\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2018 (2018), No. 132, pp. 1--29.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu}
\thanks{\copyright 2018 Texas State University.}
\vspace{8mm}}

\begin{document}
\title[\hfilneg EJDE-2018/132\hfil Renormalized solutions]
{Renormalized solutions for nonlinear parabolic equations with
general measure data}

\author[M. Abdellaoui, E. Azroul \hfil EJDE-2018/132\hfilneg]
{Mohammed Abdellaoui, Elhoussine Azroul}

\address{Mohammed Abdellaoui \newline
University of Fez, Faculty of Sciences Dhar El Mahraz,
Laboratory LAMA, Department of Mathematics, B.P. 1796,
Atlas Fez, Morocco}
\email{mohammed.abdellaoui3@usmba.ac.ma}

\address{Elhoussine Azroul \newline
University of Fez, Faculty of Sciences Dhar El Mahraz,
Laboratory LAMA, Department of Mathematics, B.P. 1796,
Atlas Fez, Morocco}
\email{elhoussine.azroul@usmba.ac.ma}


\dedicatory{Communicated by Jerome A. Goldstein}

\thanks{Submitted July 15, 2017. Published June 27, 2018.}
\subjclass[2010]{35R06, 41A30, 35B45, 37K45, 32U20}
\keywords{Nonlinear parabolic problems;  $p$-capacity;  renormalized solution;
\hfill\break\indent  stability; general measure}

\begin{abstract}
 We prove the existence of parabolic initial boundary value problems of the type
 \begin{gather*}
 u_t-\operatorname{div}(a_{\epsilon}(t,x,u_{\epsilon},\nabla u_{\epsilon}))
 =\mu_{\epsilon}\quad\text{in }Q:=(0,T)\times\Omega,\\
 u_{\epsilon}=0\quad\text{on }(0,T)\times\partial \Omega,\quad
 u_{\epsilon}(0)=u_{0,\epsilon}\quad\text{in }\Omega,
 \end{gather*}
 with respect to suitable convergence of the nonlinear operators
 $a_{\epsilon}$ and of the measure data $\mu_{\epsilon}$.
 As a consequence, we obtain the existence of a renormalized solution
 for a general class of nonlinear parabolic equations with right-hand 
 side measure.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{definition}[theorem]{Definition}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{remark}[theorem]{Remark}
\allowdisplaybreaks

\section{Introduction}

In this article we consider the parabolic problem
\begin{equation} \label{e1.1}
\begin{gathered}
u_t-\operatorname{div}(a(t,x,u,\nabla u))=\mu \quad\text{in }Q:=(0,T)\times\Omega,\\
u=0 \quad \text{on }(0,T)\times\partial \Omega,\\
u(0)=u_0 \quad\text{in }\Omega,
\end{gathered}
\end{equation}
where $\Omega$ is an open bounded subset of $\mathbb{R}^{N}$, $N\geq 2$, 
$T>0$ and $Q$ is the cylinder  $(0,T)\times\Omega$, 
$(0,T)\times\partial \Omega$ being its lateral surface, 
the operator of Leray-Lions $u\mapsto -\operatorname{div}(a(t,x,u,\nabla u))$ 
is pseudo-monotone  defined on the space $L^p(0,T;W^{1,p}_0(\Omega))$
with values in its dual $L^{p'}(0,T;W^{-1,p'}(\Omega))$, $p>1$ 
and $\frac{1}{p}+\frac{1}{p'}=1$. We assume that $u_0\in L^{2}(\Omega)$
and the data $\mu$ is a Radon measure with bounded variation on $Q$.

Under some assumptions on $a$, If $\mu\in L^{p'}(Q)$  the existence and unicity 
of a weak solution $u$ of \eqref{e1.1} belonging to suitable energy space and
to $C([0,T;L^{2}(\Omega)])$ was proved in \cite{L}.
In the case of linear operators the difficulty can be overcome by defining 
the solution through the adjoint operator, this method is used in \cite{S} 
and yields a formulation having a unique solution.
For nonlinear operators, the authors in \cite{BM} and \cite{P} extends
 the results in two different directions, assuming that $\mu\in L^{1}(Q)$ 
and $u_0\in L^{1}(\Omega)$, they prove existence of a renormalized solution,
and of entropy solution, the same notions of solutions are used to ensure 
existence and uniqueness of equations with bounded Radon measures on $Q$ 
that does not charge the sets of zero parabolic $p$-capacity
(See \cite{BM,DPP,Po1}), the authors show in \cite{DP} that these two 
notions of solution actually coincide.

Here we  use the notion of renormalized solution, introduced 
in \cite{DMOP,Ma,Pe2}. Roughly speaking, a renormalized solution to 
\eqref{e1.1} is a measurable function with all the truncations in the space
$L^p(0,T;W^{1,p}_0(\Omega))\cap L^{\infty}(0,T;L^{1}(\Omega)) $
and such that for every $S\in W^{2,\infty}(\mathbb{R})(S(0)=0)$ with $S'$ 
has compact support on $\mathbb{R}$, we have
\begin{equation} \label{e1.2}
\begin{aligned}
&-\int_{\Omega}S(u_0)\varphi(0)\,dx -\int_0^{T}\langle\varphi_{t}, S(u-g)\rangle\,dt\\
& +\int_QS'(u-g)a(t,x,u,\nabla u)\cdot\nabla \varphi\,dx\,dt \\
&+\int_QS''(u-g)a(t,x,u,\nabla u)\cdot\nabla (u-g) \varphi\,dx\,dt \\
&=\int_QS'(u-g)\varphi\,d\tilde{\mu}_0,
\end{aligned}
\end{equation}
for every function $\varphi\in L^p(0,T;W^{1,p}_0(\Omega))\cap L^{\infty}(Q)$,
 $\varphi_{t}\in L^{p'}(0,T;W^{-1,p'}(\Omega))$, with $\varphi(T,x)=0$, 
such that $S'(u-g)\varphi\in L^p(0,T;W^{1,p}_0(\Omega))$, $g_{t}$ is the
time derivative part of $\mu_0$ and 
$\hat{\mu}_0=\mu-g_{t}-\mu_{s}=f-\operatorname{div}(G)$. 
Moreover, for every $\psi\in C(\overline{Q})$ we have
\begin{gather*}
\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n\leq v< 2n\}}a(t,x,u,\nabla u)
\cdot\nabla v \psi\,dx\,dt=\int_Q\psi d\mu_{s}^{+}, \\
\lim_{n\to +\infty}\frac{1}{n}\int_{\{ -2n< v\leq -n\}}a(t,x,u,\nabla u)
 \cdot\nabla v \psi\,dx\,dt=\int_Q\psi d\mu_{s}^{-}, 
\end{gather*}
where $\mu_{s}^{+}$ and $\mu_{s}^{-}$ are respectively the positive and the 
negative part of the singular part of the measure $\mu$ w.r.t. the $p$-capacity.

 In the proof of \cite[Theorem 2]{Pe2}, they used the fact that the approximating 
sequences $\mu_{\epsilon}$  having a splitting converging to $\mu$, 
the estimate concerning $u_{\epsilon}$ and $u_{\epsilon}-g_{\epsilon}^{t}$, 
next they prove the strong convergence of $T_k(u_{\epsilon}-g_{\epsilon})$
in $L^p(0,T;W^{1,p}_0(\Omega))$.
To obtain this result, they use the same technique as in \cite{DMOP} adapted 
to the parabolic case.

In the present paper we generalize this existence result to renormalized 
solutions of problems depending on $u$ and $\nabla u$
\begin{equation} \label{pba}
\begin{gathered}
(u_{\epsilon})_t -\operatorname{div}(a(t,x,u_{\epsilon},\nabla u_{\epsilon}))
=\mu_{\epsilon} \quad\text{in }Q:=(0,T)\times\Omega, \\
u_{\epsilon}=0 \quad\text{on }(0,T)\times\partial \Omega,\\
u_{\epsilon}(0)=u_0 \quad\text{in }\Omega,
\end{gathered}
\end{equation}
where $(\mu_{\epsilon})$ is a sequences of measures with splitting converging 
to $\mu$, and
\[
\lim_{\epsilon\to 0} a_{\epsilon}(t,x,s_{\epsilon},\zeta_{\epsilon})
=a_0(t,x,s,\zeta), 
\]
for every sequence $(s_{\epsilon},\zeta_{\epsilon})\in \mathbb{R}\times\mathbb{R}^{N}$
 converging to $(s,\zeta)$ and for a.e. $(t,x)\in Q$.

The main point which allows to go further the previous works, is the proof of 
the almost everywhere convergence of gradients in Proposition \ref{prop5.2} using the 
technique developed in \cite{Po1,Pr1}. To underline 
the importance of this tool, we have chosen to plan the paper in the following way: 
in Sect. 2, we recall some basic notations and we investigate the link between 
measures in $Q$ and the notion of parabolic capacity, this notion can be obtained 
from the result of the "elliptic capacity" contained in \cite{D}, which can be 
slightly adapted to this context of parabolic spaces, and we show the 
decomposition method for more general measures with bounded total variation 
in order to find a sense of solution to Cauchy-Dirichlet problems.

In Sect. 3, we introduce and study a special type of approximating sequences 
of measures obtained via convolution arguments. 
In Sect. 4 we show the interest of cut-off functions and intermediary lemmas. 
In the last two sections, we establish the fundamental a priori estimates 
and we use the proof of strong convergence of truncates to obtain our main result.

\section{Preliminaries}

\subsection{Assumptions on the operator}
Throughout this paper $\Omega$ will be a bounded open subset of $\mathbb{R}^{N}$, 
$N\geq 2$, $p$ and $p'$ will be real numbers, with $p> 1$ and 
$\frac{1}{p}+\frac{1}{p'}=1$. In what follows, $|\zeta|$ and $\zeta\cdot\zeta'$ 
will denote respectively the Euclidean norm of a vector $\zeta\in \mathbb{R}^{N}$ 
and the scalar product between $\zeta$ and $\zeta'\in \mathbb{R}^{N}$.

Fixed three positive constants $c_0,c_1,c_2$, and a non-negative function
$b_0=b(t,x)\in L^{p'}(Q)$, we say that a function 
$a:(0,T)\times\Omega\times\mathbb{R}\times\mathbb{R}^{N}\to \mathbb{R}^{N}$ 
satisfies the assumptions $H(c_0,c_1,c_2,b_0)$ if $a$ is a
Carath\'eodory function (that is, $a(\cdot,\cdot,s,\zeta)$ is measurable 
on $Q$ for every $(s,\zeta)$ in $\mathbb{R}\times\mathbb{R}^{N}$, and 
$a(t,x,\cdot)$ is continuous on $\mathbb{R}\times \mathbb{R}^{N}$ 
for almost  every $(t,x)$ in $Q$) such that, for every $s\in \mathbb{R}$, 
$\zeta,\zeta'\in \mathbb{R}^{N}$ with $\zeta\neq \zeta'$, satisfying the 
following properties.
\begin{gather}
a(t,x,s,\zeta)\cdot\zeta \geq c_0|\zeta|^p, \label{e2.1}\\
|a(t,x,s,\zeta)|\leq b_0(t,x)+c_1|s|^{p-1}+ c_2|\zeta|^{p-1}, \label{e2.2}\\
(a(t,s,s,\zeta)-a(t,x,s,\zeta'))\cdot(\zeta-\zeta')> 0. \label{e2.3}
\end{gather}
Notice that, as a consequence of \eqref{e2.1} and of the continuity of $a$
 with respect to $\zeta$, we have that $a(t,x,s,0)=0$ for a.e. $(t,x)$ in
 $Q$ and for every $s\in \mathbb{R}$.
Thanks to assumptions $H(c_0,c_1,c_2,b_0)$, the map
$u\mapsto - \operatorname{div} (a(t,x,u,\nabla u))$ is a coercive, 
continuous, bounded and monotone operator defined on 
$L^p(0,T;W^{1,p}_0(\Omega))$ with values into its dual space
$L^{p'}(0,T;W^{-1,p'}(\Omega))$; hence by the standard theory of 
monotone operators (see, e.g.,\cite{L}), for every $F$ in $L^{p'}(Q)$ and 
$u_0\in L^{2}(\Omega)$ there exists a variational solution $u$ of the problem
\begin{gather*}
u_t-\operatorname{div}(a(t,x,v,\nabla v))=F \quad \text{in }Q:=(0,T)\times\Omega, \\
v=0 \quad \text{on } (0,T)\times\partial \Omega,\\
v(0)=u_0 \quad \text{in }\Omega,
\end{gather*}
in the sense that $v$ belongs to $W\cap C(0,T;L^{2}(\Omega))$ 
(where $W=\{ u\in L^p(0,T;V), u_{t}\in L^{p'}(0,T;V')\}$ with
 $V= W^{1,p}_0(\Omega)\cap L^{2}(\Omega)$), and
\begin{equation} \label{e2.4}
\begin{aligned}
&-\int_{\Omega} u_0\varphi(0)\,dx - \int_0^{T}\langle\varphi_{t},v\rangle\,dt 
+\int_Qa(t,x,v,\nabla v)\cdot\nabla \varphi\,dx\,dt\\
&=\int_0^{T}\langle F,\varphi\rangle_{W^{-1,p'}(\Omega),W^{1,p}_0(\Omega)}dt,
\end{aligned}
\end{equation}
 for all $\varphi \in W \text{ such that } \varphi(T)=0$.
(Here and in the following $\langle\cdot,\cdot\rangle$ denotes the duality 
pairing between $W^{-1,p'}(\Omega)$  and $W^{1,p}_0(\Omega)$).

\subsection{Capacity and measures}
 For every set $B\subseteq Q$, its $p$-capacity $\operatorname{cap}_{p}(B,Q)$
with respect to $Q$ is defined by
\[ 
\inf   \{ \| u\|_{W}\}
\]
where the infimum is taken over all the functions $u\in W$ such that
 $u\geq 1$ almost everywhere in a neighborhood of $B$.

  We say that a property $\mathcal{P}(t,x)$ holds $\operatorname{cap}_{p}$-quasi
everywhere if $\mathcal{P}(t,x)$ holds for every $(x,t)$ outside a subset of 
$Q$ of zero $p$-capacity. A function $u$ defined on $Q$ is said to be
$\operatorname{cap}_{p}$-quasi continuous if for every $\epsilon>0$ there 
exists $B\subseteq Q$ with $\operatorname{cap}_{p}(B,Q)< \epsilon$ such that the 
restriction of $u$ to $Q\backslash B$ is continuous. 
It is well known that every function in $W$ has a unique, up to sets of $p$-capacity
 zero, $\operatorname{cap}_{p}$-quasi continuous representative, whose values 
are defined $\operatorname{cap}_{p}$-quasi everywhere in $Q$. 
In what follows we always identify a function $u\in W$ with its 
$\operatorname{cap}_{p}$-quasi continuous representative.

   We define $\mathcal{M}_b(Q)$ as the space of all Radon measures on
 $Q$ with bounded total variation, and  $C_b(Q)$ as the space of all bounded, 
continuous functions on $Q$, so that $\int_Q\varphi d\mu$ is defined for
 $\varphi\in C_b(Q)$ and $\mu$ in $\mathcal{M}_b(Q)$. 
The positive part, the negative part, and the total variation of a measure
 $\mu$ in $\mathcal{M}_b(Q)$ are denoted by $\mu^{+}$, $\mu^{-}$, and $|\mu|$, 
respectively.

We recall that for a measure $\mu$ in $\mathcal{M}_b(Q)$, and a Borel set
 $E\subseteq Q$, the measure $\mu\perp E$ is defined by 
$(\mu\perp E)(Q)=\mu(E\cap B)$ for any Borel set $B\subseteq Q$.

In  the sequel we suppose that $p$ satisfies $p>2-\frac{1}{N+1}$. 
Then the embedding $W^{1,p}_0(\Omega)\subset L^{2}(\Omega)$ is valid, i.e.,
\[ 
X=L^p((0,T);W^{1,p}_0(\Omega)),\quad X'=L^{p'}((0,T);W^{-1,p'}(\Omega)).
\]
We say that  a sequence $(\mu_n)$ of measures in $\mathcal{M}_b(Q)$
converges in the narrow topology to a measure $\mu$ in $\mathcal{M}_b(Q)$ if
\begin{equation}  \label{e2.5}
\lim_{n\to +\infty}\int_Q\varphi d\mu_n=\int_Q\varphi d\mu
\end{equation}
for every $\varphi \in C(\overline{Q})$. If \eqref{e2.5} holds only for all 
the continuous functions $\varphi$ with compact support in $Q$, then we 
have the usual weak\_* convergence in $\mathcal{M}_b(Q)$.

