
\documentclass[reqno]{amsart}
\usepackage{graphicx}

\AtBeginDocument{{\noindent\small
{\em Electronic Journal of Differential Equations},
Vol. 2003(2003), No. 84, pp. 1--8.\newline
ISSN: 1072-6691. URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.swt.edu  (login: ftp)}
\thanks{\copyright 2003 Southwest Texas State University.}
\vspace{9mm}}

\begin{document}

\title[\hfilneg EJDE--2003/84\hfil Asymptotic behavior for a heat conduction problem]
{Asymptotic behavior for a heat conduction
problem with perfect-contact boundary condition}

\author[A. Barrea \& C. Turner \hfil EJDE--2003/84\hfilneg]
{Andr\'es Barrea \& Cristina Turner }

\address{Andr\'es Barrea \hfill\break
Fa.M.A.F.- Universidad Nacional de C\'ordoba \\
 CIEM-CONICET, C\'ordoba, Argentina}
\email{abarrea@mate.uncor.edu}

\address{Cristina Turner \hfill\break
Fa.M.A.F.- Universidad Nacional de C\'ordoba \\
CIEM-CONICET,  C\'ordoba, Argentina}
\email{turner@mate.uncor.edu}


\date{}
\thanks{Submitted July 15, 2002. Published August 14, 2003.}
\subjclass[2000]{35K60, 35R35}
\keywords{Heat conduction, phase change, free boundary, perfect contact}


\begin{abstract}
 In this paper we consider the heat conduction problem for
 a slab represented by the interval $[0,1]$.
 The initial temperature is a positive constant, the flux
 at the left end is also a positive constant, and at
 the right end there is a perfect contact condition:
 $u_{x}(1,t)+\gamma u_{t}(1,t)=0$.
 We analyze the asymptotic behavior of these problems as
 $\gamma$ approaches infinity, and present some numerical
 calculations.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{example}[theorem]{Example}


\section{Introduction and preliminaries}

When two bodies $A$ and $B$ are in perfect thermal contact at
a boundary $S$, the boundary conditions are
\begin{gather*}
K_1 \frac{\partial V}{\partial \eta}=K_2\frac{\partial v}{\partial \eta},\quad
\mbox{on } S,\\
V=v,\quad \mbox{on }S;
\end{gather*}
where $V$, $v$ are the temperatures of $A$ and $B$, $K_1$ and $K_2$ are
their thermal conductivities, and $\eta$ is the outer unit normal.
Assuming that $K_1\gg K_2$, we can consider that $V=V(t)=v|_S$.
Then by means of an energy balance, we get a boundary condition for $v$:
\begin{equation}\label{pc}
K_2\int \int_S \frac{\partial v}{\partial \eta}dS
+ Mc'\frac{\partial v}{\partial t}=0,
\end{equation}
where $M$ and $c'$ denote the mass and the specific heat
of the body $A$. This kind of boundary condition has been widely investigated;
see for example \cite{citation3,citation4,citation5}.

