\documentclass[reqno]{amsart}

\AtBeginDocument{{\noindent\small
2004-Fez conference on Differential Equations and Mechanics \newline
{\em Electronic Journal of Differential Equations},
Conference 11, 2004, pp. 157--166. \newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu  (login: ftp)}
\thanks{\copyright 2004 Texas State University - San Marcos.}
\vspace{9mm}}
\setcounter{page}{157}

\begin{document}

\title[\hfilneg EJDE/Conf/11 \hfil Approximation of discontinuous curves]
{Approximation of discontinuous curves and surfaces by
discrete splines with tangent conditions}

\author[A. Kouibia, M. Pasadas\hfil EJDE/Conf/11\hfilneg]
{Abdelouahed Kouibia, Miguel Pasadas} % in alphabetical order

\address{Abdelouahed Kouibia \hfill\break
Centre d'Etudes Universitaire de Taza, Taza, Maroc}
\email{kouibia@ugr.es}

\address{Miguel Pasadas \hfill\break
   Departamento de Matem\'atica Aplicada \\
   ETSI Caminos, C. y P. \\
   Universidad de Granada\\
   Severo Ochoa s/n,    E-18071 Granada, Spain}
\email{mpasadas@ugr.es Fax (34) 958 243131}

\date{}
\thanks{Published October 15, 2004.}
\subjclass[2000]{65D07, 65D10, 65D17}
\keywords{Discrete smoothing; curve; surface; discontinuity; spline;
 \hfill\break\indent tangent condition}

\begin{abstract}
 This paper concerns the construction of a discontinuous
 parametric curve or surface from a finite set of points
 and tangent conditions. The method is adapted from the theory
 of the discrete smoothing variational splines to introduce a
 discontinuity set and some tangent conditions. Such method is
 justified by a convergence result.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newcommand{\abs}[1]{|#1|}
\newcommand{\norm}[1]{\|#1\|}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{definition}[theorem]{Definition}
\newtheorem{remark}[theorem]{Remark}

\section{Introduction}

The problem of the construction of discontinuous parametric curves
and surfaces  from some Lagrangean points  and a set of tangent
spaces is frequently encountered in CAGD, Geology, and other
Earth Sciences.

The authors in \cite{11} present a smoothing method for fitting
parametric surfaces from sets of data points and tangent planes.
In those  papers and in  \cite{6,8,9,11}, the corresponding
original curves or/and surfaces that are approximated do not
present any discontinuities.
So for its practical interest, we introduce some
discontinuity in order to study an approximation problem of
discontinuous curves and surfaces.

In this paper we present a discrete version of the previous problem
in a finite element space by minimizing a quadratic functional
from a set of Lagrangean data and another one of tangent
conditions. The approximation of discontinuous functions from a
set of scattered data points is usually a two steps: first, a
detection algorithm is applied to localize the discontinuity
sets, then the functions are reconstructed using a fitting
method. In this work we propose a method for the second stage,
based on the computation of discrete smoothing variational
splines \cite{8}.

Specially, we study the following problem: given a differentiable
function $f$ in a subset $\Omega'$ of an open set $\Omega \subset
\mathbb{R}^p$ with values in $\mathbb{R}^n$, $1 \leq p < n\leq 3$,
whose first partial derivatives or she can present discontinuity
in a subset $F$ of $\overline{\Omega}$, such that $\Omega'=\Omega
\backslash {\overline{F}}$, construct a function $\sigma$ that
approximates $f$ in the given Lagrangean points of $\Omega'$ and
whose tangent spaces at the points of an other given set of
$\Omega'$ are close to the tangent spaces of $f$ at the same
points. To do this, firstly using the work of  Arcang\'{e}li,
Manzanilla and  Torrens \cite{1}, we determine certain hypotheses
about the set $\Omega'$ that allows to model the contingent
discontinuities of $f$. Secondly, we study a method of smoothness
which results from adapting to this context the theory of the
discrete smoothing variational splines (c.f. \cite{8}).


In Section 2, we briefly recall  preliminary notation and some
results.  We study the problem of discrete smoothing variational
splines with tangent conditions in Section 3.  Section 4 is
devoted to compute such spline and to prove a convergence result.

\section{Notation}

We denote by $\langle\cdot\rangle_{\mathbb{R}^n}$
and $\langle\,\cdot\,,\,\cdot\,\rangle_{\mathbb{R}^n}$
respectively, the Euclidean norm and the inner product in
$\mathbb{R}^n$, with $n$, $m$ and $p$ belonging to
$\mathbb{N}^{*}$. We denote by $\overline{E}$, $\delta E$ and
$\mbox{card} E$ respectively, the adherence, the bounded and the
cardinal of $E$ for each subset $E$ of $\mathbb{R}^p$. Let us
consider $\mathbb{R}^{N,n}$ the space of real matrices with $N$
rows and $n$ columns equipped with the inner product
\[
\langle A,B\rangle
_{N,n}=\sum_{i=1}^{N}\sum_{j=1}^{n}a_{ij}b_{ij}
\]
and the corresponding norm
\[
\langle A\rangle_{N,n}=\langle
A,A\rangle_{N,n}^{1/2}.
\]
For all $\alpha=(\alpha_1,\dots,\alpha_p) \in \mathbb{N}^p$, we
write $ | \alpha |=\sum_{i=1}^{p} \alpha_i$
and we indicate by $\partial^{\alpha}$ the operator of partial
derivative
\[
 \partial^{\alpha}=\frac{\partial^{|
\alpha|}}{\partial x_1^{\alpha_1} \dots \partial x_p^{\alpha_p}}
\]

