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\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2013 (2013), No. 121, pp. 1--17.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu}
\thanks{\copyright 2013 Texas State University - San Marcos.}
\vspace{9mm}}

\begin{document}
\title[\hfilneg EJDE-2013/121\hfil Regularity on the interior]
{Regularity on the interior for the gradient of weak
  solutions to nonlinear second-order elliptic systems}

\author[J. Dan\v{e}\v{c}ek, E. Viszus \hfil EJDE-2013/121\hfilneg]
{Josef Dan\v{e}\v{c}ek, Eugen Viszus}  % in alphabetical order

\address{Josef Dan\v{e}\v{c}ek \newline
 Institute of Mathematics and Biomathematics, Faculty of Science,
 University of South Bohemia, Brani\v{s}ovsk\'{a} 31,
 3705 \v{C}esk\'{e} Bud\v{e}jovice,
 Czech Republic}
\email{josef.danecek@prf.jcu.cz}

\address{Eugen Viszus \newline
 Department of Mathematical Analysis  and Numerical Mathematics,
 Faculty of Mathematics, Physics and Informatics
 Comenius University,  Mlynsk\'{a} dolina,
 84248 Bratislava,
 Slovak Republic}
\email{eugen.viszus@fmph.uniba.sk}

\thanks{Submitted April 8, 2013. Published May 16, 2013.}
\subjclass[2000]{35J47}
\keywords{Nonlinear elliptic equations; weak solutions; regularity;
\hfill\break\indent Campanato spaces}

\begin{abstract}
 We consider weak solutions to the Dirichlet problem for
 nonlinear elliptic systems. Under suitable conditions on the
 coefficients of the systems we obtain everywhere H\"older regularity
 on the interior for the gradients of weak solutions.
 Our sufficient condition for the regularity works even though
 an excess of the gradient of solution is not very small.
 More precise partial regularity on the interior can be deduced 
 from our main result. The main result is illustrated through examples 
 at the end of this article.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{definition}[theorem]{Definition}
\newtheorem{example}[theorem]{Example}
\newtheorem{remark}[theorem]{Remark}
\allowdisplaybreaks


 \section{Introduction}

 In this paper we give conditions guaranteeing that a weak solution
 to the Dirichlet problem for a nonlinear elliptic system
 \begin{equation}\label{R}
 \begin{gathered}
 -D_\alpha\big(A_i^{\alpha}(Du)\big)=0\quad \text{in } \Omega,\; i=1,\ldots,N,\\
 u=g\quad \text{on } \partial\Omega
 \end{gathered}
 \end{equation}
 belongs to $C_{\mathrm{loc}}^{1,\gamma}(\Omega,\mathbb{R}^N)$ space.
 Here and in the following, summation over repeated indices is understood.

 By a weak solution to the Dirichlet problem \eqref{R},
 we mean a function $u$ in $W^{1,2}(\Omega,\mathbb{R}^N)$
 such that
 \begin{equation*}
 \int_\Omega A_i^{\alpha}(Du)D_{\alpha}\varphi^{i}\, dx=0,
 \quad\forall\,\varphi\in W_0^{1,2}(\Omega,\mathbb{R}^N)
 \end{equation*}
 and $u-g\in W_0^{1,2}(\Omega,\mathbb{R}^N)$.

 Here $\Omega\subset\mathbb{R}^n$ is a bounded open set, $n\ge 3$,
 the function $g$ belongs to the space $W^{1,2}(\Omega,\mathbb{R}^N)$,
 the coefficients
 $(A_i^{\alpha})_{i=1,\ldots,N,\alpha=1,\ldots,n}$ are
  differentiable,
 have the linear controlled growth and satisfy the strong
 uniform ellipticity condition. More precisely, denoting by
 \begin{equation*}
 A_{ij}^{\alpha\beta}(p)=\frac{\partial A_i^{\alpha}}
 {\partial p_{j}^{\beta}}(p)
 \end{equation*}
 and assuming that $A_i^{\alpha}(0)=0$ we require
 \begin{itemize}
 \item [(i)] there exists a constant $M>0$ such that
 for every $p\in\mathbb{R}^{nN}$
 \begin{equation*}
 |A_i^{\alpha}(p)|\le M(1+|p|),
 \end{equation*}

 \item [(ii)]
 $ |A_{ij}^{\alpha\beta}(p)|\le M$,

 \item [(iii)] the strong ellipticity condition holds;
 i.e., there exists a constant $\nu>0$ such that for every
 $p$, $\xi\in\mathbb{R}^{nN}$,
 \begin{equation*}
 A_{ij}^{\alpha\beta}(p)\xi_{\alpha}^{i}\xi_{\beta}^{j}\ge\nu|\xi|^{2},
 \end{equation*}
 \item [(iv)] there exists a real function $\omega$ defined and
 continuous on $[0,\infty)$, which is bounded,
 nondecreasing, increasing on a neighbourhood of zero,
 $\omega(0)=0$ and such that for all $p$, $q\in\mathbb{R}^{nN}$
 \begin{equation*}
 |A_{ij}^{\alpha\beta}(p)-A_{ij}^{\alpha\beta}(q)|
 \le\omega(|p-q|).
 \end{equation*}
 We set $\omega_{\infty}=\lim\nolimits_{t\to\infty}\omega(t)\le 2M$.
 \end{itemize}
 Here it is worth to point out
 (see \cite[pg.\ 169]{Gia83}) that for uniformly
 continuous coefficients $A_{ij}^{\alpha\beta}$ there
 exists the real function $\omega$ satisfying the assumption (iv)
 and, viceversa, (iv) implies the uniform continuity of the coefficients
 and the absolute continuity of $\omega$ on $[0,\infty)$.
 It is clear that if $\omega(t)=0$ for $t\in[0,\infty)$, then the
 system \eqref{R} is reduced to the system with constant coefficients
 and in this case the regularity of weak solutions is well
 understood (see, e.g.  \cite{Gia83} and references therein).
 
 The system \eqref{R} has been extensively studied
 (see, e.g.  \cite{Ca80,Gia83,Kos95,Ne83}).
 It is well known that the Dirichlet problem has a unique
 solution $u\in W^{1,2}(\Omega,\mathbb{R}^N)$. Moreover,
 for boundary function  $g\in W^{1,2}(\Omega,\mathbb{R}^N)$ it holds
 \begin{gather}\label{DI}
 \int_{\Omega} | Du|^{2}\, dx
 \le C_D\int_{\Omega} |Dg|^{2}\, dx,
\\ \label{DIR}
 \int_\Omega\,|Du-(Du)_{\Omega}|^{2}\, dx
 \le C_D\int_\Omega\,|Dg-(Dg)_{\Omega}|^{2}\, dx
 \end{gather}
 where $(Dg)_{\Omega}=\frac{1}{m(\Omega)}\int_\Omega\,Dg\, dx$,
 $m(\Omega)=m_{n}(\Omega)$ is the $n$ - dimensional Lebesgue measure
 of $\Omega$ and $C_D=n^{2}N^{2}(M/\nu)^{2}$.
 The estimates \eqref{DI} and \eqref{DIR} can be proved by a
 standard technique (see \cite{Gia93}, Remark on pg.113). For
 reader's convenience the proofs of \eqref{DI} and \eqref{DIR}
 are given in Appendix to this paper.
 
 The first regularity results for $n=2$ and for nonlinear systems were
 established by Morrey (see \cite{Morr66}) and they state that the
 gradient of unique solution to \eqref{R} is locally H\"{o}lder
 continuous. If $n\geq 3$, it is known that the gradient $Du$ may
 be discontinuous and unbounded 
(see \cite{HaLeonaNe96,Leona99,Ne83}).

 For $n\geq 3$ and for the nonlinear systems many partial regularity results
 were obtained, i.e., it was proved that the gradient
 of any weak solution to \eqref{R} (or more general system)
 is locally H\"{o}lder continuous up to a singular
 set of the Hausdorff dimension $n-2$
 (see, e.g.  \cite{Ca80,Gia83,Ne83}). In the last
 two decades some new methods for proving the partial regularity of
 weak solutions to the nonlinear systems, based on a generalization of
 the technique of harmonic approximation, have appeared (see,
 e.g.   \cite{Ham98,DuGro00} and references therein). These
 methods extend the previous partial regularity results in such a way
 that they allow to establish the optimal H\"{o}lder exponent for
 the gradients of weak solutions on their regular sets.
 
 In this place, it is worth to mention the papers
 \cite{SvY00,SvY02} where the authors through examples showed that
 (for $n=3$) the gradient of the unique minimizer of the convex
 and differentiable functional $F$ (in this case \eqref{R}
 is the Euler-Lagrange equation of $F$) can be discontinuous or unbounded.
 Thus full regularity cannot be achieved even in this special case.
 On the other hand, Campanato in \cite{Ca87} proved that
 the weak solution of the system \eqref{R}
 belongs to  $W^{2,2+\epsilon}_{loc}(\Omega,\mathbb{R}^N)$ which
 implies that $Du\in C_{\mathrm{loc}}^{0,\gamma}(\Omega,\mathbb{R}^{nN})$
 for $n=2$ and $u\in C_{\mathrm{loc}}^{0,\gamma}(\Omega,\mathbb{R}^N)$
 for $2\leq n\leq 4$, $\gamma\in (0,1)$.
  Kristensen and Melcher have recently proved
 (using a method which avoids employing the Gehring's lemma) in \cite{KrMe08}
 that an analogous result is true under the strong monotonicity and
 the Lipschitz continuity of the coefficients. Moreover, they have
 stated the value of the last mentioned $\epsilon$
 as $\epsilon=\delta\alpha/\beta$
 where $\delta>1/50$ is a universal constant, $0<\alpha\leq\beta$
 are the constant of the monotonicity and the Lipschitz continuity
 constant respectively.