We consider a one-dimensional slab $[0,\ell]$ with its face $y=\ell$ in
perfect thermal contact with mass $M_f$ per unit area of a well-stirred fluid
(or a perfect conductor) of specific heat $c_f$. In this case the condition
(\ref{pc}) is given by
\begin{equation}
kv_{y}(\ell,\tau)+M_fc_fv_{\tau}(\ell,\tau)=0.
\end{equation}
This condition appears in several interesting applications such as heat
condensers \cite{citation3}. We consider the heat conduction problem
\begin{equation}
\begin{gathered}\label{P}
kv_{yy}=\rho c v_{\tau}, \quad  \hbox{in }  [0, \ell] \times (0, \mathcal{T}],\\
v(y,0)=V_0>0, \quad 0\leq y \leq \ell,\\
kv_{y}(0,\tau)=q_0>0, \quad 0<\tau \leq \mathcal{T},\\
kv_{y}(\ell,\tau)+M_fc_fv_{\tau}(\ell,\tau)=0, \quad  0<\tau \leq \mathcal{T},
\end{gathered}
\end{equation}
where $k$ is the thermal conductivity, $\rho$ the density, $q_0$ the heat
flux, and $c$ the specific heat of the material.
All of these constants are positive.
 With the change of variables
$$x=\frac{y}{\ell},\quad t=\frac{k \tau}{\rho c \ell^{2}}, \quad v(y,\tau)=cu(x,t).$$
problem \eqref{P} is transformed into the problem
\begin{equation} \label{cpu}
\begin{gathered}
u_{xx}=u_{t}, \quad  \hbox{in }  [0, 1] \times (0, T],\\
u(x,0)=M>0, \quad 0\leq x \leq 1,\\
u_{x}(0,t)=q>0, \quad 0< t \leq T,\\
\gamma u_{t}(1,t) + u_x(1,t)=0, \quad  0< t \leq T,
\end{gathered}
\end{equation}
where
$$ M=c V_0,\quad q=\frac{c \ell q_0}{k},\quad \gamma=
\frac{M_fc_f}{\rho c}, \quad T=\frac{k \mathcal{T}}{\rho c \ell^2}\,.
$$
Roughly speaking, we expect that as $\gamma \to +\infty$
the solution to \eqref{cpu} converge to the solution of the problem
\begin{equation} \label{Pinf}
\begin{gathered}
u_{xx}=u_{t}, \quad  \hbox{in } [0, 1] \times (0, T],\\
u(x,0)=M>0, \quad 0\leq x \leq 1,\\
u_{x}(0,t)= q>0, \quad 0< t \leq T,\\
u_t(1,t)= 0. \quad  0< t \leq T.
\end{gathered}
\end{equation}
In the case of models of heat conduction in material media it is natural to
attempt to determine the temporary range of validity (i.e. the solution
remains positive). Here an important limitation of this range is imposed by
the change of phase phenomena. An extensive bibliography on phase-change problem
can be found in \cite{citation6}.

In \cite{citation7} the authors studied this problem with temperature and
convective boundary conditions at $x=1$. They  obtained an explicit
expression for the approximation of the time of phase change $t_{ch}$ for the
problem \eqref{Pinf}, namely
\begin{eqnarray}\label{tch}
t_{ch}=\big(\frac{\sqrt{\pi}M}{2q}\big)^2.
\end{eqnarray}
Here we prove that the solution of the problem \eqref{cpu} converges to
the solution of the problem \eqref{Pinf} using (\ref{tch}). This relation
was obtained in \cite{citation8} using Laplace transforms.

Next we prove that  the solution to the problem \eqref{cpu} converges to the
solution of the problem \eqref{Pinf} in the $L^{\infty}$ norm. In fact, by
using a numerical scheme we visualize this convergence. The formulation and
the results of the numerical scheme are provided.

\section{Asymptotic behavior of problem \eqref{cpu}}

\begin{lemma} \label{lm1}
The solution to \eqref{cpu} satisfies
\begin{enumerate}
\item If $u_x(x,t)\geq 0$  then  $u(0,t) \leq u(x,t)$, for $0 \leq x \leq 1$,
$0< t \leq T$.

\item For all $(x,t) \in [0,1] \times (0,T]$, $u_t(x,t) \leq 0$.
\end{enumerate}
\end{lemma}

\begin{proof}
Let $v=u_x$. Then $v$ satisfies
\begin{equation} \label{v1}
\begin{gathered}
v_{xx}=v_{t}, \quad  \hbox{in } [0,1] \times (0, T],\\
v(x,0)=0, \quad 0\leq x \leq 1,\\
v(0,t)=q, \quad 0< t \leq T,\\
v(1,t)+\gamma v_x(1,t)=0, \quad  0< t \leq T. \end{gathered}
\end{equation}
By the maximum principle \cite{citation10}, $\min v(x,t)=\min \{q,0,v(1,t)\}$
for $0 \leq x \leq 1$ and $t>0$.  Assuming that $v(1,t)<0$ (we remark that
$q>0$) it follows that $\min v(x,t)=v(1,t)$. By Hopf's lemma (see
\cite{citation10}), $v_x(1,t)<0$, which contradicts the last equation in
(\ref{v1}) ($\gamma >0$). Therefore, $u_x(x,t) \geq 0$. This
proves part 1.

