\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2017 (2017), No. 178, pp. 1--25. \newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu}
\thanks{\copyright 2017 Texas State University.}
\vspace{8mm}}

\begin{document}
\title[\hfilneg EJDE-2017/178\hfil Change of homogenized absorption term]
{Change of homogenized absorption term in diffusion processes with
reaction on the boundary of periodically distributed  \\ 
asymmetric particles of critical size}

\author[J. I. D\'iaz, D. G\'omez-Castro, T. A. Shaposhnikova,  M. N. Zubova 
\hfil EJDE-2017/178\hfilneg]
{Jes\'us Ildefonso D\'iaz, David G\'omez-Castro, \\
Tatiana A. Shaposhnikova,  Maria N. Zubova}


\address{Jes\'us Ildefonso D\'iaz \newline 
Instituto de Matematica Interdisciplinar, 
Universidad Complutense de Madrid, 
28040 Madrid, Spain}
\email{ildefonso.diaz@mat.ucm.es}


\address{David G\'omez-Castro \newline
Instituto de Matematica Interdisciplinar, 
Universidad Complutense de Madrid, 
28040 Madrid, Spain}
\email{dgcastro@ucm.es}

\address{Tatiana A. Shaposhnikova \newline
Faculty of Mechanics and Mathematics, 
Moscow State University, 
Moscow, Russia}
\email{shaposh.tan@mail.ru}

\address{Maria N. Zubova \newline
Faculty of Mechanics and Mathematics, 
Moscow State University, 
Moscow, Russia}
\email{zubovnv@mail.ru}


\thanks{Submitted June 12, 2017. Published July 13, 2017.}
\subjclass[2010]{35B25, 35B40, 35J05, 35J20}
\keywords{Homogenization; diffusion processes; periodic asymmetric  particles; 
\hfill\break\indent microscopic non-linear boundary reaction; critical sizes}

\begin{abstract}
 The main objective of this article is to get a complete characterization
 of the  homogenized global absorption term, and to give a rigorous proof
 of the convergence, in a class of diffusion processes with a reaction on
 the boundary  of periodically ``microscopic'' distributed  particles 
 (or holes) given through a nonlinear microscopic reaction (i.e.
 under nonlinear Robin microscopic boundary conditions). We introduce new
 techniques to deal with the case of non necessarily symmetric particles (or
 holes) of critical size which leads to important changes in the qualitative
 global homogenized reaction (such as it happens in many problems of the
 Nanotechnology). Here we shall merely assume that the particles (or holes)
 $ G_{\varepsilon }^{j}$, in the $n$-dimensional space, are diffeomorphic 
 to a ball (of diameter $ a_{\varepsilon }=C_0\varepsilon ^{\gamma }$, 
 $\gamma =\frac{n}{n-2}$  for some $C_0>0)$. 
 To define the corresponding ``new strange term''
 we introduce a one-parametric family of  auxiliary external problems
 associated to canonical cellular problem  associated to the prescribed
 asymmetric geometry $G_0$ and the nonlinear  microscopic boundary reaction
 $\sigma (s)$ (which is assumed to be merely a H\"older continuous function).
 We construct the limit homogenized problem  and prove that it is a 
 well-posed  global problem, showing also the rigorous  convergence of solutions,
 as $\varepsilon \to 0$, in suitable  functional spaces.
 This improves many previous papers in the literature  dealing with
 symmetric particles of critical size.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{definition}[theorem]{Definition}
\newtheorem{corollary}[theorem]{Corollary}
\allowdisplaybreaks

%\tableofcontents

\section{Introduction}

It is well-known that the asymptotic behaviour of the solution of many
relevant diffusion processes with reaction on the boundary of periodically
\textquotedblleft microscopic\textquotedblright\ distributed particles (or
holes) is described through the solution of a global reaction-diffusion
problem in which the global reaction term (usually an absorption term if the
microscopic reactions are given by monotone non-decreasing functions)
maintains the same structural properties as the microscopic reaction (see,
for instance, \cite{Conca+Diaz+Linan+Timofte:2004}) and its many references
to previous results in the literature).


A certain critical size of the \textquotedblleft microscopic
particles\textquotedblright\ may be responsible of a change in the
nature of the homogenized global absorption term, with respect to the
structural assumptions on the microscopic boundary reaction kinetic. It
seems that the first result in that direction was presented in the
pioneering paper by V. Marchenko and E. Hruslov \cite{Marchenko1964} dealing
with microscopic non-homogeneous Neumann boundary condition (see also the
study made by E. Hruslov concerning linear microscopic Robin boundary
conditions in \cite{Hruslov1977first+bvp,Hruslov:1979second+bvp}).
A --perhaps-- more popular presentation of the appearance of some
``strange term'' was due to D. Cioranescu and F.Murat \cite
{Cioranescu+Murat:1997} dealing with microscopic Dirichlet boundary
conditions (see also \cite{Kaizu1989}).


This change of behavior from the microscopic reaction to the global
homogeneized reaction term is one of the characteristics of the
nanotechnological effects (see, e.g.,
\cite{Schimpf:2002supported+gold+nanoparticles}) and it does not appear
for particles of bigger size (relative to their repetition) than the
critical scale (see, e.g., \cite{diaz+gomez-castro+podolskii+shaposhnikova2017jmaa}
and the references therein). The total identification of the new or
``strange'' reaction term is an important task which was
considered by many authors under different technical assumptions. In the
case of nonlinear microscopic boundary reactions the first result in the
literature was the 1997 paper by Goncharenko \cite{Goncharenko:1997} (see
also the precedent paper \cite{Kaizu1989}). The identification (and the
rigorous proof of the convergence in the homogenization process) requires
to assume that the particles (or holes) are symmetric balls of diameter $
a_{\varepsilon }=C_0\varepsilon ^{\gamma }$, $\gamma =\frac{n}{n-2}$, for
some $C_0>0$. Many other researches were developed for different problems
concerning critical sized balls (see
\cite{Shaposhnikova+Zubova:2011homogenization+laplacian+strong+convergence+corrector,
Podolskii:2015extension+operator+noncritical+general+p,
diaz+gomez-castro+podolskii+shaposhnikova2017signorini+p-Laplace+1-2}
and the references therein). Recently, a unifying study concerning the
homogenization for particles (or holes) given by symmetric balls of
critical order was presented in
\cite{diaz+gomez-castro+podolskii+shaposhnikova2017generalmmg}:
the treatment was extended to a microscopic
reaction given by a general maximal monotone graph which allows to include,
as special problems, the cases of Dirichlet or nonlinear Robin microscopic
boundary conditions. The case of particles of general shape when $n = 2$ was studied in \cite{Perez2014}, with the limit behaviour being similar to the case of spherical inclusions and $n \ge 2$.

The main task of this paper is to get a complete characterization of the
homogenized global absorption term in the class of problems given through a
nonlinear microscopic reaction (i.e. under nonlinear Robin microscopic
boundary conditions) and for non necessarily symmetric particles (or holes).
Here we will merely assume that the particles (or holes) $G_{\varepsilon
}^{j}$ are a rescaled version of a set $G_0$, diffeomorphic to a ball
(where the scaling factor is $a_{\varepsilon
}=C_0\varepsilon ^{\gamma }$, $\gamma =\frac{n}{n-2}$  for some $C_0>0$).
To define the corresponding new ``strange
term'' we introduce a one-parametric family of auxiliary
external problems associated to canonic cellular problem, which play the role
of a ``nonlinear capacity'' of $G_0$ and the nonlinear microscopic
boundary reaction $\sigma (s)$ (which is assumed to be merely a H\"older
continuous function). We construct the limit homogenized problem and prove
that it is well-posed global problem, showing also the rigorous convergence
of solutions, as $\varepsilon \to 0$, in suitable functional spaces.

\section{Statement of main results}

Let $\Omega $ be a bounded domain in $\mathbb{R}^n$ $n \ge 3$ with a
piecewise smooth boundary $\partial\Omega$.
The case $n=2$ requires some technical modifications which will not be 
presented here.  Let $G_0$ be a domain in $
Y=(-\frac 1 2, \frac 1 2)^n$, and $\overline{G_0}$ be a compact set
diffeomorphic to a ball. Let $C_0, \varepsilon > 0$ and set
\begin{equation}
a_{\varepsilon}=C_0{\varepsilon}^{\alpha} \quad \text{for } \alpha=\frac{n}{
n-2} .
\end{equation}
For $\delta > 0$ and $B$ a set let $\delta{B}=\{x \, | \, {\delta}^{-1}x\in
B \,\}$. Assume that $\varepsilon$ is small enough so that $a_\varepsilon
G_0 \subset \varepsilon Y$. We define $\widetilde{\Omega}_{\varepsilon}=\{x
\in \Omega \, | \, \rho(x,\partial\Omega)>2{\varepsilon} \,\}.$ For $j \in
\mathbb{Z}^n$ we define
\begin{gather*}
P_\varepsilon^j = \varepsilon j, \quad Y^j_\varepsilon = P_\varepsilon^j +
\varepsilon Y, \quad G^j_\varepsilon = P_\varepsilon^j + a_\varepsilon G_0.
\end{gather*}
We define the set of admissible indexes:
\begin{gather*}
\Upsilon_{\varepsilon}=\big\{j\in \mathbb{Z}^n: G^j_{\varepsilon}\cap{
\overline{\widetilde{\Omega}}_{\varepsilon}}\ne \emptyset \big\}.
\end{gather*}
Notice that $|\Upsilon_{\varepsilon}| \cong d{\varepsilon}^{-n}$ where $d>0$
is a constant. Our problem will be set in the following domain:
\begin{gather*}
G_{\varepsilon}=\bigcup_{j\in\Upsilon_{\varepsilon}}G^{j}_{
\varepsilon}, \quad \Omega_\varepsilon=\Omega\setminus \overline{G}
_\varepsilon
\end{gather*}
Finally, let
\begin{equation*}
\partial\Omega_\varepsilon=S_\varepsilon \cup \partial\Omega ,\quad
S_\varepsilon=\partial G_\varepsilon .
\end{equation*}
We consider the following boundary value problem in the domain $
\Omega_{\varepsilon}$
\begin{equation}
\begin{gathered}
-\Delta{u_{\varepsilon}}=f, \quad x\in \Omega_{\varepsilon},\\
\partial_{\nu}u_{\varepsilon}+\varepsilon^{-\gamma}\sigma(u_{\varepsilon})=0, \quad x\in
S_{\varepsilon},\\ u_{\varepsilon}=0, \quad x\in\partial\Omega,
\end{gathered}  \label{eq:1}
\end{equation}
where $\gamma=\alpha = \frac{n}{n-2}$, $f\in L^2(\Omega)$, $\nu$ is the unit
outward normal vector to the boundary $S_{\varepsilon}$, $\partial_{\nu}u$ is
the normal derivative of $u.$ Furthermore, we suppose that the function $
\sigma: \mathbb{R} \to \mathbb{R}$, describing the microscopic nonlinear Neumann
boundary condition, is nondecreasing, $\sigma(0)=0$, and there exist
constants $k_1, k_{2}$ such that
\begin{equation}
|\sigma(s) - \sigma(t)|\le k_1 |s-t| ^{\alpha} + k_{2}|s-t| \quad \forall
s,t\in \mathbb{R}, \quad \text{for some } 0 < \alpha \le 1.  \label{eq:2}
\end{equation}

\begin{remark} \rm
Condition \eqref{eq:2} means that $\sigma$ is locally H\"older
continuous, but it is only sublinear towards infinity. This condition is
weaker than $u \in \mathcal{C}^{0,\alpha} (\mathbb{R})$ or $\sigma$
Lipschitz, that correspond, respectively, to $k_2 = 0$ and $k_1 = 0$.
\end{remark}

\begin{remark} \rm
Condition \eqref{eq:2} on $\sigma$ is a purely technical requirement. This
kind of regularity can probably be improved. In particular, as shown in \cite
{Diaz+Gomez-Castro+Podolski+Shaposhnikova:2016homogenization+Heaviside,diaz+gomez-castro+podolskii+shaposhnikova2017generalmmg}
the kind of homogenization techniques and result that will be presented
later can be expect for any maximal monotone graph $\sigma$.
\end{remark}

For any prescribed set ${G_0}$, as before, and for any given $u\in \mathbb{
R}$, we define $\widehat{w}(y;{G_0,}u)$, for $y\in $ $\mathbb{R}
^{n}\setminus G_0$, as the solution of the following one-parametric
family of auxiliary external problems associated to the prescribed
asymmetric geometry $G_0$ and the nonlinear microscopic boundary reaction
$\sigma (s)$:
\begin{equation}
\begin{gathered}
- \Delta_y{\widehat{w}}=0 \quad \text{if } y\in \mathbb
R^n\setminus\overline{G_0},\\
\partial_{\nu_y}\widehat{w}-C_0\sigma(u-\widehat{w})=0, \quad \text{if } \,
y\in \partial G_0,\\
\widehat{w}\to 0 \quad \text{as } | y | \to \infty.
\end{gathered}  \label{eq:12}
\end{equation}
We will prove in Section 4 that the above auxiliary external problems
are well defined and, in particular, there exists a unique solution
$\widehat{w}(y;{G_0,}u)\in H^{1}(\mathbb{R}
^{n}\setminus \overline{G_0})$, for any $u\in \mathbb{R}$. Concerning 
the corresponding \textquotedblleft new strange term\textquotedblright , for
any prescribed asymmetric set ${G_0}$, as before, and for any given $u\in
\mathbb{R}$ we introduce the following definition.