Let $\omega$ be a nonempty open bounded set of $\mathbb{R}^p$ and
we denote by $H^m(\omega;\mathbb{R}^n)$ the usual Sobolev space of
(classes of) functions $u$ belonging to
$L^2(\omega;\mathbb{R}^n)$, together with all their partial
derivative $\partial^{\alpha} u$ --in the distribution sense-- of
order $ |\alpha| \leq m$. This space is equipped with the inner
product of order $\ell$
\[
 ( \, u \, , \, v \,
)_{\ell,\omega,\mathbb{R}^n}=\Big( \sum_{| \alpha | =
\ell} \int_{\omega} \langle
\partial^{\alpha} u(x),\partial^{\alpha} v(x)  \rangle_{\mathbb{R}^n}
\Big)^{1/2},\quad \ell=0,\dots,m,
\]
the corresponding semi--norms of order $\ell$
\[
|\,u\,|_{\ell,\omega,\mathbb{R}^n}=( \, u \, , \, u \,
)_{\ell,\omega,\mathbb{R}^n}^{1/2},\ \ell=0,\dots,m,
\]
the norm
\[
 \| \, u \, \|_{m,\omega,\mathbb{R}^n}=\Big(
\sum_{\ell=0}^{m} |\,u\,|^2_{\ell,\omega,\mathbb{R}^n}\Big)^{1/2}
\]
and the corresponding inner product
\[
((\,u\,,\,v\,))_{m,\omega,\mathbb{R}^n}=\sum_{\ell=0}^{m}
(\,u\,,\,v\,)_{\ell,\omega,\mathbb{R}^n}.
\]
Given a function $f: \omega \to \mathbb{R}^n$, we denote by
$\mbox{Im} D f(x)$ the image of the differential of $f$ at the
point $x\in \omega$, when this exists, i. e. the linear subspace
generated by $\{ \partial^{\alpha} f(x) \, : \, | \alpha |=1 \}$.
Furthermore, if $1\leq p < n \leq 3$, we can consider $f$ as the
parameterization of a curve ($p=1$) or a surface ($p=2$) and, if
$f$ is differentiable at $x\in \omega$, the space $\mbox{Im} D
f(x)$  is called the tangent space of $f$ at $x$, sometimes  when
$p=2$ it is written by $T_{x}(f)=span\langle D_1 f (x),D_2 f(x)
\rangle$, where $D_1 f$ and $D_2 f$ denote the first partial
derivatives of $f$.


\section{Discrete variational spline over $\Omega'$ with tangent conditions}

The first step in order to develop this work is to have an
adequate characterization over a set of discontinuity. Let us
introduce the following definition due to R. Arcang\'{e}li, R.
Manzanilla and J. J. Torrens \cite{1}.

\begin{definition} \label{def3.1} \rm
Let $\Omega$ be a bounded open connected set of $\mathbb{R}^p$
with Lipschitz boundary and let $F$ be a nonempty subset of
$\overline{\Omega}$ such that, there exists a finite family $\{
R_1,\dots,R_I\}$ of open connected subsets of $\Omega$ with
Lipschitz boundary, verifying the following conditions:

\begin{itemize}
\item[(i)] for all $i,j=1,\dots,I,\ i\neq j,\ R_i\cap R_j=\emptyset$;
\item[(ii)] $\bigcup_{i=1}^I \overline{R}_i=\overline{\Omega}$;
\item[(iii)] $F\subset \delta R$, where $\cup_{i=1}^I {R}_i=R$;
\item[(iv)] $F$ is contained in the interior of $\delta{\Omega}$
(equipped of the induced topology by $\mathbb{R}^p$) of $F \cap
\delta \Omega$;
\item[v)] the interior in $\delta R$ of $\overline{F}\cap \Omega$ is contained in
$F$;
\item[vi)] $\overline{F}\cap \delta \Omega$ is contained in $F$.
\end{itemize}
It is said that the family $\{ R_1,\dots,R_I\}$ represents $F$ in
$\Omega$ and we write $\Omega'=\Omega\backslash \overline{F}$.
\end{definition}