Let $v^{\varepsilon}(x,t)=u(x,t+\varepsilon)-u(x,t)$. Hence
\begin{equation} \label{w1}
\begin{gathered}
v^{\varepsilon}_{xx}=v^{\varepsilon}_{t}, \quad  \hbox{in }
D=[0, 1] \times (0, T],\\
v^{\varepsilon}(x,0)=u(x,\varepsilon)-M, \quad 0\leq x \leq 1,\\
v^{\varepsilon}_x(0,t)=0, \quad ,0 < t \leq T\\
v^{\varepsilon}_x(1,t)+\gamma v^{\varepsilon}_t(1,t)=0, \quad  t>0.
\end{gathered}
\end{equation}
Let us show that $u(x,\varepsilon)-M \leq 0$ for all
$\varepsilon \geq 0$. By the maximum principle and Hopf's lemma we have
$$
\max v^{\varepsilon}(x,t)=\max \{u(x,\varepsilon)-M,v^{\varepsilon}(1,t)\},
$$
for $0 \leq x \leq 1$ and $0 < t \leq T$. Assuming that $\max
v^{\varepsilon}(x,t)=v^{\varepsilon}(1,t_0)>0$, then it follows that
$v^{\varepsilon}_x(1,t_0)>0$.
 From (\ref{w1}) it follows that
$v^{\varepsilon}_t(1,t_0)<0$, which implies that $v^{\varepsilon}(1,t)$
decreases in $(t_0-\varepsilon,t_0)$. This contradiction proves that that
$v^{\varepsilon}(x,t) \leq 0$. Hence
$$\lim_{\varepsilon \to 0}\frac{v^{\varepsilon}(x,t)}{\varepsilon}=
u_t(x,t) \leq 0,
$$
which completes the proof.
\end{proof}

Since $u(x,t)-M$ satisfies \eqref{cpu} with zero initial condition, by the
maximum principle and Hopf's lemma, it follows that $u(x,\varepsilon)-M \leq 0$
for all $\varepsilon \geq 0$.

\begin{lemma} \label{lm2}
\begin{enumerate}
\item Let $u_{\gamma_i}$ be solutions to Problem \eqref{cpu} with $\gamma_1$
and $\gamma_2$ respectively.
If $\gamma_1 \leq \gamma_2$ then $u_{\gamma_1} \leq u_{\gamma_2}$.

\item Let $u_{\infty}$ be the solution to Problem \eqref{Pinf}.
Then  $u_{\gamma} \leq u_{\infty}$  for all $\gamma > 0$.
\end{enumerate}
\end{lemma}

\begin{proof}
Let $z=u_{\gamma_2}-u_{\gamma_1}$.
Then for $x =1$ the function $z$ satisfies
\begin{equation*}
\begin{aligned}
z_x(1,t)&=u_{\gamma_{2_x}}(1,t)-u_{\gamma_{1_x}}(1,t)\\
&=-\gamma_2u_{\gamma_{2_t}}(1,t)+\gamma_1u_{\gamma_{1_t}}(1,t)\\
&=-\gamma_2(u_{\gamma_{2_t}}(1,t)-
u_{\gamma_{1_t}}(1,t))+(\gamma_1-\gamma_2)u_{\gamma_{1_t}}(1,t)\\
&=-\gamma_2z_{t}(1,t)+(\gamma_1-\gamma_2)u_{\gamma_{1_t}}(1,t).
\end{aligned}
\end{equation*}
By Lemma \ref{lm1}, $z(x,t)$ satisfies:
\begin{equation} \label{z1}
\begin{gathered}
z_{xx}=z_{t}, \quad  \hbox{in } [0, 1] \times (0, \leq T],\\
z(x,0)=0, \quad 0\leq x \leq 1,\\
z_x(0,t) =0, \quad 0< t \leq T,\\
z_x(1,t)+\gamma_2 z_t(1,t)\geq 0, \quad  0< t \leq T.
\end{gathered}
\end{equation}
By the maximum principle and Hopf's lemma, for $0 \leq x \leq 1$ and $0< t
\leq T$ we have
$$ \min z(x,t)=\min \{0,z(1,t)\}.
$$
Assume that $\min z(x,t)=z(1,t_0)<0$, then using Hopf's lemma,
$$z_x(1,t_0)<0.
$$
 From (\ref{z1}) ($\gamma_2 >0$) it follows that
$z_t(1,t_0)>0$. This implies that $z(1,t)$ increases in
$(t_0-\varepsilon,t_0)$,  which contradicts that $z(1,t_0)$ is a minimum.
Therefore we obtain that  $z(x,t) \geq 0$.