\begin{definition} \rm
Given ${G_0}$ we define $H_{G_0}:\mathbb{R\to }\mathbb{R}$ by
means of the identity
\begin{equation} \label{eq:15}
\begin{aligned}
H_{G_0}(u)& :=\int_{\partial {G_0}}\partial _{\nu _{y}}
\widehat{w}(y;{G_0,}u) \,\mathrm{d}S_y  \\
& =C_0\int_{\partial {G_0}}\sigma (u-\widehat{w}(y;{G_0,}u)) \,\mathrm{d}S_{y},
\quad\text{for any }u\in \mathbb{R}.
\end{aligned}
\end{equation}
\end{definition}

\begin{remark} \label{rem:H ball} \rm
Let $G_0=B_{1}(0):=\{x\in \mathbb{R}^{n}:|x|<1\}$ be
the unit ball in $\mathbb{R}^{n}$. We can find the solution of problem
\eqref{eq:12} in the form
$\widehat{w}(y;{G_0,}u)=\frac{\mathcal{H}(u)}{|y|^{n-2}}$, where, in this case,
$\mathcal{H}(u)$ is proportional to $H_{B_{1}(0)}(u)$. We can compute that
\begin{align*}
H_{G_0}(u)
&=\int_{\partial G_0}\partial_\nu \widehat{w}(u,y) \,
\mathrm{d}S_y \\
&=\int_{\partial G_0}(n-2)H_{G_0} (u) \, \mathrm{d}S_y \\
&=(n-2)\mathcal{H}(u)\omega(n),
\end{align*}
where $\omega(n)$ is the area of the unit sphere.
Hence, due to \eqref{eq:15}, $\mathcal H (u)$ is the unique
solution of the following functional equation
\begin{equation}
(n-2)\mathcal{H}(u)=C_0\sigma (u-\mathcal{H}(u)).
\end{equation}
In this case, it is easy to prove that $H$ is nonexpansive
(Lipschitz continuous with constant 1).
This equation has been considered in many papers (see
\cite{diaz+gomez-castro+podolskii+shaposhnikova2017generalmmg} and the references
therein).
\end{remark}

We shall prove several results on the regularity and monotonicity of the
homogenized reaction $H_{G_0}(u)$ in the next section. Concerning the
convergence as $\varepsilon \to 0$ the following statement collects
some of the more relevant aspects of this process:

\begin{theorem} \label{thm:nonlinear case}
Let $n\geq 3$, $a_{\varepsilon }=C_0{\varepsilon }^{-\gamma }$,
$\gamma =\frac{n}{n-2}$, $\sigma $ a
nondecreasing function such that $\sigma (0)=0$ and that satisfies
\eqref{eq:2}. Let $u_{\varepsilon }$ be the weak solution of \eqref{eq:1}.
Then there exists an extension to $H_0^1(\Omega)$, still denoted by $u_\varepsilon$,
such that $u_{\varepsilon }\rightharpoonup u_0$ in $H^{1}(\Omega )$ as
$\varepsilon \to 0$, where $u_0\in H_0^{1}(\Omega )$ is the
unique weak solution of
\begin{equation}
\begin{gathered}
-\Delta{u_0}+C^{n-2}_0 H_{G_0}(u_0)=f \quad \Omega,\\
u_0=0 \quad \partial\Omega.
 \end{gathered}  \label{eq:27}
\end{equation}
\end{theorem}

\begin{remark} \rm
 Since $|H_{G_0} (u)| \le C ( 1 + |u|)$ it is clear that
$H_{G_0}(u_0) \in L^2 (\Omega)$.
\end{remark}

\section{On the $\varepsilon $-global problem}

Some comments on the well-posednes and some a priori estimates
concerning the $\varepsilon $-global problem \eqref{eq:1}, when the
nondecreasing function $\sigma \in \mathcal{C}(\mathbb{R})$, $\sigma (0)=0$
satisfies \eqref{eq:2}, are collected in this section. We start by
introducing some notations:

\begin{definition} \rm
Let $U$ be an open set and $\Gamma \subset \partial \Omega $. We define the
functional space
\begin{equation*}
H^{1}(U,\Gamma )=\overline{\{f\in \mathcal{C}^{\infty }(U):f|_{\Gamma }=0\}}
^{H^{1}(U)}.
\end{equation*}
\end{definition}

Thanks to well-known results (see, e.g. the references given in
\cite{diaz+gomez-castro+podolskii+shaposhnikova2017generalmmg})  there exists
a unique weak solution of problem \eqref{eq:1}: i.e.
$u_{\varepsilon }\in H^{1}(\Omega _{\varepsilon },\partial \Omega )$
is the unique function such that
\begin{equation}
\int_{\Omega _{\varepsilon }}\nabla {u_{\varepsilon }}\nabla \varphi
\,\mathrm{d}x+\varepsilon ^{-\gamma }\int_{S_{\varepsilon }}\sigma
(u_{\varepsilon })\varphi \,\mathrm{d}S=\int_{\Omega _{\varepsilon
}}f\varphi \,\mathrm{d}x,  \label{eq:3} \\
\end{equation}
for every $\varphi \in H^{1}(\Omega _{\varepsilon },\partial \Omega )$. As a
matter of fact, in order to get a proof of the convergence of
$u_{\varepsilon }$ as $\varepsilon \to 0$, under the general
assumption  \eqref{eq:2}, it is useful to recall that, thanks to the
monotonicity of $\sigma (u)$, we can write the weak formulation of
\eqref{eq:1} in the following equivalent way (for details see
\cite{diaz+gomez-castro+podolskii+shaposhnikova2017jmaa}):
\begin{equation}
\int_{\Omega _{\varepsilon }}\nabla \varphi \cdot  \nabla (\varphi
-u_{\varepsilon })\,\mathrm{d}x+\varepsilon ^{-\gamma
}\int_{S_{\varepsilon }}\sigma (\varphi )(\varphi -u_{\varepsilon
})ds\geq \int_{\Omega _{\varepsilon }}f(\varphi -u_{\varepsilon })\,
\mathrm{d}x,  \label{eq:8}
\end{equation}
for every $\varphi \in H_0^{1}(\Omega )$.

Concerning some initial apriori estimates, we recall that we can work with $
\widetilde{u}_{\varepsilon }\in H_0^{1}(\Omega )$ given as an extension of
$u_{\varepsilon }$ to $\Omega $ such that
\begin{equation}
\| {\widetilde{u}_{\varepsilon }}\| _{H^{1}(\Omega )}
\leq K\| {u_{\varepsilon }}\| _{H^{1}(\Omega _{\varepsilon })},\quad
\| {\nabla {\widetilde{u}}_{\varepsilon }}\| _{L^{2}(\Omega )}
\leq K\| {\nabla {u_{\varepsilon }}}\| _{L^{2}(\Omega _{\varepsilon })},
 \label{eq:4}
\end{equation}
where $K$ does not depend on ${\varepsilon }$. The construction of such an
extension is given, e.g., in \cite{Shaposhnikova+Oleinik:1996Lincei}
(the $W^{1,p}$ equivalent, for $p \ne 2$, can be found in
\cite{Podolskii:2015extension+operator+noncritical+general+p}).

Now, considering in the weak formulation \eqref{eq:3} the test function
$\varphi =u_{\varepsilon }$, and using the monotonicity of $\sigma $, we
obtain
\begin{equation}
\| {\nabla {u_{\varepsilon }}}\| _{L_{2}(\Omega _{\varepsilon})}^{2}\leq K.  \label{eq:5} \\
\end{equation}
where $K$ does not depend on $\varepsilon $. From \eqref{eq:5} we derive
that there are a subsequence of $\widetilde{u}_{\varepsilon }$ (still denote
by ${\widetilde{u}_{\varepsilon }}$) and $u_0\in H_0^{1}(\Omega )$ such
that, as ${\varepsilon }\to 0$, we have
\begin{align}
\widetilde{u}_{\varepsilon }\rightharpoonup u_0\quad  \text{weakly in }
H_0^{1}(\Omega ),  \label{eq:6} \\
\widetilde{u}_{\varepsilon }\to u_0\quad  \text{strongly in }
L^{2}(\Omega ).  \label{eq:7}
\end{align}
In Section 4 we characterize the
limit function $u_0\in H_0^{1}(\Omega )$.

\section{On the regularity of the strange term}

\subsection{Auxiliary function $\widehat w$}

The existence and regularity of solution in domains
\begin{equation}
\mathcal{O }= \mathbb{R}^n \setminus \overline {G_0}
\end{equation}
which are commonly known as exterior domains, has been extensively studied
(see, e.g., \cite{Galdi2011} and the references therein).

Based on the rate of convergence to $0$ as $|y| \to + \infty$ we consider
the space
\begin{equation}
\mathbb{X }= \big\{ w \in L^1_{loc} (\mathcal{O}) : \nabla w \in L^2 (
\mathcal{O}),\; w|_{\partial G_0} \in L^2 (\partial G_0), \; |w| \le \frac{K}{
|y|^{n-2}} \big\}
\end{equation}

It is a standard result, known as Weyl's lemma, that any harmonic function
is smooth (of class $\mathcal C^\infty$) in the interior
of the domain. It was first proved for the whole space by
Hermann Weyl \cite{Weyl1940}, and later extended by others to any open set
in $\mathbb R^n$ (see, e.g., \cite{Ladyzhenskaya1968linear+quasilinear}).

\begin{remark} \rm
Notice that $\widetilde w (y;G_0,u) = - \widehat w(y;G_0, - u)$ is a solution of
\eqref{eq:12} that corresponds to $\widetilde \sigma (s) = - \sigma( - s)$.
Hence, any comparison we prove for $u \ge 0$ we automatically prove for $u
\le 0$.
\end{remark}

\subsubsection{A priori estimates}

\begin{lemma}[Weak maximum principle in exterior domains]
 Assume that $w \in \mathbb X$ is such that
 \begin{gather*}
 -\Delta w \le 0 \quad \mathcal D'(\mathcal O ), \\
 w \le 0 \quad \partial  G_0.
 \end{gather*}
 Then $w \le 0$ in $\overline{ \mathcal O}$.
\end{lemma}

\begin{proof}
 Let $R > 0$. Consider $\mathcal O_R = \mathcal O \cap B_R$.
Since $w \in \mathbb X$ then $w \le \frac K {|y|^{ n-2 } }$.
Using the hypothesis $w \le 0$ on $\partial G_0$ and this fact,
$\frac{K}{R^{n-2}}$ on $\partial \mathcal O_R$. We can apply the
standard weak maximum principle for weak solutions in $\mathcal O_R$
to show that $w \le \frac{K}{R^{n-2}}$ on $\overline {\mathcal O}_R$.
As $R \to +\infty$ we prove the result.
\end{proof}

Analogously, we have the strong maximum principle.

\begin{lemma} \label{lem:w less u}
Let $\sigma$ nondecreasing, $u \in \mathbb{R}$, $\widehat w \in \mathbb{X}$
be a weak solution of \eqref{eq:12}. Then
\begin{equation}
\min\{0,u\} \le \widehat w \le \max \{0,u\}
\end{equation}
\end{lemma}

\begin{proof}
 For $u = 0$, $w = 0$ follows from a monotonicity argument.
 Assume $u > 0$. Let $\psi \in W^{1, \infty} (\mathbb R)$ non-increasing
such that
 \begin{equation*}
 \psi (s) = \begin{cases}
  1 & s < \frac 1 2 \\
  0 & s > 1
 \end{cases}
 \end{equation*}
 and consider the test function
$\varphi = (w - u)_+ \psi \big( \frac{d (\cdot, \partial G_0)}{R} \big)$. Then
 \begin{align*}
&\int _{\mathcal O } | \nabla (w - u)_+|^2  \psi
\Big( \frac{d (x, \partial G_0)}{R} \Big) \,\mathrm{d}x
+ \int_{\mathcal O} (w - u)_+ \frac{\psi'\big(\frac{d (x, \partial G_0)}{R} \big)}{R}
 \nabla w \cdot \nabla d  \,\mathrm{d}x \\
&=C_0 \int_{ \partial G_0 } \sigma(u - w) (w - u)_+ \,\mathrm{d}S \le 0
 \end{align*}
and
 \begin{align*}
&\Big| \int_{\mathcal O} (w - u)_+
\frac{\psi' \big( \frac{d (x, \partial G_0)}{R} \big)}{R} \nabla w \cdot \nabla d
  \,\mathrm{d}x \Big| \,\mathrm{d}x \\
&\le C\int_{\{\frac R 2 < d < R\}} \frac{ w } {R } |\nabla w|\,\mathrm{d}x \\
&\le C \Big(  \int_{\{\frac R 2 < d < R\}} \frac{|w|^2}{R^2 } \,\mathrm{d}x \Big) ^{1/2}
 \Big(  \int_{\mathcal O} |\nabla w|^2 \,\mathrm{d}x \Big) ^{1/2} \\
 &\le \frac{C}{R^{\frac{ n-2 } 2}} \Big(  \int_{\mathcal O} |\nabla w|^2 \,\mathrm{d}x \Big) ^{1/2}
 \to 0,
 \end{align*}
 as $R\to \infty$.
 Therefore,
 \begin{align*}
 0 &\le \int _{0 \le d < \frac R 2} | \nabla (w - u)_+|^2 \,\mathrm{d}x
  \le  \int _{\mathcal O } | \nabla (w - u)_+|^2 \psi
 \Big( \frac{d (x, \partial G_0)}{R} \Big) \,\mathrm{d}x \\
 & \le - \int_{\mathcal O} (w - u)_+ \frac{\psi'
\Big( \frac{d (x, \partial G_0)}{R} \Big)}{R} \nabla w \cdot \nabla d  \,\mathrm{d}x .
 \end{align*}
 As $R \to +\infty$ we obtain that
 \begin{equation}
 \int _{\mathcal O} | \nabla (w - u)_+|^2 \,\mathrm{d}x = 0.
 \end{equation}
 In particular $(w-u)_+ \ge 0$ is a constant. Since, as $|y| \to +\infty$
we show that the constant must be $(-u)_+ = 0$ we deduce that $w - u \le 0$.