We define $\mathcal{M}_0(Q)$ as the set of all measures $\mu$ in $\mathcal{M}_b(Q)$ 
which satisfy $\mu(B)=0$ for every Borel set $B\subseteq Q$ such that
 $\operatorname{cap}_{p}(B,Q)=0$, while $\mathcal{M}_{s}(Q)$ will be the set of 
all measures $\mu$ in $\mathcal{M}_b(Q)$ for which there exists a Borel set 
$B\subset Q$, with $\operatorname{cap}_{p}(B,Q)=0$, such that $\mu=\mu\perp E$.
For every $\mu\in \mathcal{M}_b(Q)$ there exist a unique pair
 $(\mu_0,\mu_{s})$ such that $\mu=\mu_0+\mu_{s}$, $\mu_0\in \mathcal{M}_0(Q)$,
 $\mu_{s}\in \mathcal{M}_{s}(Q)$ (see \cite[Lemma 2.1]{FST}). 
In addition, a measure $\mu$ belongs to $\mathcal{M}_0(Q)$ if and only if 
$\mu$ belongs to $L^{1}(Q)+L^{p'}(0,T;W^{-1,p'}(\Omega))+ L^p(0,T;V)$
(see \cite[Theorem 1.1]{DPP}). Hence a measure $\mu\in \mathcal{M}_b(Q)$ 
can be decomposed (not in a unique way) as
\begin{equation} \label{e2.6}
\mu=f+F+g_{t}+\mu_{s}^{+}-\mu_{s}^{-}
\end{equation}
with $f\in L^{1}(Q)$, $F\in L^{p'}(0,T;W^{-1,p'}(\Omega))$, 
$g_{t}\in L^p(0,T;V)$ and $\mu_{s}\perp p$-capacity.

\subsection{Definition of renormalized solution}

 For any $k>0$, we define the truncation function $T_k:\mathbb{R}\to \mathbb{R}$ by
\[
T_k(t)=\text{max}(-k,\text{min}(k,t)),\quad t\in \mathbb{R}
\]
Let us consider the space of all measurable functions, finite a.e. in $Q$ 
such that $T_k(u)$ belongs to $L^p(0,T;W^{1,p}_0(\Omega))$ for every $k>0$.

We can see that every function $u$ in this space has a $\operatorname{cap}_{p}$-quasi 
continuous representative, that will always be identified with $u$. 
Moreover, there exists a measurable function $v:Q\to \mathbb{R}^{N}$, 
which is unique up to almost everywhere equivalence, such that 
$\nabla T_k(u)=v\chi_{\{ |u|<k\}}$ a.e. in $Q$, for every $k>0$,
(see \cite[Lemma 2.1]{B6}).
 Hence it is possible to define a generalized gradient $\nabla u$ of $u$, 
setting $\nabla u=v$. If $u\in L^{1}(0,T;W^{1,1}_0(\Omega))$, this gradient 
coincide with the usual gradient in distributional sense.

Let $T_k(t)$ be the Lipschitz continuous function
$T_k:\mathbb{R}\to\mathbb{R}$, so that we can define the auxiliary functions
\[
\Theta_n(s)=T_1(s-T_n(s)),\quad h_n(s)=1-(\Theta_n(s)),\quad S_n(s)
=\int_0^{s}h_n(r)dr,\; \forall s\in \mathbb{R}.
\]
We are now in a position to introduce (following \cite{Pe2}) the notion
 of renormalized solution. To simplify the notation, let us define $v=u-g$, 
where $u$ is the solution and $g$ is the time-derivative part of $\mu_0$, 
and $\hat{\mu}_0=\mu-g_{t}-\mu_{s}=f-\operatorname{div}(G)$.

\begin{definition}\label{def2.1} \rm
Let $u_0\in L^{1}(\Omega)$, $\mu\in \mathcal{M}_b(Q)$. A measurable function 
$u$ is a renormalized solution of problem \eqref{e1.1} if there exists 
a decomposition $(f,G,g)$ of $\mu_0$ such that
\begin{equation}  \label{e2.7}
\begin{gathered}
v=u-g\in L^{q}(0,T;W^{1,q}_0(\Omega))\cap L^{\infty}(0,T;L^{1}(\Omega))\quad 
\forall q<p-\frac{N}{N+1},\\
T_k(v)\in X\quad \forall k>0,
\end{gathered}
\end{equation}
and, for every $S\in W^{2,\infty}(\mathbb{R})$ such that $S'$ has compact 
support on $\mathbb{R}$, and $S(0)=0$,
\begin{equation} \label{e2.8}
\begin{aligned}
 &-\int_{\Omega}S(u_0)\varphi(0)\,dx 
  -\int_0^{T}\langle \varphi_{t},S(v)\rangle\,dt 
 + \int_QS'(v)a(t,x,u,\nabla u)\cdot\nabla \varphi\,dx\,dt\\
 &+\int_QS''(v)a(t,x,u,\nabla u)\cdot\nabla v\varphi\,dx\,dt
 =\int_QS'(v)\varphi\,d\tilde{\mu}_0,
\end{aligned}
\end{equation}
for any $\varphi\in X\cap L^{\infty}(Q)$ such that $\varphi_{t}\in X'+L^{1}(Q)$ 
and $\varphi(\cdot,T)=0$; for any $\psi\in C(\overline{Q})$
\begin{equation} \label{e2.9}
\begin{aligned}
\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n\leq v< 2n\}}a(t,x,u,\nabla u)
 \cdot\nabla v \psi\,dx\,dt &=\int_Q\psi d\mu_{s}^{+},\\
\lim_{n\to +\infty}\frac{1}{n}\int_{\{ -2n< v\leq -n\}}a(t,x,u,\nabla u)
 \cdot\nabla v \psi\,dx\,dt&=\int_Q\psi d\mu_{s}^{-},
\end{aligned}
\end{equation}
\end{definition}

\begin{remark} \label{rmk2.2} \rm
Notice that, if $u$ is a renormalized solution of \eqref{e1.1}, then
\begin{equation} \label{e2.10}
\begin{aligned}
&(S(u-g))_{t} - \operatorname{div} (a(t,x,u,\nabla u)S'(u-g))
 + S''(u-g)a(t,x,u,\nabla u)\cdot\nabla (u-g) \\
&= S'(u-g)f + S''(u-g)G\cdot\nabla (u-g) - \operatorname{div} (GS'(u-g))
\end{aligned}
\end{equation}
is satisfied in the sense of distributions. Hence we can put as test 
functions not only functions in $C^{\infty}_0(Q)$ but also in 
$L^p(0,T;W^{1,p}_0(\Omega))\cap L^{\infty}(Q)$.
\end{remark}

\section{Statement of results}

In what follows the variable $\epsilon$ will belong to a sequence of positive 
numbers converging to zero.
Let $a_{\epsilon}:Q\times\mathbb{R}\times\mathbb{R}^{N}\to\mathbb{R}^{N}$ 
be a sequence of functions satisfying the hypothesis $H(c_0,c_1,c_2,b_0)$.
Assume that there exists a function 
$a_0:Q\times\mathbb{R}\times\mathbb{R}^{N}\to \mathbb{R}^{N}$ 
satisfying the hypothesis $H(c_0,c_1,c_2,b_0)$, and such that
\begin{equation} \label{e3.1}
\lim_{\epsilon\to 0} a_{\epsilon}(t,x,s_{\epsilon},\zeta_{\epsilon})
= a_0(t,x,s,\zeta),
\end{equation}
for every sequence $(s_{\epsilon},\zeta_{\epsilon})\in \mathbb{R}\times
\mathbb{R}^{N}$ which converges to $(s,\zeta)$ and for almost $(t,x)\in Q$.
Fixed $\mu\in \mathcal{M}_b(Q)$, we consider a special type of approximating 
sequence $\mu_{\epsilon}$, defined as follows.

\begin{definition}\label{def3.1} \rm
Let $\mu\in \mathcal{M}_b(Q)$ be decomposed as 
$\mu=f+F+g_{t}+\mu_{s}^{+}-\mu_{s}^{-}$, with $f\in L^{1}(Q)$, and 
$F=-\operatorname{div}(G)$, $G\in (L^{p'}(Q))^{N}$, 
$g_{t}\in L^{p'}(0,T;W^{-1,p'}(\Omega))$. Let $(\mu_{\epsilon})$ 
be a sequence of measures in $\mathcal{M}_b(Q)$, we say that 
$(\mu_{\epsilon})$ has a splitting 
$(f_{\epsilon},F_{\epsilon},g^{t}_{\epsilon},\lambda_{\epsilon}^{\oplus},
\lambda_{\epsilon}^{\ominus})$ converging to $\mu$. 
If for every $\epsilon$ the measure $\mu_{\epsilon}$ can be decomposed as
\begin{equation} \label{e3.2}
\mu_{\epsilon}=f_{\epsilon}+F_{\epsilon}+g^{t}_{\epsilon}
+\lambda_{\epsilon}^{\oplus}-\lambda_{\epsilon}^{\ominus},
\end{equation}
and the following holds
 \begin{itemize}
\item[(i)] $(f_{\epsilon})$ is a sequence of $C^{\infty}_{c}(Q)$
 functions converging to $f$ weakly in $L^{1}(Q)$;

\item[(ii)]$(G_{\epsilon})$ is a sequence of functions in $(C^{\infty}_{c}(Q))^{N}$
 that converges to $g$ strongly in $(L^{p'}(Q))^{N}$;

\item[(iii)] $(g_{\epsilon}^{t})$ is a sequence of functions in
 $(C^{\infty}_{c}(Q))^{N}$ that converges to $g_{t}$ in $L^p(0,T;V)$;

\item[(iv)] $(\lambda_{\epsilon}^{\oplus})$ is a sequence of non-negative
 measures in $\mathcal{M}_b(Q)$ such that 
 $\lambda_{\epsilon}^{\oplus}=\lambda_{\epsilon,0}^{1,\oplus}- \operatorname{div} 
 (\lambda_{\epsilon,0}^{2,\oplus})+\lambda_{\epsilon,s}^{\oplus}$ with 
 ($\lambda_{\epsilon,0}^{1,\oplus}\in L^{1}(Q)$, 
 $\lambda_{\epsilon,0}^{2,\oplus}\in (L^{p'}(Q))^{N}$ and 
 $\lambda_{\epsilon,s}^{\oplus}\in \mathcal{M}_{s}^{+}(Q)$) that converges 
 to $\mu_{s}^{+}$ in the narrow topology of measures;

\item[(v)] $(\lambda_{\epsilon}^{\ominus})$ is a sequence of non-negative measures
 in $\mathcal{M}_b(Q)$ such that $\lambda_{\epsilon}^{\ominus}
 =\lambda_{\epsilon,0}^{1,\ominus}- \operatorname{div} 
 (\lambda_{\epsilon,0}^{2,\ominus})+\lambda_{\epsilon,s}^{\ominus}$
 with ($\lambda_{\epsilon,0}^{1,\ominus}\in L^{1}(Q)$, 
 $\lambda_{\epsilon,0}^{2,\ominus}\in (L^{p'}(Q))^{N}$ and
 $\lambda_{\epsilon,s}^{\ominus}\in \mathcal{M}_{s}^{+}(Q)$) that converges
 to $\mu_{s}^{-}$ in the narrow topology of measures.
\end{itemize}
Moreover, let $u_0^{\epsilon}\in C^{\infty}_0(\Omega)$ that approaches 
$u_0$ in $L^{1}(\Omega)$, notice that this approximation can be easily 
obtained via a standard convolution arguments and we can also assume
\[ 
\| \mu_{\epsilon}\|_{L^{1}(Q)}\leq C|\mu|;\quad
\| u_{0,\epsilon}\|_{L^{1}(\Omega)}\leq C\| u_0\|_{L^{1}(\Omega)}.
\]
\end{definition}

\begin{remark}\label{rmk3.2} \rm
Let us introduce the following function that we will often use in the following
\[
H_n(r)=\chi_{[-n,n]}(r)+\frac{2n-|s|}{n}\chi_{\{ n<|s|\leq 2n\}}(r), \quad
 \overline{H}_n(r)=\int_0^{r}H_n(\tau)d\tau, 
\]
and another auxiliary function introduced in terms of $H_n(s)$
\[ 
B_n(s)=1-H_n(s).
\]
\end{remark}

\begin{proposition}\label{prop2.1}
Let $v=u-g$ be a renormalized solution of problem \eqref{e1.1}.
 Then, for every, $k>0$, we have
\[ 
\int_Q|\nabla T_k(v)|^pdx\,dt\leq C(k+1),
\]
where $C$ is a positive constant not depending on $k$.
\end{proposition}

For a proof of the above proposition see \cite[Proposition 2]{Pe2}.

\begin{remark} \label{rmk3.4} \rm
If we decompose the measures, $\mu_{\epsilon}$, $\lambda_{\epsilon}^{\oplus}$, 
$\lambda_{\epsilon}^{\ominus}$ respectively as 
$\mu_{\epsilon}=\mu_{\epsilon,0}+\mu_{\epsilon,s}$, 
$\lambda_{\epsilon}^{\oplus}
=\lambda_{\epsilon,0}^{\oplus}+\lambda_{\epsilon,s}^{\oplus}$ 
$(\lambda_{\epsilon,0}^{\oplus}=\lambda_{\epsilon,0}^{1,\oplus}
- \operatorname{div} (\lambda_{\epsilon,0}^{2,\oplus}))$, 
$\lambda_{\epsilon}^{\ominus}=\lambda_{\epsilon,0}^{\ominus}
+\lambda_{\epsilon,s}^{\ominus}$ 
($\lambda_{\epsilon,0}^{\ominus}=\lambda_{\epsilon,0}^{1,\ominus}
- \operatorname{div} (\lambda_{\epsilon,0}^{2,\ominus})$), 
with $\mu_{\epsilon,0},\lambda_{\epsilon,0}^{\oplus}$,
 $\lambda_{\epsilon,0}^{\ominus}$ in $\mathcal{M}_0(Q)$, and
 $\mu_{\epsilon,s}$, $\lambda_{\epsilon,s}^{\oplus}$,
 $\lambda_{\epsilon,s}^{\ominus}$ in $\mathcal{M}_{s}(Q)$, then clearly
 $\lambda_{\epsilon,0}^{\oplus}$, $\lambda_{\epsilon,0}^{\ominus}$, 
$\lambda_{\epsilon,s}^{\oplus}$, $\lambda_{\epsilon,s}^{\ominus}$ are non-negative, 
$\mu_{\epsilon,0}=f_{\epsilon}+ F_{\epsilon}+g_{\epsilon}
+\lambda_{\epsilon,0}^{\oplus}-\lambda_{\epsilon,0}^{\ominus}$ and 
$\mu_{\epsilon,s}=\lambda_{\epsilon,s}^{\oplus}-\lambda_{\epsilon,s}^{\ominus}$. 
In particular we have
\begin{equation} \label{e3.3}
0\leq \mu_{\epsilon,s}^{+}\leq \lambda_{\epsilon,s}^{\oplus},\quad 
0\leq \mu_{\epsilon,s}^{-}\leq \lambda_{\epsilon,s}^{\ominus}.
\end{equation}
\end{remark}

We are interested in the asymptotic behaviour of a sequence of renormalized 
solutions $(u_{\epsilon})$ to the problem
\begin{equation} \label{e3.4}
\begin{gathered}
(u_{\epsilon})_t -\operatorname{div}(a(t,x,u_{\epsilon},\nabla u_{\epsilon}))
=\mu_{\epsilon} \quad \text{in }Q:=(0,T)\times\Omega, \\
u_{\epsilon}=0 \quad  \text{on } (0,T)\times\partial \Omega,\\
u_{\epsilon}(0)=u_0 \quad \text{in }\Omega,
\end{gathered}
\end{equation}
in the sense of Definition \ref{def2.1}. Our main result reads as follows.