 The aim of this paper is to extend the last mentioned results and
 the results of the paper \cite{DJS07}, giving  some conditions sufficient
 for the everywhere interior regularity of the solutions to the systems
 \eqref{R} for $n\geq 3$.
 In the paper \cite{DJS07}, the first author with John and Star\'{a}
 gave conditions, expressed in terms of the continuity modulus of the
 first derivatives of the coefficients of \eqref{R}, that guarantee
 the local H\"{o}lder continuity of the gradients of solutions to \eqref{R}
 in $\Omega$. More precisely, they proved that there exists
 $\nu_0>0$ such that for every ellipticity constant $\nu\geq\nu_0$
 with the ratio $M/\nu\leq P$, where $P>1$ is a given constant,
 the gradients of weak solutions to \eqref{R} are locally
 H\"{o}lder continuous in $\Omega$ (see \cite{Da02} as well).
 The point of the current paper is to give conditions
 guaranteeing the same quality of the solutions to \eqref{R} when the
 ratio $\omega_{\infty}/\nu$ is admitted to be arbitrary
 and  no lower bound
 for the constant of ellipticity $\nu$ is needed
 (we remind that if the constant $M$ is given, then $\omega_{\infty}\leq 2M$).

 The main results are stated in two theorems. The first of them refers that
 if $\omega_{\infty}/\nu$ is small enough, the solutions to
 \eqref{R} are regular. This result is not very surprising
 but, moreover, an upper bound $C_{cr}$ (although probably not optimal)
 of $\omega_{\infty}/\nu$ is designed there (see \eqref{T} below).
 If $\omega_{\infty}/\nu>C_{cr}$, then a sufficient condition
 for regularity of solutions to the system \eqref{R} is given
 in Theorem \ref{Th2}. A basic advantage of condition \eqref{T1}
 below is that it admits
 (for sufficiently big ellipticity constant $\nu$)
 an arbitrary growth of the continuity modulus
 $\omega=\omega(t)$ when $t$ is near by zero.
 Here it is needful to note that Theorem \ref{Th2} works likewise when
 $\nu$ is small but, in this case, the modulus of continuity $\omega$
 has to grow slowly enough.
 Many proofs of regularity results for systems like the system \eqref{R}
  are based on a certain excess-decay estimate for the excess
  function $U_r(x)$ (in our case this function is defined by
  \eqref{Exc} below). The key assumption of the excess-decay estimate is
  that $U_r(x)$ has to be sufficiently small on a ball
  $B_r(x)\Subset\Omega$. On the other hand, our
 condition \eqref{T1} does not suppose smallness of the excess
 function $U_r(x)$ (see Remark \ref{Re2} below).
 We would like to note that more delicate estimates
 and careful designing of some parameters in proofs
 allow us to state these results in a much simpler
 form than in \cite{DJS07}.

 Various conditions, guaranteeing the regularity of weak solutions,
 were studied by Giaquinta and Ne\v{c}as in \cite{GiaNe79,GiaNe81} 
(the Liouville's condition for regularity formulated
 through $L^{\infty}$-spaces), Dan\v{e}\v{c}ek in \cite{Da84}
 (the Liouville's condition for regularity formulated through $BMO$-spaces),
 Chipot and Evans in \cite{ChiEv86} and Koshelev in \cite{Kos95}.
 Koshelev's condition, interpreted according to the assumptions
 (ii) and (iii), is the following :
 If it is supposed that
 $nNM|\xi|^{2}\geq A_{ij}^{\alpha\beta}(p)\xi_{\alpha}^{i}\xi_{\beta}^{j}
 \ge\nu|\xi|^{2}$ for every $p$, $\xi\in\mathbb{R}^{nN}$,
 $A_{ij}^{\alpha\beta}=A_{ji}^{\beta\alpha}$ and
 \begin{equation*}
 \frac{M}{\nu}<\frac{1}{nN}
 \frac{\sqrt{1+\frac{(n-2)^2}{n-1}}+1}
 {\sqrt{1+\frac{(n-2)^2}{n-1}}-1},
 \end{equation*}
 then any solution to \eqref{R} has the locally H\"{o}lder continuous
 gradient in $\Omega$. It is proved in \cite{Kos95} that the
 above condition is sharp. The same result is proved, by an
 another method which is based on an estimate of the gradient of solution
 in a suitable weighted Morrey space, in \cite{Leona99}.
 Further results concerning the local (and global as well) H\H
 older regularity of the solutions and the dispersion of the
 eigenvalues of the coefficients matrix of elliptic systems can be
 found in \cite{LeKoSt05,Leona04}.
 On the other hand, the last
 mentioned condition does not cover the linear systems with constant
 coefficients and the large dispersion of the eigenvalues of
 $A_{ij}^{\alpha\beta}$, while every linear system with constant
 coefficients satisfies the conditions \eqref{T} and \eqref{T1} as well.
 Chipot and Evans in \cite{ChiEv86} consider the
 variational problem and assume that $A_{ij}^{\alpha\beta}(p)$
 tend to a constant matrix for $p$ tending to infinity.
 Thus the modulus of continuity of $A_{ij}^{\alpha\beta}(p)$ approaches
 zero for sufficiently large $p$ while our assumption requires
 that its changes are small enough. Herein we would like to note that,
 as far as we know, the above mentioned condition from the paper
 \cite{ChiEv86} was for the first time employed in \cite{Da84}.

 The methods of proving  main results follow the standard
 procedures used in the direct proofs of the partial regularity.
 The novelty is an employment of special complementary Young functions
 which allows us (through a modification
 of the Natanson's Lemma - see Lemma \ref{L6} below) to get some key estimates.
 As a consequence of our proof of the main result (Theorem \ref{Th2} below)
 we obtain the partial regularity result concerning the more precise
 identification of the singular set of the weak solution to \eqref{R}.
 As it is known (see \cite{Gia83,Ne83,Ham98,DuGro00}),
 the singular set of the weak solution to \eqref{R} is characterized
 as follows
 \begin{equation*}
 \Omega_{\rm sing}=\big\{x\in\Omega :
 \liminf_{r\to 0} -\hskip-10pt \int_{B_{r}(x)}
  |Du(y)-(Du)_{x,r}|^{2}\, dy>0\big\}.
 \end{equation*}
 Our description of the singular set $\Omega\setminus\Omega_{\mathcal{R}}$,
 from Theorem \ref{Th3} below, indicates clearly that
 $\Omega\setminus\Omega_{\mathcal{R}}\subsetneq \Omega_{\rm sing}$
 and the constant which describes
 $\Omega\setminus\Omega_{\mathcal{R}}$ is computable.

 Four examples, illustrating above mentioned results, are
 given at the end of the paper. The first one presents a system which our results can
  be applied to. The second and the third of them
 show  typical samples of modulus of continuity that our main
 result deals with. The fourth one indicates that the
 regularity of gradient of boundary data, which is considerably
 weaker than the Campanato's one, does not admit the singularities of
 the weak solutions to \eqref{R} in a subdomain.

 \section{Main results}

 By $\Omega_0\Subset\Omega$ we will understand any bounded
 subdomain $\Omega_0$ which is compactly embedded into $\Omega$
 (i.e. $\Omega_0\subset\overline{\Omega}_0\subset\Omega$)
 and the boundary $\partial\Omega_0$ is smooth.
 For $x\in\Omega$, $r>0$ such that $B_{r}(x)=\left\{y\in\mathbb{R}^n:
 |y-x|<r\right\}\subset\Omega$
 we set
 \begin{gather}\label{Exc}
 \begin{aligned}
  U_{r}(x)&= \frac{1}{m(B_{r}(x))}
 \int_{B_{r}(x)}\,|Du(y)-(Du)_{x,r}|^{2}\, dy\\
 &:=-\hskip-10pt \int_{B_{r}(x)}|Du(y)-(Du)_{x,r}|^{2}\, dy,
 \end{aligned}
\\
 \phi(x,r)=\int_{B_{r}(x)}|Du(y)-(Du)_{x,r}|^{2}\, dy, \notag
 \end{gather}
 where $(Du)_{x,r}=-\hskip-9pt \int_{B_r(x)} Du(y)\, dy$
 and $\kappa_{n}$ is the $n$ - dimensional Lebesgue measure
 of the unit ball.