 If $u < 0$ we apply the previous argument with $\tilde \sigma(s) = - \sigma(-s)$.
 \end{proof}

\begin{lemma} \label{lem:subharmonic w}
 Let $u \in \mathbb{R}$, $w \in \mathbb X$ such that $w \le u$ in $\partial G_0$
and $-\Delta w \le 0$ and
\begin{equation*}
K_0 = \max _{z \in \partial G_0} |z|^{n-2}.
\end{equation*}
Then
\[
w\le \frac {K_0u}{|y|^{n-2}} \quad \forall y \in \overline {\mathcal{O}}.
\]
\end{lemma}

\begin{proof}
 Notice that
 \begin{equation*}
 \max _{z \in \partial G_0}  w(z) |z|^{n-2}
\le u \max _{z \in \partial G_0}  |z|^{n-2} = K_0u .
 \end{equation*}
 Then
 \begin{equation*}
 w \le  \frac {K_0u}{|y|^{n-2}} \quad  y \in \partial G_0.
 \end{equation*}
 Since $w- \frac{K_0 u}{|y|^{n-2}}$ is subharmonic and tends to $0$ as
 $|y| \to +\infty$, we can apply the weak maximum principle to deduce that
 \begin{equation*}
 w(y) \le  \frac {K_0 u}{|y|^{n-2}} \quad  y \in \mathbb R^n \setminus { G_0}.
 \end{equation*}
 This proves the result.
\end{proof}


 By the same argument it is easy to prove that any classical solution
$\widehat w \in \mathcal C^2 (\mathcal O) \cap \mathcal C(\overline{ \mathcal O})$
is, in fact, in $\mathbb X$. Furthermore, we have an explicit expression of
 the $K$ in the definition of $\mathbb X$ for the solutions of \eqref{eq:12}:

\begin{lemma}  \label{lem:bound hat w}
 Let $\widehat w \in \mathbb X$ be a solution of \eqref{eq:12}. Then
 \begin{equation}  \label{eq:bound hat w}
 |\widehat{w}(y;G_0,u)| \le \frac {K_0|u| }{|y|^{n-2}} \quad \forall y \in
 \overline {\mathcal{O}}.
 \end{equation}
\end{lemma}

\begin{lemma} \label{lem:bounds gradient hat w}
Let $R_0 = \max_{\partial G_0} |y|$, $
\widehat w \in \mathbb{X}$ be a weak solution of \eqref{eq:12}. Then
\begin{equation}
\max_{|y| = R} |\nabla \widehat{w}(y;G_0,u) | \le \frac{K|u|}{(R-R_0)^{n-1}}
\quad \forall R > R_0
\end{equation}
where $K$ does not depend on $u$ or $R$.
\end{lemma}

\begin{proof}
 Let $|y_0|=R$. Let $B$ be a ball centered at $y_0$ of radius $\frac{R-R_0}{2} $.
In $B$ we have $|y|\ge \frac {R-R_0}2$.
 Since $\frac{\partial \widehat w}{\partial x_i}$ is a harmonic function,
and applying Lemma \ref{lem:bound hat w}, we  have
 \begin{gather*}
 \frac{\partial \widehat w}{\partial x_i}(y_0)
= \frac{1}{|B|} \int  _ B \frac{\partial \widehat w}{\partial x_i} \,\mathrm{d}y
= \frac{1}{|B|} \int _{\partial B} \widehat w \nu_i\,\mathrm{d}S,\\
 \big| \frac{\partial \widehat w}{\partial x_i} (y_0)   \big|
\le \frac{|\partial B|}{|B|} \frac{K|u|}{(R-R_0)^{n-2}}
\le \frac{ K|u|}{(R-R_0)^{n-1}}.
 \end{gather*}
 This completes the proof.
\end{proof}

\subsubsection{Uniqueness, comparison and approximation of solutions}

\begin{lemma} \label{lem:comparison w different sigma}
Let $u \in \mathbb R$, $\sigma_1, \sigma_2$ be two nondecreasing functions such that
$\sigma_1 \le \sigma_2$ in $[0,+\infty)$ and let $w_1, w_2 \in \mathbb X$
satisfy \eqref{eq:12}. Then $w_1 \le w_2$.
\end{lemma}

\begin{proof}
 We subtract the two weak formulations, and consider $\varphi = (w_1 - w_2)_+$
as a test function. We obtain that
 \begin{equation*}
 \int _{\mathbb R^n \setminus G_0 } |\nabla (w_1 - w_2)_+ |^2  \,\mathrm{d}x
 = \int_{\partial G_0 } (\sigma_1(u - w_1 ) - \sigma_2 (u - w_2) ) (w_1 - w_2)_+ \,\mathrm{d}S
 \end{equation*}
 Thus, in the set $\{w_2 \le w_1\}$ we have that $u - w_2 \ge u - w_1$ and, hence,
 \begin{equation*}
 \sigma_2 (u - w_2) \ge \sigma_2 (u - w_1) \ge \sigma_1 (u - w_1),
 \end{equation*}
 so
 \begin{equation*}
 \sigma_1(u - w_1 ) - \sigma_2 (u - w_2) \le 0.
 \end{equation*}
 Thus, since $(w_1 - w_2)_+ \ge 0$ a.e. in $\partial G_0$, we have that
 \begin{equation}
 \int _{\mathbb R^n \setminus G_0 } |\nabla (w_1 - w_2)_+ |^2  \,\mathrm{d}x \le 0.
 \end{equation}
 Hence $(w_1 - w_2)_+ = c$ constant. Since $(w_1-w_2)_+ \to 0$ as
$|y| \to +\infty$, we have that $c = 0$ and thus $w_1 \le w_2$.
\end{proof}

\begin{corollary}
There exists, at most, one solution $w \in \mathbb{X}$ of \eqref{eq:12}.
\end{corollary}

\begin{lemma} \label{lem:continuity hat w respect sigma}
 Let $\sigma_1, \sigma_2 \in \mathcal{C}(\mathbb{R})$ be two nondecreasing function.
 Let $\widehat w_i (\cdot; G_0, u) \in \mathbb{X}$ be a solution of
\begin{equation}
\begin{gathered}
- \Delta_y{\widehat{w}_i }=0 \quad \text{if }
 y\in \mathbb R^n\setminus\overline{G_0},\\
\partial_{\nu_y}\widehat{w}_i-C_0\sigma_i (u-\widehat{w}_i)=0, \quad \text{if }
 y\in \partial G_0,\\
\widehat{w_i}\to 0 \quad  \text{as } | y | \to \infty.
\end{gathered}
\end{equation}
Then
\begin{equation}
\|\nabla (\widehat w_1 - \widehat w_2) \|_{L^2 (\mathcal{O})}^2 \le C |u| \|
\sigma_1 - \sigma_2 \|_{L^\infty (I)} ,
\end{equation}
where
\begin{equation}
I = \{ u - \widehat w_1 (y; G_0, u) : y \in \mathbb{R}^n \setminus \overline G_0\}
\subset \mathbb{R },
\end{equation}
and $C$ is independent of $u$.
\end{lemma}

\begin{proof}

 By taking as test function $\varphi = \widehat w_1- \widehat w_2$
in the weak formulation of these equations we have that
 \begin{align*}
 \|\nabla (\widehat w_1- \widehat w_2) \|_{L^2 (\mathcal O)}^2 
 &\le \int   _{\mathcal O} |  \nabla (\widehat w_1- \widehat w_2)  |^2 \,\mathrm{d}x \\
 &\quad + \int  _{\partial G_0} (\sigma_2(u - \widehat w_2)
 - \sigma_2 (u - \widehat w_1) ) ( \widehat w_1- \widehat w_2)\,\mathrm{d}S \\
 &= \int   _{\partial G_0}   (\sigma_1(u - \widehat w_1)
 - \sigma_2 (u - \widehat w_1) ) ( \widehat w_1- \widehat w_2)\,\mathrm{d}S \\
 &\le \| \sigma_1- \sigma_2 \|_{\infty} \int   _{\partial G_0}
 | \widehat w_1- \widehat w_2| \,\mathrm{d}S \\
 &\le C |u| \| \sigma_1- \sigma_2 \|_{\infty} .
 \end{align*}
 This completes the proof.
\end{proof}

\subsubsection{Existence and regularity}

\begin{lemma}\label{lem:existence hat w}
 Let $u \in \mathbb{R}$ and $\sigma$ uniformly Lipschitz. Then, there
exists $\widehat w \in \mathbb{X}$ a weak solution of \eqref{eq:12}.
Furthermore, $\widehat w$ satisfies \eqref{eq:bound hat w}.
\end{lemma}

\begin{proof}
Let us assume that $u > 0$. Let $\lambda > 0$, and consider $\mu > 0$ such that
 \begin{equation*}
 F: z \mapsto C_0 \sigma(u - z) + \mu z
 \end{equation*}
 is nondecreasing. Let $w_0 = 0$. We define the sequence
$w_k \in H^1 (\mathcal O)$ as the solutions of
 \begin{gather*}
 -\Delta w_{k+1} + \lambda w_{k+1}  = \lambda w_k  \quad \mathcal O, \\
 \partial_ \nu w_{k+1} +  \mu w_{k+1} = F(w_k) \quad \partial G_0, \\
 w_{k+1} \to 0 \quad |y | \to +\infty.
 \end{gather*}
This sequence is well defined, since $\lambda > 0$ applying the Lax-Milgram theorem.
Indeed, if $w_k \in H^1 (\mathcal O)$ then $F(w_k) \in H^{1/2} (\partial G_0)$
so that $w_{k+1} \in H^1 (\mathcal O)$.

 Let us show that $0 \le w_k \le w_{k+1} \le u$ a.e. in $\mathcal O$ and
$\partial G_0$ for every $n \ge 1$.
 We start by showing that $0 \le w_1$. This is immediate because
$F(0) = C_0 \sigma (u) \ge 0$.
 Let us now show that, if $w_{k-1} \le w_k$ then $w_k \le w_{k+1}$.
Considering the weak formulations:
 \begin{equation}
\begin{aligned}
& \int _\mathcal O \nabla w_{k+1} \nabla v \,\mathrm{d}x+ \lambda \int _\mathcal O w_{k+1} v \,\mathrm{d}x
+  \mu \int_ {\partial G_0} w_{k}  v\,\mathrm{d}S \\
&= \lambda \int_\mathcal O  w_{k+1}  v \,\mathrm{d}x
+ \int_{ \partial G_0 } F(w_k ) v\,\mathrm{d}x
\end{aligned}
 \end{equation}
 we have that
 \begin{align*}
 &\int _\mathcal O \nabla (w_k - w_{k+1}) \nabla v\,\mathrm{d}x
 + \lambda \int _\mathcal O (w_k - w_{k+1}) \varphi\,\mathrm{d}x
 +  \mu \int_ {\partial G_0} (w_k - w_{k+1})   v \,\mathrm{d}S\\
 &=\lambda \int_\mathcal O  (w_{k-1} - w_{k})   v \,\mathrm{d}x
 + \int_{ \partial G_0 } ( F(w_{k-1}) -  F(w_k ) ) v \,\mathrm{d}S
 \end{align*}
 Consider $v = (w_k - w_{k+1})_+ \ge 0$. We have that
$w_{k-1}  \le w_k $ therefore $w_{k-1} - w_k, F(w_{k-1}) - F(w_k) \le 0$. Hence
 \begin{align*}
&\int _\mathcal O |\nabla (w_k - w_{k+1})_+|^2 \,\mathrm{d}x
+  \lambda \int _\mathcal O |(w_k - w_{k+1})_+|^2 \,\mathrm{d}x
+  \mu \int_ {\partial G_0} |(w_k - w_{k+1})_+|^2 \,\mathrm{d}S \\
 &=\lambda \int_\mathcal O  (w_k - w_{k+1})v \,\mathrm{d}x
+ \int_{ \partial G_0 } ( F(w_{k-1}) -  F(w_k ) ) v\,\mathrm{d}S  \le 0 
 \end{align*}
 so that $(w_k - w_{k+1})_+ = 0$. Hence $w_k \le w_{k+1}$ a.e. in
 $\mathcal O$ and in $\partial G_0$. With an argument similar to the one
in Lemma \ref{lem:w less u}, one proves that $w_{k+1} \le u$ a.e. in
$\mathcal O$ and $\partial G_0$.

 The sequence $w_k$ is pointwise increasing a.e. in $\mathcal O$.
Therefore, there exists a function $w$ such that
 \begin{equation}
 w_k (y) \nearrow w(y) \quad \text{a.e. } \mathcal O.
 \end{equation}
 Taking traces, the same happens in $\partial G_0$. Hence
 \begin{equation}
 w_k (y) \nearrow w(y) \quad \text{a.e. } \partial G_0.
 \end{equation}
 Thus $F(w_k) \nearrow F(w)$ a.e. in $L^2 (\partial G_0)$.
Since $F(w) \le F(u)$ and $\partial G_0$ has bounded measure, we have that
 \begin{equation} \label{eq:existence convergence of boundary term}
 F(w_k) \to F(w) \quad \text{in } L^2 (\partial G_0).
 \end{equation}
 We have that
 \begin{equation*}
 -\Delta w_{k+1} = \lambda (w_k - w_{k+1}) \le 0 \quad \mathcal O.
 \end{equation*}
 Hence, $w_{k}$ are all subharmonic. Then, since $w_{k} \to 0$ as
 $|y| \to 0$ and $w_{k} \in \mathbb X$ and $w_{k} \le u$ on $\partial G_0$,
 by Lemma \ref{lem:subharmonic w} we have that
 \begin{equation*}
 0 \le  w_{k} \le \frac{K_0 u}{|y|^{n-2}}.
 \end{equation*}
 in particular $w_{n} \in \mathbb X$. Passing to the limit we deduce that
 \begin{equation*}
  0 \le  w  \le \frac{K_0 u}{|y|^{n-2}} \quad y \in \mathcal O
 \end{equation*}
 Hence $ w \to 0$ as $|y| \to +\infty$.
 Applying an equivalent argument to the one in Lemma
\ref{lem:continuity hat w respect sigma} we have that $\nabla w_k$ is
a Cauchy sequence in $L^2 (\mathcal O)^n$. In particular, there
exists $\xi \in L^2 (\mathcal O)^n$ such that
 \begin{equation*}
 \nabla w_k \to \xi \quad \text{in }L^2 (\mathcal O)^n.
 \end{equation*}
 Consider $\mathcal O' \subset \mathcal O$ open and bounded. Then we have that
 \begin{equation*}
 \int _{\mathcal O'} |\nabla w_k |^2 \,\mathrm{d}y
\le \int _{\mathcal O} |\nabla w_n |^2 \,\mathrm{d}y
 \end{equation*}
is bounded, and
 \begin{equation*}
 \int _{\mathcal O'} |w_k|^2 \,\mathrm{d}y \le |u|^2 |\mathcal O'| .
 \end{equation*}
Hence, there is convergent subsequence in $H^1 (\mathcal O')$.
Any convergent subsequence must have the same limit, so
$ w_k \rightharpoonup  w$  $ H^1 (\mathcal O')$.
 In particular
 \begin{equation*}
 \xi = \nabla w \quad \text{a.e. } \mathcal O'.
 \end{equation*}
 Since this works for every $\mathcal O'$ bounded we have that
$\nabla w \in L^2 (\mathcal O)^n$, hence $w \in \mathbb X$, and
 \begin{equation*}
 \nabla w_n \to \nabla w \quad \text{in } L^2 (\mathcal O)^n.
 \end{equation*}
 Using this fact and \eqref{eq:existence convergence of boundary term},
we can pass to the limit in the weak formulation to deduce that
\begin{gather*}
 -\Delta w = 0 \quad \mathcal O,\\
 \frac{\partial w}{\partial n} = C_0 \sigma (u - w) \quad \partial G_0.
 \end{gather*}
In particular, a solution of \eqref{eq:12}. The same reasoning applies to case
$u < 0$.
\end{proof}

\begin{corollary}
Let $\sigma \in \mathcal{C}(\mathbb{R})$ be nondecreasing be such that
\begin{equation}
|\sigma (u) | \le C (1 +  |u|).
\end{equation}
Then, there exists a unique solution of \eqref{eq:12}.
\end{corollary}

\begin{proof}
 Let us assume first that $u > 0$. Let $ \sigma_m \in C^1 ([0,|u|])$ be a
pointwise increasing sequence that approximates $\sigma$ uniformly in $[0,|u|]$.
Since $\sigma_m$ is Lipschitz, then $\widehat w_m$ exists by the previous part.
Because of Lemma \ref{lem:comparison w different sigma}, the sequence $\widehat w_m$
 of solutions of \eqref{eq:12} is pointwise increasing.
 Since we know that, we have that $\widehat w_m \le u$ then, for a.e.
$y \in \mathcal O$, $\widehat w_m (y)$ is a bounded and increasing sequence
 \begin{equation*}
	 \widehat w_m (y) \nearrow  w (y).
 \end{equation*}
for some $w(y)$. In particular
 \begin{equation*}
 0 \le w(y) \le \frac{K_0 u}{|y|^{n-2} } \quad y \in \mathcal O.
 \end{equation*}
 Applying as in the proof of Lemma~\ref{lem:existence hat w} we deduce that
$w \in \mathbb X$ and it is a solution of \eqref{eq:12}.
The proof for $u < 0$ follows in the same way, by taking a pointwise
decreasing sequence $\sigma_m$.
 \end{proof}

