wisely to a nondecreasing
limit function $M(s): [0, \infty)\to [0, m\lambda]$. Let
$$
\rho =\lim_{s\to \infty} M(s):\equiv
\lim_{s\to \infty} \lim_{n \to \infty} M_n(s)
=\lim_{s\to \infty} \lim_{n \to \infty} \sup_{y\in \mathbb{R}^N}
\int_{|x-y|<s}\sum_{j=1}^m |u_{jn}(x)|^2 dx. 
$$
Then $0 \leq \rho\leq m\lambda$.

Lions' Concentration Compactness Lemma \cite{Lions84b,Lions84a}
shows that there are three possibilities for the value of $\rho$:

\noindent\textbf{Case 1:} (Vanishing) $\rho=0$.  Since $M(s)$ is
  non-negative and non-decreasing, this is equivalent to saying 
$$
M(s)= \lim_{n\to \infty}M_n(s)
=   \lim_{n\to \infty} \sup_{y\in \mathbb{R}^N} \int_{|x-y|<s}
\sum_{j=1}^m |u_{jn}(x)|^2 dx =0
$$ 
for all $s< \infty$, or

\noindent\textbf{Case 2:} (Dichotomy) $\rho\in (0, m\lambda)$, or

\noindent\textbf{Case 3:} (Compactness) $\rho=m\lambda$, which implies
 that  there exists $\{y_n\}_{n=1} \in
 \mathbb{R}^N$ such that for any
 $\epsilon>0$, there exists $s<\infty$ such that 
\[
\int_{|x-y_n|<s} \sum_{j=1}^m |u_{jn}(x)|^2 dx \geq m\lambda -\epsilon.
\]

The next Lemma will be useful in ruling out the vanishing of minimizing sequences.

\begin{lemma} \label{lem5.A}
There exists a constant $C$ such that for all 
$u_j\in H^1_{\mathbb C}(\mathbb{R}^N)$, $j=1,\dots,m$
\[
\int_{\mathbb{R}^N}\sum_{j=1}^m |u_j|^{\frac{2N+4}{N}} dx 
\leq  C\Big(\sup_{y\in \mathbb{R}^N}
\int_{|x-y|<s} \sum_{j=1}^m |u_j|^2dx\Big)^{2/N} \sum_{j=1}^m \|u_j\|_{H^1}^2.
\]
\end{lemma}

\begin{proof}
Let $(Q_j)_{j\geq 0}$ be a sequence of open, unit cubes of $\mathbb{R}^N$ such 
that $Q_j\bigcap Q_k =\emptyset$ if
$j\not= k$ and $\overline{\bigcup_{j\geq 0}Q_j}=\mathbb{R}^N$. 
It is well-known (see, for example, \cite[Lemma 1.7.7]{Ca1}) 
that there exists a constant $K$ independent of $j$ such that for all 
$f\in H^1_{\mathbb C}(Q_j)$
\[
\int_{Q_j}|f(x)|^{\frac{2N+4}{N}}dx \leq K\Big(\int_{Q_j} |f(x)|^2 dx
 \Big)^{2/N}\|f\|_{H^1(Q_j)}^2.
\]
Consequently, if $u_1,u_2, \dots, u_m \in H^1_{\mathbb C}(Q_j)$,
\[
\int_{Q_j} |u_j(x)|^{\frac{2N+4}{N}} dx
 \leq C\Big(\int_{Q_j} |u_j(x)|^2 dx\Big)^{2/N} \|u_j\|_{H^1(Q_j)}^2 .
\]
The Lemma follows immediately from summing over $j$.
\end{proof}

The following identities are well-known.  
(See, for example, \cite[Lemma 8.1.2]{Ca1}.)

\begin{lemma} \label{Identity}
Let $a, \Omega>0$.  If $-\Delta f +\Omega f= a |f|^{2p-2} f$, then 
\begin{gather*}
%(a)
\int_{\mathbb{R}^N} (|\nabla f|^2 +\Omega |f|^2 )dx 
= a \int_{\mathbb{R}^N} |f|^{2p}dx, \\
%(b)
(N-2) \int_{\mathbb{R}^N} |\nabla f|^2dx + N\Omega \int_{\mathbb{R}^N} |f|^2dx 
= \frac{Na}{p} \int_{\mathbb{R}^N} |f|^{2p}dx.
\end{gather*}
\end{lemma}

Using the above identities, the next Lemma can be derived easily.