\begin{theorem}\label{thm3.5}
Let $(a_{\epsilon}), a_0$ be functions satisfying $H(c_0,c_1,c_2,b_0)$
and \eqref{e3.1}. Let $\mu\in \mathcal{M}_b(Q)$ be decomposed as 
$f+F+g_{t}+\mu_{s}^{+}-\mu_{s}^{-}$, and let $(\mu_{\epsilon})$ a 
sequence of measures in $\mathcal{M}_b(Q)$ which have a splitting 
$(f_{\epsilon},F_{\epsilon},g_{\epsilon},\lambda_{\epsilon}^{\oplus},
\lambda_{\epsilon}^{\ominus})$ converging to $\mu$. 
Assume that $u_{\epsilon}$ is a renormalized solution of \eqref{e3.4}. 
Then there exists a subsequence, still denoted by $(u_{\epsilon})$, 
and a renormalized solution $u$ to the problem
\begin{equation} \label{e3.5}
\begin{gathered}
u_t-\operatorname{div}(a_0(t,x,u,\nabla u))=\mu \quad \text{in }Q:=(0,T)\times\Omega,\\
u=0 \quad \text{on } (0,T)\times\partial \Omega,\\
u(0)=u_0 \quad\text{in }\Omega,
\end{gathered}
\end{equation}
such that $(u_{\epsilon})$ converges to $u$ a.e. in $Q$, and 
$(v_{\epsilon})=(u_{\epsilon}-g_{\epsilon})$ converges to $v=u-g$ a.e. in $Q$.
\end{theorem}

\begin{remark} \label{rmk3.6} \rm
The convergence of $u_{\epsilon}$ to $u$ is not merely pointwise. 
The kind of converges obtained are listed in Proposition \ref{prop5.2},
 where the existence of the limit function $u$ is obtained.
\end{remark}

\begin{remark} \label{rmk3.7}\rm
Let $z_{\nu}$ be a sequence of functions such that
\begin{gather*}
 z_{\nu}\in W^{1,p}_0(\Omega)\cap L^{\infty}(\Omega),\quad 
 \| z_{\nu}\|_{L^{\infty}(\Omega)}\leq k, \\
 z_{\nu}\to T_k(u_0)\text{ a.e. in } \Omega \text{ as } \nu \text{ tends to infinity}, \\
 \frac{1}{\nu}\| z_{\nu}\|_{W^{1,p}_0(\Omega)}^p\to 0
 \text{ as $\nu$ tends to infinity}.
\end{gather*}
Then, for fixed $k>0$, and $\nu>0$, we denote by $(T_k(v))_{\nu}$
(Landes-time regularization of the truncate function $T_k(v)$
introduced in \cite{La} and used in several articles 
(see \cite{BDGO,BP,DO}) the unique solution of the problem
\begin{gather*}
\frac{dT_k(v)_{\nu}}{dt}=\nu(T_k(v)-T_k(v)_{\nu}) \quad
\text{in the sense of distributions},\\
T_k(v)_{\nu}=z_{\nu}  \quad \text{ in } \Omega,
\end{gather*}
therefore, $T_k(v)_{\nu}\in L^p(0,T;W^{1,p}_0(\Omega)\cap L^{\infty}(Q))$
and $\frac{dT_k(v)}{dt}\in L^p(0,T;W^{1,p}_0(\Omega))$, and it can be
proved that, up to a subsequences, as $\nu$ diverges
\begin{gather*}
T_k(v)_{\nu}\to T_k(v)\quad \text{ strongly in $L^p(0,T;W^{1,p}_0(\Omega))$
 and a.e. in }Q,  \\
\| T_k(v)_{\nu}\|_{L^{\infty}(Q)}\leq k\quad \forall \nu>0 
\end{gather*}
Then choosing this approximation in parabolic case with fact that 
$(\mu_{\epsilon})$ approximates $\mu$ in the sense of Definition \ref{def3.1}.
 Hence we obtain, as consequence of the strong convergence of truncates 
the existence of renormalized solution of \eqref{e3.5} obtained  as 
stated in the following theorem.
\end{remark}

\begin{theorem}\label{thm3.8}
Let $a_0$ be a function satisfying $H(c_0,c_1,c_2,b_0)$ and
$u_0\in L^{1}(\Omega)$, $\mu\in \mathcal{M}_b(Q)$. Then there exists a
 renormalized solution $u$ to problem
\begin{gather*}
u_t-\operatorname{div}(a_0(t,x,u,\nabla u))=\mu \quad \text{in }Q:=(0,T)\times\Omega, \\
u=0 \quad \text{on } (0,T)\times\partial \Omega,\\
u(0)=u_0 \quad \text{in }\Omega.
\end{gather*}
\end{theorem}

\section{Some remarks on measures}

We recall that a sequence $(\mu_{\epsilon})$ of non-negative measures converges 
to $\mu$ in the narrow topology if and only if $(\mu_{\epsilon}(Q))$
 converges to $\mu(Q)$ and \eqref{e2.5} holds for every 
$\varphi\in C^{\infty}_{c}(Q)$. In particular a sequence $(\mu_{\epsilon})$ 
of non-negative measures converges to $\mu$ in the narrow topology if and only if 
\eqref{e2.5} holds for every $\varphi\in C_{c}(\overline{Q})$. 
The following lemma states a consequence result of the Dunford-pettis theorem.

\begin{lemma}\label{lem4.1}
Let $(\rho_{\epsilon})$ be a sequence in $L^{1}(Q)$ converging to $\rho$ 
weakly in $L^{1}(Q)$ and $(\sigma_{\epsilon})$ a bounded sequence in 
$L^{\infty}(Q)$ converging to $\sigma$ a.e. in $Q$. Then
\[ 
\lim_{\epsilon\to 0} \int_Q\rho_{\epsilon}\sigma_{\epsilon}dx\,dt
=\int_Q\rho\sigma\,dx\,dt
\]
\end{lemma}

Next we need to localize some integrals near the support of 
$\mu_{s}\in \mathcal{M}_{s}(Q)$ (singular measure with respect to $p$-capacity). 
This will be done in terms of the following cut-off functions 
(see \cite[Lemma 5]{Pe2}).

\begin{lemma}\label{lem4.2}
Let $\mu_{s}$ be a measure in $\mathcal{M}_{s}(Q)$, and let 
$\mu_{s}^{+},\mu_{s}^{-}$ be respectively the positive and the negative part
 of $\mu_{s}$. Then for every $\delta>0$, there exists two functions 
$\psi_{\delta}^{+},\psi_{\delta}^{-}$ in $C^{1}_0(Q)$, such that the following hold
\begin{itemize}
 \item[(i)] $0\leq \psi_{\delta}^{+}\leq 1$  and 
$ 0\leq \psi_{\delta}^{-}\leq 1$ on $Q$;

\item[(ii)] $\lim_{\delta\to 0} \psi_{\delta}^{+}
=\lim_{\delta\to 0} \psi_{\delta}^{-}=0$ strongly in 
$L^p(0,T;W^{1,p}_0(\Omega))$  and weakly\_* in $L^{\infty}(Q)$;

\item[(iii)] $\lim_{\delta\to 0} (\psi_{\delta}^{+})_{t}
=\lim_{\delta\to 0} (\psi_{\delta}^{-})_{t}=0$ strongly in 
$L^{p'}(0,T;W^{-1,p'}(\Omega))+L^{1}(Q)$;

\item[(iv)] $\int_Q\psi_{\delta}^{-}d\mu_{s}^{+}\leq \delta$ and
$\int_Q\psi_{\delta}^{+}d\mu_{s}^{-}\leq \delta$;

\item[(v)] $\int_Q(1-\psi_{\delta}^{+}\psi_{\eta}^{+})d\mu_{s}^{+}
\leq \delta+ \eta$ and 
$\int_Q(1-\psi_{\delta}^{-}\psi_{\eta}^{-})d\mu_{s}^{-}\leq\delta+\eta$ for all 
$\eta>0$.
 \end{itemize}
\end{lemma}

 \begin{lemma}\label{lem4.3}
Let $\mu_{s}$ be a measure in $\mathcal{M}_{s}(\Omega)$, decomposed as 
$\mu_{s}=\mu_{s}^{+}-\mu_{s}^{-},$ with $\mu_{s}^{+}$ and 
$\mu_{s}^{-}$ concentrated on two disjoint subsets $E^{+}$ and $E^{-}$ of 
zero $p$-capacity. Then, for every $\delta>0$, there exists two compact sets 
$K_{\delta}^{+}\subseteq E^{+}$ and $K_{\delta}^{-}\subseteq E^{-}$ such that
\begin{equation} \label{e4.1}
\mu_{s}^{+}(E^{+}\backslash K_{\delta}^{+})\leq \delta,\quad  
\mu_{s}^{-}(E^{-}\backslash K_{\delta}^{-})\leq \delta,
\end{equation}
and there exists $\psi_{\delta}^{+}$, $\psi_{\delta}^{-}\in C_0^{1}(Q)$, such that
\begin{gather} \label{e4.2}
\psi_{\delta}^{+}, \psi_{\delta}^{-}\equiv 1\quad \text{respectively on }
K_{\delta}^{+}, K_{\delta}^{-}, \\
\label{e4.3}
0\leq \psi_{\delta}^{+}, \psi_{\delta}^{-} \leq 1, \\
\label{e4.4}
\operatorname{supp}(\psi_{\delta}^{+})\cap\operatorname{supp}
(\psi_{\delta}^{-})\equiv \emptyset.
\end{gather}
Moreover
\begin{equation} \label{e4.5}
\| \psi_{\delta}^{+}\|_{S}\leq \delta, \quad \| \psi_{\delta}^{-}\|_{S}\leq \delta,
\end{equation}
and, in particular, there exists a decomposition of 
$(\psi_{\delta}^{+})_{t}$ and a decomposition of $(\psi_{\delta}^{-})_{t}$ 
such that
\begin{gather} \label{e4.6}
\| (\psi_{\delta}^{+})_{t}^{1}\|_{L^{p'}(0,T;W^{-1,p'}(\Omega))}
\leq \frac{\delta}{3},\quad 
\| (\psi_{\delta}^{+})_{t}^{2}\|_{L^{1}(Q)}\leq \frac{\delta}{3}, \\
 \label{e4.7}
\| (\psi_{\delta}^{-})_{t}^{1}\|_{L^{p'}(0,T;W^{-1,p'}(\Omega))}
\leq \frac{\delta}{3},\quad 
\| (\psi_{\delta}^{-})_{t}^{2}\|_{L^{1}(Q)}\leq \frac{\delta}{3},
\end{gather}
and both $\psi_{\delta}^{+}$ and $\psi_{\delta}^{-}$ converges to 
zero *\_weakly in $L^{\infty}(Q)$, in $L^{1}(Q)$, and up to subsequences, 
almost everywhere as $\delta$ vanishes.

Moreover, if $\lambda^{\oplus}_{\epsilon}$ and $\lambda^{\ominus}_{\epsilon}$
 are as in \eqref{e3.2} we have
\begin{gather} \label{e4.8}
\int_Q\psi_{\delta}^{-}d\lambda^{\oplus}_{\epsilon}=\omega(\epsilon,\delta),\quad 
\int_Q\psi_{\delta}^{-}d\mu_{s}^{+}\leq \delta, \\
 \label{e4.9}
\int_Q\psi_{\delta}^{+}d\lambda^{\ominus}_{\epsilon}=\omega(\epsilon,\delta),\quad
\int_Q\psi_{\delta}^{+}d\mu_{s}^{-}\leq \delta, \\
 \label{e4.10}
\int_Q(1-\psi_{\delta}^{+}\psi_{\eta}^{+})d\lambda^{\oplus}_{\epsilon}
=\omega(\epsilon,\delta,\eta),\quad 
\int_Q(1-\psi_{\delta}^{+}\psi_{\eta}^{+})d\mu_{s}^{+}\leq \delta+\eta, \\
 \label{e4.11}
\int_Q(1-\psi_{\delta}^{-}\psi_{\eta}^{-})d\lambda^{\ominus}_{\epsilon}
=\omega(\epsilon,\delta,\eta),\quad
 \int_Q(1-\psi_{\delta}^{-}\psi_{\eta}^{-})d\mu_{s}^{-}\leq \delta+\eta.
\end{gather}
\end{lemma}

For a proof of the above lemma see \cite[Lemma 5]{Pe2}.

\begin{remark}\label{rmk4.4} \rm
If $\lambda_{\epsilon}^{\oplus}$ and $\lambda_{\epsilon}^{\ominus}$ satisfy 
(iii) and (iv) of Definition \ref{def3.1}, respectively, and 
$\psi_{\delta}^{-}$ and $\psi_{\delta}^{+}$ are the functions defined 
in Lemma \ref{lem4.2}, as an easy consequence of the narrow convergence we obtain
\begin{gather} \label{e4.12}
\lim_{\delta\to 0} \lim_{\epsilon\to 0} 
\int_Q\psi_{\delta}^{-}d\lambda_{\epsilon}^{\oplus}= 0,\quad 
\lim_{\delta\to 0} \lim_{\epsilon\to 0} 
\int_Q\psi_{\delta}^{+}d\lambda_{\epsilon}^{\ominus}= 0, \\
 \label{e4.13}
\lim_{\eta \to 0} \lim_{\delta\to 0} \lim_{\epsilon\to 0} 
\int_Q(1-\psi_{\delta}^{+}\psi_{\eta}^{+})d\lambda_{\epsilon}^{\oplus}=0,
\quad \lim_{\eta \to 0} \lim_{\delta\to 0} \lim_{\epsilon\to 0}
\int_Q(1-\psi_{\delta}^{-}\psi_{\eta}^{-})d\lambda_{\epsilon}^{\ominus}=0.
\end{gather}
\end{remark}

\section{Existence of a limit function}

The following lemma is the main tool in order to establish the fundamental 
a priori estimates for the sequence $(u_{\epsilon})$.

\begin{lemma}\label{lem5.1}
Let $u,v$ as defined before, and assume that there exists $C>0$ such that
\begin{equation} \label{e5.1}
\begin{gathered}
\| u\|_{L^{\infty}(0,T;L^{1}(\Omega))}\leq C;\quad
\| v\|_{L^{\infty}(0,T;L^{1}(\Omega))}\leq C,\\
\int_Q|\nabla T_k(u)|^pdx\,dt\leq Ck;\quad
\int_Q|\nabla T_k(v)|^pdx\,dt \leq C(k+1),
\end{gathered}
\end{equation}
for every $k>0$. Then there exists $C=C(N,M,p)>0$ such that
\begin{itemize}
\item[(i)] $\operatorname{meas}\{ |u|\geq k\} \leq Ck^{-(p-1+\frac{p}{n})}$,
 $\operatorname{meas}\{ |v|\geq k\} \leq Ck^{-(p-1+\frac{p}{n})} $,
\item[(ii)] $\operatorname{meas}\{ |\nabla u|\geq k\} \leq Ck^{-(p-\frac{N}{N+1})}$,
$\operatorname{meas}\{ |\nabla v|\geq k\} \leq Ck^{-(p-\frac{N}{N+1})} $.
\end{itemize}
\end{lemma}

\begin{proof}
(i) We can improve this kind of estimate by using a suitable
 Gagliardo-Niremberg typeinequality (see \cite[Proposition 3.1]{DiB})
 which asserts that is 
$w\in L^{q}(0,T;W^{1,q}_0(\Omega))\cap L^{\infty}(0,T;L^{2}(\Omega))$, with 
$q\geq 1$, $\sigma\geq 1$. Then $w\in L^{\sigma}(Q)$ with 
$\sigma=q\frac{N+\rho}{N}$ and
\[ 
\int_Q|w|^{\sigma}dx\,dt 
\leq C\| w\|_{L^{\infty}(0,T;L^{\rho}(\Omega))}^{\frac{\rho q}{N}}
\int_Q|\nabla w|^{q}dx\,dt.
\]
Indeed, in this way we obtain
\[ 
\int_Q|T_k(u)|^{p+\frac{p}{N}}dx\,dt \leq Ck, 
\]
and so, we can write
\[
K^{p+\frac{p}{N}}meas \{ |u|\geq k\} 
\leq \int_{\{ |u|\geq k\}}|T_k(u)|^{p+\frac{p}{N}}\,dx\,dt 
\leq \int_Q|T_k(u)|^{p+\frac{p}{N}}\,dx\,dt \leq Ck, 
\]
Then,
\[ 
\operatorname{meas}\{ |u|\geq k\} \leq \frac{C}{k^{p-1+\frac{p}{N}}}.
\]

\noindent(ii) We are interested about a similar estimate on the gradients 
of functions $u$; let us emphasize that these estimates hold true. 
First of all, observe that
\[ 
\operatorname{meas}\{ |\nabla u|\neq \lambda\} \leq \operatorname{meas}
\{ |\nabla u|\neq \lambda;|u|\leq k\} + \operatorname{meas}
\{ |\nabla u|\neq \lambda;|u|> k\} 
\]
with regard to the first term in the right hand side, we have
\begin{equation} \label{e5.2}
\begin{gathered}
\operatorname{meas}\{ |\nabla u|\neq \lambda;|u|\leq k\} 
\leq \frac{1}{\lambda^p}\int_{\{|\nabla u|\geq \lambda; |u|\leq k\}}
 |\nabla u|^pdx \\
\frac{1}{\lambda^p}\int_{\{|u|\leq k\}}|\nabla u|^pdx
=\frac{1}{\lambda^p}\int_Q|\nabla T_k(u)|^pdx\leq \frac{Ck}{\lambda^p};
\end{gathered}
\end{equation}
while for the last term, thanks to (i), we can write
\[
\operatorname{meas}\{ |\nabla u|\geq \lambda; |u|>k\}
\leq \operatorname{meas}\{ |u|\geq k\}\leq \frac{\overline{C}}{K^{\sigma}}, 
\]
with $\sigma=p-1+\frac{p}{N}$. So, finally, we obtain
\[ 
\operatorname{meas}\{ |\nabla u|\geq \lambda\}
\leq \frac{\overline{C}}{k^{\sigma}}+\frac{Ck}{\lambda^p},
\]
and we obtain a better estimate by taking the minimum over $k$ of the right-hand 
side; the minimum is achieved for the value
\[
 k_0=\big(\frac{\sigma C}{\overline{C}}\big)^{\frac{1}{\sigma +1}}
\lambda^{\frac{p}{\sigma+1}}
\]
and so we obtain the desired estimate
\[
\operatorname{meas}\{ |\nabla u|\geq \lambda\} \leq C\lambda^{-\gamma} 
\]
with $\gamma=p(\frac{\sigma}{\sigma+1})=\frac{Np+p-N}{N+1}=p-\frac{N}{N+1}$.
Then, we found that $u$ (resp $v$) is uniformally bounded in the Marcinkiewicz 
space $\mathcal{M}^{p-1+\frac{p}{N}}(Q)$ and $\nabla u$ (resp $\nabla v$) 
is equibounded in $\mathcal{M}^{\gamma}(Q)$, with $\gamma=p-\frac{N}{N+1}$.
\end{proof}