We denote by $C^k_F(\Omega';\mathbb{R}^n)$ the space of functions
$\varphi \in C^k(\Omega';\mathbb{R}^n)$ such that
\[
\forall i=1,\dots,I,\ \varphi |_{\strut R_i} \in
C^k(\overline{R}_i;\mathbb{R}^n).
\]
Such space is equipped by the norm
\begin{equation} \label{3.1}
\| \varphi \|_{C^k_F(\Omega';\mathbb{R}^n)}= \max_{1\leq i
\leq I } \| \varphi |_{\strut R_i}
\|_{C^k(\overline{R}_i;\mathbb{R}^n)}\,.
\end{equation}
Now, we suppose that
\begin{equation} \label{1}
m > \frac{p}{2}+1.
\end{equation}
Let $\Upsilon_0$ be a curve or surface parameterized by a function
$f\in H^m(\Omega';\mathbb{R}^n)$, and $A_1$, $A_2$ be two ordered
finite subsets of, respectively, $N_1$ and $N_2$ distinct points
of $\overline{\Omega}$. For any $a\in A_1$, let us consider the
linear form defined on $C_F^0(\Omega';\mathbb{R}^n)$ by
\begin{equation}  \label{2}
\phi_a v=\begin{cases}
v(a) & \mbox{if }  a\in A_1\backslash F, \\
 v|_{\strut R_i}(a) & \mbox{if }  a\in A_1 \cap R_i \cap F,\ 1\leq i\leq I,
\end{cases}
\end{equation}
and, for any $a\in A_2$ let $\Pi_a$ be the operator defined on
$C^1_F(\Omega';\mathbb{R}^n)$  by
\begin{equation} \label{3}
\Pi_a v= \begin{cases}
\big(P_{S_a^{\bot}} (\frac {\partial v} {\partial
x_j}(a))\big)_{1\leq j\leq p} & \mbox{if }  a\in A_2\backslash F,\ 1\leq i\leq I, \\
\big(P_{S_a^{\bot}} \big( \frac {\partial v|_{\strut R_i}}
{\partial x_j}(a) \big) \big)_{1\leq j\leq p} & \mbox{if }
a\in A_2\cap R_i\cap F,\ 1\leq i\leq I,
\end{cases}
\end{equation}
where, for any $a\in A_2$, $P_{S_a^{\bot}}$ is the operator
projection onto $S_a^{\bot}$, being $S_a^{\bot}$ the orthogonal
complement of the linear space $S_a=\mbox{ImD}f(a)$. Finally, let
\[
L v=\left( \phi_a v \right)_{a\in A_1} \, \mbox{ and }\, \Pi
v=\left( \Pi_a v \right)_{a\in A_2}
\]
and we suppose that
\begin{equation} \label{4}
\mbox{Ker} L\cap \tilde{P}_{m-1}(\Omega';\mathbb{R}^n)=\{ 0 \}
\end{equation}
where $\tilde{P}_{m-1}(\Omega';\mathbb{R}^n)$ designs the space of
functions over $\Omega'$ into $\mathbb{R}^n$ that are polynomials of total
degree $\leq m-1$ respect to the set of variables over each
connected component of $\Omega'$.

Now, suppose we are given:
\begin{itemize}

\item a subset $\mathcal{H}$ of $(0,+\infty)$ with $0$ is an
accumulation point;

\item for all $h\in \mathcal{H}$, a partition $\mathcal{T}_h$ of
$\overline{\Omega}$ made with rectangles or triangles $K$ of
disjoint interiors and diameter $h_K \leq h$ such that
\begin{gather}
\forall \, K \in \mathcal{T}_h,\ \overset{\circ }{K} \cap F=\emptyset;
\label{n1} \\
\mbox{each side of $K$ is a side of another $K'$
or a part of $\delta \Omega$ or a part of $F$;} \label{n2}
\end{gather}

\item for any $h\in \mathcal{H}$, a finite element space $X_h$
constructed on $\mathcal{T}_h$ such that
\begin{equation}
X_h \subset H^m(\Omega') \cap C_F^k(\Omega'),\, k+1 \geq m; \label{n3}
\end{equation}

\item for any $h\in \mathcal{H}$, a parametric finite element space $V_h$
constructed from ${X}_h$ by $V_h=(X_h)^n$, and from (\ref{n3})
satisfies
\begin{equation}
V_h \subset H^m(\Omega';\mathbb{R}^n) \cap
C_F^k(\overline{\Omega'};\mathbb{R}^n). \label{n4}
\end{equation}
\end{itemize}

Now, given  $\tau \geq 0$ and $\varepsilon >0$,  let
$J_{\varepsilon \tau }$ be the functional defined on $V_h$ by
\begin{equation} \label{def.J}
J_{\varepsilon \tau }(v)=\langle Lv-Lf\rangle _{N_1,
n}^2+\tau \langle \Pi v\rangle^2 _{N_2,p n}+\varepsilon
\left|  v \right| _{m,\Omega',\mathbb{R}^n}^2.
\end{equation}

\begin{remark} \label{rmk3.1} \rm
 We observe that the functional $J_{\varepsilon \tau }(v)$ contains
different terms which can be interpreted as follows:
\begin{itemize}
\item The first term, $\langle Lv-Lf\rangle_{N_1,n}^2$, indicates how well $v$ approaches $f$ in a
discrete least squares sense.

\item The second term, $\langle \Pi v\rangle^2 _{N_2,p n}$,  indicates how well,
for any point $a\in A_2$, the tangent spaces Im$Df(a)$ and
Im$Dv(a)$ are really close.

\item  The last term, $|v|^2_{m,\Omega',\mathbb{R}^n}$, measures the degree of smoothness of $v$
in order to reduce, as much as possible, any unwanted
oscillations.
\end{itemize}
We note that the parameters $\tau$ and $\varepsilon$ control the
relative weights corresponding, respectively, to the last two
terms.
\end{remark}


Now, we consider the following minimization problem:\\
Find an approximating curve or surface $\Upsilon$ of $\Upsilon_0$
parameterized by a function $\sigma_{\varepsilon \tau}^h$
belonging to $V_h$ from the data $\{f(a): a\in A_1\}$ and $\{ S_a
:a\in A_2 \}$, such that $\sigma_{\varepsilon \tau }^h$ minimizes
the functional $J_{\varepsilon \tau}$ on $V_h$, i.e. find
$\sigma_{\varepsilon \tau }^h$ such that
\begin{equation}  \label{5}
\sigma_{\varepsilon \tau }^h\in V_h, \quad
\mbox{and for all } v\in V_h,\quad J_{\varepsilon \tau }(\sigma_{\varepsilon
\tau }^h)\leq J_{\varepsilon \tau }(v).
\end{equation}