 \begin{theorem}\label{Th1}
 Let $n\le\vartheta<n+2$, $\Omega_0\Subset\Omega$ with
 $\operatorname{dist}(\Omega_0,\partial\Omega)\ge d>0$ be given.
 Let $u$ be a weak solution to the Dirichlet problem
 \eqref{R} where $g\in W^{1,2}(\Omega)$ and the hypotheses
 (i), (ii), (iii), (iv) be satisfied with $M$, $\nu$
 and the function $\omega$ for which
 \begin{equation}\label{T}
 \frac{\omega_{\infty}}{\nu}
 \le\frac{1}{\sqrt{8n^{2}N^{2}(2^{n+5}L)^{\frac{\vartheta}
 {n+2-\vartheta}}}}:=C_{cr}
 \end{equation}
 where the constant $L$ is given in Lemma \ref{L5} below. Then
 \begin{equation}\label{TTT}
 \|Du\|_{\mathcal{L}^{2,\vartheta}(\Omega_0,\mathbb{R}^{nN})}
 \le cd_{\vartheta}^{-\vartheta}\|Dg\|_{L^{2}(\Omega,\mathbb{R}^{nN})}
 \end{equation}
 for some $0<d_{\vartheta}\le d$. The norm
 $\|Du\|_{\mathcal{L}^{2,\vartheta}(\Omega_0,\mathbb{R}^{nN})}$
 is defined in Definition \ref{def1} below.
 \end{theorem}

 \begin{remark}\label{Re1}
 {\rm
 The inequality \eqref{TTT} implies that
 $Du\in BMO(\Omega_0,\mathbb{R}^{nN}))$ for $\vartheta=n$
 and $Du\in C^{0,(\vartheta-n)/2}(\Omega_0,\mathbb{R}^{nN}))$
 for $n<\vartheta<n+2$.
 }
 \end{remark}

 For the rest of this article, we  always suppose that
 $\omega_{\infty}/\nu > C_{cr}$.

 \begin{theorem}\label{Th2}
 Let $\Omega_0\Subset\Omega$
 with $\operatorname{dist}(\Omega_0,\partial\Omega)\ge 2d>0$
 and $n\le\vartheta<n+2$ be given.
 Let $u$ be a weak solution to the Dirichlet problem \eqref{R}
 where $g\in W^{1,2}(\Omega)$ and the hypotheses
 (i), (ii), (iii), (iv) be satisfied
 with $M$, $\nu$ and the function $\omega$. Then the condition
 \begin{equation} \label{T1}
 \frac{1}{5}\mathcal{M}c_0
 \sqrt{U_{2d}(x)}\le 1,\quad\forall\ x\in\Omega_0
 \end{equation}
 where $0<c_0\le 1$ and
 \[
 \mathcal{M}=\sup_{t_0<t<\infty}\frac{\frac{\omega^{2}(t)}{\varepsilon}
 \,\mathrm{e}^{(\frac{\omega^{2}(t)}
 {2\sqrt{\mu}\varepsilon})^{2/(2\mu-1)}}
 -\mathrm{e}^{(\frac{1}{2\sqrt{\mu}})^{2/(2\mu-1)}}}{t-t_0}
 \]
 implies that $Du\in C^{0,(\vartheta-n)/2}(\Omega_0,\mathbb{R}^{nN})$
 in the case $\vartheta>n$ and $Du\in BMO(\Omega_0,\mathbb{R}^{nN})$
 for $\vartheta=n$. Here $t_0>0$, $\omega(t_0)=\sqrt{\varepsilon}$,
 $\varepsilon>0$ is specified in \eqref{EPS} where the
 constant $\epsilon_0=\frac{1}{4(2^{n+5}L)^{\vartheta/(n+2-\vartheta)}}$
 ($L$ is the constant from Lemma \ref{L5}) and $\mu\ge 2$.
 \end{theorem}

 \begin{remark}\label{Re2}
 {\rm
 As it is visible from the condition \eqref{T1},
 an appropriate choice of the constant $c_0$ guarantees the
 regularity even if the excess $U_{2d}$
 is not assumed to be very small in $\Omega_0$. Moreover, the term
 $(U_{2d}(x))^{1/2}$ in \eqref{T1} can be replaced with
 $\|Du\|_{L^{2}(\Omega,\mathbb{R}^{nN})}/(2d)^{n/2}$
 or, in the case of the Dirichlet problem \eqref{R}, with
 $C_D^{1/2}\|Dg\|_{L^{2}(\Omega,\mathbb{R}^{nN})}/(2d)^{n/2}$
 where $C_D$ is from \eqref{DI}.
 See Example \ref{Exam2} and \ref{Exam3} for additional information.
 }
 \end{remark}

 \begin{remark}\label{Re3}
 {\rm
 It can be seen (according to the assumption (iii)) that
 $\mathcal{M}$ is finite.
 On the parameter $\mu$ we only quote that its main goal is to damp
 the exponential growth. A structure of the Young functions  in
 \eqref{YF} and the estimates \eqref{I1} - \eqref{II2} below indicate
 a role of $\mu$. It is visible from these estimates that it is
 possible to find a value of the parameter $\mu$ which is optimal
 in some measure.
 }
 \end{remark}

 The next theorem is a straightforward consequence of Theorem \ref{Th2}.
 It presents the well-known partial regularity result but unlike the
 other partial regularity results this theorem describes the
 so-called singular set a little bit more precisely.
 \begin{theorem}\label{Th3}
 Let $n<\vartheta<n+2$ be given and
 $u\in W^{1,2}_{loc}(\Omega,\mathbb{R}^N)$
 be a weak solution to the system \eqref{R}.
 Let the hypotheses (i), (ii), (iii), (iv) be satisfied
 with $M$, $\nu$ and the function $\omega$.
 Then there exists an open set
 $\Omega_{\mathcal{R}}\subset\Omega$ such that
 $u\in C^{1,(\vartheta-n)/2}(\Omega_{\mathcal{R}},\mathbb{R}^N)$,
 and $\mathcal{H}^{n-2}(\Omega\setminus\Omega_{\mathcal{R}})=0$,
 where $\mathcal{H}^{n-2}$ is the $(n-2)$ - dimensional Hausdorff measure.
 Moreover,
 \begin{equation}\label{ReP}
 \Omega\setminus\Omega_{\mathcal{R}}
 =\big\{x\in\Omega\, :\liminf_{r\to 0} -\hskip-10pt \int_{B_{r}(x)}
 |Du(y)-(Du)_{x,r}|^{2}\, dy
 \geq
 (\frac{5}{\mathcal{M}c_0})^{2}\big\}
 \end{equation}
 where the constants $\mathcal{M}$ and $c_0$ are defined
 in Theorem \ref{Th2}.
 \end{theorem}

 \section{Preliminaries}

 Besides the  spaces
 $C_0^{\infty}(\Omega,\mathbb{R}^N)$, the
 H\"{o}lder spaces $C^{0,\alpha}(\overline{\Omega},\mathbb{R}^N)$
 and the Sobolev spaces $W^{k,p}(\Omega,\mathbb{R}^N)$,
 $W_0^{k,p}(\Omega,\mathbb{R}^N)$, we use the Campanato spaces
 $\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)$
 (see Definition \ref{def1} below).
  By $X_{loc}(\Omega,\mathbb{R}^N)$ we denote
 the space of functions which belong to
 $X(\widetilde{\Omega},\mathbb{R}^N)$
 for every subdomain $\widetilde{\Omega}\Subset
  \Omega$ with a smooth boundary.

 \begin{definition}[\cite{KJF77}]\label{def1} \rm
 Let $\lambda\in [0,n+q]$, $q\in [1,\infty)$.
 The Campanato space $\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)$
 is the subspace of such functions
 $u\in L^q(\Omega,\mathbb{R}^N)$ for which
 $$
 [u]_{\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)}^q
 =\sup_{r>0,x\in\Omega}
 \frac{1}{r^\lambda}\int_{\Omega_{r}(x)}
 | u(y)-u_{x,r}|^q\, dy<\infty
 $$
 where  $u_{x,r}=-\hskip-9pt \int_{\Omega_{r}(x)} u(y)\, dy$
 and $\Omega_{r}(x)=\Omega\cap B_{r}(x)$.
 The norm in the space $\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)$
 is defined by $\|u\|_{\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)}
 =\|u\|_{L^q(\Omega,\mathbb{R}^N)}
 +[u]_{\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)}$.
 \end{definition}

 \begin{proposition}[\cite{Ca80,Gia83,KJF77}]\label{prop1}
 For a bounded domain $\Omega\subset\mathbb{R}^n$ with a Lipschitz
 boundary, for $q\in[1,\infty)$ and $0<\lambda<\mu<\infty$
 the relation $\mathcal{L}^{q,\mu}(\Omega,\mathbb{R}^N)
 \subset\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)$ holds
 and $\mathcal{L}^{q,\lambda}(\Omega,\mathbb{R}^N)$
 is isomorphic to the
 $C^{0,(\lambda-n)/q}(\overline\Omega,\mathbb{R}^N)$,
 for $n<\lambda\le n+q$.
 \end{proposition}

 Now, let $\Phi$, $\Psi$ be a pair of the complementary Young functions
 \begin{equation}\label{YF}
 \Phi(u)=u\ln_{+}^{\mu}(au),\quad
 \Psi(u)\le\overline{\Psi}(u)
 =\frac{1}{a}u\mathrm{e}^{(\frac{u}{2\sqrt{\mu}})^{2/(2\mu-1)}}
 \quad\text{for } u\ge 0
 \end{equation}
 where $a>0$ and $\mu\ge 2$ are constants,
 \begin{equation}
 \ln_{+}(au)= \begin{cases}
 0  &\text{for } 0\le u< 1/a,\\
 \ln(au)  &\text{for } u\ge 1/a.
 \end{cases}
\end{equation}
Then the Young inequality for $\Phi$, $\Psi$ reads
 \begin{equation}\label{YIN}
 uv\le\Phi(u)+\Psi(v),\quad u,v\ge 0.
 \end{equation}

 \begin{lemma}[{\cite[pg.37]{Zi89}}]\label{Zi}
 Let $\phi: [0,\infty)\to[0,\infty)$ be a nondecreasing
 function which is absolutely continuous on every closed interval
 of finite length, $\phi(0)=0$. If $w\ge 0$ is measurable and
 $E(t)=\{y\in\mathbb{R}^n: w(y)>t\}$ then
 \[
 \int_{\mathbb{R}^n}\phi\circ w\, dy
 =\int_0^{\infty}\, m\big(E(t)\big)\phi'(t)\, dt.
 \]
 \end{lemma}