     From now we always assume that $(a_{\epsilon})$, $a_0$ are functions 
satisfying $H(c_0,c_1,c_2,b_0)$ and \eqref{e3.1}, that
$\mu\in\mathcal{M}_b(Q)$ is decomposed as $f+F+g_{t}+\mu_{s}$, $f\in L^{1}(Q)$, 
$F\in L^{p'}(0,T;W^{-1,p'}(\Omega))$, $g_{t}\in L^p(0,T;V)$,
$\mu_{s}\in \mathcal{M}_{s}(Q)$, and that $(\mu_{s})$ is a sequence of
 measure in $\mathcal{M}_b(Q)$, which have a splitting 
$(f_{\epsilon},F_{\epsilon},g_{\epsilon},\lambda_{\epsilon}^{\oplus},
\lambda_{\epsilon}^{\ominus})$ converging to $\mu$. We shall denotes by 
$u_{\epsilon}$ a renormalized solution of \eqref{e3.4} with $\mu_{\epsilon}$ 
as datum. Hence it satisfies:
\begin{equation} \label{e5.3}
 \begin{aligned}
 &\int_0^{T}\langle(v_{\epsilon})_{t},\varphi \rangle\,dt
+\int_Qa(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla \varphi\,dx\,dt\\
 &= \int_Q f_{\epsilon}\varphi\,dx\,dt
+\int_0^{T}\langle F_{\epsilon},\varphi\rangle\,dx\,dt+\int_Q\varphi 
\;d(\lambda_{\epsilon}^{\oplus}-\lambda_{\epsilon}^{\ominus}),
 \end{aligned}
\end{equation}
for all $\varphi\in L^p(0,T;W^{1,p}_0(\Omega))\cap L^{\infty}(Q)$,
$\varphi_{t}\in L^{p'}(0,T;W^{-1,p'}(\Omega))$, with $\varphi(T,0)=0$.

As a first step, we find a function $u\in L^{\infty}(0,T;L^{1}(\Omega))$ 
such that $T_k(u)\in L^p(0,T;W^{1,p}_0(\Omega))$ which is the limit,
up to a subsequence, of $(u_{\epsilon})$ in suitable topologies.

\begin{proposition}\label{prop5.2}
Let $\mu_{\epsilon}\in \mathcal{M}_b(Q)$, $(u_{0,\epsilon})\in L^{1}(\Omega)$, 
with $\text{sup}_{\epsilon}|\mu_{\epsilon}(Q)|< \infty$ and 
$\| u_{0,\epsilon}\|_{1,\Omega}< \infty$.
Let $(u_{\epsilon})$ be a sequence of renormalized solutions of \eqref{e3.4}, 
and let $v_{\epsilon}=u_{\epsilon}-g_{\epsilon}$. Then there exists $C> 0$ such that
\begin{equation} \label{e5.4}
\begin{gathered}
\| u_{\epsilon}\|_{L^{\infty}(0,T;L^{1}(\Omega))} \leq C, \quad
 \int_Q|\nabla T_k(u_{\epsilon})|^pdx\,dt \leq Ck,  \\
\| v_{\epsilon}\|_{L^{\infty}(0,T;L^{1}(\Omega))} \leq C,\quad
\int_Q|\nabla T_k(v_{\epsilon})|^pdx\,dt \leq C(k+1),
\end{gathered}
\end{equation}
for every $\epsilon$ and for every $k>0$. Moreover there exists a 
subsequence, still denoted by $u_{\epsilon}$ (resp $v_{\epsilon}$) and
 a measurable function $u$ (resp $v$) such that the following convergence hold.
\begin{itemize}
 \item[(i)] $u_{\epsilon}$ (resp $(v_{\epsilon})$) converges to $u$ (resp $v$) 
a.e. in $Q$;

 \item[(ii)] $u$ (resp $v$) belongs to $L^{\infty}(0,T;L^{1}(\Omega))$ and 
for every $k>0$, the sequence $(T_k(u_{\epsilon}))$ (resp $T_k(v_{\epsilon})$) 
converges to $T_k(u)$ (resp $T_k(v)$) $\in L^p(0,T;W^{1,p}_0(\Omega))$
in the weak topology of $L^p(0,T;W^{1,p}_0(\Omega))$;

 \item[(iii)] $\nabla u_{\epsilon}$ (resp $(\nabla v_{\epsilon})$) converges to 
$\nabla u$ (resp $\nabla v$) a.e. in $Q$;

 \item[(iv)]$a_{\epsilon}(t,x,u_{\epsilon},\nabla u_{\epsilon})$ converges to 
$a_0(t,x,u,\nabla u)$ in the strong topology of the space
$L^{q}(0,T;W^{1,q}_0(\Omega))$ for every $q< p-\frac{N}{N+1}$, while 
$a_{\epsilon}(t,x,u,\nabla T_k(u_{\epsilon}))$ converges to 
$a_0(t,x,u,\nabla T_k(u))$ in the weak topology of $(L^{p'}(Q))^{N}$ 
for every $k>0$.
 \end{itemize}
\end{proposition}

\begin{proof}
\textbf{Step 1.} a priori estimates. Let us choose
$T_k(u_{\epsilon})$ as test function in \eqref{e5.3} and we 
integrate in $]0,t[$ to obtain 
\begin{equation} \label{e5.5}
\begin{aligned}
&\int_{\Omega}\Theta_k(u_{\epsilon}(t))\,dx 
 + \int_0^{t}\int_{\Omega}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
 \nabla T_k(u_{\epsilon})\,dx\,dt \\
&=\int_0^{t}\int_{\Omega}T_k(u_{\epsilon})d\mu_{\epsilon}
 +\int_{\Omega}\Theta_k(u_{0,\epsilon})\,dx
\end{aligned}
\end{equation}
using \eqref{e3.1} and the fact that $\| u_{0,\epsilon}\|_{L^{1}(\Omega)}$ 
and $\| \mu_{\epsilon}\|_{L^{1}(Q)}$ are bounded:
\[ 
\int_{\Omega}\Theta_k(u_{\epsilon})(t)\,dx
 +\int_0^{t}\int_{\Omega}\vert \nabla T_k(u_{\epsilon})\vert^pdx\,dt \leq Ck
\]
Since $\Theta_k(s)\geq 0$ and $\vert \Theta_1(s)\vert \geq \vert s\vert-1$,
 we obtain
\[
\int_{\Omega}\vert u_{\epsilon}(t)\vert\,dx 
+ \int_0^{t}\int_{\Omega}\vert \nabla T_k(u_{\epsilon})\vert^pdx\,dt\leq C(k+1),
\quad \forall k>0,\forall t\in [0,T]. 
\]
Taking the supremum on $(0,T)$. As a consequence we obtain the estimate of
$u_{\epsilon}$ in $L^{\infty}(0,T;L^{1}(\Omega))$
\[ 
\| u_{\epsilon}\|_{L^{\infty}(0,T;L^{1}(\Omega))}\leq C, 
\]
 We repeat here the same argument to get the estimate on $v_{\epsilon}$: 
let us choose $T_k(v_{\epsilon})$ as test function in \eqref{e5.3}.
 by integration by parts (recall that $g_{\epsilon}$ has compact support 
in $Q$, so that $(v_{\epsilon}(0)=u_{\epsilon}(0)=u_{0,\epsilon})$) 
and using \eqref{e3.1}
\begin{align*}
&\int_{\Omega}\Theta(v_{\epsilon})(t)\,dx
 +\alpha\int_0^{t}\int_{\Omega}|\nabla u_{\epsilon}|^p
\chi_{\{ |v_{\epsilon}\leq k|\}}\,dx\,ds\\
&\leq \int_{\Omega}\Theta_k(u_{0,\epsilon})\,dx
 +\int_Qf_{\epsilon}T_k(v_{\epsilon})\,dx\,dt
 +\int_0^{t}\int_{\Omega}G_{\epsilon}\cdot\nabla u_{\epsilon}
 \chi_{\{|v_{\epsilon}\leq k|\}}dx ds\\
&\quad-\int_0^{t}\int_{\Omega}G_{\epsilon}\cdot\nabla g_{\epsilon}
 \chi_{\{ |v_{\epsilon}\leq k|\}}dx ds
 +\int_0^{t}\int_{\Omega} a(s,x,u_{\epsilon},\nabla u_{\epsilon})
 \nabla g_{\epsilon} \chi_{\{|v_{\epsilon}|\leq k\}}ds ds\\
&\quad +\int_QT_k(v_{\epsilon})d\lambda_{\epsilon}^{\oplus}
 -\int_Q T_k(v_{\epsilon})d\lambda_{\epsilon}^{\ominus}.
\end{align*}
thanks to \eqref{e3.2} and young's inequality,
\begin{align*}
&\int_{\Omega}\Theta(v_{\epsilon})(t)\,dx
 +\frac{\alpha}{2}\int_0^{t}\int_{\Omega}|\nabla u_{\epsilon}|^p
 \chi_{\{ |v_{\epsilon}\leq k|\}}\,dx\,ds \\
&\leq \int_Q|f_{\epsilon}|dx\,dt
   +C\int_Q|G_{\epsilon}|^{p'}dx\,dt 
 + C\int_Q|\nabla g_{\epsilon}|^pdx\,dt \\
&\quad + C\int_Q|b(t,x)|^{p'}dx\,dt + k\int_{\Omega}|u_{0,\epsilon}|dx
 +k\int_Qd\lambda_{\epsilon}^{\oplus} + k\int_Qd\lambda_{\epsilon}^{\ominus}.
\end{align*}
Using that $G_{\epsilon}$ is bounded in $L^{p'}(Q)$, 
$g_{\epsilon}$ is bounded in $L^p(0,T;W^{1,p}_0(\Omega))$, $f_{\epsilon}$, 
$\lambda_{\epsilon}^{\oplus}$ and $\lambda_{\epsilon}^{\ominus}$ are bounded 
in $L^{1}(Q)$ and $u_{0,{\epsilon}}$ is bounded in $L^{1}(\Omega)$, we have
\[ 
\int_{\Omega}\Theta_1(v_{\epsilon})\,dx \leq C\quad \forall t\in [0,T],
\]
In this way the same estimate of $u_{\epsilon}$ follows for $v_{\epsilon}$ 
in $L^{\infty}(0,T;L^{1}(\Omega))$:
\begin{gather*}
\| v_{\epsilon}\|_{L^{\infty}(0,T;L^{1}(\Omega))}\leq C, \\
\int_Q|\nabla u_{\epsilon}|^p\chi_{\{|v_{\epsilon}|\leq k\}}dx\,dt\leq C(k+1),
\end{gather*}
which yields that $T_k(v_{\epsilon})$ is bounded in $L^p(0,T;W^{1,p}_0(\Omega))$ 
for any $k>0$ (recall that $g_{\epsilon}$ itself is bounded in 
$L^p(0,T;W^{1,p}_0(\Omega))$). Then
\[
\int_Q|\nabla T_k(v_{\epsilon})|^pdx\,dt\leq C(k+1).
\]


\noindent\textbf{Step 2.} Up to a subsequence, $u_{\epsilon}$ is a Cauchy 
sequence in measure.
We are going to prove now that, up to subsequences, $u_{\epsilon}$ converges 
almost everywhere in $Q$ towards a measurable function $u$. 
Lemma \ref{lem5.1} gives the usual estimates for parabolic equation with measure data, 
that is to say $u_{\epsilon}$ is bounded in $L^{q}(0,T;W^{1,q}_0(\Omega))$ 
for every $q<p-\frac{N}{N+1}$ and in $L^{\infty}(0,T;L^{1}(\Omega))$, 
for which we can deduce that
\[
\lim_{k\to +\infty} \operatorname{meas}\{ (x,t)\in Q: |u_{\epsilon}|>k\}=0 
\quad \text{uniformly with respect to } u. 
\]
From \eqref{e5.4} we have that $T_k(u_{\epsilon})$ is bounded in
 $L^p(0,T;W^{1,p}_0(\Omega))$ for every $k>0$. Now, if we multiply the 
approximating equation by $\mathcal{T}'_k(v_{\epsilon})$, where 
$\mathcal{T}_k(s)$ is a $C^{2}(\mathbb{R})$, nondecreasing function such that 
$\mathcal{T}_k(s)=s$ for $|s|\leq \frac{k}{2}$ and $\mathcal{T}_k(s)=k$ 
for $|s|>k$, we obtain
\begin{align*}
&(\mathcal{T}_k(v_{\epsilon}))_{t} - \operatorname{div}(a(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\mathcal{T}'_k(v_{\epsilon}))
 + a(x,t,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla v_{\epsilon}
 \mathcal{T}''_k(v_{\epsilon})\\
&=\mathcal{T}'_k(v_{\epsilon})f_{\epsilon}+\mathcal{T}''_k(v_{\epsilon})
 G_{\epsilon}\cdot\nabla v_{\epsilon}- \operatorname{div}
 (G_{\epsilon}\mathcal{T}'_k(v_{\epsilon}))+(\lambda_{\epsilon}^{\oplus}
 -\lambda_{\epsilon}^{\ominus})\mathcal{T}'_k(v_{\epsilon}).
\end{align*}
in the sense of distributions. This implies, thanks to the last equality 
and to the fact that $\mathcal{T}'_k$ has compact support, that 
$\mathcal{T}_k(v_{\epsilon})$ is bounded in $L^p(0,T;W^{1,p}_0(\Omega))$ 
while its time derivative $(\mathcal{T}_k(v_{\epsilon}))_{t}$ is bounded in 
$L^p(0,T;W^{-1,p'}(\Omega))+L^{1}(Q)$, hence a classical compactness result 
(see \cite{Si}) allows us to conclude that $\mathcal{T}_k(v_{\epsilon})$ 
is compact in $L^{2}(Q)$. Thus for a subsequence, it also converges in 
measure, and almost everywhere in $Q$. Since we have, for $\sigma>0$,
\begin{align*}
&\operatorname{meas}\{ (x,t): |v_n-v_{m}|>\sigma\} \\
&\leq \operatorname{meas}\{ (x,t): |v_n|>\frac{k}{2}\}
 +\operatorname{meas}\{ (x,t): |v_n|>\frac{k}{2}\} \\
&\quad +\operatorname{meas}\{ (x,t): |\mathcal{T}_k(v_n)-\mathcal{T}_k(v_{m})|>\sigma,\}
\end{align*}
by \eqref{e5.4} for every fixed $\epsilon>0$ we can choose $\overline{k}$ 
large enough to have
\begin{equation} \label{e5.6}
\operatorname{meas}\{ (x,t): |v_n-v_{m}|>\sigma\} 
\leq \operatorname{meas}\{ (x,t):|\mathcal{T}_k(v_n)
 -\mathcal{T}_{\overline{k}}(v_{m})|>\sigma\}+\epsilon, 
\end{equation}
for all $n,m\in \mathbb{N}$.
The fact that $\mathcal{T}_k(v_{\epsilon})$ converges in measure for every 
$k>0$ implies, using \eqref{e2.8}, that, up to subsequences, 
$v_{\epsilon}$ also converges in measure and almost everywhere in $Q$. 
In particular, we have found out that there exists a measurable function 
$v$ in $L^{\infty}(0,T;L^{1}(\Omega))\cap L^{q}(0,T;W^{1,q}_0(\Omega))$ 
for every $q<p-\frac{N}{N+1}$ such that $T_k(v)$ belongs to 
$L^p(0,T;W^{1,p}_0(\Omega))$ for every $k>0$, and for a subsequences, 
not relabeled,
\[ 
T_k(v_{\epsilon})\to T_k(v)\text{ weakly in }L^p(0,T;W^{1,p}_0(\Omega)), 
\text{ strongly in }L^p(Q)\text{ and a.e. in }Q.
 \]
We deduce that
\[ 
v_{\epsilon}\to v \text{ a.e. in }Q,
\]
and since $g_{\epsilon}$ strongly converges to $g$ in $L^p(0,T;W^{1,p}_0(\Omega))$, 
there exists a measurable function $u$ such that
\[
u_{\epsilon}\to u\text{ a.e. in }Q, 
\]
The estimate \eqref{e5.4} also imply that $u\in L^{\infty}(0,T;L^{1}(\Omega))$. 
Indeed, using Fatou's Lemma on the first term of the left-hand of
\[
\int_{\Omega}\vert u_{\epsilon}(t)\vert\,dx 
+ \int_0^{t}\int_{\Omega}\vert \nabla T_k(u_{\epsilon})\vert^pdx\,dt\leq C(k+1), 
\quad \forall k>0,\forall t\in [0,T].
 \]
where
\[ 
T_k(u_{\epsilon})\rightharpoonup T_k(u)\quad \text{weakly in }L^p(0,T;W^{1,p}_0(\Omega)) 
\]
and in addition
\begin{equation} \label{e5.7}
 \int_Q|\nabla T_k(u)|^pdx\,dt \leq Ck,\quad\int_Q|\nabla T_k(v)|^pdx\,dt \leq C(k+1),
\end{equation}
that is property (ii) holds.
\smallskip