With the same techniques we can prove the following
(applying that $u - w \ge 0$ for $u \ge 0$ and $u - w \le 0$ for $u \le 0$):

\begin{lemma} \label{lem:convergence hat w}
Let $u \in \mathbb{R}$, $\mathcal{O}'\subset \mathcal{O}$ bounded, $\sigma, \sigma_m$ be nondecreasing
continuous functions such that $\sigma(0) = \sigma_m (0) = 0 $ and
$|\sigma_m|\le|\sigma|$ and $\sigma_m \to \sigma$ in
$\mathcal{C}([-2|u|,2|u|])$. Then:
\begin{equation}
\widehat w_m (\cdot; G_0, u )\to \widehat w (\cdot; G_0, u)\quad
\text{strongly in } H^1 (\mathcal{O}').
\end{equation}
Furthermore,
\begin{enumerate}
 \item If $u \ge 0$ then $\widehat w_m \nearrow \widehat w$ a.e.
$y \in \mathcal O$ and $y \in \partial G_0$.
 \item If $u \le 0$ then $\widehat w_m \searrow \widehat w$  a.e.
$y \in \mathcal O$ and $y \in \partial G_0$.
\end{enumerate}
\end{lemma}

\subsubsection{Lipschitz continuity with respect to $u$}

\begin{lemma}
For every $y \in \mathbb{R}^n \setminus G_0$, $\widehat{w}(y;{G_0,}u)$ is a
nondecreasing Lipschitz-continuous function with respect to $u$. In fact,
\begin{equation}
|\widehat{w}(u_1;G_0,y) -\widehat{w}(y;G_0,u_2)|\le | u_1-u_2|\quad \forall u_1,u_2
\in \mathbb{R}, \; \forall y \in \mathbb{R}^n \setminus G_0.  \label{eq:14}
\end{equation}
Furthermore, for every $y \in \partial G_0$, $\partial_\nu \widehat{w}(y;G_0,u)$
is also nondecreasing in $u$.
\end{lemma}

\begin{proof}
 Let us consider first that $\sigma \in \mathcal C^1 (\mathbb R)$. We have that
$\widehat{w}(\cdot;G_0,u) \in \mathcal C(\overline{ \mathcal O})\cap \mathcal C^2 (\mathcal O)$
for every $u \in \mathbb R$ and the equation is satisfied pointwise
(see \cite{Ladyzhenskaya1968linear+quasilinear}).

 Let us first consider $u_1 > u_2$. We want to prove the following
 \begin{gather}
 \label{eq:hat w u1 less u2}
 0 \le \widehat{w}(u_1;G_0,y) - \widehat{w}(y;G_0,u_2)  \le u_1 - u_2\\
 \label{eq:monotonicity normal derivative of hat w}
 \partial_ \nu \widehat{w}(u_1;G_0,y) \ge \partial_\nu \widehat{w}(y;G_0,u_2).
 \end{gather}
 That
 \begin{equation}  \label{eq: w u1 greater w u2}
 \widehat{w}(u_1;G_0,y) \ge  \widehat{w}(y;G_0,u_2).
 \end{equation}
 follows from the comparison principle. Indeed, let us plug $\widehat{w}(u_1;G_0,y)$
in the equation for $\widehat{w}(y;G_0,u_2)$:
 \begin{equation}
 \begin{gathered}
 -\Delta \widehat{w}(u_1;G_0,y) = 0 \quad \mathbb R^n \setminus G_0, \\
\begin{aligned}
 &\partial_{{\nu_y}} \widehat{w}(u_1;G_0,y) - C_0 \sigma(u_2 - \widehat{w}(u_1;G_0,y)) \\
 & = C_0 \left(\sigma(u_1  - \widehat{w}(u_1;G_0,y))-\sigma(u_2 - \widehat{w}(y;G_0,u_2))   \right)
\ge  0  \quad \partial G_0,
\end{aligned}\\
 \widehat{w}(u_1;G_0,y) \to 0 \quad |y| \to +\infty.
 \end{gathered}
 \end{equation}	
 Therefore, $\widehat{w}(u_1;G_0,y)$ is a supersolution of the problem for
 $\widehat{w}(y;G_0,u_2)$. Applying the comparison principle we deduce
\eqref{eq: w u1 greater w u2}.

 We define
 \begin{equation}
 g(u_1,u_2,y)=\widehat{w}(u_1;G_0,y)-\widehat{w}(y;G_0,u_2) \ge 0.
 \end{equation}
 The function $g$ is the solution of the following elliptic problem:
 \begin{equation}
 \begin{gathered}
 \Delta_y{g}=0 \quad \text{if } y\in \mathbb R^n\setminus\overline{G_0},
\\
\partial_{\nu_y}{g} -C_0\Big(\sigma(u_1-\widehat{w}(u_1;G_0,y))
  -\sigma(u_2-\widehat{w}(y;G_0,u_2))\Big)=0 \quad  \text{if }  y\in \partial G_0,
\\
 g\to 0  \quad \text{as } | y | \to \infty .
 \end{gathered}
 \label{eq:13}
 \end{equation}
 Let us consider the boundary condition for $y \in \partial G_0$:
 \[
 \partial_{\nu_y}{g} (y)=C_0(\sigma(u_1-\widehat{w}(u_1;G_0,y))-\sigma(u_2-\widehat{w}(y;G_0,u_2)))
 \]
 multiplying by $u_1-u_2-g(u_1,u_2,y)$, and applying the monotonicity of $\sigma$,
 we have
 \begin{equation} \label{eq:monotonicity g}
 (\partial_{\nu}{g}(y))(u_1-u_2-g(y))\ge 0\quad \forall y \in \partial G_0.
 \end{equation}
 Let $g(y_0) = \max_{\partial G_0} g$ for some $y_0 \in \partial G_0$.
By the strong maximum principle $g(y_0) = \max_{\mathbb R^n \setminus {G_0}} g$.
Hence $g(y) \le g(y_0)$ for $y \in \mathbb R^n \setminus G_0$ and we have
 \begin{equation*}
 \partial_{{\nu_y}} g (y_0) \ge 0.
 \end{equation*}
Assume, first, that $\sigma$ is strictly increasing. We study two cases.
 If $\partial_{{\nu_y}} g(y_0) > 0$ then, by \eqref{eq:monotonicity g},
 \begin{equation*}
 u_1 - u_2 \ge g(y_0) \ge g(y) \quad \forall y \in \mathbb R^n \setminus G_0.
 \end{equation*}
 If $\partial_\nu g (y_0) = 0$ then, by \eqref{eq:13},
 \begin{gather*}
 \sigma(u_1 -\widehat{w}(y_0;G_0,u_1)) = \sigma(u_2 -\widehat{w}(y_0;G_0,u_2) ) \\
 u_1 -\widehat{w}(y_0;G_0,u_1) = u_2 -\widehat{w}(y_0;G_0,u_2)  \\
 u_1 - u_2 = g(y_0) \ge g(y) \quad \forall y \in \mathbb R^n \setminus G_0.
 \end{gather*}
 Either way, we deduce that \eqref{eq:hat w u1 less u2} holds. Hence,
 \begin{equation*}
 \sigma(u_1-\widehat{w}(u_1;G_0,y)) \ge \sigma(u_2-\widehat{w}(y;G_0,u_2)) \quad
 \forall y \in \partial G_0
 \end{equation*}
 so \eqref{eq:monotonicity normal derivative of hat w} holds.
This concludes the proof when $\sigma$ is strictly increasing.

 Let $\sigma$ be a nondecreasing function and $U=  \max\{|u_1|,|u_2|\}$.
We consider an approximation sequence $\sigma_m$ of $\sigma$ in $[-2U,2U]$ 
by strictly increasing smooth functions such that $|\sigma_m| \le |\sigma|$. 
Consider $\widehat w_m$ as defined in Lemma \ref{lem:approximation of hat w}.
 We have that
 \begin{equation*}
 u_i - \widehat{w}(y;G_0,u_i) \in [-2U,2U] \quad \forall i =1,2, 
 \forall y \in \mathbb R^n \setminus \overline G_0.
 \end{equation*}	
 By the previous part $\widehat w_m$ satisfies \eqref{eq:hat w u1 less u2} 
and \eqref{eq:monotonicity normal derivative of hat w}.
 Applying Lemma \ref{lem:convergence hat w} we have a.e.-pointwise convergence 
$\widehat w_m (u_i, y) \to \widehat w (u_i,y) $ for $i = 1,2$, up to a subsequence,
 as $m \to +\infty$. Therefore \eqref{eq:hat w u1 less u2} 
and \eqref{eq:monotonicity normal derivative of hat w} hold almost everywhere in $y$. 
Since $\widehat w$ is continuous, \eqref{eq:hat w u1 less u2} and 
\eqref{eq:monotonicity normal derivative of hat w}   hold everywhere. 
This concludes the proof in the case $u_1 > u_2$.
 
 If $u_1 < u_2$ we can exchange the roles of $u_1$ and $u_2$ in 
\eqref{eq:hat w u1 less u2} to deduce \eqref{eq:14}. This concludes the proof.
\end{proof}

\subsubsection{Auxiliary function $\widehat w_\varepsilon^j$}

We conclude this section by introducing the following function:

\begin{definition} \rm
Let $u \in \mathbb{R}$, $j \in \Upsilon_\varepsilon$ and $\varepsilon > 0$.
We define
\begin{equation}
\widehat w _\varepsilon ^j(x; G_0, u)
= \widehat{w}\Big(\frac{x-P^j_\varepsilon}{a_\varepsilon};G_0,u\Big) .
\end{equation}
\end{definition}

It is clear that this function is the solution of the problem
\begin{equation}
\begin{gathered}
-\Delta \widehat w_\varepsilon^j = 0 \quad\mathbb R^n \setminus G_\varepsilon^j, \\
\partial_n \widehat w_\varepsilon^j - \varepsilon^{-\gamma} \sigma (u -
\widehat w_\varepsilon^j) = 0 \quad \partial G_\varepsilon^j \\
\widehat w_\varepsilon^j \to 0 \quad  |x| \to + \infty .
\end{gathered}
\end{equation}
We have the following estimates:

\begin{lemma}\label{lem:bounds hat w eps}
Let $\varepsilon,r > 0$ and $x \in \partial T_{r\varepsilon} ^j $. Then
\begin{equation}
|\widehat{w}_\varepsilon^j (x; G_0, u) |\le \frac{K|u|}{\left|\frac{x -
P_\varepsilon^j}{a_\varepsilon} \right|^{n-2}}\le\frac{K|u|
a_\varepsilon^{n-2}}{r^{n-2} \varepsilon^{n-2}} \le \frac{ K|u| } {r^{n-2}}
\varepsilon^2
\end{equation}
where $K$ does not depend on $r, |u|$ or $\varepsilon$.
\end{lemma}

\begin{lemma} \label{lem:bounds gradient hat w eps}
For $\varepsilon,r > 0$ be such that $a_\varepsilon < \frac{ r \varepsilon }{2R_0}$.
Let $x \in \partial T_{r\varepsilon} ^j$. Then
\begin{align}
|\nabla \widehat{w}_\varepsilon^j (x; G_0, u)|\le \frac{ K| u |} {r^{n-1} }
\varepsilon ,
\end{align}
where $K$ does not depend on $r, \varepsilon$ or $j$.
\end{lemma}

\begin{proof}
 By the definition of $\widehat w _\varepsilon^j$ we have
 \begin{equation*}
 \nabla \widehat w_\varepsilon^j (x; G_0,u) = a_\varepsilon^{-1} (\nabla \widehat w )
\Big( \frac{x - P_\varepsilon^j}{a_\varepsilon}; G_0, u \Big)
 \end{equation*}
 Therefore, for $x \in \partial T_{r \varepsilon }^j $,
 \begin{align*}
 |\nabla \widehat w_\varepsilon^j |
&= a_\varepsilon^{ -1}  \big| \nabla \widehat w \Big( \frac{x - P_\varepsilon^j}{a_\varepsilon} \Big)  \big|
  \le \frac{K|u| a_\varepsilon^{-1}}{\left( |  \frac{x - P_\varepsilon^j}{a_\varepsilon} |
- R_0 \right)^{n-1}} \\
  & \le \frac{K|u|a_\varepsilon^{n-2}}{ \left( r \varepsilon  - a_\varepsilon R_0  \right)^{n-1}  }
 \le \frac{K |u| a_\varepsilon^{n-2} }{\left( \frac {r\varepsilon}{2} \right) ^{n-1} } \\
  & \le \frac{ K| u |} {r^{n-1} } \varepsilon.
 \end{align*}
 This completes the proof.
\end{proof}

\subsection{Properties of $H_{G_0}$}

\begin{lemma} \label{lem:regularity of H}
$H_{G_0}$ is a nondecreasing function. Furthermore:
\begin{enumerate}
\item If $\sigma$ satisfies \eqref{eq:2}, then so does $H_{G_0}$.