\begin{lemma} \label{lem5.4}
The following statements hold :
\begin{itemize}
\item[(1)] for any $\lambda,\mu_{j-1} \geq 0$ and $j=2,\dots,m$,
\[
 I^{(m)}(\lambda, \mu_1,\dots, \mu_{m-1}) \geq I^{(m)}_1(\lambda) 
+\sum_{j=2}^m I^{(m)}_1(\mu_{j-1});
\]

\item[(2)]  
\[
I^{(m)}_1\big(\lambda\big)= E^{(m)}_1(\phi_{\Omega,a+(m-1)b}) 
=-\frac{N+2-Np}{N+2p-Np}\lambda \Big(\frac{\lambda \big(a+(m-1)b
\big)^{\frac{1}{p-1}}}{\|\phi\|^2_{L^2}}\Big)^{\frac{2(p-1)}{2-N(p-1)}};
\]

\item[(3)]  $I^{(m)}(\lambda,\dots,\lambda) = mI^{(m)}_1(\lambda)$ for 
$\lambda >0$, and $(\phi_{\Omega,a+(m-1)b}, \dots,
\phi_{\Omega,a+(m-1)b}) \in G^{(m)}(\lambda,\dots,\lambda)$;

\item[(4)]  $ I^{(m-k)}_1(\lambda)>I^{(m)}_1(\lambda)$, for all 
$k\in (0,m)$ and $\lambda>0$.
\end{itemize}
\end{lemma}

\begin{corollary} \label{cor5.A}
For any $\Omega>0$ fixed,
$$
\Big \{ \Big(e^{i\alpha_1} \phi_{\Omega,a+(m-1)b}(\cdot+y), \dots, e^{i\alpha_m}
\phi_{\Omega,a+(m-1)b}(\cdot+y)\Big)\Big \} 
\subset G^{(m)}\big(\lambda(\Omega),\dots,\lambda(\Omega)\big)
$$
where $\alpha_j \in \mathbb{R}$, $j=1,2,\dots, m$; $y\in \mathbb{R}^N$.
\end{corollary}

The following Lemma provides \textit{strict sub-additivity} of the function 
$I^{(m)}$ needed to rule out the dichotomy of minimizing sequences.

\begin{lemma} \label{lem5.6}
For any $\beta_j \in [0,\lambda]$, $j=1, \dots, m$ satisfying 
$0<\sum_{j=1}^m \beta_i< m\lambda$, we have
$$
 I^{(m)}(\lambda, \dots,\lambda) < I^{(m)}(\beta_1, \dots,\beta_m) +I^{(m)}
(\lambda-\beta_1,
\lambda-\beta_2,\dots,\lambda -\beta_m).
$$
\end{lemma}

\begin{proof} We consider separately the following cases.

\textit{Case 1:} $\beta_j\in (0,\lambda)$ for $j=1,\dots, m$.  
From (3) in Lemma \ref{lem5.4}, we have
$$
I^{(m)}(\lambda, \dots, \lambda) =mI^{(m)}_1(\lambda);
$$
and from \cite[Theorem II.1]{CL} we have, for any $\beta_j \in (0, \lambda)$
$$
I^{(m)}_1(\lambda)<I^{(m)}_1(\beta_j) + I^{(m)}_1(\lambda-\beta_j).
$$
Consequently, we obtain 
\begin{align*}
I^{(m)}(\lambda, \dots, \lambda)
&=mI^{(m)}_1(\lambda) <\sum_{j=1}^m I^{(m)}_1(\beta_j) +\sum_{j=1}^m
I^{(m)}_1(\lambda-\beta_j)\\
& \leq I^{(m)}(\beta_1, \dots,\beta_m) +I^{(m)}(\lambda-\beta_1, \dots,
\lambda -\beta_m)
\end{align*}
where item (1) in Lemma \ref{lem5.4} has been used.  Thus case 1 is proved.