\noindent\textbf{Step 3.}
 $\nabla u_{\epsilon}$ is a Cauchy sequence in measure.
Let us show that $\nabla u_{\epsilon}$ is a Cauchy sequence in measure,
 which will yields $\nabla u_{\epsilon}\to \nabla u$ almost everywhere, 
for a convenient subsequence. Given $\delta>0$ for every $\eta>0$ and $k>0$ one has
\begin{equation} \label{e5.8}
\begin{aligned}
&\{ (t,x), |\nabla u_n-\nabla u_{m}|\geq \delta\} \\
&\subseteq \{ (t,x),|u_n|>k\}\cup\{ (t,x),|u_{m}|>k\}\\
&\quad \cup \{ (t,x),|\nabla u_n|>k\}\cup \{ (t,x),|\nabla u_{m}|>k\}
 \cup\{ (t,x),|u_n-u_{m}|>\eta\}\\
&\quad \cup\big\{(t,x),|\nabla u_n-\nabla u_{m}|\geq \delta, 
 |u_n\leq k|, |\nabla u_n|\leq k,\\
&\quad\quad |u_n|\leq k, |\nabla u_{m}|\leq k, |u_n-u_{m}|\leq \eta \big\}.
\end{aligned}
\end{equation}
We will denote $A_1$ to $A_6$ the six sets of the right hand side.
 One could remark, in the sequel of the proof, that only the upper bound of 
the measure of $A_6$ uses the equation of which $u_n$ and $u_{m}$ are solutions. 
The other bounds use the boundedness of $(u_n)$ and $(\nabla u_n)$.

Let us bound $\operatorname{meas}(A_1)$ and $\operatorname{meas}(A_2)$, we have
\[ 
k\operatorname{meas}(A_1)\leq \int_{A_1}|\nabla u_n|dx\,dt
\leq \int_0^{T}\int_{\Omega}|\nabla u_n|\,dx\,dt
\]
hence
\[ 
\operatorname{meas}(A_1)\leq \frac{1}{k}\int_0^{T}\int_{\Omega}|\nabla u_n|dx\,dt
\leq \frac{C}{k}\leq \varepsilon,
\]
for $k$ large enough, because $(\nabla u_n)$ is bounded in $L^{q}((0,T)\times\Omega)$ 
for $q<p-\frac{N}{N+1}$ and hence in $L^{1}((0,T)\times\Omega)$. 
Let us fix $k$ such that
\[
\operatorname{meas}(A_1) \leq \varepsilon \quad\text{and}\quad 
\operatorname{meas}(A_2)\leq \varepsilon \quad\text{ for all }n,m\in \mathbb{N},
\]
Now let us bound $\operatorname{meas}(A_3)$, we have $(u_n)$ is a Cauchy
sequence in $L^{1}((0,T)\times\Omega)$ hence for a given $n$, there exist 
$n_0$ such that for $n,m\geq n_0$ one has
\[
\operatorname{meas}(A_3)\leq \varepsilon
\]
it is now sufficient to bound $\operatorname{meas}(A_4)$, and to  choose $\eta$.
 Thanks to the monotonicity of $A$, we have 
$[a(t,x,s,\zeta_1)-a(t,x,s,\zeta_2)](\zeta_1-\zeta_2)>0$ for
$\zeta_1-\zeta_2\neq 0$. Since the set of $(\zeta_1,\zeta_2)$ such that:
$\{ (t,x),|s|\leq k, |\zeta_1|\leq k,|\zeta_2|\leq k$ and
$|\zeta_1-\zeta_2|\geq \delta\}$ is compact and $a$ is continuous
 with respect to $\zeta$ for almost all $t$ and $x$, 
$[a(t,x,s,\zeta_1)-(a(t,x,s,\zeta_2)](\zeta_1-\zeta_2)$
reaches on this compact its minimum that we will denotes $\gamma(t,x)$, 
and that verifies $\gamma(t,x)>0$ a.e. Since $\gamma(t,x)>0$ a.e., there 
exists $\epsilon'>0$ such that, for all measurable set
 $A\subset(0,T)\times\Omega$,
\[ 
\int_{A}\gamma \leq \varepsilon'\Longrightarrow 
\operatorname{meas}(A)\leq \varepsilon 
\]
hence, to obtain $\operatorname{meas}(A_4)\leq \varepsilon$, it is sufficient
to show that
\begin{equation} \label{e5.9}
\int_{A_4}\gamma \leq \varepsilon'
\end{equation}
By definition of $\gamma$ and $A_4$, we have
\[ 
\int_{A_4}\gamma \leq\int_{A_4}(a(t,x,u_n,\nabla u_{m})-a(t,x,u_{m},\nabla u_{m}))
(\nabla u_n-\nabla u_{m})\chi_{\{|u_n-u_{m}|\leq \eta\}}. 
\]
Moreover the term to be integrated is non negative and 
$\nabla T_{\eta}(u_n-u_{m})=(\nabla u_n-\nabla u_{m})\chi_{\{|u_n-u_{m}|\leq \eta\}}$,
 hence we have
\[
\int_{A_4}\gamma \leq \int_0^{T}(a(t,x,u_n,\nabla u_n)-a(t,x,u_{m},\nabla u_{m}))
\cdot\nabla T_{\eta}(u_n-u_{m}), 
\]
if one chooses
 $\varphi=T_{\eta}(u_n-u_{m})\in L^p(0,T;W^{1,p}(\Omega))
\cap L^{\infty}(0,T;L^{1}(\Omega))$, which satisfies 
$T_{\eta}(u_n-u_{m})_{t}\in L^{p'}(]0,T[;W^{-1,p'}(\Omega))$, 
in equation in the sense of distributions written successively with $u_n$ 
and $u_{m}$ one gets
\begin{align*}
&\int_0^{T}\langle (u_n-u_{m})_{t},T_{\eta}(u_n-u_{m})\rangle\\
&+\int_0^{T}\int_{\Omega}(a(t,x,u_n,\nabla u_n)-a(t,x,u_{m},\nabla u_{m}))\nabla T_{\eta}(u_n-u_{m})\\
&=\int_0^{T}\int_{\Omega}(\mu_n-\mu_{m})T_{\eta}(u_n-u_{m}).
\end{align*}
that is (using $\Theta_{\eta}$ the primitive of $T_{\eta}$)
\begin{align*}
&\int_{\Omega}\Theta_{\eta}(u_n-u_{m})(T)-\int_{\Omega}\Theta_{\eta}(u_n-u_{m})(0)\\
&+\int_0^{T}\int_{\Omega}(a(t,x,u_n,\nabla u_n)-a(t,x,u_{m},\nabla u_{m}))
 \nabla T_{\eta}(u_n-u_{m})\\
&=\int_0^{T}\int_{\Omega}(\mu_n-\mu_{m})T_{\eta}(u_n-u_{m})
\end{align*}
Since the first term is non-negative ($\Theta_{\eta}(x)\geq 0$), and 
$\Theta_{\eta}(x)\leq \eta|x|$ one has
\begin{align*}
&\int_0^{T}\int_{\Omega}(a(t,x,u_n,\nabla u_n)-a(t,x,u_{m},\nabla u_{m}))
 \cdot\nabla T_{\eta}(u_n-u_{m})\\
&\leq \eta\int_0^{T}\int_{\Omega}|\mu_n-\mu_{m}|+\eta\int_{\Omega}|u_0^n-u_0^{m}| \\
&\leq 2\eta(\| \mu(Q)\|+\| u_0\|_{1,\Omega})\,.
\end{align*}
Then for $\eta$ small enough, one has $\int_{A_4}\gamma\leq\varepsilon'$
and thus $\operatorname{meas}(A_4)\leq\varepsilon$ and therefore for all
$n,m\geq n_0$ we have
\[ 
\operatorname{meas}(\{ |(\nabla u_n-\nabla u_{m})(x)|\geq\delta\})
\leq 4\varepsilon,
\]
thus, we obtain that $\nabla u_{\epsilon}$ is a Cauchy sequence in measure. 
Passing to a subsequence, we assume that
\[ 
\nabla u_{\epsilon}\to \nabla u\quad \text{almost everywhere in  }Q.
\]
Similarly, we obtain the convergence a.e of $v_{\epsilon}$, this gives
\[ 
\nabla v_{\epsilon}\to\nabla v \text{  almost everywhere in  }Q.
\]
that is property (iii) holds.

It remains to prove (iv). By \eqref{e5.5}, Lemma \ref{lem5.1}, and \eqref{e2.2},
 $a(t,x,u_{\epsilon},\nabla u_{\epsilon})$ is bounded in 
$L^{q}(0,T;W^{1,q}_0(\Omega))$ for every $q<p-\frac{N}{N+1}$. 
Moreover, by \eqref{e3.1}, (i) and (iii), 
$a_{\epsilon}(t,x,u_{\epsilon},\nabla u_{\epsilon})$
 converges to $a_0(t,x,u,\nabla u)$ a.e. in $Q$. Hence by Vitali's Theorem,
 we have that $a_{\epsilon}(t,x,u_{\epsilon},\nabla u_{\epsilon})$ 
converges to $a_0(t,x,u,\nabla u)$ in the strong topology of  
$L^{q}(0,T;W^{1,q}_0(\Omega))$, $1\leq q<p-\frac{N}{N+1}$. 
Finally, by (ii) and \eqref{e2.2}, the sequence 
$(a_{\epsilon}(t,x,u_{\epsilon},\nabla T_k(u_{\epsilon}))$ is bounded in 
$L^{p'}(Q)$, which easily implies that it converges to 
$a_0(t,x,u,\nabla T_k(u))$ in the weak topology of $L^{p'}(Q)$.
\end{proof}

\section{Proof of Theorem \ref{thm3.5}}

At this point we have a subsequence $(u_{\epsilon})$ of renormalized solutions 
to \eqref{e3.4} and a measurable function $u$ with 
$T_k(u)\in L^p(0,T;W^{1,p}_0(\Omega))\cap L^{\infty}(0,T;L^{1}(\Omega))$ 
such that all the convergences stated in Proposition \ref{prop5.2} hold. 
We have to prove that the function $u$ is a renormalized solution to \eqref{e3.5}. 
By Proposition \ref{prop5.2} (ii) condition (a) of Definition \ref{def2.1} 
is satisfied, while by \eqref{e5.7} and Lemma \ref{lem5.1}, we obtain that 
$u$ satisfies condition \eqref{e2.7} of Definition \ref{def2.1}. 
Hence, it is enough to prove \eqref{e2.8}. Let $S\in W^{2,\infty}(\mathbb{R})$, 
and let $\varphi\in C^{1}_0([0,T]\times \Omega)$.
 We choose $S'(v_{\epsilon})\varphi$ as test function in the equation solved 
by $u_{\epsilon}$, obtaining
\begin{equation} \label{e6.1}
\begin{aligned}
&-\int_{\Omega}S(u_{0,\epsilon})\varphi(0)\,dx 
 -\int_0^{T}\langle\varphi_{t},S(v_{\epsilon})\rangle 
 + \int_QS'(v_{\epsilon})a_{\epsilon}(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\cdot\nabla \varphi\,dx\,dt \\
&+\int_QS''(v_{\epsilon})a_{\epsilon}(t,x,u_{\epsilon},\nabla v_{\epsilon})
 \cdot\nabla v_{\epsilon}\varphi\,dx\,dt \\
&=\int_QS'(v_{\epsilon})\varphi d\hat{\mu}_{\epsilon}
 +\int_QS'(v_{\epsilon})\varphi d\lambda_{\epsilon}^{\oplus}
 -\int_QS'(v_{\epsilon})\varphi d\lambda_{\epsilon}^{\ominus}.
 \end{aligned}
\end{equation}

 As $supp (S')\subset [-M,M]$, we have
\[ 
\int_Qa_{\epsilon}(x,t,u_{\epsilon},\nabla u_{\epsilon})
 \cdot\nabla v_{\epsilon}S''(v_{\epsilon})\varphi\,dx\,dt
 =\int_Qa_{\epsilon} (x,t,u_{\epsilon},\nabla T_{M}(v_{\epsilon})\varphi)\,dx\,dt
\]
To pass to the limit in this term, we need the following improvement of 
Proposition \ref{prop5.2} (ii).

 \begin{proposition}\label{prop6.1}
 Let $(a_{\epsilon}),a_0$ be functions satisfying $H(c_0,c_1,c_2,b_0)$ and
\eqref{e3.1}. Let $\mu\in \mathcal{M}_b(Q)$ be fixed, and 
$\mu=f+F+g_{t}+\mu_{s}$, $f\in L^{1}(Q)$, $F\in L^{p'}(0,T;W^{-1,p'}(\Omega))$, 
$\mu_{s}\in \mathcal{M}_{s}(Q)$. Assume that $(\mu_{\epsilon})$ is a sequence 
of measures in $\mathcal{M}_b(Q)$ having a splitting 
$(f_{\epsilon},F_{\epsilon},g_{t,\epsilon},\lambda_{\epsilon}^{\oplus},
\lambda_{\epsilon}^{\ominus})$ which converges to $\mu$.
Let $(u_{\epsilon})$ a sequence of renormalized solutions of \eqref{e3.4}, 
and let $u$ be its limit in the sense of Proposition \ref{prop5.2}. 
Then for every $k>0$ the sequence $(T_k(u_{\epsilon}))$ converges strongly in 
$L^p(0,T;W^{1,p}_0(\Omega))$ to $T_k(u)$ as $\epsilon$ goes to 0.
 \end{proposition}

\begin{proof}
It is sufficient to follow the lines of the long and not easy proof of the 
same result, for a fixed operator independent of $u$, for the elliptic case 
in \cite[sections 5--8]{DMOP},
 for the parabolic case in \cite[section 7]{Pe2}. 
The assumptions on $a_{\epsilon}$ allow to obtain some estimates for varying 
operators explicitly depending on $u$.