 The next Lemma will be employed in the proof of Theorem \ref{Th2}.

 \begin{lemma}[{\cite[pg.388]{Da02}}] \label{LDA3}
 Let $v\in L^{2}_{\mathrm{loc}}(\Omega,\mathbb{R}^N)$, $N\ge 1$,
 $B_{r}(x)\Subset\Omega$, $b>0$ and $s\in(1,+\infty)$.
 Then
 \begin{equation*}
 \int_{B_{r}(x)}\,\ln_{+}^{s}(b|v|^{2})\, dy
 \le s\big(\frac{s-1}{e}\big)^{s-1}b
 \int_{B_{r}(x)}\,|v|^{2}\, dy.
 \end{equation*}
 \end{lemma}

 The following Lemma is a small modification of \cite[Lemma 1.IV]{Ca80}.

 \begin{lemma}\label{L3}
 Let $A$, $R_0\le R_1$ be positive numbers,
 $n\le\vartheta<n+2$, $\eta$ a nonnegative and nondecreasing
 function on $(0,\infty)$.
 Then there exist $\epsilon_0$, $c$ positive so that for any nonnegative,
 nondecreasing function $\phi$ defined on $[0,2R_1]$ and satisfying with
 $(B_1+B_2\eta(U_{2R_0}))\in[0,\epsilon_0]$ the inequality
 \begin{equation}\label{AL1}
 \phi(\sigma)\leq\big\{A(\frac{\sigma}{R})^{n+2}
 +\frac{1}{2}\big(1+A(\frac{\sigma}{R})^{n+2}\big)
 [B_1+B_2\eta(U_{2R})]\big\}\phi(2R)
 \end{equation}
 for all $\sigma$, $R$ such that $0<\sigma<R\le R_0$, it holds
 \begin{equation}\label{AL2}
 \phi(\sigma)\leq c\sigma^{\vartheta}\phi(2R_0),
 \quad\forall\sigma\,:\, 0<\sigma\le R_0.
 \end{equation}
 \end{lemma}
 \begin{remark}
 {\rm
 Note that we can take
 \begin{equation*}
 \epsilon_0=\frac{1}{2(2^{n+3}A)^{\frac{\vartheta}{n+2-\vartheta}}},
 \quad c=\Big(\frac{(2^{n+3}A)^{\frac{1}{n+2-\vartheta}}}
 {2R_0}\Big)^{\vartheta}.
 \end{equation*}
 }
 \end{remark}

 \begin{proof}
 I. Without loss of generality we can suppose that $A\ge 1$.
 Choose $\tau\in(0,1)$ so that $2^{n+3}A\tau^{n+2-\vartheta}=1$,
 i.e. $\tau=(\frac{1}{2^{n+3}A})^{1/(n+2-\vartheta)}$,
 $\epsilon_0=\tau^{\vartheta}/2$.

 II. We will prove by induction that
 \begin{equation}\label{PAL1}
 \phi(2\tau^{k}R_0)\le\tau^{k\vartheta}\phi(2R_0),
 \quad U_{2\tau^{k}R_0}\le U_{2R_0}.
 \end{equation}
 Let $k=1$. Putting $\sigma=2\tau R_0$, $R=R_0$ in \eqref{AL1}
 we obtain thanks to the assumptions on $\tau$, $B_1$,
 $B_2\eta$, $\epsilon_0$, that
 \begin{align*}
 &\phi(2\tau R_0)\\
 &\le\big\{2^{n+2}A\tau^{n+2}
 +\frac{1}{2}(1+A(2\tau)^{n+2})
 [B_1+B_2\eta(U_{2R_0})]\big\}\phi(2R_0)
 \\
 &\le\tau^{\vartheta}\big\{2^{n+2}A\tau^{n+2-\vartheta}
 +\frac{1}{2}(1+2^{n+2}A\tau^{n+2-\vartheta})
 [B_1+B_2\eta(U_{2R_0})]
 \tau^{-\vartheta}\big\}\phi(2R_0)
 \\
 &\le\tau^{\vartheta}\Big(2^{n+2}A\tau^{n+2-\vartheta}
 +\frac{3}{4}\epsilon_0\tau^{-\vartheta}\Big)
 \phi(2R_0)\\
&\le\tau^{\vartheta}\phi(2R_0).
\end{align*} 
 Therefore,
 \begin{equation*}
 U_{2\tau R_0}\leq U_{2R_0}.
 \end{equation*}
 Suppose \eqref{PAL1} is valid for $j=1,\ldots,k$ and put
 $\sigma=2\tau^{k+1}R_0$, $R=\tau^{k}R_0$ into \eqref{AL1}.
 We obtain
 \[
 \phi(2\tau^{k+1}R_0)
 \le\big\{2^{n+2}A\tau^{n+2}+\frac{1}{2}(1+A(2\tau)^{n+2})
 [B_1+B_2\eta(U_{2\tau^{k}R_0})]\big\}\phi(2\tau^{k}R_0).
 \]
 Using now \eqref{PAL1} for $j=k$, choice of $\tau$,
 assumptions on $B_1$, $B_2\eta$, $\epsilon_0$ and estimates of
 $\phi(2\tau^{k}R_0)$ we have
 \begin{align*}
 \phi(2\tau^{k+1}R_0)
 &\le \Big(2^{n+2}A\tau^{n+2-\vartheta}
 +\frac{3}{4}\epsilon_0\tau^{-\vartheta}\Big)
 \tau^{\vartheta}\phi(2\tau^{k}R_0)\\
 &\le \tau^{\vartheta}\phi(2\tau^{k}R_0)
 =\tau^{\vartheta(k+1)}\phi(2R_0).
 \end{align*}
 As $\vartheta\ge n$ it immediately implies
 the estimate $U_{2\tau^{k+1}R_0}\le U_{2R_0}$
 and we have \eqref{PAL1}.

 III. Now let $\sigma$ be an arbitrary positive number less than $R_0$.
 Then there is an integer $k$ such
 that $2\tau^{k+1}R_0\le\sigma<2\tau^{k}R_0$.
 Using the monotonicity of $\phi$, this inequality
 and \eqref{PAL1} we obtain
 \begin{equation*}
 \phi(\sigma)\leq\phi(2\tau^k R_0)\le\tau^{k\vartheta}\phi(2R_0)
 \le\sigma^{\vartheta}\frac{1}{(2\tau R_0)^{\vartheta}}\phi(2R_0).
 \end{equation*}
  If we set $c=(2\tau R_0)^{-\vartheta}$ in this estimate, the
  proof is complete.
\end{proof}

 In the proof of  Theorem \ref{Th2} we will use a modification
 of the Natanson's Lemma \cite[pg.262]{Nat74}.
 It reads as follows.

 \begin{lemma}\label{L6}
  Let $f :[a,\infty)\to\mathbb{R}$ be a nonnegative function which
 is integrable on $[a,b]$ for all $a<b<\infty$ and
 \begin{equation*}
 \mathcal{N}=\sup_{0<h<\infty}
 \frac{1}{h}\int_{a}^{a+h}\, f(t)\, dt<\infty
 \end{equation*}
 is satisfied.
 Let $g :[a,\infty)\to\mathbb{R}$ be an arbitrary nonnegative,
 non-increasing and integrable function. Then
 \begin{equation*}
 \int_{a}^{\infty}\, f(t)g(t)\, dt
 \end{equation*}
 exists and
 \begin{equation*}
 \int_{a}^{\infty}\, f(t)g(t)\, dt
 \le\mathcal{N}\int_{a}^{\infty}\, g(t)\, dt\,.
 \end{equation*}
 \end{lemma}

 \begin{remark}\label{Re4}
 {\rm
 The foregoing estimate is optimal because if we put $f(t)=1$,
 $t\in[a,\infty)$ then an equality will be achieved.
 }
 \end{remark}

\begin{proof}
 For $a<b<\infty$ we put
 \begin{equation*}
 \mathcal{N}_{b}=\sup_{0<h\le b-a}
 \frac{1}{h}\int_{a}^{a+h}\, f(t)\, dt<\infty\, .
 \end{equation*}
 The integral
 $\int_{a}^{b}\, f(t)g(t)\, dt$
 exists because $f(t)g(t)\leq g(a)f(t)$, for almost all $t\geq a$.
 If we put $F(t)=\int_{a}^{t}\, f(s)\, ds$
 and use the integration by parts and the fact that
 $F(t)\leq (t-a)\mathcal{N}_{b}$, we obtain
 \begin{align*}
 \int_{a}^{b}\, f(t)g(t)\, dt
 &=\int_{a}^{b}\, F'(t)g(t)\, dt
 =F(b)g(b)+\int_{a}^{b}\, F(t)(-g'(t))\, dt\\
  &\leq\mathcal{N}_{b}\Big[(b-a)g(b)
 +\int_{a}^{b}\,(t-a)(-g'(t))\, dt\Big]
 =\mathcal{N}_{b}\int_{a}^{b}\, g(t)\, dt\, .
 \end{align*}
 For an increasing sequence $\{b_{k}\}_{k=1}^{\infty}$ such that
 $b_{k}>a$ and $\lim_{k\to\infty}b_{k}=\infty$ put
 \begin{equation*}
 f_{k}(t)= \begin{cases}
 f(t)  &\text{for } a\leq t\le b_{k}\\
 0 &\text{for } b_{k}<t<\infty\,
 \end{cases}
 \quad\textrm{and}\quad
 g_{k}(t)= \begin{cases}
 g(t) &\text{for } a\leq t\le b_{k}\\
 0 &\text{for } b_{k}<t<\infty\, .
 \end{cases}
  \end{equation*}
 It is clear that if $k\to\infty$ then $f_kg_k\to fg$ a.e. in
 $[a,\infty)$ and
 \begin{equation*}
 \int_{a}^{\infty}\, f_k(t)g_k(t)\, dt
 =\int_{a}^{b_k}\, f(t)g(t)\, dt
 \leq \mathcal{N}_{b_k}\int_{a}^{b_k}\,g(t)\,dt
 \leq\mathcal{N}\int_{a}^{\infty}\,g(t)\, dt.
 \end{equation*}
 Now the Fatou's Lemma implies the result.
 \end{proof}