\textit{Case 2:} Exactly $k$ of $\{\beta_1,\beta_2,\dots,\beta_m\}$ vanish,
$k=2,\dots,m-1 $, and without loss of generality, we may assume that
$$ 
\beta_{m-k+1}=\dots=\beta_m=0;\quad \beta_j \in (0,\lambda], \text{ for } 
 j=1,2,\dots, m-k. 
$$
  The variational problem then becomes
\begin{align*}
&\inf\Big\{\int_{\mathbb{R}^N}\Big[\sum_{j=1}^{m-k}\big(|\nabla u_j|^2 
-\frac{a}{p}|u_j|^{2p}\big) -
\sum_{i,j=1; i\not=j}^{m-k} \frac{b}{p}|u_i|^p|u_j|^p\Big]dx:\|u_j\|_{L^2}^2 
=\beta_j \Big\}\\
&=\inf \Big\{ E^{(m-k)}(u_1,\dots,u_{m-k}): \|u_j\|_{L^2}^2 =\beta_j, 
\; j=1,2,\dots, m-k\Big\}
\end{align*}
which is the $(m-k)$-case.  Thus, item (1) in Lemma \ref{lem5.4} implies that
\begin{equation}
I^{(m)}(\beta_1,\dots, \beta_{m-k},0,\dots,0)= I^{(m-k)}(\beta_1,\dots,\beta_{m-k}) 
\geq \sum_{j=1}^{m-k} I^{(m-k)}_1(\beta_j).
\label{Im(0)A}
\end{equation}
On the other hand, part (4) in Lemma \ref{lem5.4} says that for all $k\in (0,m)$
$$ 
I^{(m-k)}_1(\beta_j)>I^{(m)}_1(\beta_j),
$$
 we obtain that $I^{(m)}(\beta_1,\dots,\beta_{m-k},0,\dots,0) 
>\sum_{j=1}^{m-k}I^{(m)}_1(\beta_j)$.  Thus,
\begin{align*}
&I^{(m)}(\lambda,\dots,\lambda)\\
&= mI^{(m)}_1(\lambda) \leq k I^{(m)}_1(\lambda) 
+ \sum_{j=1}^{m-k}\Big(I^{(m)}_1(\beta_j)+I^{(m)}_1(\lambda-\beta_j) \Big)\\
&\leq I^{(m)}(\lambda-\beta_1,\dots, \lambda-\beta_{m-k},\lambda,\dots, \lambda) + \sum_{j=1}^{m-k}
I^{(m)}_1(\beta_j)\\
&<I^{(m)}(\beta_1,\dots,
\beta_{m-k}, 0,\dots,0)+I^{(m)}(\lambda-\beta_1,\dots,\lambda-\beta_{m-k},\lambda,\dots,\lambda)
\end{align*}
proving case 2.  Thus the Lemma is proved.
\end{proof}

With all the calculations in hand, one can proceed straightforwardly 
(see, for example, \cite{NW}) to show that
minimizing sequences are compact and that the set of minimizers 
$G^{(m)}(\lambda,\dots,\lambda)$ is stable. Precisely, we have the following.

\begin{lemma} \label{thm5.2}
For every $\epsilon>0$ given, there exists $\delta>0$ such that if
$$
\inf_{(\Phi_1,\dots,\Phi_m)\in G^{(m)}} \|(u_{10},\dots,u_{m0}) 
-(\Phi_1,\dots,\Phi_m)\|_{X^{(m)}} <\delta,
$$
then the solution $\big(u_1(x,t),\dots,u_m(x,t)\big)$ of \eqref{NNLS} with 
$\big(u_1(x,0),\dots,u_m(x,0)\big)
=(u_{10},\dots,u_{m0})$ satisfies
$$
\inf_{(\Phi_1,\dots,\Phi_m) \in G^{(m)}} \|\big(u_1(\cdot,t), 
\dots, u_m(\cdot,t)\big)
-(\Phi_1,\dots,\Phi_m)\|_{X^{(m)}} <\epsilon
$$
for all $t\in \mathbb{R}$.
\end{lemma}

\subsection{Stability of ground-state solutions}

In this subsection, we will show that the set of minimizers 
$G^{(m)}(\lambda,\dots,\lambda)$ contains just a
single $m-$tuple of functions (modulo translations and phase shifts), 
and that this $m-$tuple of functions is
indeed a ground-state solution of \eqref{NNLS} given by
\[
\big(\Phi_1(x,t),\dots, \Phi_m(x,t)\big) 
=\Big(e^{i\Omega t} \phi_{\Omega,a+(m-1)b}(x), \dots ,e^{i\Omega t}
\phi_{\Omega,a+(m-1)b}(x) \Big).
\]
Proposition \ref{thm1} then follows directly from this fact and Lemma \ref{thm5.2}.