\begin{theorem}\label{th4.1}
The problem (\ref{5}) has a
unique solution, called  discrete smoothing variational
spline with tangent conditions in $\Omega'$ relative to $A_1$,
$A_2$, $f$, $\tau$ and $\varepsilon$, which is also the unique
solution of the following variational problem: \\
Find $\sigma_{\varepsilon \tau }^h$ such that
$\sigma_{\varepsilon \tau }\in V_h$ and for all $v\in V_h$,
\[
\langle L\sigma_{\varepsilon \tau}^h,Lv\rangle _{N_1,n}+
\tau \langle \Pi \sigma_{\varepsilon \tau }^h,\Pi v\rangle _{N_2,p n}+
 \varepsilon (\sigma_{\varepsilon \tau}^h,v)_{m,\Omega' ,\mathbb{R}^n}
 =\langle Lf,Lv\rangle_{N_1,n}.
\]
\end{theorem}

\begin{proof}
 Taking into account (\ref{1}), (\ref{4}) and that the norm
\[
[[  v ]] =\big( \langle
L v\rangle^2_{N_1,n}+ \tau \langle \Pi v \rangle
_{N_2,p n}^2+ \varepsilon  |  v| _{m,\Omega',\mathbb{R}^n}^2) ^{1/2}
\]
is equivalent in $V_h$ to the norm $\|  \cdot \|_{m,\Omega',\mathbb{R}^n}$
(cf.  \cite[Proposition 4.1]{1}), one easily checks that the symmetric
 bilinear form $\widetilde{a}:V_h\times V_h\longrightarrow \mathbb{R}$ given
by
\[
\widetilde{a}(u,v)=\langle L u,L v\rangle_{N_1,n}+ \tau
\langle \Pi u, \Pi v \rangle _{N_2,p n}+ \varepsilon
(u,  v)_{m,\Omega',\mathbb{R}^n}
\]
is continuous and $V_h$--elliptic. Likewise, the linear form
\[
\varphi : \,v\in V_h\longmapsto \varphi (v)=\langle L f, L
v\rangle_{N_1,n}
\]
is continuous. The result is then a consequence of the
Lax--Milgram Lemma (see \cite{3}).
\end{proof}

\section{Computation and convergence result}

Let us see how to compute the {\it discrete smoothing variational
spline with tangent conditions}. To do this, for any $h\in \mathcal{H}$, let $I$ and $\{w_1,\dots,w_I\}$
be the dimension and a basis
of $X_h$, respectively, and let us denote by
$\{e_1,e_2,\dots,e_n\}$ the canonical basis of $\mathbb{R}^n$.
Then, the family $\{v_1,\dots,v_Z\}$, with $Z=nI$, is a basis of
$V_h$, where for $i=1,\dots,I$ and $\ell=1,2,\dots,n$,
\[
 j=n(i-1)+\ell,\quad v_j=w_ie_{\ell}.
\]
Thus, for  any $h\in \mathcal{H}$, the function $\sigma_{\varepsilon\tau}^{h}$ can
be expressed as
\[
\sigma_{\varepsilon\tau}^{h}=\sum_{i=1}^{Z}\beta_iv_i,
\]
with the unknown $\beta_i\in \mathbb{R}$, for $i=1,\dots,Z$.

Applying Theorem \ref{th4.1}, we obtain that the vector
$\beta=(\beta_i)_{1\leq i\leq Z} \in {\mathbb{R}}^Z$ is
the solution of the following linear system of order $Z$:
\begin{equation}
\big( \mathcal{A}^T\mathcal{A}+\tau \ \mathcal{P}^T\mathcal{P}+\varepsilon
\mathcal{R}\big)\beta=\mathcal{A}^T b, \label{e6}
\end{equation}
where
\begin{gather*}
\mathcal{A} = \big(v_j(a_i)\big)_{1\leq i\leq N_1 \,\;  1\leq j\leq Z};\\
\mathcal{P} = \big(\Pi _{a_i} v_j\big)_{1\leq i\leq N_2 \,\; 1\leq j\leq Z};\\
\mathcal{R} = \big((v_i,v_j)_{m,\Omega',\mathbb{R}^n}\big)_{1\leq i,j\leq Z};\\
b         = \big(f(a_i)\big)_{1\leq i\leq N_1}.
\end{gather*}
We point out that $\mathcal{A}^T\mathcal{A}+\tau  \mathcal{P}^T\mathcal{P}
+\varepsilon \mathcal{R}$ of the linear system given in
(\ref{e6}) is a band matrix which is symmetric positive definite.

Now, under adequate hypotheses, we shall show that the {\it
discrete smoothing variational spline with tangent conditions}
converges to $f$. Suppose that we are given:

\begin{itemize}
\item a subset $\mathcal{D}$ of $(0,+\infty)$ with $0$ as an
accumulation point;

\item  for all $d$ $\in $ $\mathcal{D}$, two subsets $A_1^d$ and $A_2^d$ of
respectively  $N_1=N_1(d)$ and $N_2=N_2(d)$ distinct points of
$\overline{\Omega }$;

\item  for all $d\in \mathcal{D}$ and  any
$a\in A_1^d$, let us consider the linear form defined on
$C_F^0(\Omega';\mathbb{R}^n)$ by
\begin{equation*}
\phi_a^d v=\begin{cases}
v(a) & \mbox{if }  a\in A_1^d\backslash F, \\
v|_{R_i}(a) & \mbox{if }  a\in A_1^d \cap R_i \cap F,\; 1\leq i\leq I;
\end{cases}
\end{equation*}