Setting $z=u_{\infty}-u_{\gamma}$, we obtain
\begin{align*}
z_x(1,t)+\gamma z_t(1,t)
&= u_{\infty_x}(1,t)-u_{\gamma_x}(1,t)+\gamma(u_{\infty_t}(1,t)-u_{\gamma_t}(1,t)),\\
&=-(u_{\gamma_x}(1,t)+\gamma u_{\gamma_t}(1,t))+u_{\infty_x}(1,t)+\gamma u_{\infty_t}(1,t)\\
&=u_{\infty_x}(1,t).
\end{align*}
The function $\theta(x,t)=u_{\infty_x}(x,t)$ satisfies the heat
conduction problem:
\begin{gather*}
\theta_{xx}=\theta_{t}, \quad  D=\{(x,t): 0\leq x \leq 1, 0< t \leq T\},\\
\theta(x,0)=0, \quad 0\leq x \leq 1,\\
\theta(0,t)=q, \quad 0< t \leq T,\\
\theta_x(1,t)=0, \quad  0< t \leq T,
\end{gather*}
Using the maximum principle and Hopf's lemma we obtain
$$ 0 \leq \theta(x,t)=u_{\infty_x}(x,t) \leq q.
$$
 From the above inequality, we conclude that
$$ 0 \leq z_x(1,t)+\gamma z_t(1,t) \leq q.
$$
Using maximum principle and Hopf's lemma, we
deduce that $z(x,t) \geq 0$.
\end{proof}

\noindent {\bf Remark}
 From lemma \ref{lm2}, we can assure the existence of a function $u^*(x,t)$ such that
$\lim_{\gamma \to \infty} u_{\gamma}(x,t)=u^*(x,t)$ a.e. $x \in [0,1]$,
and $ u^*(x,t) \leq u_{\infty}(x,t)$. \smallskip

Let $\|\cdot \|_{\infty}$ be the $L^{\infty}([0,1]\times[0,T])$ norm:
\begin{eqnarray*}
\|u(x,t)\|_{\infty}=\sup_{[0,1]\times[0,T]}|u(x,t)|.
\end{eqnarray*}
In the next lemma, we prove that the convergence is uniform and
that $u^*(x,t)=u_{\infty}(x,t)$ a.e. $x \in [0,1]$.
For this proof we use Laplace Transforms \cite{citation1}.

\begin{lemma} \label{lm3} With the above notation,
\begin{equation}
\|u_{\infty}(x,t)-u_{\gamma}(x,t)\|_{\infty} \leq \frac{qT}{\gamma}.
\end{equation}
\end{lemma}