For any $\delta,\eta >0$, let $\psi_{\delta}^{+},\psi_{\eta}^{+},\psi_{\delta}^{-}$ 
and $\psi_{\eta}^{-}$ as in Lemma \ref{lem4.3} and let $E^{+}$ and $E^{-}$ 
be the sets where, respectively, $\mu_{s}^{+},\mu_{s}^{-}$ are concentrated; setting
\[ 
\Phi_{\delta ,\eta}=\psi_{\delta}^{+}\psi_{\eta}^{+}+\psi_{\delta}^{-}\psi_{\eta}^{-}.
\]
Suppose that, the estimate near $E$,
\begin{equation} \label{e6.2}
I_1= \int_{\{|v_{\epsilon}|\leq k\}}\Phi_{\delta,\eta} 
a(x,t,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla (v_{\epsilon}
-T_k(v)_{\nu})\leq \omega (\epsilon,\nu,\delta,\eta),
\end{equation}
and far from $E$,
\begin{equation} \label{e6.3}
I_2=\int_{\{|v_{\epsilon}|\leq k\}}(1-\Phi_{\delta,\eta})
a(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla (v_{\epsilon}
-T_k(v)_{\nu})\leq \omega (\epsilon,\nu,\delta,\eta).
\end{equation}
Putting these statements together we obtain
\begin{equation} \label{e6.4}
\limsup_{ \nu\to 0\,,\epsilon\to 0} 
\int_{\{|v_{\epsilon}|\leq k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (v_{\epsilon}-T_k(v)_{\nu}) \leq 0,
\end{equation}
so that using the convergence of $(T_k(v)_{\nu})$ to $T_k(v)$ in $X$ we deduce
\begin{equation} \label{e6.5}
\limsup_{\epsilon\to 0} \int_{\{|v_{\epsilon}|\leq k\}}a(t,x,u_{\epsilon},
\nabla u_{\epsilon})\cdot\nabla (v_{\epsilon}-T_k(v))\leq 0,
\end{equation}
since by the weak convergence of  $T_k(v_{\epsilon})$ to $T_k(v)$ in $X$, 
Proposition \ref{prop5.2} implies that
\begin{equation} \label{e6.6}
\int_{\{ |v_{\epsilon}|\leq k\}}a(t,x,u,\nabla (T_k(v)+g_{\epsilon}))
\cdot\nabla (T_k(v_{\epsilon})-T_k(v))=\omega(\epsilon).
\end{equation}
then we obtain
\[ 
\int_{\{ |v_{\epsilon}|\leq k \}}(a(t,x,u_{\epsilon},\nabla u_{\epsilon})
- a(t,x,u,\nabla (T_k(v)+g_{\epsilon})))\cdot\nabla (u_{\epsilon}
-(T_k(v)+g_{\epsilon}))=\omega(\epsilon). 
\]
we also have, using the convergence of $\nabla u_{\epsilon}$ to $\nabla u$ 
a.e. in $Q$
\begin{equation} \label{e6.7}
(a(t,x,u_{\epsilon},\nabla u_{\epsilon}))\rightharpoonup a(t,x,u,\nabla u) 
\quad \text{in }(L^{p'}(Q))^{N},
\end{equation}
then we obtain
\[
\limsup_{\epsilon\to 0}  \int_Q a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla T_k(v_{\epsilon})\leq \int_Q a(t,x,u,\nabla u)\cdot\nabla T_k(v).
\]
so that by Proposition \ref{prop5.2}, since  
$(a(t,x,u_{\epsilon},\nabla (T_k(v_{\epsilon}+g_{\epsilon}))$
 converges weakly in $(L^{p'}(Q))^{N}$ to some $F_k$, it follows that
$F_k=a(t,x,u,\nabla(T_k(u)+g))$. We get
\begin{align*}
&\limsup_{\epsilon\to 0}  \int_Qa(t,x,u_{\epsilon},\nabla (T_k(v_{\epsilon})
 +g_{\epsilon}))\cdot\nabla (T_k(v_{\epsilon})+g_{\epsilon})\\
&\leq \limsup_{\epsilon\to 0} \int_Qa(t,x,u_{\epsilon},\nabla v_{\epsilon})
 \cdot\nabla T_k(v_{\epsilon})
 + \limsup_{\epsilon\to 0} \int_Qa(t,x,\nabla (T_k(v_{\epsilon})
 +g_{\epsilon}))\cdot\nabla g_{\epsilon}\\
&\leq \int_Qa(t,x,u,\nabla (T_k(v)+h))\cdot\nabla (T_k(v)+g).
\end{align*}
We finally deduce
\begin{equation} \label{e6.8}
(T_k(v_{\epsilon}))\quad \text{converges to $T_k(v)$ strongly in $X$ for all }
 k>0.
\end{equation}
\end{proof}

The next Lemma is devoted to establish the preliminary essential estimate.

\begin{lemma}\label{lem6.2}
Near $E$ we have the estimate
\[ 
I_1=\int_{\{ |v_{\epsilon}|\leq k\}} \Phi_{\delta,\eta}a(t,x,u_{\epsilon},
\nabla u_{\epsilon})\cdot\nabla (v_{\epsilon}-T_k(v)_{\nu})
\leq \omega (\epsilon,\nu,\delta,\eta).
\]
\end{lemma}

\begin{proof}
We have
\[ 
I_1=\int_Q\Phi_{\delta,\eta}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla T_k(v_{\epsilon})- \int_{\{|v_{\epsilon}|\leq k\}} 
\Phi_{\delta,\eta} a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (T_k(v))_{\nu}. 
\]
so that, from Proposition \ref{prop5.2} (iv) and since 
$a(t,x,u_{\epsilon},\nabla T_k(v_{\epsilon})+g_{\epsilon})\nabla T_k(v)_{\nu}$ 
converges weakly in $L^{1}(Q)$ to $F_k\nabla (T_k(v))_{\nu}$, 
$\chi_{\{ |v_{\epsilon}|\leq k\}}$ converges to $\chi_{\{ |v|\leq k\}}$ 
a.e in $Q$, $\Phi_{\delta,\eta}$ converges to 0 a.e. in $Q$ as $\delta\to 0$ 
and $\Phi_{\delta,\eta}$ takes its values in $[0,1]$, using Lemma \ref{lem4.1}, 
we have the first integral
\begin{align*}
&\int_{\{ |v_{\epsilon}|\leq k\}}\Phi_{\delta,\eta}a(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\cdot\nabla (T_k(v))_{\nu} \\
&=\int_Q \chi_{\{|v_{\epsilon}|\leq k\}}\Phi_{\delta,\eta}a(t,x,u_{\epsilon},
 \nabla (T_k(v_{\epsilon})+g_{\epsilon}))\cdot\nabla (T_k(v))_{\nu}\\
&=\int_Q\chi_{\{ |v|\leq k\}}\Phi_{\delta,\eta}F_k\cdot\nabla (T_k(v))_{\nu}
 +\omega(\epsilon)\\
&=\omega(\epsilon,\nu,\delta).
\end{align*}
To obtain the second integral, we set, for any $n>k>0$, and any $s\in \mathbb{R}$
\[ 
\hat{S}_{n,k}(s)=\int_0^{s}(k-T_k(r))H_n(r)dr
 \]
where $H_n$ is defined at Remark \ref{rmk3.2}. We take
 $(S,\varphi)=(\hat{S}_{n,k},\psi_{\delta}^{+}\psi_{\eta}^{+})$ 
as test function in \eqref{e6.1}, and we obtain
\[
A_1+A_2+A_3+A_4+A_5+A_6=0,
\]
where
\begin{gather*}
A_1=-\int_Q(\psi_{\delta}^{+}\psi_{\eta}^{+})_{t}\hat{S}_{n,k}(v_{\epsilon})\,dx\,dt,\\
A_2=\int_Q(k-T_k(v_{\epsilon})) H_n(v_{\epsilon}) a(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\cdot\nabla (\psi_{\delta}^{+}\psi_{\eta}^{+})\,dx\,dt ,\\
A_3=-\int_Q\psi_{\delta}^{+}\psi_{\eta}^{+} a(t,x,u_{\epsilon},\nabla u_{\epsilon})
 \cdot\nabla T_k(v_{\epsilon})\,dx\,dt,\\
A_4=\frac{2k}{n}\int_{\{ -2n< v_{\epsilon}\leq -n\}} \psi_{\delta}^{+}
 \psi_{\eta}^{+}a(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla v_{\epsilon}
 \,dx\,dt, \\
A_5=-\int_Q(k-T_k(v_{\epsilon})) H_n(v_{\epsilon})\psi_{\delta}^{+}\psi_{\eta}^{+}
 d\hat{\mu}_{0,\epsilon} ,\\
A_6=\int_Q(k-T_k(v_{\epsilon}))H_n(v_{\epsilon})\psi_{\delta}^{+}\psi_{\eta}^{+}
 d(\lambda_{\epsilon}^{\oplus}+\lambda_{\epsilon}^{\ominus}) 
\end{gather*}
Therefore, as in \cite{Pe2}, using the fact that $(\hat{S}_{n,k}(v_{\epsilon}))$ 
weakly converges to $\hat{S}_{n,k}(v)$  in $X$, 
$\hat{S}_{n,k}(v)\in L^{\infty}(Q)$ and \eqref{e4.6} we obtain
\[ 
A_1 =-\int_Q(\psi_{\delta}^{+})_{t}\psi_{\eta}^{+}\hat{S}_{n,k}(v)
-\int_Q\psi_{\delta}^{+}(\psi_{\eta}^{+})_{t}\hat{S}_{n,k}(v)
+ \omega(\epsilon)=\omega(\epsilon,\delta).
\]
Now since $v_{\epsilon}=T_{2n}(v_{\epsilon})$ on 
$\operatorname{supp}(H_n(v_{\epsilon}))$ it follows from
 Proposition \ref{prop5.2}, (iv) 
that sequence $(a(t,x,u_{\epsilon},\nabla (T_{2n}(v_{\epsilon})+g_{\epsilon})))
\cdot\nabla (\psi_{\delta}^{+}\psi_{\eta}^{+})$ weakly converges to 
$F_{2n}\cdot\nabla(\psi_{\delta}^{+}\psi_{\eta}^{+})$ in $L^{1}(Q)$. 
From Lemma \ref{lem4.1} and the convergence of $\psi_{\delta}^{+}\psi_{\eta}^{+}$
 in $X$ 
to 0 as $\delta$ tends to 0, we obtain
\[
A_2=\int_Q(k-T_k(v_{\epsilon}))H_n(v_{\epsilon})F_{2n}\cdot\nabla 
(\psi_{\delta}^{+}\psi_{\eta}^{+})+ \omega(\epsilon)=\omega(\epsilon,\delta). 
\]
Because $0\leq \psi_{\delta}^{+}\leq 1$ (resp $0\leq \psi_{\delta}^{-}\leq 1$). 
we then deduce
\begin{align*}
A_4 
&= \frac{2k}{n}\int_{-2n< v_{\epsilon}\leq -n} a(t,x,u_{\epsilon},
 \nabla (T_{2n}(v_{\epsilon})+g_{\epsilon}))\cdot \nabla (T_{2n}(v_{\epsilon})
 +g_{\epsilon}) \\
&\quad -\nabla g_{\epsilon}] \psi_{\delta}^{+}\psi_{\eta}^{+}\,dx\,dt\\
&\leq \frac{2k}{n} \int_{\{ -2n<v_{\epsilon}\leq -n\}} a(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\cdot\nabla v_{\epsilon}\psi_{\eta}^{+}\,dx\,dt 
+ \omega (\epsilon,\delta,n).
\end{align*}
Therefore Lemma \ref{lem4.2}  implies
\[ 
A_4 = \omega(\epsilon,\delta,n,\eta).
\]
From the weak convergence of 
$((k-T_k(v_{\epsilon}))H_n(v_{\epsilon})\psi_{\delta}^{+}\psi_{\eta}^{+})$ 
to $(k-T_k(v))H_n(v)\psi_{\delta}^{+}\psi_{\eta}^{+}$ in $X$ and of the 
weak\_* convergence of $(k-T_k(v_{\epsilon}))H_n(v_{\epsilon})$ to 
$(k-T_k(v))H_n(v)$ in $L^{\infty}(Q)$ and a.e. in $Q$, the weak convergence 
of $(f_{\epsilon})$ to $f$  in $L^{1}(Q)$ and the strong convergence of 
$(g_{\epsilon})$ to $g$ in $(L^{p'}(Q))^{N}$. 
From Lemma \ref{lem4.1} and the convergence of $\psi_{\delta}^{+}\psi_{\eta}^{+}$ 
to 0 in $X$ and a.e. in $Q$ as $\delta\to 0$
\[ 
A_5= \int_Q(k-T_k(v_{\epsilon}))H_n(v)\psi_{\delta}^{+}\psi_{\eta}^{+}
d\hat{\mu}_0+ \omega(\epsilon)=\omega(\epsilon,\delta),
\]
We claim that the last term 
\[ 
A_6 \leq 2k \int_Q\psi_{\delta}^{+}\psi_{\eta}^{+}
d(\lambda_{\epsilon}^{\oplus}+\lambda_{\epsilon}^{\ominus})
= 2k \int_Q\psi_{\delta}^{+}\psi_{\eta}^{+}d(\mu_{s}^{+}+\mu_{s}^{-})
+\omega(\epsilon).
\]
 Indeed,  from Lemma \ref{lem4.2} we have
\[
A_6 \leq \omega(\epsilon,\delta,\eta),
\]
because $A_3$ does not depend on $n$. 
We then deduce from $\sum_{i=1}^6A_i=0$
\[ 
A_3=\int_Q\psi_{\delta}^{+}\psi_{\eta}^{+} a(t,x,u_{\epsilon},
\nabla u_{\epsilon})\cdot\nabla T_k(v_{\epsilon})\leq \omega(\epsilon,\delta,\eta).
\]
Similarly, we take $(S,\varphi)= (\hat{S}_{n,k},\psi_{\delta}^{-}\psi_{\eta}^{-})$ 
as test function in \eqref{e6.1}, where $\hat{S}_{n,k}(s)=-\hat{S}_{n,k}(-s)$,
 we have, as before
\[ 
\int_Q\psi_{\delta}^{-}\psi_{\eta}^{-} a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla T_k(v_{\epsilon})\leq \omega(\epsilon,\delta,\eta).
\]
So that using the two last inequalities we obtain
\[
\int_Q\Phi_{\delta,\eta}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla T_k(v_{\epsilon})\leq \omega (\epsilon,\nu,\delta,\eta).
\]
We finally deduce
\[
I_1= \int_{\{|v_{\epsilon}|\leq k\}}\Phi_{\delta,\eta} 
a(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla (v_{\epsilon}
-T_k(v)_{\nu})\leq \omega (\epsilon,\nu,\delta,\eta).
\]
\end{proof}

\begin{remark} \label{rmk6.3} \rm
Note that:
 It is precisely for this estimate that we need the double cut functions 
$\psi_{\delta}^{+}\psi_{\eta}^{+}$.

This results turns out to hold true even for more general functions 
$\psi_{\eta}^{+}$ and $\psi_{\eta}^{-}$ in $W^{1,\infty}(Q)$, which satisfy
\begin{gather*}
 0\leq \psi_{\eta}^{+}\leq 1, \quad 0\leq \psi_{\eta}^{-}\leq 1, \\
 0\leq \int_Q\psi_{\eta}^{+}d\mu_{s}^{-}\leq \eta, \quad
 0\leq \int_Q\psi_{\eta}^{-}d\mu_{s}^{+}\leq \eta. 
\end{gather*}
\end{remark}

\begin{lemma}\label{lem6.4}
Far from $E$ we have the estimate 
\[ 
I_2=\int_{\{ |v_{\epsilon}|\leq k\}}(1-\Phi_{\delta,\eta})
a(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla (T_k(v_{\epsilon})
-T_k(v)_{\nu}). 
\]
\end{lemma}

\begin{proof}
Now we follow the ideas in \cite{Pe1,Po1},  for any $h>2k>0$, we define
\[
w_{\epsilon}=T_{2k}(v_{\epsilon}-T_{h}(v_{\epsilon})
+T_k(v_{\epsilon})-T_k(v)_{\nu}), 
\]
Note that $\nabla w_{\epsilon}=0$ if $|v_{\epsilon}|>h+4k$. 
As a consequence of the estimate on $T_k(v_{\epsilon})$ in Proposition \ref{prop5.2} 
we have $w_{\epsilon}$ is bounded in $L^p(0,T;W^{1,p}_0(\Omega))$;  
we easily obtain
\[ 
w_{\epsilon}\to T_{2k}(v-T_{h}(v)+T_k(v)-T_k(v)_{\nu})) 
\]
since $\| T_k(v)_{\nu}\|_{L^{\infty}(Q)}\leq k$, we have also
\begin{gather*}
 w_{\epsilon}=2k\text{ sign}(v_{\epsilon}), \text{ in }\{|v_{\epsilon}|>h+2k\},
\quad |w_{\epsilon}|\leq 4k,\quad 
w_{\epsilon}=w(\epsilon,\nu,h)\text{ a.e. in }Q,\\
\lim_{\epsilon} w_{\epsilon}=T_{h+k}(v-(T_k(v))_{\nu})-T_{h-k}(v-T_k(v)),
\text{ a.e. in }Q \text{ and weakly in X}.
\end{gather*}
Let us take $w_{\epsilon}(1-\Phi_{\delta,\eta})$ as test functions in \eqref{e5.3}. 
We obtain
\[
A_1+A_2+A_3= A_4+A_5,
\]
where
\begin{gather*}
A_1= \int_0^{T}\langle v_{t,\epsilon},w_{\epsilon}(1-\Phi_{\delta,\eta})\rangle\,dt,\\
A_2=\int_Qa(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla w_{\epsilon}
 (1-\Phi_{\delta,\eta}), \\
A_3=-\int_Qa(t,x,u_{\epsilon},\nabla u_{\epsilon})
 \cdot\nabla\Phi_{\delta,\eta}w_{\epsilon}dx\,dt, \\
A_4=w_{\epsilon}(1-\Phi_{\delta,\eta}) d\hat{\mu_0} ,\\
A_5=\int_Qw_{\epsilon}(1-\Phi_{\delta,\eta}) d(\lambda_{\epsilon}^{\oplus}
 -\lambda_{\epsilon}^{\ominus})
\end{gather*}
Using the weak convergence of $f_{\epsilon}$, again from the decomposition 
\eqref{e3.2}
\[ 
A_4=\int_Qf_{\epsilon}w_{\epsilon}(1-\Phi_{\delta,\eta})\,dx\,dt
 +\int_QG_{\epsilon}\cdot\nabla (w_{\epsilon}(1-\Phi_{\delta,\eta}))\,dx\,dt,
 \]
since $f_{\epsilon}$ converges to $f$ weakly in $L^{1}(Q)$, 
from Lemma \ref{lem4.1}, we obtain
\[ 
\int_Qf_{\epsilon}w_{\epsilon}(1-\Phi_{\delta,\eta})\,dx\,dt 
=\omega(\epsilon,\nu,h). 
\]

\begin{lemma}\label{lem6.5}
Let $h,k>0$, and $u_{\epsilon}$ and $\Phi_{\delta,\eta}$ as before, then
\[
\int_{\{ h\leq |v_{\epsilon}|< h+k \}}|\nabla u_{\epsilon}|^p
(1-\Phi_{\delta,\eta})=\omega(\epsilon,h,\delta,\eta). 
\]
\end{lemma}

For a proof of the above lemma see \cite[Lemma 7]{Pe2}.