\item  for all $d \in \mathcal{D}$ and any $a\in A_2^d$, let $\Pi_a^d$ be
the operator defined in $C^1_F(\Omega';\mathbb{R}^n)$  by
\begin{equation*}
\Pi_a^d v= \begin{cases}
\big(P_{S_a^{\bot}} (\frac {\partial v} {\partial
x_j}(a))\big)_{1\leq j\leq p} & \mbox{if }  a\in A_2^d\backslash F,\;
 1\leq i\leq I, \\
\big(P_{S_a^{\bot}} \big( \frac {\partial v|_{R_i}} {\partial
x_j}(a) \big) \big)_{1\leq j\leq p} & \mbox{if }  a\in A_2^d\cap R_i\cap F,\;
1\leq i\leq I,
\end{cases}
\end{equation*}
where for any $a\in A_2^d$, $P_{S_a^{\bot}}$ is the operator
projection onto $S_a^{\bot}$, being  $S_a^{\bot}$ the orthogonal
complement of the linear space $S_a=\mbox{ImD}f(a)$.
\end{itemize}
Finally, for any $d$ $\in $ $\mathcal{D}$ let
\[
L^d v=\left( \phi^d_a v \right)_{a\in A_1^d} \quad \mbox{ and }\quad
\Pi^d v=\left( \Pi_a^d v \right)_{a\in A_2^d}.
\]
We suppose that
\begin{equation} \label{6}
\ker L^d\cap \tilde{P}_{m-1}(\Omega';\mathbb{R}^n)=\{ 0 \}
\end{equation}
and that
\begin{equation} \label{7}
\sup_{x\in  \Omega'} \min_{a\in A^d_1} \langle x-a \rangle_{\mathbb{R}^p}=d.
\end{equation}
Now, for each $d\in \mathcal{D}$, let $\tau=\tau(d) \geq 0$,
$\varepsilon=\varepsilon(d)>0$ and let $J_{\varepsilon \tau}^d$ be
the functional defined in $V_h$ as $J_{\varepsilon \tau}$ in
(\ref{def.J}) with $L^d$ and $\Pi^d$ instead of $L$ and $\Pi$
respectively. Finally, let $\sigma _{\varepsilon \tau }^{dh}$ be
the {\it discrete smoothing variational spline with tangent
conditions} in $\Omega'$ relative to $A_1^d$, $A_2^d$, $f$, $\tau$
and $\varepsilon$, which is the minimum of $J_{\varepsilon
\tau}^d$ in $V_h$.

To prove the convergence of $\sigma _{\varepsilon \tau
}^{dh}$ to $f$, under suitable hypotheses, we need the following
results.

\begin{proposition} \label{Pro5.1}
Let $B_0=\{b_{01},\dots, b_{0\triangle }\}$ be a
$\tilde{P}_{m-1}(\Omega';\mathbb{R}^n)$-unisolven\-t  subset of
points of $R$. Then, there exists $\eta >0$ such that if $\mathcal{
B}_\eta $ designs the set of $\triangle $-uplet
$B=\{b_1$,...,$b_{\triangle }\}$ of points of $\Omega'$ satisfying
the condition:
\\
for $j=1,\dots,\triangle$ and $\langle b_j-b_{0j}\rangle _{{\mathbb R}^p}<\eta$,
the application
\[
[[ v]] _{m,\Omega'}^B=\Big(
\sum_{j=1}^{\triangle }\langle v(b_j)\rangle _{{\mathbb R}%
^n}^2+\left| \ v\ \right| _{m,\Omega',{\mathbb R}^n}^2\Big) ^{1/2},
\]
defined, for all $B\in \mathcal{B}_\eta $,
is a norm on $H^m(\Omega' ;{\mathbb R}^n)$, uniformly equivalent
over $\mathcal{B}_\eta $ to the usual Sobolev  norm
$\|\cdot\| _{m,\Omega',{\mathbb R}^n}$.
\end{proposition}

The proof of this proposition is analogous to the proof of \cite[proposition 6.2]{1}.


Now, we assume that the family $(X_h)_{h\in \mathcal{H}}$ is such
that there exists a linear operator $\rho_h:
L^2(\Omega';\mathbb{R}^3) \to V_h$ satisfying

\begin{itemize}
\item[(i)] For all $l=0,\dots,m$, and all $y\in H^{m}(\Omega';\mathbb{R}^3)$,
\begin{equation} \label{n5.2}
| y-\rho_h y | _{l,\Omega',\mathbb{R}^3}  \leq C h^{m-l}
 | \vec{y} | _{m,\Omega',\mathbb{R}^3};
\end{equation}
\item[(ii)] For all $y\in H^{m}(\Omega';\mathbb{R}^3)$,
 $$
 \lim_{h\to 0} | y-\rho_h y|_{m,\Omega',\mathbb{R}^3}=0\,.
$$
\end{itemize}
Also assume that the cardinality of the subsets $A_1^d$ and $A_2^d$ satisfies
\begin{equation}
\max\{N_1(d),N_2(d) \}\leq C\, d^{-p}, \label{n5.3}
\end{equation}
and that the family $({\mathcal{T}_h})_{h\in \mathcal{H}}$
satisfies the inverse assumptions (c.f. P. G. Ciarlet \cite{3}):
\begin{equation} \label{c1}
\exists \nu >0,\; \forall h\in \mathcal{H},\; \forall K\in \mathcal{T}_h,\;
\dfrac{h}{h_K} \leq \nu.
\end{equation}