\begin{proof} Taking $w=u_{\infty}-u_{\gamma}$, we have
\begin{gather}
\label{w11}
w_{xx}=w_{t}, \quad  [0,1] \times (0, T], \\
\label{w22}
w(x,0)=0, \quad 0\leq x \leq 1,\\
\label{w33}
w_x(0,t)=0, \quad 0 < t \leq T,\\
\label{w44}
0  \leq w_x(1,t)+\gamma w_t(1,t)\leq q, \quad  0 < t \leq T.
\end{gather}
Note that since $u_{\infty}$ and $u_{\gamma}$ are increasing
functions and $u_{\gamma} \leq u_{\infty}$, we have
\begin{equation}\label{eq1}
\|u_{\infty}(x,t)-u_{\gamma}(x,t)\|_{\infty}=u_{\infty}(1,t)-u_{\gamma}(1,t),
\end{equation}
Applying the Laplace Transform,
\begin{gather} \label{W1}
W_{xx}(s,x)-sW(s,x)=0,\\
\label{W2}
W_x(s,0)=0,\\
\label{W3}
0  < W_x(s,1)+s\gamma W(1,t) <  \frac{q}{s},
\end{gather}
where $s$ is a positive parameter. The general solution to this problem is
\begin{equation}\label{W4}
W(s,x)=C(s,q,\gamma)\cosh(\sqrt{s}x).
\end{equation}
Replacing (\ref{W4}) in (\ref{W3}),
\[
C(s,q,\gamma)\leq \frac{q}{s(\sqrt{s}\sinh(\sqrt{s})+\gamma s\cosh(\sqrt{s}))}\\
 \leq \frac{q}{\gamma s^{2} \cosh(\sqrt{s})}.
\]
Therefore,
\begin{equation}
\label{des1} W(s,x) \leq \frac{q}{\gamma s^2}.
\end{equation}
To obtain a bound for $w(1,t)$, we apply the inverse Laplace
Transform at $x=1$ to (\ref{des1}):
\begin{equation}\label{des2}
w(1,t) \leq \frac{qt}{\gamma}.
\end{equation}
 From (\ref{eq1}) and (\ref{des2}) we obtain
\begin{equation}
\|u_{\infty}(x,t)-u_{\gamma}(x,t)\|_{\infty} \leq \frac{qT}{\gamma},
\end{equation}
which proves the proof.
\end{proof}

\section{Numerical scheme and results}

We preset a short description of our numerical scheme, for problem
\eqref{cpu}, and refer the reader to \cite{citation2} for more details.
First, we consider the
weak formulation for the problem \eqref{cpu}:
\begin{align*}
\int_0^1u_t(x,t) \phi(x) dx + \int_0^1 u_x(x,t) \phi_x(x) dx
&=u_x(1,t)\phi(1)-u_x(0,t)\phi(0)\\
&=-\gamma u_t(1,t)\phi(1)-q\phi(0),
\end{align*}
where $\phi(x)$ belongs to $H^1(0,1)$. We will consider a finite element
method for the discretization of the space variable.



Let $x_i=i/N$ for $0\leq i\leq N$ be a partition of the interval
$[0,1]$ into subintervals $I_i=[x_i,x_{i+1}]$, of length $h=1/N$. Let
$V_h$ the set of continuous functions which are linear on each $I_i$. We
consider the basis functions of $V_h$ taking as usual $\phi_i$, with
$\phi_i(x_j)=\delta_{ij}$. We define a partition $\{0=t_0<t_1<\dots <t_M=T\}$ of
the interval $[0,T]$, with equal subintervals $\Delta t =t_k-t_{k-1}$ and
$k=1,\dots ,M$.