\item If $\sigma \in \mathcal{C}^{0,\alpha} (\mathbb{R})$, then so is $H_{G_0}$.

\item If $\sigma \in \mathcal{C}^1 (\mathbb{R})$, then $H_{G_0}$ is locally
Lipschitz continuous.

\item If $\sigma \in W^{1, \infty} (\mathbb{R})$, then so is $H_{G_0}$.
\end{enumerate}
\end{lemma}

\begin{proof}
 Let us prove the monotonicity of $H_{G_0}  (u)$ given by \eqref{eq:15}.
 Let $u_1 > u_2$. By applying \eqref{eq:monotonicity normal derivative of hat w}
we deduce that $H_{G_0} (u_1 ) \ge H_{G_0} (u_2)$.

 Assume \eqref{eq:2}. Indeed, taking into account \eqref{eq:14} we deduce
\begin{equation}
 \begin{aligned}
&|H_{G_0}  (u)-H_{G_0} (v)| \\
&\le C_0\int_{\partial{G_0}}|\sigma(u-\widehat{w}(y;{G_0,}u))
 -\sigma(v-\widehat{w}(y;G_0,v))|\,\mathrm{d}S _{y}   \\
 &\le C_0k_1\int_{\partial{G_0}}\Bigl(|u-v|+|\widehat{w}(y;{G_0,}u)
-\widehat{w}(y;G_0,v)|\Bigr)^\alpha\,\mathrm{d}S_{y}  \\
 &\quad + C_0k_2\int_{\partial{G_0}}\Bigl(|u-v|+|\widehat{w}(y;{G_0,}u)
 -\widehat{w}(y;G_0,v)|\Bigr)\,\mathrm{d}S_{y}  \\
 &\le K_1 |u-v|^\alpha + K_2 |u-v|
\end{aligned}\label{eq:equicontinuity of H}
\end{equation}
 In particular, if $u \in \mathcal C^{0,\alpha} (\mathbb R)$, then
$k_2 = 0$ and $K_2 = 0$.

 Assume now that $\sigma \in \mathcal C^1 (\mathbb R)$.
Let $u_1, u_2 \in \mathbb R$. We have that, for $y \in \partial G_0$
 \begin{align*}
&|\partial _{\nu_y} \widehat{w}(u_1;G_0,y) - \partial _{\nu _ y} \widehat w(u_2,y ) |\\
 &=C_0 |\sigma (u_1 - \widehat{w}(u_1;G_0,y)) - \sigma(u_2 - \widehat{w}(y;G_0,u_2)) | \\
 &\le C|\sigma' (\xi) | \Big(  |u_1 - u_2|+  |\widehat{w}(u_1;G_0,y) - \widehat{w}(y;G_0,u_2)|\Big) \\
 &\le C |\sigma'(\xi)| |u_1 - u_2|.
 \end{align*}
 for some $\xi$ between $u_1 - \widehat{w}(y;G_0,u_1)$ and $u_2 - \widehat{w}(y;G_0,u_2)$.
 Since $|\widehat w(u,y)|\le |u|$, for every $K \subset \mathbb R$ compact
there exists a constant $C_K$ such that
 \begin{equation*}
 |\partial _{\nu_y} \widehat{w}(y;G_0,u_1) - \partial _{\nu _ y} \widehat{w}(y;G_0,u_2)  |
 \le C_K |u_1 - u_2| \quad \forall u_1, u_2 \in K.
 \end{equation*}
 Therefore,
 \begin{equation*}
 |H_{G_0}  (u) - H_{G_0} (v)| \le \widetilde C_K  |u_1-u_2| \quad \forall u_1, u_2 \in K.
 \end{equation*}
Let $\sigma \in W^{1,\infty}(\mathbb R)$. By approximation by nondecreasing
functions $\sigma_n \in W^{1,\infty} \cap \mathcal C^1$, we obtain that
\begin{equation}
 |\partial _{\nu_y} \widehat{w}(y;G_0,u_1) - \partial _{\nu _ y} \widehat{w}(y;G_0,u_2) |
\le 2\| \sigma' \|_\infty |u_1 - u_2|.
\end{equation}
Therefore,
 \begin{equation}
 |H_{G_0}  (u) - H_{G_0} (v)| \le 2 \|\sigma'\|_{\infty} |\partial G_0||u_1 - u_2|
 \quad \forall u_1, u_2 \in \mathbb R.
 \end{equation}
 This completes the proof.
\end{proof}

\begin{lemma} \label{lem:convergence of H uniformly over compacts}
 Let $u \in \mathbb{R}$. Let $\sigma, \sigma_m$ be nondecreasing continuous
functions such that $\sigma(0) = \sigma_m (0) = 0$ satisfy \eqref{eq:2}
with the same constants $k_1, k_2$ and $\alpha$,
$|\sigma_m| \le |\sigma|$ and $\sigma_m \to \sigma$
in $\mathcal{C}([ -2U,2U])$ for some $U > 0$. Then
\begin{equation}
H_{G_0,m} \to H_{G_0} \quad \text{in }\mathcal{C}([-U,U]).
\end{equation}
\end{lemma}

\begin{proof}
 Let $u \in [0,U]$. By Lemma \ref{lem:convergence hat w} we know that
 \begin{equation*}
 u- \widehat w_m(y; G_0, u) \searrow u - \widehat w(y; G_0, u)
\text{ for a.e. } y \in \partial G_0.
 \end{equation*}
 In particular, due to the dominated convergence theorem,
$H_{G_0,m} (u) \to H_{G_0} (u)$. An equivalent argument applies to $u \in [-U,0]$. Hence
 \begin{equation*}
 H_{G_0,m} \to H_{G_0} \quad \text{pointwise in } [-U,U].
 \end{equation*}
Since all $\sigma_m$ satisfy \eqref{eq:2} with the same $k_1, k_2, \alpha$,
 we know that $H_m$ satisfies \eqref{eq:equicontinuity of H}  with the
same $K_1, K_2$ and $\alpha$. Hence, $H_{G_0,m}$ is an equicontinuous sequence.
 Applying the Ascoli-Arzela theorem we know that the sequence is relatively
compact in $\mathcal C ([-U,U])$ with the supremum norm.
It has, at least, a uniformly convergent subsequence. Since every convergent
 subsequence has to converge to $H_{G_0}$, we know that the the whole sequence
$H_{G_0,m}$ converges to $H_{G_0}$ uniformly in $[-U,U]$.
\end{proof}

\begin{remark} \rm
 When $\partial G_0$ is assumed $C^{2}$ it is possible to
 develop other type of techniques (which we shall not present in detail here)
 showing the existence and uniqueness of solution $\widehat{w}(y;{G_0,}u)$.
 Indeed, the existence of $\widehat{w}(y;{G_0,}u)$ can be built through
 passing to the limit after a truncation of the domain process (with the
 artificial boundary condition $\widehat{w}(y;{G_0,}u)=0$ on the new
 truncated boundary). The maximum principle for classical solutions (see,
 e.g. \cite{Ladyzhenskaya1968linear+quasilinear},  \cite[p.206]{friedman2008partial}
  or \cite{Alikakos:1981regularityparabolic}) allows
 to get universal a priori estimates which justify the weak convergence and
 thanks to the monotonicity of the nonlinear term in the interior boundary
 condition the passing to the limit can well-justified. In addition, it can
 be proved (see the indicated references) that the limit is also a classical
 solution on the whole exterior domain. Moreover, the same technique (i.e.
 the maximum principle for classical solutions) implies the comparison,
 uniqueness and continuous dependence of the solution $\widehat{w}(y;G_0,u)$.
\end{remark}

\section{Proof in the smooth case $\sigma \in \mathcal{C}^1 (\mathbb{R})$}

\subsection{Auxiliary function $w_\protect\varepsilon^j$}
To pass to the limit as ${\varepsilon}\to 0$ in \eqref{eq:8} we
need some auxiliary functions.

\begin{definition} \rm
Let $u \in \mathbb{R}$, $\varepsilon > 0$ and $j \in \Upsilon_\varepsilon$.
We define the function $w^j_{\varepsilon}(\cdot; G_0,u)$ as the solution of the
problem
\begin{equation}
\begin{gathered}
\Delta w^j_{\varepsilon}=0 \quad \text{if } x\in
T^j_{\varepsilon/4}\setminus\overline{G^j_\varepsilon},\\
\partial_{\nu_x}w^j_{\varepsilon}-\varepsilon^{-\gamma}\sigma(u-w^j_\varepsilon)=0 \quad
\text{if }  x\in \partial G^j_{\varepsilon},\\
w^j_{\varepsilon}=0 \quad \text{if } x\in \partial T^j_{\varepsilon/4},
 \end{gathered}  \label{eq:9}
\end{equation}
where
\begin{equation}
T^j_r =\{ x\in \mathbb{R}^n : | x-P^j_\varepsilon|\le r \},
\end{equation}
$P^j_\varepsilon$ is the center of $Y^j_{\varepsilon}$. Finally, we define
\begin{equation}
W_{\varepsilon}(x; G_0, u) =
\begin{cases}
w^j_{\varepsilon}(x; G_0, u) & \text{if } x\in T^j_{\varepsilon/4}\setminus
{\overline{G^{j}_{\varepsilon}}} , j\in\Upsilon_\varepsilon , \\
0 & \text{if } x\in \mathbb{R}^n\setminus
\cup_{j\in\Upsilon_\varepsilon}\overline{T^j_{\varepsilon/4}}.
\end{cases}
\label{eq:10}
\end{equation}
\end{definition}

Applying the comparison principle we obtain the following result.

\begin{lemma} \label{lem:comparison ws}
 Let $u \ge 0$. Then $0 \le w_\varepsilon^j
(\cdot; G_0, u) \le \widehat w_\varepsilon^j (\cdot ; G_0, u) $.
If $u \le 0$ then $\widehat w_\varepsilon^j(\cdot; G_0, u)
\le w_\varepsilon^j (\cdot; G_0, u) \le 0$.
\end{lemma}

\begin{remark}\label{rem:monotonicity}  \rm
Note that, if $u = 0$, then $w_\varepsilon^j (\cdot; G_0, 0) \equiv 0$.
\end{remark}

Let us prove some properties of $W_{\varepsilon}(x; G_0, u)$. First, we introduce
the following lemma.

\begin{lemma}[Uniform trace constant] \label{eq:trace constant}
There exists a constant $C_T > 0$ such that, for
all $\varepsilon > 0$
\begin{equation}
\varepsilon^{-\gamma } \int  _{ \partial G_ \varepsilon ^j } |f|^2 \,\mathrm{d}S
\le C_T \int _ {T_{\varepsilon/4}^j \setminus G_\varepsilon^j }
|\nabla f|^2 \,\mathrm{d}x \quad \forall f \in H^1 \big(T_{\varepsilon/4}^j \setminus
\overline {G_\varepsilon^j}, \partial T_{\frac \varepsilon 4} ^j \big)
\end{equation}
\end{lemma}

\begin{proof}
 First, we extend $f$ to $H_0^1(Y_\varepsilon^j)$ where $Y_\varepsilon^j = \varepsilon j + \varepsilon Y $.
 In \cite{Shaposhnikova+Oleinik:1996Lincei} we find that
 \begin{equation}
 \varepsilon^{-\gamma} \int_{\partial G_\varepsilon^j } |f|^2
\le C \Big(  \int_ {Y_\varepsilon^j} |f|^2 + \int _{Y_\varepsilon^j } |\nabla f|^2  \Big).
 \end{equation}
 Since $f = 0$ on $\partial Y_\varepsilon^j$, taking
$\tilde f(y) = f(P_\varepsilon^j + \varepsilon y)$, we have
 \begin{equation}
 \int _{Y} |\tilde f|^2 \,\mathrm{d}y  \le C \int_{Y} |\nabla \tilde f|^2 \,\mathrm{d}y.
 \end{equation}
 Since $\nabla_x f = \varepsilon \nabla_y \tilde f $ we have
 \begin{equation}
 \int_ {Y_\varepsilon^j} |f|^2 \le \varepsilon^2 \int _{Y_\varepsilon^j } |\nabla f|^2 .
 \end{equation}
 Hence, the result is proved.
\end{proof}