\begin{lemma}\label{lem5.1}
Assume that \eqref{6}, \eqref{7},
\eqref{n5.2}, \eqref{n5.3}, \eqref{c1} hold. Then, there
exists a constant $C>0$ such that for any $y\in H^m(\Omega';\mathbb{R}^3)$,
$d\in \mathcal{D}$ and $h\in \mathcal{H}$,
one has
\begin{gather}\label{e55}
\sum_{a\in A}\langle (\rho_hy-y)(a)\rangle^2_{\mathbb{R}^3}\leq
Ch^{2m-2}\lvert y \rvert^2_{m,\Omega',\mathbb{R}^3}, \\
\label{e56}
\sum_{b\in B^d}\langle D_i(\rho_hy-y)(b)\rangle^2_{\mathbb{R}^3}\leq
C\frac{h^{2m-4}}{d^2}\lvert y \rvert^2_{m,\Omega',\mathbb{R}^3},\;
i=1,2\,.
\end{gather}
\end{lemma}

\begin{proof}
Reasoning as in \cite[Lemma 6.1]{1}, we deduce that
there exists a constant $C>0$ such that for any $y\in
H^m(\Omega;\mathbb{R}^3)$, $d\in \mathcal{D}$ and $h\in \mathcal{H}$,
and for any $K\in \mathcal{T}_h$, one has
\begin{gather}\label{e57}
\max_{u\in K}\langle y(u)\rangle^2_{\mathbb{R}^3}\leq
Ch^{-2}\sum_{\ell=0}^m h^{2\ell}\lvert y
\rvert^2_{\ell,K,\mathbb{R}^3}, \\
\label{e58}
\max_{u\in K}\langle D_iy(u)\rangle^2_{\mathbb{R}^3}\leq C
h^{-2}\sum_{\ell=0}^{m-1} h^{2\ell}\lvert y \rvert^2_{\ell
+1,K,\mathbb{R}^3},\;  i=1,2.
\end{gather}
Thus, taking $\rho_hy-y$ instead of $y$ in (\ref{e57}), we deduce
that
\begin{align*}
 \sum_{a\in A}\langle (\rho_hy-y)(a)\rangle^2_{\mathbb{R}^3}
&\leq \sum_{K\in \mathcal{T}_h}\sum_{a\in A\cap K} \langle
(\rho_hy-y)(a)\rangle^2_{\mathbb{R}^3}\\
&\leq C h^{-2} N_1 \sum_{K\in \mathcal{T}_h} \sum_{\ell
=0}^m h^{2\ell} \lvert\rho_hy-y\rvert^2_{\ell,K,\mathbb{R}^3}\\
&\leq C h^{-2} N_1\sum_{\ell =0}^m h^{2\ell}\lvert \rho_h
y-y\rvert^2_{\ell,\Omega',\mathbb{R}^3}\,.
\end{align*}
Hence, from (\ref{n5.2}), we have
\begin{align*}
 \sum_{a\in A} \langle (\rho_hy-y)(a\rangle^2_{\mathbb{R}^3}
&\leq C h^{-2} N_1 \sum_{\ell=0}^m h^{2\ell} h^{2m-2\ell}\lvert
 y\rvert^2_{m,\Omega',\mathbb{R}^3}\\
&\leq C h^{-2} N_1 (m+1) h^{2m} \lvert y
\rvert^2_{m,\Omega',\mathbb{R}^3},
\end{align*}
and we conclude that (\ref{e55}) holds.
Analogously, taking $\rho_hy-y$ instead of $y$ in
(\ref{e58}) we deduce, for $i=1,2$, that
$$
\sum_{b\in B^d}\langle
D_i(\rho_hy-y)(b)\rangle^2_{\mathbb{R}^3}\leq C h^{-2} N_2
\sum_{\ell=0}^{m-1} h^{2\ell} \lvert \rho_hy-y\rvert^2_{\ell
+1,\Omega',\mathbb{R}^3}.
$$
Hence, from (\ref{n5.2}), we have
$$
\sum_{b\in B^d}\langle D_i(\rho_hy-y\rangle^2_{\mathbb{R}^3}\leq
C h^{-2} N_2m h^{2m-2}\lvert y \rvert^2_{m,\Omega',\mathbb{R}^3},
$$
and, from (\ref{n5.3}), we conclude that (\ref{e56}) holds.
\end{proof}

Now we state the main result.

\begin{theorem}
Assume that \eqref{6}--\eqref{c1} hold, and that
\begin{gather}
\varepsilon=o(d^{-p}),\  d\to 0,  \label{8} \\
\frac{\tau \,h^{2m-4}}{d^p\, \varepsilon}=\mbox{o}(1),\
d\to 0,  \label{n5.6} \\
\frac{h^{2m}}{d^p\, \varepsilon}=\mbox{o}(1),\ d\to 0,
\label{n5.7}
\end{gather}
Then, one has
\begin{equation} \label{19}
\lim_{d\to 0}\|  \sigma_{\varepsilon \tau }^{dh}-f
\| _{m,\Omega',\mathbb{R}^n} =0.
\end{equation}
\end{theorem}