Note that $(g_{\epsilon})$ converges to $g$ strongly in $(L^{p'}(Q))^{N}$,
 and $T_k(v)_{\nu}$ converges to $T_k(v)$ strongly in $X$. Then we deduce
 from Young's inequality and Lemma \ref{lem6.5},
\begin{align*}
&\int_QG_{\epsilon}\cdot\nabla (w_{\epsilon}(1-\Phi_{\delta,\eta}))\,dx\,dt\\
&=\int_Q(1-\Phi_{\delta,\eta})G\cdot\nabla (T_{h+k}(v-T_k(v))-T_{h-k}(v-T_k(v)))
 \,dx\,dt+\omega(\epsilon,\nu)\\
&=\int_{\{ h\leq v< h+2k\}}(1-\Phi_{\delta,\eta})G\cdot\nabla v\,dx\,dt
 +\omega(\epsilon,\nu,h)\\
&=\omega(h,\delta,\eta).
\end{align*}
Then
\[ 
A_4=\omega(\epsilon,\nu,h,\delta,\eta). 
\]

To estimate of $A_5$, we have $|w_{\epsilon}|\leq 2k$ and reasoning as in the 
proof of Lemma \ref{lem6.5}, and thanks to \eqref{e4.8} - \eqref{e4.11}; we obtain
\[ 
A_5=\omega(\epsilon,\delta,\eta).
\]

To estimate of $A_1$, we observe that, since $|T_k(v)_{\nu}|\leq k$, $w_{\epsilon}$
can be written in the following way:
\[ 
w_{\epsilon}=T_{h+k}(v_{\epsilon}-T_k(v)_{\nu})
- T_{h-k}(v_{\epsilon}-T_k(v_{\epsilon})). 
\]
Hence, setting $G(t)=\int_0^{t}T_{h-k}(s-T_k(s))ds$, we have
\begin{align*}
&\int_0^{t}\langle (v_{\epsilon})_{t},w_{\epsilon}(1-\Phi_{\delta,\eta})\rangle\,dt\\
&=\int_0^{t}\langle (T_k(v)_{\nu})_{t}, T_{h+k}(v_{\epsilon}-T_k(v)_{\nu})
 (1-\Phi_{\delta,\eta})\rangle\,dt\\
&\quad +\int_QS_{h+k}(v_{\epsilon}-T_k(v)_{\nu})_{t}(1-\Phi_{\delta,\eta})\,\,dx\,dt
-\int_QG(v_{\epsilon})_{t}(1-\Phi_{\delta,\eta})\,dx\,dt
\end{align*}
and since $|T_k(v)_{\nu}|\leq k$,  using 
the definition of $T_k(v)_{\nu}$  we obtain 
\begin{align*}
&\int_0^{t}\langle (T_k(v)_{\nu})_{t}, 
T_{h+k}(v_{\epsilon}-T_k(v)_{\nu})(1-\Phi_{\delta,\eta})\rangle\,dt\\
&= \nu\int_Q(T_k(v)-T_k(v)_{\nu})T_{h+k}(v_{\epsilon}-T_k(v)_{\nu})\,dx\,dt, 
\end{align*}
so that as $\epsilon$ tends to infinity, we have
\begin{align*}
&\int_0^{t}\langle (T_k(v))_{t}, T_{h+k}(v_{\epsilon}-T_k(v)_{\nu})
(1-\Phi_{\delta,\eta})\rangle\,dt\\
&= \omega(\epsilon)+\nu\int_Q(T_k(v)-T_k(v)_{\nu})T_{h+k}(v-T_k(v)_{\nu})
(1-\Phi_{\delta,\eta})\,dx\,dt\\
&=\omega(\epsilon)+\nu\int_{\{ |v|\leq k\}}(v-T_k(v)_{\nu})T_{h+k}
(v-T_k(v)_{\nu})(1-\Phi_{\delta,\eta})\,dx\,dt\\
&\quad +\int_{\{ v>k\}}(k-T_k(v)_{\nu})T_{h+k}(v-T_k(v)_{\nu})
(1-\Phi_{\delta,\eta})\,dx\,dt\\
&\quad +\int_{\{ v<-k\}}(-k-T_k(v)_{\nu})T_{h+k}(v-T_k(v)_{\nu})
 (1-\Phi_{\delta,\eta})\,dx\,dt.
\end{align*}
since $|T_k(v)_{\nu}|\leq k$, last three terms are positives, 
hence we deduce by letting $\epsilon$ and $\nu$ to $\infty$,
\begin{align*}
&\int_0^{t}\langle (v_{\epsilon})_{t},w_{\epsilon}(1-\Phi_{\delta,\eta})\rangle\,dt\\
&= \omega(\epsilon)+\int_QS_{h+k}(v_{\epsilon}-T_k(v)_{\nu})_{t}
 (1-\Phi_{\delta,\eta})\,dx\,dt -\int_QG(v_{\epsilon})_{t}
 (1-\Phi_{\delta,\eta})\,dx\,dt\\
&=\omega(\epsilon)+\int_QS_{h+k}(v_{\epsilon}-T_k(v)_{\nu})
 \frac{\partial \Phi_{\delta\eta}} {dt}dx\,dt
 -\int_QG(v_{\epsilon})\frac{\partial \Phi_{\delta\eta}}\,\,dx\,dt\\
&\quad +\int_{\Omega} S_{h+k}(v_{\epsilon}-T_k(v)_{\nu})(T)\,dx
 -\int_{\Omega}S_{h+k}(u_{0,\epsilon}-z_{\nu})\,dx\\
&\quad -\int_{\Omega}G(v_{\epsilon})(T)\,dx +\int_{\Omega}G(u_{0,\epsilon})\,dx.
\end{align*}
Now we define  the function $R(y)=S_{h+k}(y-z)\cdot G(y)$, with $|z|\leq k$.
Then
\begin{gather*}
R(y)=S_{h+k}(y+z)\geq 0 ,\quad |y|\leq k,\\
R'(y)=T_{h+k}(y-z)-T_{h-k}(y-T_k(y))\geq 0, \quad y\geq k\geq z,\\
R'(y)\leq 0,  \quad y\leq -k\leq z.
\end{gather*}
Hence for every $z, |z|\leq k$, we have $R(y)\geq 0$ for every $y$ in $\mathbb{R}$, 
we obtain
\[ 
\int_{\Omega}S_{h+k}(v_{\epsilon}-T_k(v)_{\nu})(T)\,dx 
- \int_{\Omega} G(v_{\epsilon})(T)\,dx \geq 0, 
\]
letting $\epsilon$ and $\nu$ go to their limits,
\[ 
\int_{\Omega}G(u_{u_{0,\epsilon}})\,dx 
-\int_{\Omega}S_{h+k}(u_{0,\epsilon}-z_{\nu})\,dx
=\int_{\Omega}G(u_0)-\int_{\Omega}S_{h+k}(u_0-T_k(u_0))+\omega (\epsilon,\nu), 
\]
Since we have $|G(u_0)-S_{h+k}(u_0-T_k(u_0))|\leq 2k|u_0|\chi_{\{ |u_0|>k\}}$, 
it follows that by letting $h$ to $+\infty$,
\[ 
\int_{\Omega}G(u_{0,\epsilon})\,dx -\int_{\Omega}S_{h+k}(u_{0,\epsilon}-z_{\nu})\,dx
 = \omega(\epsilon,\nu,h)\,.
\]
By the definition of $T_k(v)_{\nu}$,
\begin{align*}
&\int_QS_{h+k}(v_{\epsilon}-T_k(v)_{\nu})\frac{d\Phi_{\delta\eta}}{dt}dx\,dt
 -\int_QG(v_{\epsilon})\frac{d\Phi_{\delta\eta}}{dt}dx\,dt\\
&=\int_Q(S_{h+k}(v-T_k(v)-G(v))\frac{d\Phi_{\delta\eta}}{dt}dx\,dt
 +\omega(\epsilon,\nu).
\end{align*}
So, if $|v|\leq h-k$, $S_{h+k}(v-T_k(v))- G(v)=0$, then 
$S_{h+k}(v-T_k(v))-G(v)$ converges a.e. to $0$ on $Q$, and since $v\in L^{1}(Q)$,
 by dominated convergence theorem
 \[ 
\int_QS_{h+k}(v_{\epsilon}- T_k(v)_{\nu})\frac{d\Phi_{\delta\eta}}{dt}dx\,dt 
- \int_Q(v_{\epsilon})\frac{d\Phi_{\delta\eta}}{dt}dx\,dt
\geq \omega(\epsilon,\nu,h), 
\]
 and so
 \[ 
\int_0^{T}\langle (v_{\epsilon})_{t},w_{\epsilon}(1-\Phi_{\delta\eta})\rangle
 \geq \omega(\epsilon,\nu,h).
\]

Now we estimate of $A_2$.
 Note that $\nabla w_{\epsilon}=0$ if $|v_{\epsilon}|>h+4k$; then if we set 
$M=h+4k$, splitting the integral $(A_2)$ on the sets $\{ |v_{\epsilon}|>k\}$
and $\{ |v_{\epsilon}|\leq k\}$, using the fact that 
$T_{h}(v_{\epsilon})=T_k(v_{\epsilon})=v_{\epsilon}$ 
in $\{ |v_{\epsilon}|\leq k\}$ and 
$\nabla T_k(v_{\epsilon})\chi_{|v_{\epsilon}|>k}=0$. 
Then for $\{ |v_{\epsilon}|\leq M\}$ and $h\geq 2k$, we have
\begin{align*}
 A_2
&=\int_Qa(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla w_{\epsilon}
 (1-\Phi_{\delta\eta})\,dx\,dt\\
 &=\int_{\{ |v_{\epsilon}|\leq k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (v_{\epsilon}-T_k(v)_{\nu})(1-\Phi_{\delta\eta})\,dx\,dt\\
 &\quad+\int_{\{ |v_{\epsilon}|>k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla [(v_{\epsilon}-T_{h}(v_{\epsilon}))-(T_k(v)_{\nu})]
(1-\Phi_{\delta\eta})\,dx\,dt\\
 &=\int_{\{ |v_{\epsilon}|\leq k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (v_{\epsilon}-T_k(v)_{\nu})(1-\Phi_{\delta\eta})\,dx\,dt\\
 &\quad+\int_{\{ |v_{\epsilon}|>h\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla [(v_{\epsilon}-T_{h}(v_{\epsilon}))(1-\Phi_{\delta\eta})\,dx\,dt\\
 &\quad+\int_{\{ |v_{\epsilon}|>k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (T_k(v)_{\nu}-T_k(v))+\nabla T_k(v)(1-\Phi_{\delta\eta})\,dx\,dt\\
 &=\int_{\{ |v_{\epsilon}|\leq k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (v_{\epsilon}-T_k(v)_{\nu})(1-\Phi_{\delta\eta})\,dx\,dt\\
 &\quad+\int_{\{ h<|v_{\epsilon}|>h+4k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla v_{\epsilon}(1-\Phi_{\delta\eta})\,dx\,dt\\
 &\quad+\int_{\{ |v_{\epsilon}|>k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (T_k(v)_{\nu}-T_k(v))(1-\Phi_{\delta\eta})\,dx\,dt\\
 &\quad +\int_{\{ |v_{\epsilon}|>k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla T_k(v)(1-\Phi_{\delta\eta})\,dx\,dt\,.
 \end{align*}
Using assumption \eqref{e2.2}, young's inequality, equi-integrability and 
Lemma \ref{lem6.5}, we see that for some $C=C(p,c_2)$,
\begin{align*}
&\int_{\{ h\leq |v_{\epsilon}|<h+4k\}}a(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\cdot\nabla v_{\epsilon}(1-\Phi_{\delta\eta})\,dx\,dt \\
&\leq C \int_{\{ h\leq |v_{\epsilon}|<h+4k\}}(|\nabla u_{\epsilon}|^p
 +|\nabla g|^p+|b_0(t,x)|^{p'})(1-\Phi_{\delta\eta})\,dx\,dt\\
 &\leq \omega(\epsilon,h,\delta,\eta)\,.
 \end{align*}
Thanks to Proposition \ref{prop5.2} and the fact that $T_k(v)_{\nu}$ converges strongly
to $T_k(v)$ in $L^p(0,T;W^{1,p}_0(\Omega))$, we have
\begin{gather*} 
\int_{\{ |v_{\epsilon}|>k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla T_k(v)(1-\Phi_{\delta\eta})\,dx\,dt=\omega(\epsilon), \\
\int_{\{ |v_{\epsilon}|>k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (T_k(v)_{\nu}-T_k(v))(1-\Phi_{\delta\eta})\,dx\,dt
=\omega(\epsilon,\nu),
\end{gather*}
Therefore,
  \[
A_2=\int_{\{ |v_{\epsilon}|\leq k\}}a(t,x,u_{\epsilon},\nabla u_{\epsilon})
\cdot\nabla (v_{\epsilon}-T_k(v)_{\nu})(1-\Phi_{\delta\eta})\,dx\,dt
+ \omega(\epsilon,\nu,h,\delta,\eta). 
\]
\end{proof}

Next we conclude the proof of Theorem \ref{thm3.5}.