We start first with the following Lemma that relates the functions 
$\Phi_1,\dots,\Phi_m$ whenever
$(\Phi_1,\dots,\Phi_m) \in G^{(m)}(\lambda,\dots,\lambda)$.

\begin{lemma} \label{lem5.6b}
Let $(\Phi_1,\dots,\Phi_m) \in G^{(m)}(\lambda,\dots,\lambda)$.  
Then for any $x\in \mathbb{R}^N$,
$$
|\Phi_1(x)| =  |\Phi_2(x)|= \dots = |\Phi_m(x)|.
$$
\end{lemma}

\begin{proof}
It follows from Lemma \ref{lem5.4} that for any 
$(\Phi_1,\dots,\Phi_m) \in G^{(m)}(\lambda, \dots, \lambda)$
$$
I^{(m)}(\lambda, \dots,\lambda)= E^{(m)}(\Phi_1,\dots,\Phi_m) 
\geq \sum_{j=1}^m E^{(m)}_1(\Phi_j) \geq m
I^{(m)}_1(\lambda) =I^{(m)}(\lambda,\dots,\lambda).
$$
Thus,
\[
\frac{a}{p}\sum_{j=1}^m \|\Phi_j\|_{L^{2p}}^{2p}
 + \frac{b}{p}\int_{\mathbb{R}^N}\sum_{i,j=1; i\not=j}^m
|\Phi_i|^p|\Phi_j|^p dx
= \frac{a+(m-1)b}{p}\sum_{j=1}^m \|\Phi_j\|^{2p}_{L^{2p}}
\]
which implies that
\begin{equation}
\int_{\mathbb{R}^N}\sum_{i,j=1; i\not=j}^m |\Phi_i|^p|\Phi_j|^p dx
= (m-1)\sum_{j=1}^m \|\Phi_j\|^{2p}_{L^{2p}}.
\label{5.8}
\end{equation}
We can rewrite \eqref{5.8} as
$$
\int_{\mathbb{R}^N} \sum_{i,j=1;i\not=j}^m \Big||\Phi_i(x)|^p- |\Phi_j(x)|^p\Big|^2 dx
 =0,
$$
from which the statement of the Lemma immediately follows.
\end{proof}
Next, we show the following.

\begin{lemma} \label{thm5.3}
For any $\Omega>0$ fixed,
$$
\Big \{ \Big(e^{i\alpha_1} \phi_{\Omega,a+(m-1)b}(\cdot+y), \dots, e^{i\alpha_m}
\phi_{\Omega,a+(m-1)b}(\cdot+y)\Big)\Big \}= G^{(m)}
\big(\lambda(\Omega),\dots,\lambda(\Omega)\big)
$$
where $\alpha_j \in \mathbb{R}$, $j=1,2,\dots,m$; $y\in \mathbb{R}^N$.
\end{lemma}

\begin{proof}
It has been established (Corollary \ref{cor5.A}) that for any $\Omega>0$ 
fixed and for $\alpha_j \in \mathbb{R}$, 
$j=1,2,\dots,m$ and $y\in \mathbb{R}^N$,
$$
\Big(e^{i\alpha_1} \phi_{\Omega,a+(m-1)b}(\cdot+y), \dots, e^{i\alpha_m} 
\phi_{\Omega, a+(m-1)b}(\cdot+y)\Big)\in G^{(m)}\big(\lambda(\Omega),
\dots,\lambda(\Omega)\big).
$$
Hence, the Lemma is proved if we  show that any minimizer in
$G^{(m)}(\lambda(\Omega),\dots,\lambda(\Omega))$ must be of the form given above.
Now, since the constrained minimizer for the variational problem exists, 
there are Lagrange multipliers $\Omega_1,
\dots ,\Omega_m\in \mathbb{R}$ such that for $j=1,2,\dots,m$
\begin{equation}
-\Delta\Phi_j +\Omega_j \Phi_j = a|\Phi_j|^{2p-2}\Phi_j +b\sum_{i=1;i\not=j}^m
|\Phi_i|^{p}|\Phi_j|^{p-2}\Phi_j.
\label{Lagrange5}
\end{equation}
Using Lemma \ref{lem5.6}, we can rewrite this system as $m$-uncoupled equations
\begin{equation}
-\Delta \Phi_j +\Omega_j \Phi_j = \big(a+(m-1)b\big) |\Phi_j|^{2p-2} \Phi_j.
\label{5.9}
\end{equation}
A bootstrap argument shows that any $m$-tuple $L^2$-distribution solution 
of \eqref{5.9} must indeed be smooth and
given by (see, for example, \cite{Ca1})
\[
\Phi_j(x)= e^{i\alpha_j}\phi_{\Omega_j,a+(m-1)b}(x+y_j),
\]
where $\alpha_j \in \mathbb{R}$, $y_j \in \mathbb{R}^N$ and $\Omega_j>0$ 
for $j=1,2,\dots,m$.  Now recall that for any $x\in \mathbb{R}^N$, we must have
$$
|\Phi_1(x)| = |\Phi_2(x)|=\dots = |\Phi_m(x)|,
$$ 
and
$$
\|\Phi_1\|_{L^2}^2= \|\Phi_2\|_{L^2}^2=\dots = \|\Phi_m\|_{L^2}^2=\lambda =
\big(a+(m-1)b\big)^{-\frac{1}{(p-1)}} \Omega^{\frac{1}{(p-1)}
-\frac{N}{2}} \|\phi\|^2_{L^2}.
$$
It is easy to see then that $y_1=y_2=\dots=y_m$, and 
$$
\Omega=\Omega_1=\Omega_2=\dots=\Omega_m>0.
$$  The Lemma is thus established.
\end{proof}

The above proposition  follows from Lemmas \ref{thm5.2} and \ref{thm5.3}.