In the proof of the next proposition we employ the following form
of the Cacciopoli's inequality, which is possible to derive by
the difference quotient method (see \cite {Gia83}, pg.43-46).
For the weak solution to the system \eqref{R} it holds
 \begin{equation}\label{Cacc}
 \int_{B_{\sigma}(x)}| D^{2}u|^{2}\, dy
 \le\frac{C_{Cacc}}{(\varrho-\sigma)^{2}}
 \int_{B_{\varrho}(x)}|Du-(Du)_{x,\varrho}|^{2}\, dy
 \end{equation}
where
 $x\in\Omega,\ 0<\sigma<\varrho\le\operatorname{dist}(x,\partial\Omega))$,
 $C_{Cacc}=16n^{2}N^{2}(M/\nu)^{2}$.

 \begin{proposition}\label{prop2}
 Let $u\in W^{1,2}(\Omega,\mathbb{R}^N)$ be a weak solution
 to the system \eqref{R}.
 Then for every ball $B_{2R}(x)$, $x\in\Omega$
 and arbitrary constants $b>0$, $\mu\ge 2$, $c_1$,
 $c_2\in\mathbb{R}$ we have
 \begin{align*}
&\int_{B_{R}(x)}|Du(y)-(Du)_{B_{R}(x)}|^{2}
 \ln_{+}^{\mu}(b|Du(y)-c_1|^{2})\, dy\\
&\le C_{P}^{2}C_{Cacc}\Big(C_{q\mu}b -\hskip-10pt \int_{B_{R}(x)}
 |Du(y)-c_1|^{2}\, dy\Big)^{1-1/q}
 \int_{B_{2R}(x)}|Du(y)-c_2|^{2}\, dy
 \end{align*}
where $1<q\le n/(n-2)$,
$C_{q\mu}=\frac{q\mu\kappa_{n}}{q-1}  (\frac{(\mu-1)q+1}{(q-1)\mathrm{e}})
 ^{\frac{(\mu-1)q+1}{q-1}}$ and $C_{P}(n,q)$ is
 the Sobolev - Poincar\`{e} constant.
 \end{proposition}

\begin{proof}
 Let $x\in\Omega$ and $0\le R\le\operatorname{dist}(x,\partial\Omega)/4$.
 We denote $B_{R}=B_{R}(x)$ for simplicity.
 By means of the H\"{o}lder inequality with $q\le n/(n-2)$,
 the Sobolev - Poincar\`{e}'s and the Caccioppoli's inequalities we obtain
 \begin{align*}
 & \int_{B_{R}}|Du-(Du)_{B_{R}}|^{2}
 \ln_{+}^{\mu}(b|Du-c_1|^{2})\, dy\\
 &\le\Big(\int_{B_{R}}
 |Du-(Du)_{B_{R}}|^{2q}\, dy\Big)^{1/q}
 \Big(\int_{B_{R}}
 \ln^{q\mu/(q-1)}_{+}(b|Du-c_1|^{2})
 \, dy\Big)^{1-1/q}
 \\
 &\le C_{P}^{2}R^{n(-1+1/q)+2}\int_{B_{R}}|D^{2}u|^{2}
 \Big(\int_{B_{R}}
 \ln^{q\mu/(q-1)}_{+}(b|Du-c_1|^{2}) \, dy\Big)^{1-1/q}\\
 &\le C_{P}^{2}C_{Cacc}\Big(-\hskip-10pt \int_{B_{R}}
 \ln^{q\mu/(q-1)}_{+}(b|Du-c_1|^{2})
 \, dy\Big)^{1-1/q}
 \int_{B_{2R}}|Du-c_2|^{2}\, dy
 \end{align*}
 and finally, we obtain the result by means of Lemma \ref{LDA3}.
\end{proof}

 The next Lemma \ref{L5} is well known;
 see, e.g.  \cite{Ca80,Gia83,Ne83}.

 \begin{lemma}\label{L5}
 Let $v\in W^{1,2}(\Omega,\mathbb{R}^N)$
 be a weak solution to the linear system with constant coefficients of
 the type \eqref{R} satisfying (ii) and (iii).
 Then there exists a constant $L=c_{L}(n,N)(M/\nu)^{2(n+1)}$
 such that for every $x\in\Omega$ and
 $0<\sigma\le R\le\operatorname{dist}(x,\partial\Omega)$ the estimate
 \begin{equation*}
 \int_{B_{\sigma}(x)}|Dv(y)-(Dv)_{x,\sigma}|^{2}\, dy
 \le L(\frac{\sigma}{R})^{n+2}
 \int_{B_{R}(x)}|Dv(y)-(Dv)_{x,R}|^{2}\, dy
 \end{equation*}
 holds.
 \end{lemma}