\begin{proof}
Step 1.\;  For all $d\in \mathcal{D}$, from Theorem
\ref{th4.1} we have
\begin{equation*}
J_{\varepsilon \tau}^d(\sigma_{\varepsilon \tau}^{dh})\leq
J_{\varepsilon \tau}^d(\rho_h f)
\end{equation*}
where, for each $h\in \mathcal{H}$, $\rho_h$ is the operator given in
(\ref{n5.2}), which means that
\[
|\sigma_{\varepsilon \tau}^{dh}|_{m,\Omega' ,\mathbb{R}^n}^2
\leq \dfrac1\varepsilon  \langle
L^d(\rho_hf-f)\rangle _{N_1,n}^2+ \frac{\tau}{\varepsilon}
\langle \Pi^d (\rho_h f)\rangle _{N_2,p n}^2+ | \rho_h
f |_{m,\Omega' ,\mathbb{R}^n}^2.
\]
 From (\ref{n5.2}) and Lemma \ref{lem5.1}, we obtain
\[
\langle L^d(\rho_hf-f)\rangle _{N_1,n}^2 \leq C
N_1 h^{2m} | f |_{m,\Omega' ,\mathbb{R}^n}^2
\]
and taking into account
\begin{gather*}
\langle \Pi^d(\rho_h f)\rangle_{\strut N_2,pn}^2 \leq C p
N_2 h^{2m-4} | f |_{m,\Omega' ,\mathbb{R}^n}^2,\\
| \rho_h f |_{m,\Omega' ,\mathbb{R}^n}^2 =\mbox{o}(1)+ | f
|_{m,\Omega' ,\mathbb{R}^n}^2,\, d\to 0\,,
\end{gather*}
we deduce from (\ref{n5.3}) and Lemma \ref{lem5.1} that there
exist $C_1>0$ and $C_2>0$ such that
\begin{gather}
\label{n21}
|\sigma_{\varepsilon \tau}^{dh}|_{m,\Omega' ,\mathbb{R}^n}^2
\leq \big( \dfrac{C_1 h^{2m}}{d^p \varepsilon}+\dfrac{C_2
h^{2m-4} \tau }{d^p \varepsilon} + 1 \big) | f |_{m,\Omega'
,\mathbb{R}^n}^2 + \mbox{o}(1), \, d\to 0, \\
\label{21}
\langle L^d(\sigma_{\varepsilon
\tau}^{dh}-f)\rangle_{N_1,n}^2 = \mbox{o}(\varepsilon),\quad\mbox{as }
d\to 0.
\end{gather}
Let $B_0=\{b_{01},\dots, b_{0\Delta}\}$ be a
$\tilde{P}_{m-1}(\Omega')$-unisolvent subset of points of $R$ and
let $\eta$ be the constant of the Proposition \ref{Pro5.1}.
Obviously,  there exists $\eta'\in (0,\eta]$ such that
$$
\overline B(b_{0j},\eta')\subset \overline{R}\quad \mbox{for }j=1, \dots,\Delta\,.
$$
 From (\ref{7}),
for all $d\in \mathcal{D}$, $d< \eta'$, $j=1,\dots,\Delta$,
$$
\overline B(b_{0j},\eta'-d)\subset \bigcup_{a\in A_1^d\cap \overline B(b_{0j},
\eta')} \overline B(a,d)\, .
$$
If $\mathcal{N}_j=\mathop{\rm card}(A_1^d\cap \overline B(b_{0j},\eta'))$,
it follows:
for all $d\in \mathcal{D}$, $d< \eta'$, $j=1,\dots,\Delta$,
$$
 (\eta' -d)^p\leq \mathcal{N}_j d^p\,.
$$
Consequently, for any  $d_0\in (0,\eta')$, all $d\in \mathcal{D}$, $d\leq d_0$,
$j=1,\dots,\Delta$,
\begin{equation}\label{22}
  \mathcal{N}_j\geq (\eta'-d_0)^p d^{-p}\, .
\end{equation}
Now, from (\ref{8}) and (\ref{21}) it follows that for $j=1,\dots,\Delta$,
\begin{equation}\label{23}
  \sum_{a\in A_1^d\cap \overline
B(b_{0j},\eta')} \langle (\sigma_{\varepsilon\tau}^{dh}
-f)(a)\rangle_{\strut \mathbb{R}^n}^2= o(d^{-p}),\quad\mbox{as } d\to
0\, .
\end{equation}
If $a_j^d$ is a point of $A_1^d\cap \overline B(b_{0j},\eta')$
such that
$$
\langle
(\sigma_{\varepsilon\tau}^{dh}-f)(a_j^d)\rangle_{\strut\mathbb{R}^n}=\min_{a\in
A_1^d\cap \overline B(b_{0j},\eta')} \langle
(\sigma_{\varepsilon\tau}^{dh}-f)(a)\rangle_{\strut\mathbb{R}^n}\,,
$$
it follows from (\ref{22}) and (\ref{23}) that for $j=1,\dots,\Delta$,
\begin{equation}\label{24}
\langle (\sigma_{\varepsilon\tau}^{dh} -f)(a_j^d)\rangle_{\strut\mathbb{R}^n}=o(1),
\quad\mbox{as } d\to 0\, .
\end{equation}
We denote by $B^d$ the set $\{ a_1^d,\dots,a_\Delta^d\}$.
Applying the Proposition \ref{Pro5.1} with $B=B^d$, for $d$
sufficiently close to $0$, it results from (\ref{n5.6}),
(\ref{n5.7}), (\ref{n21}) and (\ref{24}) that
There exists $C>0$, $\alpha>0$, such that for all $d\in \mathcal{D}$,
$d\leq\alpha$ we have
$$
\norm{\sigma_{\varepsilon\tau}^{dh}}_{m,\Omega',\mathbb{R}^n} \leq C\,.
$$
This implies that the family
$(\sigma_{\varepsilon\tau}^{dh})_{d\in \mathcal{D},\; d\leq \alpha}$ is bounded in
$H^m(\Omega';\mathbb{R}^n)$. Then, there exists a sequence
$(\sigma_{\varepsilon_l\tau_l}^{d_lh_l})_{l\in\mathbb{N}}$, extracted from
such family, with $ \lim_{l\to +\infty}
d_l=0$, $ \lim_{l\to +\infty} h_l=0$,
$\varepsilon_l=\varepsilon(d_l)$, $\tau_l=\tau(d_l)$,
$  \varepsilon_l=o(d_l^{-p}),\ \frac{\tau_l
\,h_l^{2m-4}}{d_l^p\, \varepsilon_l}=\mbox{o}(1),\
\frac{h_l^{2m}}{d_l^p\, \varepsilon_l}=\mbox{o}(1)$, as
$l\to +\infty$, and an element $f^\ast\in
H^m(\Omega';\mathbb{R}^n)$ such that
\begin{equation}\label{25}
f^\ast \mbox{ converges weakly to }\sigma_{\varepsilon_l\tau_l}^{d_lh_l}
\quad \mbox{ in} H^m(\Omega';\mathbb{R}^n)\, \mbox{ as } l\to +\infty \, .
\end{equation}