Next, we will show that instead of allowing the ground-state solutions to
wander around at random, one can pick unique trajectory and phase shifts 
that the ground-state solutions must
follow.  Denote $\vec{\theta}=(\theta_1, \dots, \theta_m)$. 
Following the idea used in \cite{BoSo,W}, the functions $\theta_j$
($j=1, 2, \dots, m$) and $\eta$ are found through minimizing the function 
$R=R(\vec{\theta},\eta):\mathbb{R}^{m+1} \to \mathbb{R}$,
\begin{equation}
\begin{aligned}
 R(\vec{\theta},\eta)
&=\sum_{j=1}^m\Big[\Omega\|u_j(x)-e^{i\theta_j}\phi_{\Omega,a+(m-1)b}
(x+\eta)\|_{L^2}^2 \\
&\quad + \|u_j'(x)-e^{i\theta_j}\phi_{\Omega,a+(m-1)b}'(x+\eta)\|_{L^2}^2\Big].
\end{aligned}
\end{equation} 
From now on, denote $\phi(x)=\phi_{\Omega, a+(m+1)b}(x)$ for simplicity. 
Due to the symmetry, we only need to consider one component
\begin{equation}
\begin{aligned}
 R_j(\theta_j, \eta)
&=\Omega\|u_j(x)-e^{i\theta_j}\phi(x+\eta)\|_{L^2}^2 +
\|u_j'(x)-e^{i\theta_j}\phi'(x+\eta)\|_{L^2}^2\\
&=\int_{\mathbb{R}^N}\Big(\Omega|u_j(x)-e^{i\theta_j}\phi(x+\eta)|^2+|(u_j)_x -
e^{i\theta_j}\phi'(x+\eta)|^2\Big)dx.
\end{aligned}
\end{equation}
Then
\begin{equation}
 \begin{aligned}
  \frac{\partial R_j}{\partial\eta}
&=\int_{\mathbb{R}^N}\big[-2\Omega\operatorname{Re}(u_j(x)e^{-i\theta_j})\phi'(x+\eta)
-2\operatorname{Re}((u_j)_xe^{-\theta_j}\phi''(x+\eta)\big]dx\\
&=2\operatorname{Re}\int_{\mathbb{R}^N} u_j(x)e^{-i\theta_j}(\phi''(x+\eta)-\Omega\phi(x+\eta))'dx\\
&=-2[a+(m-1)b]\operatorname{Re}\int_{\mathbb{R}^N} u_j(x)e^{-i\theta_j}(\phi^{2p-1}(x+\eta))'dx\\
&=-2(2p-1)[a+(m-1)b]\int_{\mathbb{R}^N} \operatorname{Re}\big(u_j(x)e^{-i\theta_j}\big)
 \phi^{2p-2}(x+\eta)\phi'(x+\eta)dx,
 \end{aligned}
\end{equation}
and
\begin{equation}
 \frac{\partial R_j}{\partial\theta_j}=i[a+(m-1)b]
\int_{\mathbb{R}^N}\operatorname{Im}\big(u_j(x)e^{-i\theta_j}\big)\phi^{2p-1}(x+\eta)dx.
\end{equation}
Define vector-valued function $Q: X\times\mathbb{R}^{m+1}\to\mathbb{R}^{m+1}$,
\[
 Q(\vec{\psi},\vec{\theta},\eta)=(F(\vec{\psi},\vec{\theta},\eta),
\vec{G}(\vec{\psi},\vec{\theta},\eta))
\]
where
\begin{equation}
 \begin{gathered}
  F(\vec{\psi},\vec{\theta},\eta)=\sum_{j=1}^m\int_{\mathbb{R}^N}
\operatorname{Re}\big(\psi_je^{-i\theta_j}\big)\phi^{2p-2}(x+\eta)
\phi'(x+\eta)dx;\\
G_j(\vec{\psi},\vec{\theta},\eta)=\int_{\mathbb{R}^N}
\operatorname{Im}\big(\psi_je^{-i\theta_j}\big)\phi^{2p-1}(x+\eta)dx.
 \end{gathered}
\end{equation}
Next, we verify the conditions needed for using the Implicit Function Theorem.