 \section{Proofs of theorems}

\begin{proof}[Proof of Theorem \ref{Th1}]
 At first we recall that we set $\phi(r)=\phi(x_0,r)
 =\int_{B_{r}(x_0)}|Du-(Du)_{x_0,r}|^{2}\, dx$
 for $B_{r}(x_0)\subset\Omega$.
 Now let $x_0$ be any fixed point of $\overline{\Omega}_0\subset\Omega$,
 with $\operatorname{dist}(\Omega_0,\partial\Omega)\geq d>0$ and let $0<R\le d$.
 Where no confusion can raise, we will use the notation
 $B_{R}$, $\phi(R)$ and $(Du)_R$
 instead of $B_{R}(x_0)$, $\phi(x_0,R)$ and $(Du)_{x_0,R}$.
 Denoting by $A^{\alpha\beta}_{ij,0}=A_{ij}^{\alpha\beta}((Du)_{R})$,
 \begin{equation*}
 \widetilde{A}^{\alpha\beta}_{ij}
 =\int_0^{1} A_{ij}^{\alpha\beta}
 ((Du)_{R}+t(Du-(Du)_{R}))\, dt
 \end{equation*}
 we can rewrite the system \eqref{R} as
 \begin{equation*}
 -D_\alpha\Big(A^{\alpha\beta}_{ij,0}D_{\beta}u^{j}\Big)
 =-D_{\alpha}\Big(\big(A^{\alpha\beta}_{ij,0}
 -\widetilde{A}^{\alpha\beta}_{ij}\big)\big(D_{\beta}u^{j}
 -(D_{\beta}u^{j})_{R}\big)\Big).
 \end{equation*}
 Split $u$ as $v+w$ where $v$ is the solution to the Dirichlet
 problem
 \begin{eqnarray*}
  & -D_\alpha\Big(A^{\alpha\beta}_{ij,0}
     D_\beta v^j\Big)=0\quad \text{in } B_{R}\\
  & v-u\in W_0^{1,2}(B_{R},\mathbb{R}^N)
 \end{eqnarray*}
 and $w\in W_0^{1,2}(B_{R},\mathbb{R}^N)$
 is the weak solution of the system
 \begin{equation*}
 -D_\alpha\Big(A^{\alpha\beta}_{ij,0}D_{\beta}w^{j}\Big)
 =-D_{\alpha}\Big(\big(A^{\alpha\beta}_{ij,0}
 -\widetilde{A}^{\alpha\beta}_{ij}\big)\big(D_{\beta}u^{j}
 -(D_{\beta}u^{j})_{R}\big)\Big).
 \end{equation*}
 For every $0<\sigma\le R$ it follows from Lemma \ref{L5} that
 \begin{equation*}
 \int_{B_{\sigma}}|Dv-(Dv)_{\sigma}|^{2}\, dx
 \le L(\frac{\sigma}{R})^{n+2}
 \int_{B_{R}}|Dv-(Dv)_{R}|^{2}\, dx
 \end{equation*}
 hence
 \begin{align*}
&\int_{B_{\sigma}}|Du-(Du)_{\sigma}|^{2}\, dx\\
&\le 2L(\frac{\sigma}{R})^{n+2}
 \int_{B_{R}}|Dv-(Dv)_{R}|^{2}\, dx
 +2\int_{B_{R}}|Dw|^{2}\, dx\\
&\le 4L(\frac{\sigma}{R})^{n+2}
 \int_{B_{R}}|Du-(Du)_{R}|^{2}\, dx
 +2(1+2L(\frac{\sigma}{R})^{n+2})
 \int_{B_{R}}|Dw|^{2}\, dx.
\end{align*}
Now $w\in W_0^{1,2}(B_{R},\mathbb{R}^N)$ satisfies
 \begin{align*}
&\int_{B_{R}}A^{\alpha\beta}_{ij,0}
 D_{\beta}w^{j} D_{\alpha}\varphi^{i}\, dx\\
&\le\int_{B_{R}}|A^{\alpha\beta}_{ij,0}
 -\widetilde{A}^{\alpha\beta}_{ij}|
 |D_{\beta}u^{j}-(D_{\beta}u^{j})_{R}|
 |D_{\alpha}\varphi^{i}|\, dx\\
&\le nN\Big(\int_{B_{R}}\omega^{2}(|Du-(Du)_{R}|)
 |Du-(Du)_{R}|^{2}\, dx\Big)^{1/2}
 \Big(\int_{B_{R}}|D\varphi|^{2}\, dx\Big)^{1/2}
 \end{align*}
 for any $\varphi\in W_0^{1,2}(B_{R},\mathbb{R}^N)$.
 Choosing $\varphi=w$, we obtain
 \begin{equation*}
 \nu^{2}\int_{B_{R}}|Dw|^{2}\, dx
 \le n^2N^2\int_{B_{R}}\omega^{2}(|Du-(Du)_{R}|)
 |Du-(Du)_{R}|^{2}\, dx.
 \end{equation*}
 Now
 \begin{equation} \label{PTh1}
 \begin{aligned}
 \phi(\sigma)
 &=\int_{B_{\sigma}}|Du-(Du)_{\sigma}|^{2}\, dx\\
&\le 4L(\frac{\sigma}{R})^{n+2}
 \int_{B_{R}}|Du-(Du)_{R}|^{2}\, dx
 \\
&\quad +\frac{2n^2N^2(1+2L(\frac{\sigma}{R})^{n+2})}{\nu^{2}}
 \int_{B_{R}}\omega^{2}(|Du-(Du)_{R}|)
 |Du-(Du)_{R}|^{2}\, dx.
\end{aligned}
\end{equation}
 As $\omega$ is bounded by $\omega_{\infty}$,
 we can deduce from \eqref{PTh1} that
 \begin{equation*}
 \phi(\sigma)\le\big[4L(\frac{\sigma}{R})^{n+2}
 +\frac{1}{2}(1+4L(\frac{\sigma}{R})^{n+2})
 4n^{2}N^{2}(\frac{\omega_{\infty}}{\nu})^{2}\big]\phi(R)
 \end{equation*}
for any $0<\sigma<R<d$.
 Following Lemma \ref{L3} we put $A=4L$, $B_2=0$ and
 $B_1= 4n^{2}N^{2}(\frac{\omega_{\infty}}{\nu})^{2}$.
 Now the assumptions of Lemma \ref{L3} will be fulfilled if
 \begin{equation*}
 4n^{2}N^{2}(\frac{\omega_{\infty}}{\nu})^{2}\le\epsilon_0\, .
 \end{equation*}
 Using \eqref{T} we can conclude
 (taking into account \eqref{DI}, \eqref{DIR} as well)
 that the result follows in a standard way.
\end{proof}


\begin{proof}[Proof of Theorem \ref{Th2}]
 We recall again that we set $\phi(r)=\phi(x_0,r)
 =\int_{B_{r}(x_0)}|Du-(Du)_{x_0,r}|^{2}\, dx$ and
 $U_{r}=U_{r}(x_0)= -\hskip-9pt \int_{B_{r}(x_0)}
|Du(x)-(Du)_{x_0,r}|^{2}\, dx$
 for $B_{r}(x_0)\subset\Omega$.
 Let $x_0$ be any fixed point of $\overline{\Omega}_0\subset\Omega$,
 $\operatorname{dist}(\Omega_0,\partial\Omega)\geq 2d>0$,
 $B_{2R}(x_0)\subset\Omega$. Following the first part of the proof
 of Theorem \ref{Th1} step by step, we obtain the estimate \eqref{PTh1}.

To estimate the last integral in \eqref{PTh1}
 we use the Young inequality \eqref{YIN}
 (here complementary functions are defined through \eqref{YF}) and for any
 $0<\varepsilon<\omega_{\infty}^{2}$  we obtain
 \begin{equation}\label{P2}
\begin{aligned}
 &\int_{B_{R}}\omega^{2}(|Du-(Du)_{R}|)
 |Du-(Du)_{R}|^{2}\, dx
 \\
 &\le\varepsilon\int_{B_{R}}|Du-(Du)_{R}|^{2}
 \ln_{+}^{\mu}\big(a\varepsilon|Du-(Du)_{R}|^{2}\big)\, dx
 +\int_{B_{R}}\overline{\Psi}
 (\frac{\omega_{R}^{2}}{\varepsilon})\, dx
 \\
 &=\varepsilon I_1+I_2
\end{aligned}
 \end{equation}
 where $\omega_{R}^{2}(x)=\omega^{2}(|Du(x)-(Du)_{R}|)$.

 The term $I_1$ can be estimated by means
 of Proposition \ref{prop2} and we obtain
 \begin{equation} \label{I1}
 I_1\le C_{P}^{2}C_{Cacc}C_{q\mu}^{1-1/q}
 (2^na\varepsilon U_{2R})^{1-1/q}\phi(2R)
 =K(a\varepsilon U_{2R})^{1-1/q}\phi(2R)
 \end{equation}
 where $1<q\le n/(n-2)$ and
 $K=C_{P}^{2}C_{Cacc}(2^nC_{q\mu})^{1-1/q}$.

 Applying Lemma \ref{Zi} to the second integral $I_2$  we have
 \begin{equation}\label{I2}
 I_2=\int_{B_{R}}\overline{\Psi}
 (\frac{\omega_{R}^{2}}{\varepsilon})\, dx
 =\frac{1}{a}\int_0^{\infty}
 \,\frac{d}{dt}\widetilde{\Psi}(\frac{\omega^{2}(t)}
 {\varepsilon})m_{R}(t)\, dt:=\frac{1}{a}\widetilde{I}_2
 \end{equation}
 where
 \begin{equation*}
 \widetilde{\Psi}(\frac{\omega^{2}(t)}{\varepsilon})
 =\frac{\omega^{2}(t)}{\varepsilon}
 \mathrm{e}^{(\frac{\omega^{2}(t)}
 {2\sqrt{\mu}\,\varepsilon})^{2/(2\mu-1)}}
 \quad\text{for } t>0
 \end{equation*}
 and $m_{R}(t)=m(\{y\in B_{R}(x_0)
 :|Du-(Du)_{R}|>t\})$.

 Using the estimate
 $m_{R}(t)\le\kappa_{n}R^n$, $\kappa_{n}$ is the Lebesgue measure
 of the unit ball, we have (we use Lemma \ref{L6})
 \begin{align}
 \widetilde{I}_2&\le\int_0^{t_0}
 \,\frac{d}{dt}\widetilde{\Psi}
 (\frac{\omega^{2}(t)}{\varepsilon})m_{R}(t)\, dt
 +\int_{t_0}^{\infty}
 \,\frac{d}{dt}\widetilde{\Psi}
 (\frac{\omega^{2}(t)}{\varepsilon})m_{R}(t)\, dt
 \nonumber \\
 &\le\kappa_{n}R^n\int_0^{t_0}
 \,\frac{d}{dt}\widetilde{\Psi}
 (\frac{\omega^{2}(t)}{\varepsilon})\, dt
 +\sup_{t_0<t<\infty}\Big(\frac{1}{t-t_0}
 \int_{t_0}^{t}
 \,\frac{d}{ds}\widetilde{\Psi}
 (\frac{\omega^{2}(s)}{\varepsilon})\, ds\Big)
 \int_{t_0}^{\infty}\, m_{R}(s)\, ds
  \nonumber\\
 &\le\kappa_{n}\widetilde{\Psi}
 \big(\frac{\omega^{2}(t_0)}{\varepsilon}\big)R^n
 +\sup_{t_0<t<\infty}
 \Big[\frac{\widetilde{\Psi}(\frac{\omega^{2}(t)}{\varepsilon})
 -\widetilde{\Psi}\big(\frac{\omega^{2}(t_0)}{\varepsilon}\big)}
 {t-t_0}\Big]\int_{B_{R}}|Du-(Du)_{R}|\, dx
  \nonumber\\
 &\le\frac{\kappa_{n}}{2^nU_{2R}}
 \widetilde{\Psi}\big(\frac{\omega^{2}(t_0)}{\varepsilon}\big)\phi(2R)
 +\frac{\mathcal{M}}{2^{n/2}}\kappa_{n}^{1/2}(2R)^{n/2}\phi^{1/2}(2R)
 \nonumber \\
 &<\Big[\frac{\widetilde{\Psi}(\frac{\omega^{2}(t_0)}
 {\varepsilon})}{U_{2R}}
 +\frac{\mathcal{M}}{\sqrt{U_{2R}}}\Big]\phi(2R)
\label{II2}
 \end{align}
 where
 \begin{equation}\label{Nat}
 \mathcal{M}=\sup_{t_0<t<\infty}
 \frac{\widetilde{\Psi}(\frac{\omega^{2}(t)}{\varepsilon})
 -\widetilde{\Psi}\big(\frac{\omega^{2}(t_0)}{\varepsilon}\big)}{t-t_0}.
 \end{equation}
 If for some $R>0$ the average $U_{R}=0$ then it is clear
 that $x_0$ is the regular point.
 So in the next we can suppose $U_{R}$ is positive for all $R>0$.