\noindent Step 2. Arguing  by contradiction, it is easy to
prove that $f^\ast=f$.

\noindent Step 3.  From (\ref{25}) and taking into account that
$f^\ast=f$ and $H^m(\Omega';\mathbb{R}^n)$ is compactly injected
in $H^{m-1}(\Omega';\mathbb{R}^n)$  we have:
\begin{equation}\label{27}
f=\lim_{l\to +\infty} \sigma_{\varepsilon_l\tau_l}^{d_l
h_l }\quad \mbox{in }\ H^{m-1}(\Omega';\mathbb{R}^n)\, .
\end{equation}
Consequently,
$$
\lim_{l\to +\infty} ((\sigma_{\varepsilon_l\tau_l}^{d_l
h_l}, f))_{\strut m-1,\Omega',\mathbb{R}^n}=\| f \|^2_{\strut
m-1,\Omega',\mathbb{R}^n}\, .
$$
Using again (\ref{25}) and that $f=f^\ast$, we obtain
\begin{equation}\label{28}
\begin{aligned}
 \lim_{l\to +\infty}
(\sigma_{\varepsilon_l\tau_l}^{d_l h_l}, f)_{m,\Omega',\mathbb{R}^n}
&=\lim_{l\to +\infty}\Big(((\sigma_{\varepsilon_l\tau_l}^{d_l h_l},f))_{m,\Omega',
\mathbb{R}^n}
 - ((\sigma_{\varepsilon_l\tau_l}^{d_l h_l},f))_{\strut m-1,\Omega',
 \mathbb{R}^n}\Big)\\
&=\abs{f}_{m,\Omega',\mathbb{R}^n}^2\, .
\end{aligned}
\end{equation}
Since, for all $l\in \mathbb{N}$,
$$
|\sigma_{\varepsilon_l\tau_l}^{d_l h_l}-f|^2_{m,\Omega',\mathbb{R}^n}=
|\sigma_{\varepsilon_l\tau_l}^{d_l h_l}|_{m,\Omega',\mathbb{R}^n}^2
+|f|^2_{\strut m,\Omega',\mathbb{R}^n}
-2(\sigma_{\varepsilon_l\tau_l}^{d_l h_l},f)_{\strut m,\Omega',\mathbb{R}^n}\,.
$$
 From (\ref{n21}) and (\ref{28}) we deduce
$$
\lim_{l\to +\infty}\abs{\sigma_{\varepsilon_l\tau_l}^{d_l
h_l }- f}_{\strut m,\Omega',\mathbb{R}^n } =0\, ,
$$
which, together  with (\ref{27}), imply
$$
\lim_{l\to +\infty} \| \sigma_{\varepsilon_l\tau_l}^{d_l
h_l }-f \|_{\strut m,\Omega',\mathbb{R}^n}=0\, .
$$

\noindent Step 4.  To complete this proof we will argue by
contradiction. Suppose that (\ref{19}) does'nt hold. Then, there
exist a real number $\mu>0$ and three sequences
$(d_{l'})_{l'\in\mathbb{N}}$, $(h_{l'})_{l'\in\mathbb{N}}$,
$(\varepsilon_{l'})_{l'\in\mathbb N}$, and
$(\tau_{l'})_{l'\in\mathbb N}$, with
\begin{gather*}
\lim_{l'\to +\infty} d_{l'}=0, \quad
h_{l'}=h(d_{l'}),\quad \varepsilon_{l'}=\varepsilon(d_{l'}),\\
\tau_{l'}=\tau(d_{l'}),\quad \varepsilon_{l'}=o(d_{l'}^{-p}),\\
 \frac{\tau_{l'}h_{l'}^{2m-4}}{d_{l'}^p \varepsilon_{l'}}=o(1),\quad
 \frac{h_{l'}^{2m}}{d_{l'}^p \varepsilon}_{l'}=o(1),
\end{gather*}
as ${l'}\to +\infty$, such that for all $l'\in\mathbb{N}$,
\begin{equation}\label{29}
 \|\sigma_{\varepsilon_{l'}\tau_{l'}}^{d_{l'}h_{l'}} -f \|_{m,\Omega',\mathbb{R}^n}
 \geq\mu\, .
\end{equation}
Now, the sequence
$(\sigma_{\varepsilon_{l'}\tau_{l'}}^{d_{l'}h_{l'}})_{l'\in
\mathbb N}$ is bounded in $H^m(\Omega';\mathbb{R}^n)$. Then, the
reasoning of Steps 1--3 shows that there exists a subsequence
convergent to $f$, which is a contradiction with (\ref{29}).
\end{proof}


\subsection*{Acknowledgment}
This work was partially supported by the Junta de Andaluc\'{\i}a
(Research group FQM/191).

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\end{document}