We have some precise estimates on the norm of $W_\varepsilon$:

\begin{lemma}\label{lem:1}
 For all $u \in \mathbb{R}$, we have
\begin{gather}
\|\nabla W_\varepsilon\|^2_{L^{2}(\Omega_\varepsilon)}
\le K( |u| + |u|^2), \label{eq:bound nabla W} \\
\| W_\varepsilon\|^2_{L^{2}(\Omega_\varepsilon)}
\le K( |u| + |u|^2) \varepsilon^2 .  \label{eq:11}
\end{gather}
\end{lemma}

\begin{proof}
 Let $u \in \mathbb R$ be fixed.  If we take $w^j_\varepsilon$ as a test function
in weak formulation of problem \eqref{eq:9} we obtain
 \begin{equation*}
 \int_{T^j_{\varepsilon/4}\setminus G^j_{\varepsilon}}| \nabla w^j_\varepsilon|^2\,\mathrm{d}x
-\varepsilon^{-\gamma}\int_{\partial G^j_{\varepsilon}}\sigma(u-w^j_\varepsilon) w^j_\varepsilon\,\mathrm{d}S=0.
 \end{equation*}
 We rewrite this as follows:
 \begin{equation*}
 \int_{T^j_{\varepsilon/4} \setminus G^j_{\varepsilon}}| \nabla w^j_\varepsilon|^2\,\mathrm{d}x
+\varepsilon^{-\gamma}\int_{\partial G^j_{\varepsilon}}\sigma(u-w^j_\varepsilon)(u- w^j_\varepsilon)\,\mathrm{d}S
=\varepsilon^{-\gamma}\int_{\partial G^j_{\varepsilon}}\sigma(u-w^j_\varepsilon)u\,\mathrm{d}S.
 \end{equation*}
 Since $\sigma$ is nondecreasing we have that
 \begin{align*}
 \|\nabla w^j_\varepsilon\|^2_{L^{2}(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}
 &\le \varepsilon^{-\gamma} | u|\int_{\partial G^j_{\varepsilon}}| \sigma( u-w^j_\varepsilon )|\,\mathrm{d}S.
 \end{align*}
 Because of \eqref{eq:2} and  that $|s| ^\alpha \le 1 + |s|$ for every $s \in \mathbb R$,
 we have
 \begin{align*}
 \varepsilon^ {-\gamma} \int_{\partial G^j_{\varepsilon}}| \sigma( u-w^j_\varepsilon )|\,\mathrm{d}S
 &\le k_1 \varepsilon^ {-\gamma}\int _{\partial G_\varepsilon^j } |u - w^j_\varepsilon |^\alpha\,\mathrm{d}S
 + k_2 \varepsilon^ {-\gamma}\int_{\partial G_\varepsilon^j } |u-w^j_\varepsilon|\,\mathrm{d}S \\
 & \le k_1 \varepsilon^ {-\gamma} |\partial G_\varepsilon^j | + (k_1
 + k_2)\varepsilon^ {-\gamma}\int _{\partial G_\varepsilon^j } |u - w^j_\varepsilon |\,\mathrm{d}S.
 \end{align*}
 Applying Lemma \ref{eq:trace constant} and that, for every $a,b,C \in \mathbb R$
it holds that $ab \le \frac {C^2} 2 a^2 + \frac{1}{2C^2} b^2$, we obtain
 \begin{align*}
 (k_1 + k_2) \varepsilon^{-\gamma} \int_{\partial G^j_{\varepsilon}}| u-w^j_\varepsilon|\,\mathrm{d}S
&  \le \varepsilon^{ -\gamma } C  |\partial G_\varepsilon ^j | + \frac{1}{2 C_T |u|}
  \varepsilon^{ -\gamma } \int_{ \partial G_\varepsilon^j } |u - w_\varepsilon^j | ^2\,\mathrm{d}S  \\
 & \le C |u| \varepsilon^{ -\gamma }  |\partial G^j_{\varepsilon}|+\frac{1}{2C_T| u|}
 \| u-w^j_\varepsilon\|^2_{L^{2}(\partial G^j_{\varepsilon})}\\
 & \le C  |u|\varepsilon ^n +\frac{1}{2| u|}\| \nabla (u-w^j_\varepsilon)
 \|^2_{L^{2}(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}\\
 & = C  |u| \varepsilon^n +\frac{1}{2| u|}\| \nabla w^j_\varepsilon\|^2_{L^{2}
 (T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}.
 \end{align*}
 Therefore,
 \begin{align*}
 \|\nabla w^j_\varepsilon\|^2_{L^{2}(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}
 &\le K ( |u|  + |u|^2) \varepsilon^n +\frac{1}{2}\| \nabla w^j_\varepsilon\|^2_{L^{2}
(\partial G^j_{\varepsilon})}.
 \end{align*}
 Thus, we have
 \begin{equation*}
 \|\nabla w^j_\varepsilon\|^2_{L^{2}(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}
\le K ( |u|  + |u|^2) \varepsilon^n.
 \end{equation*}
 Adding over $j\in \Upsilon_{\varepsilon}$, and taking into account that
 $\# \Upsilon_{\varepsilon} \le d \varepsilon^{-n}$, we deduce that \eqref{eq:bound nabla W} holds.
 Using Friedrich's inequality we obtain
 \begin{equation*}
 \| w^j_\varepsilon\|^2_{L^{2}(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}
\le \varepsilon^2 K\|\nabla w^j_\varepsilon\|^2_{L^{2}(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})},
 \end{equation*}
 so \eqref{eq:11} holds.
 This completes the proof.
\end{proof}

\subsection{Auxiliary function $v_\protect\varepsilon^j
= w_\varepsilon^j - \widehat w_\protect\varepsilon^j$}

Let us define:
\begin{equation}
v_\varepsilon^j = w_\varepsilon^j - \widehat w_\varepsilon^j.
\end{equation}
This functions is the solution of the  problem
\begin{equation}
\begin{gathered}
\Delta v^j_{\varepsilon}=0 \quad \text{if } x\in
T^j_{\varepsilon/4}\setminus\overline{ G^j_{\varepsilon}}, \\
\partial_{\nu}v^j_{\varepsilon}-\varepsilon^{-\gamma}(\sigma(u-w^j_\varepsilon)-
\sigma(u-\widehat{w}_\varepsilon^j))=0, \quad\text{if }  x\in \partial G^j_{\varepsilon},\\
v^j_{\varepsilon}=-\widehat{w}_\varepsilon^j (x; G_0, u), \quad \text{if }  x\in \partial
T^j_{\varepsilon/4} .
\end{gathered}  \label{eq:16}
\end{equation}

\begin{lemma} \label{lem:2}
 The following estimates hold
\begin{gather}
\sum_{j\in\Upsilon_\varepsilon}\|\nabla(w^j_\varepsilon(x; G_0, u)-
\widehat{w}_\varepsilon^j (x; G_0, u))\|^2_{L^{2}(T^j_{\frac{\varepsilon}{4}
}\setminus G^j_\varepsilon)} \le K(|u| + |u|^2)\varepsilon^2, \\
\sum_{j\in\Upsilon_{\varepsilon}}\| w^j_\varepsilon(x; G_0, u)- \widehat{w}
_\varepsilon^j (x; G_0, u) \|^2_{L^{2}(T^j_{\varepsilon/4}\setminus
G^j_{\varepsilon})}\le K(|u| + |u|^2)\varepsilon^4.
\end{gather}
\end{lemma}

\begin{proof}
 From Lemma \ref{lem:comparison ws} it is clear that
 \begin{equation}
 |v^j_{\varepsilon}(x; G_0, u)|\le |\widehat{w}_\varepsilon^j(x; G_0, u)| \quad
\forall x \in \overline {T_{\varepsilon/4}^j }\setminus G_\varepsilon^j.
 \end{equation}
 Integrating by parts $v^j_{\varepsilon}( \Delta v_\varepsilon^j)$ and using
\eqref{eq:16} we deduce that
 \begin{align*}
&\int_{T^j_{\varepsilon/4}\setminus G^j_{\varepsilon}}|\nabla v^j_{\varepsilon}|^2\,\mathrm{d}x
 -\varepsilon^{-\gamma}\int_{\partial G^j_\varepsilon}(\sigma(u-w^j_\varepsilon)
 -\sigma(u-\widehat{w})) v^j_{\varepsilon}\,\mathrm{d}S\\
&=-\int_{\partial T^j_{\varepsilon/4}}(\partial_{\nu}v^j_{\varepsilon})
\widehat{w}_\varepsilon^j(x; G_0, u)\,\mathrm{d}S
 \end{align*}
 By the monotonicity of $\sigma$ and applying Green's first identity, we have
 \begin{align*}
 \|\nabla v^j_{\varepsilon}\|^2_{L_2(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}
&\le -\int_{\partial T^j_{\varepsilon/4}}(\partial_{\nu}v^j_{\varepsilon})
 \widehat{w}_\varepsilon^j(x; G_0, u)\,\mathrm{d}S\\
&= -\int_{T^j_{\varepsilon/4}\setminus T^j_{\varepsilon/8}}\nabla v^j_{\varepsilon}
 \nabla\widehat{w}_\varepsilon^j\,\mathrm{d}x+\int_{\partial T^j_{\varepsilon/8}}
 (\partial_{\nu}v^j_{\varepsilon})\widehat{w}_\varepsilon^j\,\mathrm{d}S.
\end{align*}
 Applying Lemmas \ref{lem:bounds hat w eps} and
\ref{lem:bounds gradient hat w eps}  we have
 \begin{gather*}
 | v^j_{\varepsilon}(x; G_0, u)| \le |\widehat{w}_\varepsilon^j (x; G_0, u) |\le K|u|\varepsilon^2.
 \\
 |\nabla \widehat w _\varepsilon^j (x; G_0, u) | \le K|u| \varepsilon
 \end{gather*}
 for all $x \in T_{\varepsilon/8}^j $, where
$K$ does not depend on $\varepsilon$. Since $v_\varepsilon^j$ is harmonic,
denoting $T^x_r = \{  z \in \mathbb R^n : |x-z|<r  \}$ we have
\[
 |\frac{\partial{v^j_{\varepsilon}}}{\partial x_i}(x)|
=\frac{1}{| T^{x}_{\varepsilon/16}|}
\Big|\int_{T^{x}_{\varepsilon/16}}\frac{\partial{v^j_{\varepsilon}}}{\partial
 x_i}\,\mathrm{d}x \Big|
 =\frac{K}{\varepsilon^n}\Big|
 \int_{\partial T^{x}_{\varepsilon/16}}v^j_{\varepsilon}\nu_i\,\mathrm{d}S \Big|
\le  K|u|\varepsilon.
\]
 for all $x \in T_{\varepsilon/4}^j \setminus T_{\frac \varepsilon 8}^j  $,
since $T^x_{\varepsilon/16} \subset T_{\varepsilon/4}^j \setminus T_{\varepsilon/16}^j $.
 Hence, we have
 \begin{gather*}
 \Big| \int_{T^j_{\varepsilon/4}\setminus T^j_{\varepsilon/8}}\nabla v^j_{\varepsilon}
\nabla\widehat{w}_\varepsilon^j\,\mathrm{d}x \Big| 
 \le K(|u| + |u|^2) \varepsilon ^{n+2},\\
 \Big| \int_{\partial T^j_{\frac{\varepsilon}{8}}}
(\partial_{\nu}v^j_{\varepsilon})\widehat{w}^j_\varepsilon\,\mathrm{d}S \Big|
\le K(|u| + |u|^2)\varepsilon^{n+2}.
 \end{gather*}
 From this we deduce that
 \begin{equation*}
 \|\nabla v^j_{\varepsilon}\|^2_{L_2(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}
 \le K(|u| + |u|^2)\varepsilon^{n+2}.
 \end{equation*}
From Friedrich's inequality,
 \begin{equation*}
 \| v^j_{\varepsilon}\|^2_{L_2(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})}
\le K(|u| + |u|^2)\varepsilon^{n+4}.
 \end{equation*}
 Then, adding over $j\in \Upsilon_{\varepsilon}$ we obtain
 \begin{gather*}
 \sum_{j\in\Upsilon_{\varepsilon}}\|\nabla v^j_{\varepsilon}\|^2
_{L_2(T^j_{\varepsilon/4}\setminus G^j_{\varepsilon})} \le K(|u| + |u|^2)\varepsilon^2,\\
 \sum_{j\in\Upsilon_{\varepsilon}}\| v^j_{\varepsilon}\|^2_{L_2(T^j_{\varepsilon/4}
\setminus G^j_{\varepsilon})} \le K(|u| + |u|^2)\varepsilon^4.
 \end{gather*}
 This estimates completes the proof.
\end{proof}

\subsection{Convergence of integrals over
$\cup_{j\in \Upsilon_{\varepsilon}} \partial T_{\varepsilon/4}^j$}

\begin{lemma}\label{lem:approximation of hat w}
Let $H_{G_0}  (u)$ be defined by formula \eqref{eq:15},
$\phi\in C^{\infty}_0(\Omega)$ and $h_{\varepsilon}, h\in
H^{1}_0(\Omega)$ be such that $h_{\varepsilon}\rightharpoonup h$ in $
H^{1}_0(\Omega)$ as ${\varepsilon}\to 0$. Then, we have that
\begin{equation}
- \lim_{\varepsilon \to 0 }
\sum_{j\in\Upsilon_{\varepsilon}}\int_{\partial{T^{j}_{\frac{
\varepsilon}{4}}}} \Big(\partial_{\nu}\widehat{w}_\varepsilon^j
(x;G_0, \phi(P^j_\varepsilon))\Big)  h_{\varepsilon}(x) \,\mathrm{d}S
= C^{n-2}_0\int_{\Omega}H_{G_0} (\phi(x))\, h(x)\, \mathrm{d}x
\end{equation}
where $\nu $ is an unit outward normal vector to
$T^{j}_{\varepsilon/4}$.
\end{lemma}