\begin{lemma}\label{lem6.6}
The function $u$ is a renormalized solution of \eqref{e1.1}.
\end{lemma}

\begin{proof}
(i) Let $\varphi\in X\cap L^{\infty}(Q)$ such that $\varphi_{t}\in X'+L^{1}(Q)$, 
$\varphi(\cdot,T)=0$, and $S\in W^{2,\infty}(\mathbb{R})$, such that  
$S'$ has compact support on $\mathbb{R}$, $S(0)=0$. Let $M>0$ such that 
$\operatorname{supp} S'\subset [-M,M]$. 
Taking successively $(\varphi,S)$, $(\varphi,\psi_{\delta}^{+})$ and 
$(\varphi,\psi_{\delta}^{-})$ as test functions in \eqref{e6.1} 
applied to $u_{\epsilon}$, we can write
\begin{gather*}
A_1+A_2)+A_3+A_4=A_5+A_6+A_7, \\
(A_2)_{\delta}^{+}+(A_3)_{\delta}^{+}+(A_4)_{\delta}^{+}
=(A_5)_{\delta}^{+}+(A_6)_{\delta}^{+}+(A_7)_{\delta}^{+}, \\
(A_2)_{\delta}^{-}+(A_3)_{\delta}^{-}+(A_4)_{\delta}^{-}
=(A_5)_{\delta}^{-}+(A_6)_{\delta}^{-}+(A_7)_{\delta}^{-} 
\end{gather*}
where
\begin{gather*}
A_1=-\int_{\Omega}\varphi(0)S(u_{0,\epsilon})dt,\quad
A_2=-\int_Q\varphi_{t}S(v_{\epsilon})\,dx\,dt, \\
A_3=\int_QS'(v_{\epsilon})a(t,x,u_{\epsilon},\nabla u_{\epsilon})
 \cdot\nabla\varphi\,dx\,dt,\\
A_4=\int_QS''(v_{\epsilon})\varphi a(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\cdot\nabla v_{\epsilon}dx\,dt,\\
A_5=\int_QS'(v_{\epsilon})\varphi \hat{\mu}_{\epsilon},\quad
A_6=\int_QS'(v_{\epsilon})\varphi d\lambda_{\epsilon}^{\oplus}\\
A_7=-\int_QS'(v_{\epsilon})\varphi d\lambda_{\epsilon}^{\ominus},
\end{gather*}
and
\begin{gather*}
(A_2)_{\delta}^{+}=-\int_Q(\varphi\psi_{\delta}^{+})_{t}S(v_{\epsilon})\,dx\,dt, \\
(A_3)_{\delta}^{+}=\int_QS'(v_{\epsilon})a(t,x,u_{\epsilon},\nabla u_{\epsilon})
 \cdot\nabla (\varphi\psi_{\delta}^{+})\,dx\,dt,\\
(A_4)_{\delta}^{+}=\int_QS''(v_{\epsilon})\varphi\psi_{\delta}^{+}
 a(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla v_{\epsilon}dx\,dt,\\
(A_5)_{\delta}^{+}=\int_QS'(v_{\epsilon})\varphi\psi_{\delta}^{+}
 d\lambda_{\epsilon}^{\oplus},\\
(A_6)_{\delta}^{+}=-\int_QS'(v_{\epsilon})\varphi\psi_{\delta}^{+}
 d\lambda_{\epsilon}^{\ominus}\,.
\end{gather*}
Since $(u_{0,\epsilon})$ converges to $u_0$ in $L^{1}(\Omega)$, and 
$(S(v_{\epsilon}))$ converges to $S(v)$, strongly in $X$, and 
weak\_* in $L^{\infty}(Q)$, it follows that
\begin{gather*}
A_1=\int_{\Omega}\varphi(0)S(u_0)\,dx +\omega(\epsilon),\quad 
A_2=-\int_Q\varphi_{t}S(v)+\omega(\epsilon),\\
(A_2)_{\delta}^{+}=\omega(\epsilon,\delta),\quad 
(A_2)_{\delta}^{-}=\omega(\epsilon,\delta)\,.
\end{gather*}
Moreover, $T_{M}(v_{\epsilon})$ converges to $T_{M}(v)$, 
then $T_{M}(v_{\epsilon})+h_{\epsilon}$ converges to $T_k(v)+h$ strongly in $X$.
Therefore,
\begin{align*}
A_3&=\int_QS'(v_{\epsilon})a(t,x,u_{\epsilon},\nabla (T_{M}(v_{\epsilon})
 +h_{\epsilon})\cdot\nabla \varphi,\\
&=\omega(\epsilon)+\int_QS'(v)a(t,x,u_{\epsilon},\nabla (T_{M}(v)+h))
 \cdot\nabla \varphi, \\
&=\omega(\epsilon)+\int_QS'(v)a(t,x,u,\nabla u)\cdot\nabla \varphi,
\end{align*}
and
\begin{align*}
A_4&=\int_QS''(v_{\epsilon})\varphi a(t,x,u_{\epsilon},
 \nabla (T_{M}(v_{\epsilon})+h_{\epsilon}))\cdot\nabla T_{M}(v_{\epsilon})\\
&=\omega(\epsilon)+\int_QS''(v)\varphi a(t,x,u,\nabla (T_{M}(v)+h))
 \cdot\nabla T_{M}(v)\\
&=\omega(\epsilon)+\int_QS''(v)\varphi a(t,x,u,\nabla u)\cdot\nabla v\,.
\end{align*}
In the same way, since $\psi_{\delta}^{+},\psi_{\delta}^{-}$ converges to $0$ in $X$,
\begin{gather*}
 (A_3)_{\delta}^{+}=\omega(\epsilon)+\int_QS'(v)a(t,x,u,\nabla u)\cdot\nabla 
(\varphi\psi)_{\delta}^{+}=\omega(\epsilon,\delta), \\
 (A_3)_{\delta}^{-}=\omega(\epsilon)+\int_QS'(v)a(t,x,u,\nabla u)\cdot\nabla 
 (\varphi\psi_{\delta}^{-})=\omega(\epsilon,\delta), \\
 (A_4)_{\delta}^{+}=\omega(\epsilon)+\int_QS''(v)\varphi\psi_{\delta}^{+}
 a(t,x,u,\nabla u)\cdot\nabla v=\omega(\epsilon,\delta), \\
 (A_4)_{\delta}^{-}=\omega(\epsilon)+\int_QS''(v)\varphi\psi_{\delta}^{-}
 a(t,x,u,\nabla u)\cdot\nabla v=\omega(\epsilon,\delta),
\end{gather*}
and $(g_{\epsilon})$ strongly converges to $g$ in $(L^{p'}(\Omega))^{N}$.
Therefore, 
\begin{align*}
(A_5)&=\int_QS'(v_{\epsilon})\varphi f_{\epsilon}
 +\int_QS'(v_{\epsilon})g_{\epsilon}\cdot\nabla \varphi
 +\int_QS''(v_{\epsilon})\varphi g_{\epsilon}\cdot\nabla T_{M}(v_{\epsilon})\\
&=\omega(\epsilon)+\int_QS'(v)\varphi f+\int_QS'(v)g\cdot\nabla \varphi
 +\int_QS''(v)\varphi g\cdot\nabla T_{M}(v)\\
&=\omega(\epsilon)+\int_QS'(v)\varphi d\hat{\mu}_0
\end{align*}
Now, thanks to Proposition \ref{prop5.2} and the proprieties of $\psi_{\delta}^{+}$ 
and $\psi_{\delta}^{-}$, we readily have
\begin{gather*}
(A_5)_{\delta}^{+}=\omega(\epsilon)
 +\int_QS'(v)\varphi \psi_{\delta}^{+}d\hat{\mu}_{\epsilon}=\omega(\epsilon,\delta),\\
(A_5)_{\delta}^{-}=\omega(\epsilon)+\int_QS'(v)\varphi 
\psi_{\delta}^{-}d\hat{\mu}_{\epsilon} =\omega(\epsilon,\delta).
\end{gather*}
Then
\[ 
(A_6)_{\delta}^{+}+(A_7)_{\delta}^{+}=\omega(\epsilon,\delta),
\]
and thanks to \eqref{e4.9},
\begin{gather*}
(A_7)_{\delta}^{+}\leq |\int_QS'(v_{\epsilon})\varphi \psi_{\delta}^{+}
 d\lambda_{\epsilon}^{\ominus}|
 \leq c\int_Q\psi_{\delta}^{+}d\lambda_{\epsilon}^{\ominus}=\omega(\epsilon,\delta),\\
(A_7)_{\delta}^{-}=\omega(\epsilon,\delta)\,.
\end{gather*}
Then
\[
(A_6)_{\delta}^{+}=\int_QS'(v_{\epsilon})\varphi\psi_{\delta}^{+}
d\lambda_{\epsilon}^{\oplus}= \omega(\epsilon,\delta).
\]
Moreover, 
\begin{align*}
A_6
&=\int_QS'(v_{\epsilon})\varphi d\lambda_{\epsilon}^{\ominus}\\
&=\int_QS'(v_{\epsilon})\varphi \psi_{\delta}^{+}d\lambda_{\epsilon}^{\oplus}
+\int_QS'(v_{\epsilon})\varphi(1-\psi_{\delta}^{+})d\lambda_{\epsilon}^{\oplus}\\
&\leq \omega(\epsilon,\delta)+\int_Q|S'(v_{\epsilon})\varphi|(1-\psi_{\delta}^{+})
d\lambda_{\epsilon}^{\oplus}\\
&\leq \omega(\epsilon,\delta)+ \| S\|_{W^{2,\infty}(\mathbb{R})}
\| \varphi\|_{L^{\infty}(Q)}\int_Q(1-\psi_{\delta}^{+})
d\lambda_{\epsilon}^{\oplus}\\
&\leq \omega(\epsilon,\delta)\,.
\end{align*}
Hence
\[ 
A_6=\omega(\epsilon)\text{  and  } (A_7)=\omega(\epsilon). 
\]
Therefore, we finally obtain
\begin{align*}
&-\int_{\Omega}\varphi(0)S(u_0)\,dx -\int_Q\varphi_{t}S(v)
+\int_QS'(v)a(t,x,u,\nabla u)\cdot\nabla \varphi \\
&+\int_QS''(v)\varphi a(t,x,u,\nabla u)\cdot\nabla v\\
&=\int_QS'(v)\varphi d\hat{\mu}_0
\end{align*}
with $\varphi\in C^{1}_0([0,T]\times\Omega)$.
 By density argument we have \eqref{e2.8} for any $\varphi\in X\cap L^{\infty}(Q)$ 
such that $\varphi_{t}\in X'+L^{1}(Q)$ and $\varphi(\cdot,T)=0$.
\smallskip

(ii) Next, we prove \eqref{e2.9}. We take $\varphi\in C^{\infty}_{c}(Q)$ and  
$(\varphi,S)=((1-\psi_{\delta}{-})\varphi,\overline{H}_n)$ as test 
functions in \eqref{e2.8} and  the same test functions in \eqref{e6.1} 
applied to $u_{\epsilon}$, we can write
\begin{gather*}
 B_1^n+B_2^n=B_3^n+B_4^n+B_5^n, \\
 B_{1,\epsilon}^n+B_{2,\epsilon}^n=B_{3,\epsilon}^n+B_{4,\epsilon}^n
 +B_{5,\epsilon}^n,
\end{gather*}
where
\begin{gather*}
B_1^n=-\int_Q((1-\psi_{\delta}^{-})\varphi)_{t}\overline{H}_n(v)\,dx\,dt, \\
B_2^n=\int_QH_n(v)a(t,x,u,\nabla u)\cdot\nabla ((1-\psi_{\delta}^{-})\varphi)\,dx\,dt,\\
B_3^n=\int_QH_n(v)(1-\psi_{\delta}^{-})\varphi d\hat{\mu}_0,\\
B_4^n=\frac{1}{n}\int_{\{ n<v\leq 2n\}}(1-\psi_{\delta}^{-})\varphi a(t,x,u,\nabla u)
 \cdot\nabla v\,dx\,dt, \\
B_5^n=-\frac{1}{n}\int_{\{ -2n\leq v< -n\}}(1-\psi_{\delta}^{-})
 \varphi a(t,x,u,\nabla u)\cdot\nabla v\,dx\,dt,
\end{gather*}
and
\begin{gather*}
B_{1,\epsilon}^n=-\int_Q((1-\psi_{\delta}^{-})\varphi)_{t}
 \overline{H}_n(v_{\epsilon})\,dx\,dt, \\
B_{2,\epsilon}^n=\int_QH_n(v_{\epsilon})a(t,x,u_{\epsilon},
 \nabla u_{\epsilon})\cdot\nabla ((1-\psi_{\delta}^{-})\varphi)\,dx\,dt, \\
B_{3,\epsilon}^n=\int_QH_n(v_{\epsilon})(1-\psi_{\delta}^{-})
 \varphi d(\hat{\mu}_{\epsilon,0}+\lambda_{\epsilon}^{\oplus}
 -\lambda_{\epsilon}^{\ominus}), \\
B_{4,\epsilon}^n=\frac{1}{n}\int_{\{ n< v_{\epsilon}\leq 2n\}}
 (1-\psi_{\delta}^{-})\varphi a(t,x,u_{\epsilon},\nabla u_{\epsilon})
 \cdot\nabla v_{\epsilon}\,dx\,dt, \\
B_{5,\epsilon}^n=-\frac{1}{n}\int_{\{ -2n\leq v_{\epsilon}< -n\}}
 (1-\psi_{\delta}^{-})\varphi a(t,x,u_{\epsilon},\nabla u_{\epsilon})
 \cdot\nabla v_{\epsilon}\,dx\,dt\,.
\end{gather*}
In the last terms, we go to the limit as $n\to +\infty$,
 since $(\overline{H}_n(v_{\epsilon}))$ converges to $0$, 
weakly in $(L^p(Q))^{N}$, we obtain the relation
\[ 
B_{1,\epsilon}+B_{2,\epsilon}=B_{3,\epsilon}+B_{\epsilon}
\]
where
\begin{gather*}
B_{1,\epsilon}=-\int_Q((1-\psi_{\delta}^{-})\varphi)_{t}v_{\epsilon},\\
B_{2,\epsilon}=\int_Qa(t,x,u_{\epsilon},\nabla u_{\epsilon})\cdot\nabla 
((1-\psi_{\delta}^{-}\varphi),\\
B_{3,\epsilon}=\int_Q(1-\psi_{\delta}^{-})\varphi d\hat{\mu}_{\epsilon,0},\\
B_{\epsilon}=\int_Q(1-\psi_{\delta}^{-})\varphi d(\lambda_{\epsilon,0}^{\oplus}
 -\lambda_{\epsilon,0}^{\ominus})+\int_Q(1-\psi_{\delta}^{-})
 \varphi d(\lambda_{\epsilon,s}^{\oplus}-\lambda_{\epsilon,s}^{\ominus})\,.
\end{gather*}
Clearly, $(B_{i,\epsilon})-(B_{i}^n)=\omega(\epsilon,n)$ for $i=1,3$, 
from \eqref{e4.9} - \eqref{e4.11}, we obtain
\begin{gather*}
B_5^n=\omega(\epsilon,n,\delta), \\
\frac{1}{n}\int_{\{ n< v\leq 2n\}}\psi_{\delta}^{-}\varphi 
a(t,x,u,\nabla u)\cdot\nabla v=\omega(\epsilon,n,\delta)\,.
\end{gather*}
Thus
\[ 
B_4^n=\frac{1}{n}\int_{\{ n< v\leq 2n\}}\varphi a(t,x,u,\nabla u)\cdot\nabla v\,dx\,dt
+ \omega(\epsilon,n,\delta)
\]
since 
\[
|\int_Q(1-\psi_{\delta}^{-})\varphi d\lambda_{\epsilon}^{\ominus}|
\leq \| \varphi\|_{L^{\infty}}\int_Q(1-\psi_{\delta}^{-})
d\lambda_{\epsilon}^{\ominus},
\]
 it follows that $\int_Q(1-\psi_{\delta}^{-})\varphi d\lambda_{\epsilon}^{\ominus}
=\omega(\epsilon,n,\delta)$ from \eqref{e4.11}. 
And $|\int_Q\psi_{\delta}^{-}\varphi d\lambda_{\epsilon}^{\oplus}|
\leq \| \varphi\|_{L^{\infty}}\int_Q\psi_{\delta}^{-}d\lambda_{\epsilon}^{\oplus}$.
Thus from \eqref{e4.8} and \eqref{e4.9}, 
$\int_Q(1-\psi_{\delta}^{-})\varphi d\lambda_{\epsilon}^{\oplus}
=\int_Q\varphi d\mu_{s}^{+}+ \omega(\epsilon,n,\delta)$. 
Then
\[
B_{\epsilon}=\int_Q\varphi d\mu_{s}^{+}+\omega(\epsilon,n,\delta). 
\]
Therefore, by subtraction, we obtain successively
\begin{gather*}
\frac{1}{n}\int_{\{ n< v\leq 2n\}}\varphi a(t,x,u,\nabla u)\cdot\nabla v\,dx\,dt
=\int_Q\varphi d\mu_{s}^{+}+\omega(\epsilon,n,\delta), \\
\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n< v\leq 2n\}}\varphi a(t,x,u,\nabla u)
\cdot\nabla v=\int_{\varphi}d\mu_{s}^{+}, 
\end{gather*}
which proves \eqref{e2.9} when $\varphi\in C^{\infty}_{c}(Q)$.
 Next assume only $\varphi\in C^{\infty}(\overline{Q})$. Then
\begin{align*}
&\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n\leq v<2n\}}\varphi 
 a(t,x,u,\nabla u)\cdot\nabla v\,dx\,dt\\
&=\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n\leq v<2n\}}\varphi\psi_{\delta}^{+}
 a(t,x,u,\nabla u)\cdot\nabla v\,dx\,dt \\
&\quad +\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n\leq v<2n\}}
 \varphi(1-\psi_{\delta}^{+})a(t,x,u,\nabla u)\cdot\nabla v\,dx\,dt\\
&=\int_Q\varphi\psi_{\delta}^{+}d\mu_{s}^{+}+\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n\leq v<2n\}}\varphi(1-\psi_{\delta}^{+})a(t,x,u,\nabla u)\cdot\nabla v\,dx\,dt\\
&=\int_Q\varphi d\mu_{s}^{+}+D
\end{align*}
where
\[ 
D=\int_Q\varphi(1-\psi_{\delta}^{+})d\mu_{s}^{+}
+\lim_{n\to +\infty}\frac{1}{n}\int_{\{ n\leq v<2n\}}\varphi(1-\psi_{\delta}^{+})
a(t,x,u,\nabla u)\nabla v\,dx\,dt=\omega(\epsilon).
\]
Therefore, \eqref{e2.9} still holds for $\varphi\in C^{\infty}(\overline{Q})$, 
and we deduce \eqref{e2.9} by density, and similarly the second  convergence.
 This complete the proof of Theorem \ref{thm3.5}.
\end{proof}


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\end{document}