 Inserting \eqref{P2}--\eqref{II2} into \eqref{PTh1} yields
 \begin{equation} \label{I3}
\begin{aligned}
 \phi(\sigma)
&\le 4L(\frac{\sigma}{R})^{n+2}\phi(R)
 +2n^{2}N^{2}(1+2L(\frac{\sigma}{R})^{n+2})
 \\
&\times[\frac{\varepsilon\, K}
 {\nu^{2}}(2^na\varepsilon U_{2R})^{1-1/q}
 +\frac{1}{a\nu^{2}}(\frac{\widetilde{\Psi}
 \big(\frac{\omega^{2}(t_0)}{\varepsilon}\big)}{U_{2R}}
 +\frac{\mathcal{M}}{\sqrt{U_{2R}}})]\phi(2R).
 \end{aligned}
\end{equation}
 In \eqref{I3} we can choose
 \begin{equation*}
 a=\frac{16\mathrm{e}n^{2}N^{2}}{\epsilon_0\nu^{2}c_0\, U_{2R}}
 \quad\text{for } U_{2R}>0
 \end{equation*}
 where $0<c_0\le 1$ be an arbitrary constant and
 \begin{align}\label{EPS}
 \varepsilon=\epsilon_0^{\alpha}\nu^{\beta}
 \end{align}
 where $\alpha$, $\beta\in\mathbb{R}$ are constants,
 $\epsilon_0=\frac{1}{4(2^{n+5}L)^{\vartheta/(n+2-\vartheta)}}$
 (we remind that $\omega^{2}(t_0)=\varepsilon$).

 Then  for $U_{2R}>0$, we obtain
\begin{equation} \label{I5}
 \begin{aligned}
 \phi(\sigma)
&\le 4L(\frac{\sigma}{R})^{n+2}\phi(R)
 +\frac{1}{2}\Big(1+2L(\frac{\sigma}{R})^{n+2}\Big)\\
&\quad\times\big[KK_1\epsilon_0^{\alpha+(\alpha-1)(1-1/q)}
\nu^{(\beta-2)(2-1/q)}
 +\frac{\epsilon_0}{4\mathrm{e}^{2}}
 \big(\mathrm{e}+\mathcal{M}\,\sqrt{U_{2R}}\big)\big]\phi(2R)
  \\
 &=4L\big(\frac{\sigma}{R}\big)^{n+2}\phi(R)
 +\frac{1}{2}\Big(1+2L(\frac{\sigma}{R})^{n+2}\Big)\\
&\quad\times \big[KK_1(\epsilon_0^{\alpha-1}\nu^{\beta-2})^{2-1/q}
 +\frac{c_0}{4}+\frac{\mathcal{M}}{4\mathrm{e}}c_0\,\sqrt{U_{2R}}\big]
 \epsilon_0\phi(2R)
 \end{aligned}
\end{equation}
 where $K_1=4n^{2}N^{2}(2^{n+4} \mathrm{e}n^{2}N^{2}/c_0)^{1-1/q}$.

 The constants $\alpha$ and $\beta$ can be always chosen in such a way that
 \begin{equation*}
 KK_1(\epsilon_0^{\alpha-1}\nu^{\beta-2})^{2-1/q}
 \le\frac{1}{4}
 \end{equation*}
and finally we have
 \begin{equation}\label{I7}
 \phi(\sigma)\le 4L(\frac{\sigma}{R})^{n+2}\phi(R)
 +\frac{1}{2}\big(1+2L(\frac{\sigma}{R})^{n+2}\big)
 \big(\frac{1}{2}
 +\frac{1}{10}\mathcal{M}c_0\,\sqrt{U_{2R}}\big)\epsilon_0\phi(2R).
 \end{equation}
 We can put
 \begin{equation*}
 B_1=\frac{1}{2}\epsilon_0,
 \quad B_2=\frac{1}{10}\mathcal{M}\epsilon_0
 \end{equation*}
 and if we take into account  assumption \eqref{T1}
 of Theorem \ref{Th2} we can use Lemma \ref{L3}.
\end{proof}

\begin{proof}[Proof of Theorem \ref{Th3}]
 Let $x_0\in\Omega_{\mathcal{R}}$ and $R_1>0$ be chosen in such
 a way that $B_{2R_1}(x_0)\subset\Omega$ and let $0<R<R_1$.
 Using the same procedure as in the proof of Theorem \ref{Th2}
 gives us the estimates \eqref{I7}.
 As $x_0\in\Omega_{\mathcal{R}}$, it is clear that there exists
 $0<R_0<R_1$ such that
 $U_{2R_0}(x_0)<25/(\mathcal{M}c_0)^{2}$
 and so \eqref{T1} is satisfied
 and we can use Lemma \ref{L3} in the same way as at the end of the
 proof of Theorem \ref{Th2}. The claim then follows in a standard way
 (see, e.g. \cite[Chapter VI]{Da02}. 
\end{proof}


 \section{Illustrating examples and comments}

 \begin{example}[\cite{DJS06}] \label{Exam1} 
 {\rm
 A class of systems where the above results can be applied is the
 class of the perturbed linear elliptic systems.
 Suppose $\mathcal{L} = (L_{ij}^{\alpha \beta})_{i,j,\alpha,\beta = 1}^n$
 is symmetric positive definite constant matrix such that
 \begin{equation*}
 \lambda |\xi|^{2}\leq L_{ij}^{\alpha\beta}
 \xi_{\alpha}^{i}\xi_{\beta}^{j}
 \end{equation*}
 and put
 \begin{equation*}
 A_i^{\alpha}(p)=L_{ij}^{\alpha\beta}p_{\beta}^{j}
 +m(\sin\sqrt{|p_{\alpha}^{i}|}-\sqrt{|p_{\alpha}^{i}|}\cos
 \sqrt{|p_{\alpha}^{i}|})
 \end{equation*}
 where $0<m\le\lambda$.
 The modulus of continuity $\omega$ from (iv) has the form
 \begin{equation*}
 \omega(t)= \begin{cases}
 \frac{1}{2}m\sqrt{t}  &\text{for } 0\le t\le 4,\\
 m &\text{for } t>4.
 \end{cases}
  \end{equation*}
 If $m$ is chosen in a suitable way (with respect to $\lambda$)
 then our results can guarantee the interior regularity of the
 gradient of weak solution to the Dirichlet problem \eqref{R}.
 }
 \end{example}

 \begin{example}\label{Exam2}
 {\rm
 To illustrate some parameters from the proof
 of Theorem \ref{Th2} we can consider the following modulus of continuity
 \begin{equation*}
 \omega(t)= \begin{cases}
 \omega_0(t)=\frac{(1+s)^{s}\sqrt{\varepsilon}}
 {(1+\ln\frac{t_0\mathrm{e}^{s}}{t})^{s}}
 \quad &\text{for } 0<t\le t_0,\ s>0,\\
  \omega_1(t)=\sqrt{\varepsilon}\, kt^{\gamma},
  &\text{for } t_0<t\le t_1,\; 0<\gamma\le 1,\; k>0\\
 \omega_{\infty}\ &\text{for } t>t_1
 \end{cases}
 \end{equation*}
 where $\varepsilon>0$ is from \eqref{EPS},
 $\omega_0(t_0)=\omega_1(t_0)=\sqrt{\varepsilon}<\omega_{\infty}$.

 For $\mathcal{M}$ from \eqref{Nat} (see \eqref{I2} and \eqref{I3} as well)
 where $\omega$ is the above function we obtain the estimate
 \begin{align*}
 \mathcal{M}
&=\sup_{t_0<t<t_1}\frac{\widetilde{\Psi}
 (\frac{\omega^{2}(t)}{\varepsilon})
 -\widetilde{\Psi}(\frac{\omega^{2}(t_0)}
 {\varepsilon})}{t-t_0}\\
 &=k^{2}\,\sup_{t_0<t<t_1}\frac{t^{2\gamma}
 \mathrm{e}^{(\frac{k^{2}t^{2\gamma}}
 {2\sqrt{\mu}})^{\frac{2}{2\mu-1}}}-t_0^{2\gamma}
 \mathrm{e}^{(\frac{1}{2\sqrt{\mu}})^{\frac{2}{2\mu-1}}}}
 {t-t_0}.
 \end{align*}
 }
 \end{example}