\begin{lemma}\label{lemma:groundproperty}
Denote $\vec\phi=(\phi,\dots,\phi)$. Then:
 \begin{itemize}
  \item[(i)] $Q(\vec\phi,\vec{0},0)=(0,\vec{0})$.
  \item[(ii)] $|\nabla Q|<0$.
 \end{itemize}
\end{lemma}

\begin{proof}
Statement (i) follows from the facts that 
$-\Delta\phi + \Omega\phi= (a+(m-1)b)\phi^{2p-1}$ and
\begin{gather*}
  F(\vec\phi,\vec{0},0)=\sum_{j=1}^m\int_{\mathbb{R}^N}\phi^{2p-2}\phi'dx=0;\\
  G_j(\vec\phi,\vec{0},0)=\int_{\mathbb{R}^N}\operatorname{Im}(\phi\cdot1)\phi^{2p-1}dx=0.
 \end{gather*}
To prove (ii), notice that
\begin{align*}
\frac{\partial F}{\partial\theta_j}\Big|_{(\vec\phi,\vec{0},0)}
&=\operatorname{Re}\Big(-i\int_{\mathbb{R}^N}\operatorname{Im}\big(\psi_j(x)
e^{-i\theta_j}\big)\phi^{2p-2}(x+\eta)\phi'(x+\eta)dx\Big)\Big|_{(\vec\phi,\vec{0},0)}
=0,\\
\frac{\partial F}{\partial\eta}\Big|_{(\vec\phi,\vec{0},0)}
&=\frac{\partial}{\partial\eta}\Big[ \sum_{j=1}^m
\int_{\mathbb{R}^N}\operatorname{Re}\big(\psi_j(x)e^{-\theta_j}
 \big)\phi^{2p-2}(x+\eta)\phi'(x+\eta)dx\Big]\Big|_{(\vec\phi,\vec{0},0)}\\
&=\frac{\partial}{\partial\eta}\Big[ \sum_{j=1}^m
\int_{\mathbb{R}^N}\operatorname{Re}\big(\psi_j(x-\eta)e^{-\theta_j}\big)
 \phi^{2p-2}(x)\phi'(x)dx\Big]\Big|_{(\vec\phi,\vec{0},0)}\\
&=\sum_{j=1}^m\int_{\mathbb{R}^N}-\phi'(x)\phi^{2p-2}(x)\phi'(x)dx\\
&=-m\int_{\mathbb{R}^N}\phi^{2p-2}(x)\big[\phi'(x)\big]^2dx,\\
\frac{\partial G_j}{\partial\eta}\Big|_{(\vec\phi,\vec{0},0)}
&=(2p-1)\int_{\mathbb{R}^N}\operatorname{Im}\big(\psi_j(x)e^{-i\theta_j}\big)
\phi^{2p-2}(x+\eta)\phi'(x+\eta)dx\Big|_{(\vec\phi,\vec{0},0)}=0,\\
\frac{\partial G_j}{\partial\theta_j}\Big|_{(\vec\phi,\vec{0},0)}
&=\int_{\mathbb{R}^N} i\big(\psi_j(x)e^{-\theta_j}-
\overline{\psi}_j(x)e^{i\theta_j}\big)\phi^{2p-1}(x+\eta)dx
\Big|_{(\vec\phi,\vec{0},0)}=\int_{\mathbb{R}^N}
\phi^{2p}(x)dx.
\end{align*}
Thus,
\[
 \det(\nabla G)=-m\Big(\int_{\mathbb{R}^N}\phi^{2p-2}(x)\big[\phi'(x)\big]^2dx\Big)
\Big(\int_{\mathbb{R}^N} \phi^{2p}(x)dx\Big)^{m-1}<0.
\]
\end{proof}

Define an equivalent norm in $X^{(m)}$ by
\begin{equation}
 \|\vec{u}\|_{X^{(m)}}^2=\sum_{j=1}^m\big[\Omega\|u_j(x)\|_{L^2}^2 
+ \|u_j'(x)\|_{L^2}^2\big];\quad \vec{u}=(u_1, \dots, u_m)\in X^{(m)}.
\end{equation}
Let the $X^{(m)}$-neighborhood of the trajectory of 
$(e^{i\theta_1}\phi, \dots, e^{i\theta_m}\phi)$
be defined by
\[
 \mathcal{U}_\beta=\Big\{\vec{\phi}\in X^{(m)} : \inf_{\vec{\theta},\eta}\big\{
\|\vec{\psi}(x)-e^{i\vec{\theta}_j}\phi(x+\eta)\|_{X^{(m)}}<\beta\big\}\Big\}.
\]