\begin{proof} Let us consider the auxiliary problem
\begin{equation}
\begin{gathered}
\Delta{\theta^{j}_{\varepsilon}}=\mu^{j}_{\varepsilon} \quad
x\in Y^{j}_{\varepsilon}\setminus\overline{T}^{j}_{{\varepsilon}/4}, \;  j\in \Upsilon_{\varepsilon},\\
-\partial_{\nu}\theta^{j}_{\varepsilon}=\partial_{\nu}\widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j)) \quad
 x\in \partial{T^{j}_{\varepsilon}},\\
-\partial_{\nu}\theta^{j}_{\varepsilon}=0 \quad x\in \partial{Y^{j}_{\varepsilon}},\\
\langle \theta^{j}_{\varepsilon}\rangle _{Y^{j}_{\varepsilon}\setminus \overline{T}^{j}_{{\varepsilon}/4}}=0,
\end{gathered} \label{eq:20}
\end{equation}
where ${\nu}$ is a unit inwards normal vector of the boundary of
$Y^{j}_{\varepsilon}\setminus T^{j}_{{\varepsilon}/4}$. We choose, against the convention,
the inward normal vector so that it coincides with the unit outward normal
vector of $T^{j}_{{\varepsilon}/4} \setminus G_\varepsilon^j$ in their shared boundary.
We changed the sign accordingly. The constant $\mu_\varepsilon^j$
is given by the compatibility condition of the problem \eqref{eq:20}:
\begin{align*}
\mu_\varepsilon^j
\varepsilon^{n}\big|Y \setminus T_{1/4}^0 \big|
&=\int_{\partial T^j_{\varepsilon/4}}\partial_{\nu}
\widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j))\,\mathrm{d}S\\
&=-\int_{\partial  G^{j}_\varepsilon}\partial_{\nu}
\widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j)) \,\mathrm{d}S\\
&=-a^{n-2}_\varepsilon\int_{\partial G_0}\partial_{\nu_y}
\widehat{w}(\phi(P^j_\varepsilon),y) \,\mathrm{d}S_{y},
\end{align*}
Therefore,
\[
\mu^{j}_\varepsilon
=\frac{-a^{n-2}_\varepsilon H_{G_0} (\phi(P^j_\varepsilon))}
{|Y \setminus T_{1/4}^0 |\varepsilon^{n}}
=\frac{-C^{n-2}_0 H_{G_0} (\phi(P^j_\varepsilon))}{|Y \setminus T_{1/4}^0 |},
\]
From the integral identity for the problem \eqref{eq:20} we
obtain
\begin{equation}
-\int_{Y^{j}_{\varepsilon}\setminus{T^{j}_{\varepsilon}}}|\nabla\theta^{j}_\varepsilon|^2\,\mathrm{d}x=
\mu^{j}_\varepsilon\int_{Y^{j}_{\varepsilon}\setminus{T^{j}_{{\varepsilon}/4}}}\theta^{j}_\varepsilon
d{x}-\int_{\partial T^j_{\varepsilon/4}} \Big (\partial_{\nu}
\widehat{w }_\varepsilon^j(x; G_0, \phi(P_\varepsilon^j)) \Big ) \, \theta^{j}_\varepsilon\,\mathrm{d}S.
\end{equation}
Applying Lemma \ref{lem:bounds gradient hat w eps}
and using the estimates from \cite{Shaposhnikova+Oleinik:1996Lincei}, we deduce
\begin{align*}
&\int_{\partial T^j_{\varepsilon/4}} \big |\big (\partial_{\nu_x}
\widehat{w}_\varepsilon^j  (x; G_0, \phi(P_\varepsilon^j)) \big)  \theta^{j}_\varepsilon \big |
\,\mathrm{d}S \\
&\le K| \phi (P_\varepsilon^j) |\varepsilon\int_{\partial T^j_{\varepsilon/4}}|\theta_\varepsilon| \,\mathrm{d}S\\
&\le K| \phi (P_\varepsilon^j) | \varepsilon^{\frac{n-1}{2}+1}\|\theta^{j}_\varepsilon
 \|_{L_2(\partial T^j_{\varepsilon/4})} \\
&\le K| \phi (P_\varepsilon^j) |\varepsilon^{\frac{n+1}{2}}
\big\{\varepsilon^{-\frac{1}{2}}\|\theta^{j}_\varepsilon\|_{L_2(Y^{j}_{\varepsilon}
\setminus\overline{T}^{j}_{{\varepsilon}/4})}+\sqrt{\varepsilon}
\|\nabla\theta^{j}_\varepsilon\|_{L_2(Y^{j}_{\varepsilon}\setminus
\overline{T}^{j}_{{\varepsilon}/4})} \big\}\\
&\le K| \phi (P_\varepsilon^j) | \varepsilon^{\frac{n+2}{2}}\|\nabla\theta^{j}_\varepsilon
\|_{L_2(Y_{\varepsilon}\setminus\overline{T}^{j}_{{\varepsilon}/4})}.
\end{align*}
In particular, since $|\phi(P_\varepsilon^j)| \le \| \phi  \|_\infty$  we can make
a uniform bound, independent of $j$ and $\varepsilon$.
Thus, we have
\begin{equation}
\|\nabla\theta^{j}_\varepsilon\|^2_{L_2(Y^{j}_{\varepsilon}\setminus\overline{T}^{j}_{\varepsilon})}
\le K\varepsilon^{n+2}.
\end{equation}
Adding over $j\in \Upsilon_ \varepsilon$ we have
\begin{equation}
\sum_{j\in \Upsilon_{\varepsilon}}\int_{Y^{j}_{\varepsilon}
\setminus\overline{T}^{j}_{\varepsilon/4}}|\nabla\theta^j_\varepsilon
|^2\,\mathrm{d}x\le K\varepsilon^2.
\end{equation}
Hence, by the definition of $\theta^j_\varepsilon$, we obtain
\begin{align*}
&\Big|\sum_{j\in\Upsilon_{\varepsilon}}\int_{\partial T^j_{\varepsilon/4}}
  \Big (\partial_{\nu} \widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j)) \Big)    h_{\varepsilon}\,\mathrm{d}S
 -  \sum_{j\in\Upsilon_{\varepsilon}}\int_{{Y}^j_{\varepsilon}\setminus
 \overline{T^{j}_{{\varepsilon}/4}}}\mu^{j}_\varepsilon h_{\varepsilon} \,\mathrm{d}x \Big|\\
&=\Big|\sum_{j\in\Upsilon_{\varepsilon}}\int_{Y^j_{\varepsilon}\setminus
 \overline{T^{j}_{{\varepsilon}/4}}}\nabla\theta^j_\varepsilon
\nabla h_{\varepsilon} \,\mathrm{d}x \Big|
\le K\varepsilon\|h_{\varepsilon}\|_{H_1(\Omega, \partial \Omega )}.
\end{align*}
Therefore,
\begin{equation*}
\lim_{\varepsilon\to 0} \sum_{j\in\Upsilon_{\varepsilon}}\int_{\partial T^j_{\varepsilon/4}}
\Big (\partial_{\nu} \widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j)) \Big)  \,   h_{\varepsilon}\,\mathrm{d}S = \lim_{\varepsilon\to 0}\sum_{j\in \Upsilon_{\varepsilon}}\int_{{Y}^j_{\varepsilon}\setminus\overline{T^{j}_{{\varepsilon}/4}}}\mu^{j}_\varepsilon h_{\varepsilon} \,\mathrm{d}x .
\end{equation*}
 From the definition of $\mu^{j}_\varepsilon$ we deduce
\begin{align*}
&\sum_{j\in \Upsilon_{\varepsilon}}\int_{{Y}^j_{\varepsilon}\setminus\overline{T^{j}_{{\varepsilon}/4}}}
 \mu^{j}_\varepsilon h_{\varepsilon} \,\mathrm{d}x
 +\frac{C^{n-2}_0}{| Y\setminus T^0_{1/4}|}
 \sum_{j\in \Upsilon_{\varepsilon}}\int_{{Y}^j_{\varepsilon}\setminus\overline{T^{j}_{{\varepsilon}/4}}}
 H_{G_0} (\phi(x)) \, h_{\varepsilon}\,\mathrm{d}x
\\
&=- \frac{C^{n-2}_0}{| Y\setminus T^0_{1/4}|}\sum_{j\in\Upsilon_\varepsilon}
\int_{{Y}^j_{\varepsilon}\setminus\overline{T^{j}_{{\varepsilon}/4}}}\Big(H_{G_0} (\phi(P^j_\varepsilon))
-H_{G_0} (\phi(x))\Big ) h_{\varepsilon}\,\mathrm{d}x  .
\end{align*}
Using \eqref{eq:14}  we obtain
\begin{align*}
&\Big|\sum_{j\in\Upsilon_\varepsilon}
\int_{{Y}^j_{\varepsilon}\setminus\overline{T^{j}_{\varepsilon/4}}}(H_{G_0} (\phi(P^j_\varepsilon))
-H_{G_0} (\phi(x))) h_{\varepsilon}\,\mathrm{d}x\Big|
\\
&\le K\|h_{\varepsilon}\|_{L_2(\Omega)}\max_{j} \Big| \int_{\partial G_0}\partial_{\nu_y}
\widehat{w}(y; G_0, \phi(P_\varepsilon^j))-\partial_{\nu_y}\widehat{w}(y; G_0, \phi(x))
\,\mathrm{d}S_{y}\Big|
\\
&=K\|h_{\varepsilon}\|_{L_2(\Omega)}\max_{j} \Big|\  \int_{\partial G_0}\sigma
\Big (\phi(P_\varepsilon^j)-\widehat{w}(y; G_0, \phi(x)) \Big ) \\
&\quad -\sigma \Big(\phi(P^j_\varepsilon)-\widehat{w}(y; G_0, \phi(P_\varepsilon^j)) \Big) \,\mathrm{d}S_{y} \Big|
\\
&\le K\max_{j} \Big(  \Big | \widehat{w}(y; G_0, \phi(P_\varepsilon^j))
 -\widehat{w}(y; G_0, \phi(x)) \Big|  \\
&\quad + \Big | \widehat{w}(y; G_0, \phi(P_\varepsilon^j))
 -\widehat{w}(y; G_0, \phi(x)) \Big|^\alpha \Big)  \\
&\le K\max_{j} \Big( | \phi(P^j_\varepsilon)-\phi(x)| + | \phi(P^j_\varepsilon)
 -\phi(x)| ^\alpha \Big) \\
&\le K(a_\varepsilon + a_\varepsilon^\alpha)
\to 0 \quad \text{ as } \varepsilon \to 0.
\end{align*}
Hence
\begin{equation*}
 \lim_{\varepsilon \to 0 } \sum_{j\in \Upsilon_{\varepsilon}}\int_{{Y}^j_{\varepsilon}
\setminus\overline{T^{j}_{{\varepsilon}/4}}}\mu^{j}_\varepsilon h_{\varepsilon}
 \,\mathrm{d}x
 = - \lim_{\varepsilon \to 0 }\frac{C^{n-2}_0}{| Y\setminus T^0_{1/4}|}
\sum_{j\in \Upsilon_{\varepsilon}}\int_{{Y}^j_{\varepsilon}\setminus\overline{T^{j}_{{\varepsilon}/4}}}
H_{G_0} (\phi(x))  h_{\varepsilon}\,\mathrm{d}x.
\end{equation*}
From \cite[Corollary 1.7]{oleinik+shamaev+yosifian1992homogenization+elasticity}
 we derive
\begin{equation*}
\lim_{\varepsilon \to 0 } \frac{C^{n-2}_0}{| Y\setminus T^0_{1/4}|}
\sum_{j\in \Upsilon_{\varepsilon}}\int_{{Y}^j_{\varepsilon}
\setminus\overline{T^{j}_{{\varepsilon}/4}}}H_{G_0} (\phi(x))h_{\varepsilon}\,\mathrm{d}x
= C^{n-2}_0\int_{\Omega}H_{G_0} (\phi(x))h\,\mathrm{d}x.
\end{equation*}
This completes the proof.
\end{proof}

\begin{lemma} \label{lem:5}
Let $H_{G_0}  (u)$ be defined by formula \eqref{eq:15},
$\phi\in C^{\infty}_0(\Omega)$ and $h_{\varepsilon}, h\in H^{1}_0(\Omega)$
be such that $h_{\varepsilon}\rightharpoonup h$ in $H^{1}_0(\Omega)$ as
${\varepsilon}\to 0$. Then, we have
\begin{equation}
-\lim_{\varepsilon\to 0}\sum_{j\in\Upsilon}\int_{\partial T^j_{\frac{\varepsilon}{4}
}} \left( \partial_\nu w^j_\varepsilon(
x;G_0, \phi(P^j_\varepsilon)) \right)
h_\varepsilon \, \mathrm{d}S
=C^{n-2}_0\int_{\Omega}H_{G_0} (\phi(x))  h\, \mathrm{d}x.
\end{equation}
\end{lemma}

\begin{proof}
 Using Lemma \ref{lem:2} and applying Green's identity we obtain
 \begin{align*}
&\sum_{j\in\Upsilon_\varepsilon}\int_{\partial T^j_{\varepsilon/4}}
\Big (\partial_\nu \widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j))
-\partial_\nu w^j_\varepsilon (x; G_0, \phi(P_\varepsilon^j)) \Big) h_\varepsilon \,\mathrm{d}S \\
& =-\sum_{j\in\Upsilon_\varepsilon}\int_{\partial T^j_{\varepsilon/4}}\partial_\nu v^j_\varepsilon h_\varepsilon \,\mathrm{d}S \\
&=-\sum_{j\in\Upsilon_\varepsilon}\int_{T^j_{\varepsilon/4}\setminus G^j_\varepsilon}\nabla
  v^j_\varepsilon \nabla h_\varepsilon\,\mathrm{d}x+\int_{\partial G^j_\varepsilon}\partial_\nu  v^j_\varepsilon  h_\varepsilon\,\mathrm{d}S
 \\
&=-\sum_{j\in\Upsilon_\varepsilon}\int_{T^j_{\varepsilon/4}\setminus G^j_\varepsilon}
 \nabla  v^j_\varepsilon \nabla h_\varepsilon\,\mathrm{d}x \\
&\quad +\varepsilon^{-\gamma}\sum_{j\in\Upsilon_\varepsilon}\int_{\partial G^j_\varepsilon}
\left(\sigma(\phi(P^j_\varepsilon)-w^j_\varepsilon)-\sigma(\phi(P^j_\varepsilon)
-\widehat{w})\right) h_\varepsilon\,\mathrm{d}S.
 \end{align*}
From Cauchy's inequality and the properties of $v^j_\varepsilon$ we have
 \begin{align*}
 \Big|\sum_{j\in \Upsilon_{\varepsilon}}
 \int_{T^j_{\varepsilon/4}\setminus\overline{ G^j_\varepsilon}}\nabla  v^j_\varepsilon
\nabla h_\varepsilon\,\mathrm{d}x\Big|
&\le \varepsilon^{-1}\sum_{j \in \Upsilon_{\varepsilon}}\|\nabla{v^{j}_{\varepsilon}}
 \|^{2}_{L^{2}(T^{j}_{\frac {\varepsilon}4})}+\varepsilon\|{\nabla h_\varepsilon}\|^{2}_{L^{2}
 (\Omega_{\varepsilon})}\\
&\le K  {\varepsilon}.
 \end{align*}
Using the estimates from Lemma \ref{lem:2} we deduce
 \begin{align*}
&\varepsilon^{-\gamma}\sum_{j\in\Upsilon_\varepsilon}\Bigl|\int_{\partial G^j_\varepsilon}
 \left(\sigma(\phi(P^j_\varepsilon)-w^j_\varepsilon)-\sigma(\phi(P^j_\varepsilon)
-\widehat{w}_\varepsilon^j)\right) h_\varepsilon \,\mathrm{d}S\Bigr| \\
&\le \varepsilon^{-\gamma}\sum_{j\in\Upsilon_\varepsilon}\int_{\partial G^j_\varepsilon}
 \| \sigma ' \|_{L^\infty ([- 2 \| \phi \|_\infty ,
 2 \| \phi \|_\infty ])}|v_\varepsilon^j | |h_\varepsilon|\,\mathrm{d}S\\
&\le K \varepsilon^{-\gamma}\sum_{j\in\Upsilon_\varepsilon}\int_{\partial G^j_\varepsilon}
 |v_\varepsilon^j | |h_\varepsilon|\,\mathrm{d}S\\
&\le K\varepsilon \varepsilon^{-\gamma/2}  \|h_\varepsilon\|_{L_2(S_\varepsilon)} \\
&\le  K\varepsilon \| \nabla h_\varepsilon \|_{L^2(\Omega)},
 \end{align*}
where $K$ depends on $\| \phi \|_\infty$. Therefore,
 \begin{equation}
 \Big|\sum_{j\in\Upsilon_\varepsilon}\int_{\partial T^j_{\varepsilon/4}}
\left (\partial_\nu \widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j))
-\partial_\nu w^j_\varepsilon (x; G_0, \phi(P_\varepsilon^j))\right )h_\varepsilon \,\mathrm{d}S\Big|
\le  K\varepsilon.  \label{eq:25}
 \end{equation}
From this inequality and Lemma \ref{lem:approximation of hat w} we deduce that
 \begin{align*}
&-\lim_{\varepsilon\to 0}\sum_{j\in\Upsilon}\int_{\partial T^j_{\varepsilon/4}}
\Big( \partial_\nu w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))  \Big) h_\varepsilon \,\mathrm{d}S\\
&=-\lim_{\varepsilon\to 0}\sum_{j\in\Upsilon_\varepsilon}\int_{\partial T^j_{\varepsilon/4}}
\Big( \partial_\nu \widehat{w}_\varepsilon^j (x; G_0, \phi(P_\varepsilon^j)) \Big)\, h_\varepsilon  \,\mathrm{d}S \\
&=C^{n-2}_0\int_{\Omega}H_{G_0} (\phi(x))\, h\,\mathrm{d}x.
 \end{align*}
 This completes the proof.
\end{proof}