 \begin{example}\label{Exam3}
 {\rm
 As an another typical sample of the function $\omega=\omega(t)$
 considered
 in Theorem \ref{Th2}, we can take  modulus of continuity
 \begin{equation}\label{EX2}
 \omega(t)= \begin{cases}
 \omega_0(t)=\frac{(1+s)^{s}\sqrt{\varepsilon}}
 {(1+\ln\frac{t_0\mathrm{e}^{s}}{t})^{s}}
 &\text{for } 0<t\le t_0,\ s>0,
 \\
 \omega_1(t)=\sqrt{\varepsilon\ln(1+\theta(t))},
 &\text{for}\quad t_0<t\le t_1,\\
 \vspace{-2mm}\\
 \omega_{\infty}\quad &\text{for } t>t_1
 \end{cases}
  \end{equation}
 where $\varepsilon>0$ is from \eqref{EPS},
 $\omega_0(t_0)=\omega_1(t_0)=\sqrt{\varepsilon}<\omega_{\infty}$,
 $\theta(t)$ is a suitable increasing function such that
 $\lim_{t\to t_0^{+}}\theta(t)=\mathrm{e}-1$.
 For $\mathcal{M}$ defined by \eqref{Nat}, where $\omega$
 is the above function, we obtain
 \begin{align*}
 \mathcal{M}
&=\sup_{t_0<t<t_1}\frac{\widetilde{\Psi}
 (\frac{\omega^{2}(t)}{\varepsilon})
 -\widetilde{\Psi}\big(\frac{\omega^{2}(t_0)}{\varepsilon}\big)}
 {t-t_0}
  \\
 &=\sup_{t_0<t<t_1}
 \frac{(1+\theta(t))^{\frac{1}{2\sqrt{\mu}}
 [\frac{1}{2\sqrt{\mu}}
 \ln(1+\theta(t))]^{-1+\frac{2}{2\mu-1}}}
 \ln(1+\theta(t))
 -\mathrm{e}^{(\frac{1}{2\sqrt{\mu}})^{\frac{2}{2\mu-1}}}}
 {t-t_0}.
 \end{align*}
 If we choose $\mu=2$, $t_0\ge 1$
 and $\theta(t)=\Theta(\mathrm{e}^{2}+t)^{\ln^{1/3}(1+t)}$
 ($\Theta>0$ is a constant), we can see that $\mathcal{M}\le 1$
 for $t_0<t<t_1$.
 In this case the condition (\eqref {T1} takes the form
 \begin{equation*}
 \frac{1}{5}c_0\sqrt{U_{2d}(x)}\le 1
 \,,\quad\forall\ x\in\Omega_0\, .
 \end{equation*}
 }
 \end{example}

 \begin{example}\label{Exam4}
 {\rm
 In $\Omega=B_{R}(0)\subset\mathbb{R}^n$
 (the fact, that the ball $B_{R}$ is centered at zero,
 has no importance for next considerations)
 we consider the Dirichlet problem \eqref{R} for
 $g\in W_{\mathrm{loc}}^{1,2}(\mathbb{R}^n,\mathbb{R}^N)$
 and, moreover, we assume that for $0\le\lambda\le n+2$ the estimate
 $R^{-\lambda}\int_{B_{R}(0)}|Dg-(Dg)_{0,R}|^{2}\, dy
 \le c(\lambda)$,
 with $c(\lambda)>0$ holds. Then, choosing
 $\Omega_0=B_{r}(0)$, $0<r<R$ and $d=(R-r)/2$,
 the condition \eqref{T1} will have the form
 \begin{equation}\label{EX3}
 \frac{1}{5}\mathcal{M}c_0
 \Big(C_D\, c(\lambda)\kappa_{n}^{-1}(1-\frac{r}{R})^{-n}
 \, R^{\lambda-n}\Big)^{1/2}\le 1,\quad\forall\ x\in B_{r}(0)
 \end{equation}
 where the constant $C_D$ is from the estimate \eqref{DIR}.
 If the function $\omega$ is defined by \eqref{EX2}
 then the condition \eqref{T1} will have the form
 \begin{equation}\label{EX4}
 \frac{1}{5}c_0\Big(C_D\,
 c(\lambda)\kappa_{n}^{-1}(1-\frac{r}{R})^{-n}
 \, R^{\lambda-n}\Big)^{1/2}\le 1,
 \quad\forall\ x\in B_{r}(0).
 \end{equation}
 The last two conditions show that a suitable choice of $R$ and
 $\lambda$ gives regularity of solution in $\Omega_0=B_{r}(0)$.
 }
 \end{example}

 \section{Appendix}

\begin{proof}[Proof of the estimate \eqref{DI}]
 Denote by $A_{ij}^{\alpha\beta}(p)
 =\partial A_i^{\alpha}(p)/\partial p_{j}^{\beta}$
 and put
 \begin{equation*}
 \widetilde{A}^{\alpha\beta}_{ij}
 =\int_0^{1} A_{ij}^{\alpha\beta}(tDu)\, dt.
 \end{equation*}
 Then we have
 \begin{align*}
 0&=-D_{\alpha}(A_i^{\alpha}(Du))
 =-D_{\alpha}[A_i^{\alpha}(Du)-A_i^{\alpha}(0)]\\
 &=-D_{\alpha}\Big(\int_0^{1}\frac{d}{dt}
 A_i^{\alpha}(tDu)\, dt\Big)
 =-D_{\alpha}\Big(\int_0^{1}\, A_{ij}^{\alpha\beta}(tDu)
 D_{\beta}u^{j}\, dt\Big)\\
 &=-D_{\alpha}(\widetilde{A}^{\alpha\beta}_{ij}
 D_{\beta}u^{j}).
 \end{align*}
 Now the definition of the weak solution to \eqref{R} has the form
 \begin{equation*}
 0=\int_{\Omega}\widetilde{A}^{\alpha\beta}_{ij}D_{\beta}u^{j}
 D_{\alpha}\varphi^{i}\,dx,\quad \forall\,\varphi\in
 W_0^{1,2}(\Omega,\mathbb{R}^N).
 \end{equation*}
Setting $\varphi=u-g$ into the previous equality and using
 (ii), (iii) we obtain
 \begin{equation*}
 \nu\int_{\Omega}|Du|^{2}\,dx
 \leq M\sum_{i,\alpha}\sum_{j,\beta}
 \int_{\Omega}|D_{\beta}u^{j}||D_{\alpha}g^{i}|\, dx.
 \end{equation*}
The estimate
 \begin{equation*}
 \sum_{k=1}^{nN}|c_k|
 \leq\Big(nN\sum_{k=1}^{nN}|c_k|^{2}\Big)^{1/2},
 \quad c_{k}\in\mathbb{R}
 \end{equation*}
 leads to
 \begin{equation*}
 \nu\int_{\Omega}|Du|^2\,dx
 \leq nNM\Big(\int_{\Omega}\, |Du|^{2}\,dx\Big)^{1/2}
 \Big(\int_{\Omega}\, |Dg|^{2}\, dx\Big)^{1/2}.
 \end{equation*}
 The estimate \eqref{DI} follows from the above
 inequality. 
\end{proof}

\begin{proof}[Proof of the estimate\eqref{DIR}]
 Denote by $A_{ij}^{\alpha\beta}(p)
 =\partial A_i^{\alpha}(p)/\partial p_{j}^{\beta}$
 and put
 \begin{equation*}
 \widetilde{A}^{\alpha\beta}_{ij}
 =\int_0^{1}\, A_{ij}^{\alpha\beta}
 ((Dg)_{\Omega}+t(Du-(Dg)_{\Omega}))\, dt.
 \end{equation*}
 The same procedure as above gives
 \begin{equation*}
 0=-D_{\alpha}(A_i^{\alpha}(Du)) 
= -D_{\alpha}[A_i^{\alpha}(Du)-A_i^{\alpha}((Dg)_{\Omega})] 
=  -D_{\alpha}(\widetilde{A}^{\alpha\beta}_{ij}
 (D_{\beta}u^{j}-(D_{\beta}g^{j})_{\Omega})).
\end{equation*}
 Now the definition of weak solution to \eqref{R} is
 \begin{equation*}
 0=\int_{\Omega}\widetilde{A}^{\alpha\beta}_{ij}
 (D_{\beta}u^{j}-(D_{\beta}g^{j})_{\Omega})
 D_{\alpha}\varphi^{i}\, dx,
 \quad\forall\,\varphi\in W_0^{1,2}(\Omega,\mathbb{R}^N).
 \end{equation*}
 Setting
 $\varphi^{i}
 =[(u^{i}-(D_{\alpha}g^{i})_{\Omega}x_{\alpha})
 -(g^{i}-(D_{\alpha}g^{i})_{\Omega}x_{\alpha})]$
 we have
 \begin{equation*}
 0=\int_{\Omega}\widetilde{A}^{\alpha\beta}_{ij}
 (D_{\beta}u^{j}-(D_{\beta}g^{j})_{\Omega})
 [(D_{\alpha}u^{i}-(D_{\alpha}g^{i})_{\Omega})
-(D_{\alpha}g^{i}-(D_{\alpha}g^{i})_{\Omega})]\,dx
 \end{equation*}
 and finally (as in the proof of the estimate \eqref{DI}) we obtain
 $$
 \int_{\Omega}|Du-(Dg)_{\Omega}|^{2}\,dx\leq
 n^{2}N^{2}(\frac{M}{\nu})^{2}
\int_{\Omega}|Dg-(Dg)_{\Omega}|^{2}\,dx.
$$
Now the estimate
 $$
 \int_{\Omega}|Du-(Du)_{\Omega}|^{2}\,dx
 \leq\int_{\Omega}|Du-c|^{2}\,dx,
 \quad \forall c\in\mathbb{R}
 $$
 gives the result.
\end{proof}

\subsection*{Acknowledgments}
 The authors want to thank the anonymous referees
 for their valuable suggestions and remarks which contribute 
to improve the manuscript.

E. Viszus was supported grant 1/0507/11 from the
 Slovak Grant Agency

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