We consider the following approximations for $u(x,t_k)$ and $u_t(x,t_k)$:
\begin{gather*}
u(x,t_k) \approx \sum_{i=0}^{N}U_i^k \phi_i(x)\\
u_t(x,t_k)\approx \frac{1}{\Delta t}\sum_{i=0}^{N}(U_i^k-U_i^{k-1}) \phi_i(x).
\end{gather*}
By using these approximations in the weak formulation, we obtain the
following linear system for $U^k=(U_0^k,\dots,U_{N}^k)$:
\begin{gather*}
A U^k=BU^{k-1}+C \quad \mbox{for}\quad k=1,2\dots \\
U_i^0=(x_i,0).
\end{gather*}
where $A$ and $B$ are symmetric tridiagonal matrices and
$C=(-q\Delta t,0,\dots ,0)^T$.
The coefficients of these matrices are:
\begin{equation*}
 A_{ij}= \begin{cases}
{\frac{h}{3}+\frac{\Delta t}{h}}   &\mbox{if } j=i=1 \\
{\frac{2h}{3}+\frac{2\Delta t}{h}} &\mbox{if } j=i \mbox{ for } i=2,\dots ,N \\
{\frac{h}{3}+\frac{\Delta t}{h}-\gamma} &\mbox{if } j=i=N+1\\
{\frac{h}{6}-\frac{\Delta t}{h}} & \mbox{if }j=i+1 \mbox{ for }\quad i=1,\dots,N.\\
\end{cases}
\end{equation*}
and
\begin{equation*}
 B_{ij}= \begin{cases}
{\frac{h}{3}} &\mbox{if } j=i=1 \\
{\frac{2h}{3}} &\mbox{if } j=i \mbox{ for } i=2,\dots ,N \\
{\frac{h}{3}-\gamma} &\mbox{if } j=i=N+1\\
{\frac{h}{6}} & \mbox{if } j=i+1 \mbox{ for } i=1,\dots ,N.\\
\end{cases}
\end{equation*}
In the case of problem \eqref{Pinf} we obtain the similar linear system for
the discrete scheme where we replace the last file in the matrices $A$ and
$B$ for $(0,\dots ,0,1)$. Now, we show examples that verify the theoretical
results obtained above. For all examples we set $h= \Delta t =10^{-3}$.


\begin{example} \label{ex1} \rm
 In this first example, we show that the solution to
problem \eqref{cpu} satisfies the hypotheses of Lemma \ref{lm1}
(i.e. $u_t \leq 0$, $u_x \geq 0$). We set $q=10$, $M=100$ and $\gamma=25$ in the
problem \eqref{cpu}.
In figure 1 we show the solution for different times $t_j$ for $j=1,2,3,4$.
We plot the temperature $u(x,t)$ with respect to $x$ for
different $t$.
\end{example}

\begin{figure}[thb]
\begin{center}
\includegraphics[width=0.6\textwidth]{fig1.eps}
\end{center}
\caption{Solutions to \eqref{cpu}}
\end{figure}


\begin{example}\label{ex2} \rm
We take the following values for the data
in the problem \eqref{cpu}: $q=10$, $M=100$, $\gamma_1=1$, $\gamma_2=25$ and
$\gamma_3=50$. Figures 2 and 3 show the convergence when  $\gamma
\to \infty $ at $x=0$ and $x=1$.
\end{example}
\begin{figure}[thb]
\begin{center}
\includegraphics[width=0.8\textwidth]{fig2.eps}
\end{center}

\caption{Convergence at $x=0$}
\end{figure}

\begin{figure}[thb]
\begin{center}
\includegraphics[width=0.7\textwidth]{fig3.eps}
\end{center}
\caption{Convergence at $x=1$}
\end{figure}

We observe that the solution $u_{\gamma} \approx u_{\infty}$ for large values
of $\gamma$.

\begin{example} \label{ex3} \rm
To present numerical evidence of Lemma \ref{lm3},
we take $q=10$, $M=100$ and $T=10$.
We consider the parameter $\gamma \to +\infty$ and we show
that $\|u_{\infty}-u_{\gamma}\|_{\infty}$ is
bounded for ${ f(\gamma)=\frac{qT}{\gamma}}$.
This example shows that the bound $f(\gamma)=\frac{q T}{\gamma}$
actually estimates $\|u_{\infty}(x,t)-u_{\gamma}(x,t)\|_{\infty}$.
\end{example}

\subsection*{Concluding Remarks}
We have proved that the solution to the problem
\eqref{cpu} converge in $L^{\infty}$-norm to the solution of problem
\eqref{Pinf}. Moreover we have illustrated this convergence and the
properties of the solution of problem \eqref{cpu} using a finite element
method in the space variable.

\subsection*{Acknowledgment}
This research was sponsored by grant 275/00 from SECYT-UNC.
Andr\'es Barrea was sponsored by a scholarship from SECYT-UNC. The
authors thank Professor T\'omas Godoy and the anonymous referee for
their helpful comments and suggestions.


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\end{document}