\subsection{Proof of Theorem \ref{thm:nonlinear case} for
$\sigma \in \mathcal{C}^1 (\mathbb{R})$}

Let $\phi\in C^\infty_0(\Omega)$. We define
\begin{equation}
\widetilde{W}_\varepsilon (x; \phi)
= \begin{cases}
 W_\varepsilon(x; G_0, \phi(P_\varepsilon^j))
 & Y^j_{\varepsilon}\setminus \overline{G^{j}_{\varepsilon}}, j \in \Upsilon_\varepsilon \\
0 & \Omega\setminus \cup_{j\in \Upsilon_{\varepsilon}}\overline{Y}^{j}_{\varepsilon},
j\in \Upsilon_{\varepsilon}.
\end{cases}
\end{equation}
We have that $\widetilde{W}_{\varepsilon}( \cdot ;\phi)\in H^{1}_0(\Omega)$
and $\widetilde{W}_\varepsilon (\cdot ;\phi)\rightharpoonup 0$ in
$H^1(\Omega)$ as $\varepsilon\to 0$. Using
$\varphi=\phi -\widetilde{W}_\varepsilon(x;\phi)$ as a test function
in inequality \eqref{eq:8} we obtain
\begin{equation}
\begin{aligned}
&\int _ { \Omega_ \varepsilon } \nabla(\phi-\widetilde{W}_{\varepsilon}( x ;\phi))\nabla
(\phi-\widetilde{W}_{\varepsilon}( x ;\phi))-u_{\varepsilon})\, \mathrm{d}x
 \\
&+\varepsilon^{-\gamma}\sum_{j\in\Upsilon_{\varepsilon}}\int_{
\partial
G^j_{\varepsilon}}\sigma(\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j)))(
\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))-u_\varepsilon)\,\mathrm{d}S   \\
&\ge\int _ { \Omega_ \varepsilon }f(\phi-\widetilde{W}_{\varepsilon}( x ;\phi)-u_\varepsilon)\, \mathrm{d}x.
\end{aligned} \label{eq:21}
\end{equation}
Taking into account that $w^{j}_{\varepsilon}(x; G_0, u)$ is a solution of the
problem \eqref{eq:9}, we can rewrite this in the  form
\begin{align}
&\int _ { \Omega_ \varepsilon }\nabla\phi\nabla
(\phi-\widetilde{W}_{\varepsilon}( x ;\phi)-u_{\varepsilon})\, \mathrm{d}x
 \nonumber \\
&-\sum_{j\in\Upsilon_{\varepsilon}}\int_{\partial T^j_{
\frac{\varepsilon}{4}}}\partial_\nu w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))
(\phi-u_{\varepsilon})\, \mathrm{d}S  \nonumber \\
&-\varepsilon^{-\gamma}\sum_{j\in\Upsilon_{\varepsilon}}\int
_{\partial G^j_\varepsilon}\sigma(\phi(P^j_\varepsilon)-
w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j)))
(\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))-u_{\varepsilon})\, \mathrm{d}S
\label{horrible term 1} \\
&+\varepsilon^{-\gamma}\sum_{j\in\Upsilon_{\varepsilon}}\int
_{\partial
G^j_{\varepsilon}}\sigma(\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j)))(
\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))-u_\varepsilon) \, \mathrm{d}S
\label{horrible term 2} \\
&\ge\int _ { \Omega_ \varepsilon }f(\phi-\widetilde{W}_{\varepsilon}( x ;\phi)-u_\varepsilon)\, \mathrm{d}x. \nonumber
\end{align}
We choose the boundary condition for $w_\varepsilon^j$ so that
\eqref{horrible term 1} cancels \eqref{horrible term 2} out in the limit. We
observe that
\begin{align*}
\rho_\varepsilon
&= \Big| \varepsilon^{-\gamma}\sum_{j\in\Upsilon_{
\varepsilon}}\int_{\partial G^j_{\varepsilon}}\Big (
\sigma(\phi(P_\varepsilon^j)-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))) -
\sigma(\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))) \Big ) \\
&\quad \times \Big (\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))-u_
\varepsilon \Big) \, \mathrm{d}S \Big| \\
&\le \varepsilon ^{-\gamma} \sum  _{j \in \Upsilon_{\varepsilon}}
\int_{ \partial G_\varepsilon^j} \|\sigma'\|_{L^\infty ([-U,U])}
\|\nabla \phi\|_{L^\infty
(\Omega)}a_\varepsilon|\phi-w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))-u_
\varepsilon|\, \mathrm{d}S \\
& \le K a_\varepsilon \to 0,
\end{align*}
where $U = 2\|\phi\|_\infty$ and $K$ depends of $\|\phi\|_{\infty}$. Taking
this into account we have
\begin{equation}
\begin{aligned}
&\int _ { \Omega_ \varepsilon }\nabla\phi\nabla
(\phi-\widetilde{W}_{\varepsilon}( x ;\phi)-u_{\varepsilon})\, \mathrm{d}x
 \\
&\qquad -\sum_{j\in\Upsilon_{\varepsilon}}\int_{\partial T^j_{
\frac{\varepsilon}{4}}}\partial_\nu w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))
(\phi-u_{\varepsilon})\, \mathrm{d}S   \\
&\ge \int _ { \Omega_ \varepsilon }f(\phi-\widetilde{W}_{\varepsilon}( x ;\phi)-u_\varepsilon)\, \mathrm{d}x - \rho_\varepsilon.
\end{aligned} \label{eq:22}
\end{equation}
From Lemma \ref{lem:1} we have
\begin{gather}
\lim_{\varepsilon\to 0}\int _ { \Omega_ \varepsilon }\nabla\phi\nabla
(\phi-\widetilde{W}_{\varepsilon}( x ;\phi)-u_{\varepsilon})\, \mathrm{d}
x=\int_{\Omega}\nabla\phi\nabla (\phi-u_0)\, \mathrm{d}x,
\label{eq:23} \\
\lim_{\varepsilon\to 0}\int _ { \Omega_ \varepsilon }
f(\phi-\widetilde{W}_{\varepsilon}( x ;\phi)-u_\varepsilon)\, \mathrm{d}x
=\int_{\Omega}f(\phi-u_0)\, \mathrm{d}x.  \label{eq:24}
\end{gather}
Applying Lemma \ref{lem:5} for $h_\varepsilon = \phi - u_\varepsilon$ we
have
\[
-\lim_{\varepsilon \to 0
}\sum_{j\in\Upsilon_{\varepsilon}}\int_{\partial T^j_{\frac{
\varepsilon}{4}}}\Big( \partial_\nu w^j_\varepsilon(x; G_0, \phi(P_\varepsilon^j))
\Big) (\phi-u_{\varepsilon})\, \mathrm{d}S
= C^{n-2}_0\int_{\Omega}H_{G_0} (\phi(x))(\phi-u_0)d{x}.
\]
Therefore  $u_0$ satisfies the inequality
\begin{equation*}
\int_{\Omega}\nabla\phi\nabla(\phi-u_0) \, \mathrm{d}x
+C^{n-2}_0\int_{\Omega} H_{G_0} (\phi(x))(\phi-u_0) \, \mathrm{d}x \ge
\int_{\Omega}f(\phi-u_0)\, \mathrm{d}x.
\end{equation*}
for any $\phi\in H^1_0(\Omega)$. Therefore, $u\in H^1_0(\Omega)$ satisfies
the identity
\begin{equation*}
\int_{\Omega}\nabla u_0 \nabla\phi\, \mathrm{d}x
+C^{n-2}_0\int_{\Omega}H_{G_0} (u_0)\phi\, \mathrm{d}x=
\int_{\Omega}f\phi\, \mathrm{d}x,  \label{eq:26}
\end{equation*}
where $\phi\in H^1_0(\Omega)$. Thus, $u$ is a weak solution of \eqref{eq:27}.
This completes the proof of the Theorem \ref{thm:nonlinear case} when $
\sigma$ is $\mathcal{C}^1 (\mathbb{R})$. \hfill \qed

\section{Proof in the H\"older-continuous case}

Let $\sigma \in \mathcal{C}(\Omega) $ be satisfying \eqref{eq:2}.  Applying
\cite[Lemma 2]{diaz+gomez-castro+podolskii+shaposhnikova2017jmaa} we deduce
there a sequence of nondecreasing functions
$\sigma_\delta \in C^1 (\mathbb{R})$ such that $\sigma_\delta (0) = 0$,
 $|\sigma_\delta| \le  |\sigma|$ and $\sigma_\delta \to \sigma$ in
$\mathcal{C}(\mathbb{R})$. Therefore $\sigma_\delta$ satisfies \eqref{eq:2}.
Applying the result in the previous section, we have that
\begin{equation}
P_\varepsilon u _{\varepsilon, \delta} \rightharpoonup u _\delta \quad
\text{in } H^1 (\Omega).
\end{equation}
where $u_\delta$ is the solution of \eqref{eq:27} with $H_\delta$ instead of
$H_{G_0}$.

By the approximation lemmas in
\cite{diaz+gomez-castro+podolskii+shaposhnikova2017jmaa} we have
\begin{equation}
\| \nabla (u_\varepsilon - u_{\varepsilon, \delta}) \| _{L^2
(\Omega_{\varepsilon})}\le C \| \sigma_\delta - \sigma \|_{\infty}
\end{equation}
Therefore,
\begin{equation}
\| \nabla (u - u_{\delta}) \| _{L^2 (\Omega)}\le C \| \sigma_\delta - \sigma
\|_{\infty}
\end{equation}
Since, by Lemma \ref{lem:convergence of H uniformly over compacts},
$H_{\delta, G_0 }$ converges uniformly over compacts to $HG$, applying standard
methods (see Lemma \ref{lem:convergence over compacts of kinetics}) we deduce that
$u_\delta \to \widehat u_0$, where $\widehat u_0$ is the solution of \eqref{eq:27}.
Notice that, due to Lemma \ref{lem:regularity of H}, we have that, if
 $u_0 \in L^2 (\Omega)$ then $H_{G_0} (u_0) \in L^2 (\Omega)$.

By uniqueness of the limit $u_0 = \widehat u$ and it is the solution
of \eqref{eq:27}. This completes the proof of Theorem \ref{thm:nonlinear case}
in the general case.\hfill \qed



\section{Appendix: A convergence lemma}

\begin{lemma} \label{lem:convergence over compacts of kinetics}
 Let $H_m, H : \mathbb R \to \mathbb R$ be nondecreasing functions that
satisfy \eqref{eq:2} with the same constants $k_1, k_2$, and such that
$H_m \to H$ uniformly over compacts. Let $u_m, u$ be the corresponding solutions
of \eqref{eq:27} with $H_m$ and $H$ respectively. Then
 \begin{equation}
 u_m \rightharpoonup u \textrm{ in } H_0^1 (\Omega).
 \end{equation}
\end{lemma}

\begin{proof}
 We have
 \begin{equation}
 \int _ \Omega |\nabla u_m|^2 \,\mathrm{d}x  \le C \int _ \Omega |f|^2 \,\mathrm{d}x
 \end{equation}
 Therefore, up to a subsequence, there is a weak limit in $H_0^1 (\Omega)$,
let this be $\widetilde u$. A further subsequence guaranties that
 \begin{gather*}
 u_m \to \widetilde u \quad\text{in } L^2 (\Omega) , \\
 u_m \to  \widetilde u \quad\text{a.e. } \Omega.
 \end{gather*}
 Let $x \in \Omega$ such that $u_m(x) \to u(x)$ in $\mathbb R$.
In particular the sequence is bounded so $H_m (u_m(u(x))) \to H (u(x))$
because of the uniform convergence over compact sets. Hence
 \begin{equation}
 H_m (u_m) \to H (\widetilde u) \quad \text{a.e. in } \Omega.
 \end{equation}
 On the other hand, we have
 \begin{gather*}
 |H_m(u_m)| \le k_1 |u_m|^\alpha + k_2 |u_m|
 \le k_1 + (k_1 + k_2) |u_m|,
\\
 \int _\Omega |H (u_m)|^2 \,\mathrm{d}x
\le C\Big( |\Omega | +  \int _ \Omega |u_m|^2 \,\mathrm{d}x  \Big)\\
\le C\Big( |\Omega | + \int _ \Omega |f|^2 \,\mathrm{d}x  \Big)
 \end{gather*}
 Hence, up to a subsequence, there exists $\widetilde H \in L^2 (\Omega)$
such that
 \[
 H_m (u_m) \rightharpoonup \widetilde H \textrm{ in } L^2 (\Omega).
 \]
By Egorov's theorem, we have that, for every $\delta > 0$ there exists
$A_\delta$ measurable such that $|A_\delta| < \delta$ and
$H_m(u_m) \to H (\widetilde u)$ uniformly $\Omega \setminus A_\delta$.
Since $H_m(u_m) \rightharpoonup \widetilde H$ in
$L^2 (\Omega \setminus A_\delta)$ we have that
 $H (\widetilde u) = \widetilde H$ a.e. in $\Omega \setminus A_\delta$.
 Hence $H(\widetilde u) = \widetilde H$ in a.e. $\Omega$, so
 \begin{equation*}
 H_m (u_m) \rightharpoonup H(\widetilde u) \textrm{ in } L^2 (\Omega).
 \end{equation*}
 By passing to the limit in the weak formulation we deduce that
$\widetilde u = u$.
\end{proof}


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