\begin{lemma}\label{lemma:c1maps}
There exist a $\beta>0$ and $C^1$ maps $\vec{\theta}, \eta: \mathcal{U}_\beta\to\mathbb{R}$
such that
\[
 F(\vec{\psi}, \vec{\theta}(\vec{\psi}), \eta(\vec{\psi}))\equiv0,\quad
 G_j(\vec{\psi}, \vec{\theta}(\vec{\psi}), \eta(\vec{\psi}))\equiv0,
\]
for all $\vec{\psi}\in\mathcal{U}_\beta$.
\end{lemma}

\begin{proof}
It is easy to see that the function $Q$ is $C^1$ on its' domain. 
Lemma \ref{lemma:groundproperty} verifies all the
conditions needed to apply the Implicit Function Theorem.  
Thus Lemma \ref{lemma:c1maps} follows provided $\beta>0$
is small enough.
\end{proof}

Because of the stability result stated in Proposition \ref{thm1}, 
$\vec{u}(\cdot,t) \in \mathcal U_{\beta}$ and hence
the corresponding functions $\vec{\theta}$ and $\eta$ are defined on
 $\vec{u}(\cdot,t).$   One can therefore
consider the functions $\vec{\theta}$ and $\eta$ from 
$ \mathbb{R} \to \mathbb{R}$ as
\[
\eta(t)= \eta\big(\vec{u}(\cdot,t)\big),
\]
and for $i=1,2,\dots,m$
\[
\theta_i(t)= \theta_i\big(\vec{u}(\cdot,t)\big).
\]
The next Lemma is clear.  (See, for example, \cite{NVN2}.)

\begin{lemma}\label{lemma:QC1}
 The function $Q$ is continuously differentiable with respect to $t$.
\end{lemma}

We are now ready for the following proof.

\begin{proof}[Proof of Theorem \ref{thm1A}]
The first part of the Theorem is an immediate consequence of Lemma 
\ref{lemma:c1maps} and Proposition \ref{thm1}.
Indeed, for fixed $\epsilon>0$, one can first apply Lemma \ref{lemma:c1maps} to
find a proper $\beta>0$ such that the continuous maps exist. Then, the result of
\cite{NTDS} implies the existence of some $\delta>0$ such that when the
initial data satisfies assumption \eqref{initialdata}, the resulting 
perturbations from $\eta$ and $\theta_j$'s
for all $t\geq0$ will remain in the ball $\mathcal{U}_\beta$. 
Thus the estimate \eqref{continueextention} holds.

It is left to show \eqref{thm:estimates}. Define the $m$ functions
\[
 h_j(x, t)=e^{-i\theta_j(t)}u(x, t)-\phi(x+\eta(t))=h_{j1}+ih_{j2}
\]
for $j=1,\dots,m$. According to \eqref{continueextention}, 
$\sum_{j=1}^m\|h_{j1}\|_{H^1}+
\sum_{j=1}^m\|h_{j2}\|_{H^1}=O(\epsilon)$ for all $t\geq0$.
Differentiating $F$ with respect to $t$, we obtain
\begin{align*}
F_t&=\sum_{j=1}^m\int_{\mathbb{R}^N}\operatorname{Re}\Big([(u_j)_t-(u_j)_x\eta'(t)]e^{-i\theta_j(t)}
-i\theta_j'u_j e^{-i\theta_j(t)} \Big) \phi^{2p-2}\phi'dx\\
&=\operatorname{Re}\sum_{j=1}^m\int_{\mathbb{R}^N}\Big[(u_j)_te^{-i\theta_j(t)} \phi^{2p-2}\phi'-
(u_j)_x\eta'(t)e^{-i\theta_j(t)} \phi^{2p-2}\phi'\\
&\quad  - i\theta_j'(t)u_je^{-i\theta_j(t)}\phi^{2p-2}\phi'\Big]dx\\
&=\sum_{j=1}^m(I_{j1}-I_{j2}-I_{j3})=0.
 \end{align*}
Notice that
\begin{gather*}
\begin{aligned}
 I_{j1}&=\operatorname{Re}\int_{\mathbb{R}^N} i\Big[(u_j)_{xx}+\big(a|u_j|^p+b\sum_{k\neq
j}|u_k|^p\big)|u_j|^{p-2}u_j\Big]e^{-i\theta_j(t)}
\phi^{2p-2}\phi'dx\\
&=-\int_{\mathbb{R}^N}\Big[(h_2)_{xx}+\big(a|u_j|^p+b\sum_{k\neq
j}|u_k|^p\big)|u_j|^{p-2}h_2\Big]\phi^{2p-2}\phi'dx=O(\epsilon),
\end{aligned}
\\
 I_{j2}=\int_{\mathbb{R}^N}\Big(\phi^{2p-2}(\phi')^2\eta'(t)+(h_1)_x\eta'(t)\phi^{2p-2}
\phi'\Big)dx=c\eta'(t)+O(\epsilon),
\\
 I_{j3}=\int_{\mathbb{R}^N}\theta_j'(t)h_2\phi^{2p-2}\phi'dx=O(\epsilon)\theta_j'(t).
\end{gather*}
Thus we have
\[
 \eta'(t)=O(\epsilon)+O(\epsilon)\sum_{j=1}^m\theta_j'(t).
\]
Similarly, the other $m$ equations for $\vec{\theta}$ give
\[
 \theta_j'(t)=\Omega+O(\epsilon)+O(\epsilon)\eta'(t),\quad  j=1,\dots, m.
\]
The statement \eqref{thm:estimates} follows immediately.  
Thus, the Theorem is proved.
\end{proof}

\section{Stability of traveling-wave solutions}

The result obtained in Section 3 is now broadened to include traveling-wave 
solutions and improved by providing a more detailed view of the connection 
between the functions $\eta$ and $\theta_i$.  For
$\theta\in\mathbb{R}$, define the operator $T_\theta: H_\mathbb{C}^1(\mathbb{R})\to H_\mathbb{C}^1(\mathbb{R})$ by
\[
 (T_\theta u)(x)=\exp\Big(\frac{i\theta x}{2}\Big)u(x).
\]
For any pair $(\omega,\theta)\in\mathbb{R}\times\mathbb{R}$ such that
$\Omega=\omega-\frac{1}{4}\theta^2>0$, let
$\varphi_\omega=T_\theta\phi_\Omega$.  The following Lemma is straightforward.

\begin{lemma} \label{lem4.1}
If $(e^{i\Omega t}\phi_{\Omega},\dots,e^{i \Omega t}\phi_{\Omega})$ 
is a ground-state solution of \eqref{NNLS}, then \\
$(e^{i\omega t}\varphi_{\omega},\dots,e^{i\omega t}\varphi_{\omega})$ 
is a traveling-wave solution of \eqref{NNLS}.
\end{lemma}

\begin{proof}[Proof of Corollary \ref{thm1B}]
Similar arguments as used in \cite{BoSo,NVN,W} allow us to extend the stability 
result obtained above to include traveling-wave solutions as well.  
Readers are referred to, for example, \cite{NVN} for the proof of this.
\end{proof}

\section{Conclusion}

The traveling-wave solutions of \eqref{NNLS} have been shown to be orbitally 
stable in $X^{(m)}$
when $2\leq p<3$ and $N=1$ and orbitally stable in $Y^{(m)}$ when $1<p<1+2/N$.
Notice that when $N=1$ and $p=2$, the system \eqref{NNLS} reduces to the $2$-coupled 
system considered in \cite{NW} (when $m=2$) and to the $3-$coupled system 
considered in \cite{NW2} (when
$m=3$ and $a_{j}=a$ and $b_{kj}=b_{jk}=b$).  
Thus, when $a_{j}=a$ and $b_{kj}=b_{jk}=b$, the results
in this manuscript generalize the ones obtained in \cite{NW,NW2} to include 
the case of $m-$coupled nonlinear Schr\"odinger system.  
The assumptions $2\leq p<3$ and $N=1$ are necessary for the global
existence to hold.  In particular, the concentration compactness used in 
establishing the stability theory here only requires that $1<p\leq 1+2/N$ and 
nothing more.  It may be possible that other
methods allow for the well-posedness of the Cauchy problem when $1\leq p<N/(N-2)$ 
in which case the
stability results in this paper hold in $X^{(m)}$ for $1<p\leq 1+ 2/N$.

Another interesting question arises naturally. How about the existence and stability 
theories for the general case \eqref{CNLS}?  As explained earlier, the crucial 
idea beside keeping the constraints on the $L^2$-norms of components related and 
having the coefficients  give rise to
positive numbers $A_m$ such that the Euler-Lagrange equations can be rewritten 
as uncoupled equations, is that the strict sub-additivity of the function 
$I^{(m)}$ must be established.  This means that one needs to analyze all the 
collapsing cases that may occur.  A good starting point for
this had been suggested in the conclusion of our previous work \cite{NW2}.

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