\documentclass[reqno]{amsart}
\usepackage{hyperref}

\AtBeginDocument{{\noindent\small
2014 Madrid Conference on Applied Mathematics in honor of Alfonso Casal,\\
\emph{Electronic Journal of Differential Equations},
Conference 22 (2015),  pp. 53--61.\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu}
\thanks{\copyright 2015 Texas State University.}
\vspace{9mm}}

\begin{document} \setcounter{page}{53}
\title[\hfilneg EJDE-2015/Conf/22 \hfil A thermosyphon model]
{A thermosyphon model with a viscoelastic \\ binary fluid}

\author[A. Jim\'enez-Casas, Mario Castro \hfil EJDE-2015/conf/22 \hfilneg]
{\'Angela Jim\'enez-Casas, Mario Castro}

\address{\'Angela Jim\'enez-Casas \newline
Grupo Din\'amica No Lineal,
 Universidad Pontificia Comillas,
28015--Madrid, Spain}
\email{ajimenez@comillas.edu}

\address{ Mario Castro \newline
Grupo Interdisciplinar de Sistemas Complejos (GISC),
Universidad Pontificia Comillas,
28015--Madrid, Spain}
\email{marioc@comillas.edu}


\thanks{Published November 20, 2015.}
\subjclass[2010]{35K58, 74D05}
\keywords{Thermosyphon; viscoelastic fluid; thermodiffusion; Soret effect;
\hfill\break\indent  non-Newtonian fluid; heat flux}

\begin{abstract}
 In this work we consider a viscoelastic fluid with the same transfer law
 across the loop, as in previous works we add a  solute to the fluid. 
 For this binary fluid, we consider the thermodiffusion  (also known as 
 Soret effect) to obtain the well-posedness of the mathematical formulation
 of this thermosyphon model, which is a generalization of the previous models.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\allowdisplaybreaks

\section{Introduction}

In this work we consider the motion of the viscoelastic binary fluid inside 
a closed loop circuit (thermosyphon), when we consider a prescribed flux  
along the loop wall and the contribution of axial diffusion.  
This problem arises in engineering applications, where one deals with 
polymeric solutions that change the viscoelastic response of the solvent 
and can be segregated inside the fluid creating solute gradients.

 Geometrically, a thermosyphon is a closed {\em pipe} containing a fluid 
and used, primarily, as a heat exchanger between different spatial locations. 
Their use is widespread in engineering so a deeper understanding of the 
effect of a prescribed external heat flux can be important to design external  
mechanisms that can control the flow within the thermosyphon.

 Viscoelasticity \cite{how}, is produced by the internal composition of the 
fluid (that includes the solvent and the solute) that make them solid-like 
at low shear rates and water-like (Newtonian) at high shear rates 
(think, for instance, in ketchup or soap gels).
Elasticity is the result of bond stretching along crystallographic planes 
in an ordered solid, whereas viscosity is the result of the diffusion of 
atoms or molecules inside an amorphous material.

Thermodiffusion is a phenomenon of temperature gradient \cite{deb,holl}, 
observed in a mixture of two or more moving substances. 
The term ``Soret effect" normally means thermodiffusion in liquids.
Thus, inside a thermosyphon, besides the effect of temperature gradients, 
solute concentration gradients also trigger and drive natural convection 
inside the loop, hence sustaining the motion of the fluid \cite{pal}.

 As it has been shown in previous works \cite{ha,hv,jl,justine2,k,l,r2,v,w}
 there is a subtle coupling among gravity, natural convection and viscoelaticity, 
specially when cross-effects are present (such as thermal-solute 
concentration couplings or temperature dependent density).

The contributions in this article are:

$\bullet$ To generalize the system of equations \eqref{systosolve} 
introduced in  \cite{justine3} governing this thermosyphon model 
of a viscoelastic binary fluid with Soret effect where, instead of 
leaving the motion be ambient-temperature driven as in  \cite{justine3},
 use an external heat flux prescription that can be used by an experimenter 
to control the fluid motion in the loop. This model, at different levels 
(the Soret effect, viscoelasticity or heat coupling), is a generalization 
of the previous models  \cite{ha,hv,jl,justine2,k,l,r2}.

$\bullet$ To prove the well-posedness: existence and regularity of solutions for 
nonlinear coupled ODE/PDE system \eqref{systosolve} arising in this new 
thermosyphon model.



\section{Mathematical formulation of this prescribed heat flux model}

 For completeness, we include here some ideas of mathematical formulation  
for the present model, although the details are in \cite{justine3} 
 where we consider also a thermosyphon model with a viscoelstic binary fluid.
 The difference between this model and the  recent work with  a viscoelastc 
binary fluid \cite{justine3}, is that  here, we  consider a given function 
$h$ to prescribed the heat flux at the wall of the loop instead of the 
Newton's linear cooling law. As shown in  \cite{jl,justine2,r2} this is not 
a trivial generalization and requires a detailed analysis.

 In this thermosyphon model we study the motion (velocity $v$) of the 
viscoelastic binary fluid inside a closed loop. We note as the previous 
thermosyphon model for binary fluid, even for Newtonian fluid (like water) 
 \cite{ha,jr,jl,j,j2,k,l}, together with the temperature $T$ we study also de
 evolution of the solute concentration $S$; so in this kind of binary fluid
 we have and additional partial differential equation for the solute concentration,
 coupled  with both the temperature and the velocity inside the loop.

 Moreover, in this work we consider a viscoelastic fluid where the
viscoelasticity is caused by the internal composition of the fluid 
(that includes the solvent and the solute). This kind of viscoelasticity 
fluid presents more complex dinamyc  since the molecules responsible of the 
viscoelastic behavior (solute) can segregate inside the solvent producing 
concentration gradients sensible to thermal gradients (the Soret effect).

 For small perturbations, the fluid behaves like an elastic solid with a 
characteristic frequency of resonance which, eventually, could be relevant. 
Here, we will approach this problem by studying the most essential feature of 
viscoelastic fluids: memory effects i.e.  its behavior depends on the whole 
past history \cite{wnf}.


 The simplest approach to viscoelasticity comes from the so-called Maxwell 
constitutive equation \cite{morrison,bravo}. Although this model is a great 
simplification, it has been proven valid even for complex fluids as blood, 
in which red cells change its behavior depending on their concentration or 
even the geometry of the vessel \cite{thurston}.

 In this kind of fluid, both Newton's law of viscosity and Hooke's law 
of elasticity are generalized and complemented through an evolution equation 
for the stress tensor, $\tilde\sigma$. The stress tensor comes into play in 
the equation for the conservation of momentum:
\begin{equation}\label{momentum}
\rho \Big(\frac{\partial \mathbf{v}}{\partial t}+ \mathbf{v}\cdot\nabla
\mathbf{v} \Big)=-\nabla p+\nabla\cdot\tilde\sigma + \rho g
\end{equation}
where $\rho $ is density of the material, $p$  the hydrostatic pressure 
and $g$ the acceleration due to gravity. We considere also the hypothesis
of incompressibility (accurate enough for liquids).

 For a Maxwellian fluid in a narrow section thermosyphon, the stress tensor 
is reduced to only one non-zero  independent component, and evolves according to
\begin{equation}\label{maxwell}
\frac{\mu }{E}\frac{\partial \tilde\sigma }{\partial t}
+\tilde\sigma =\mu \dot{\gamma},
\end{equation}
where $\mu $ is the fluid viscosity, $E$ the Young's modulus and 
$\dot{\gamma}$ is the only non-zero component of the shear strain 
rate (or rate at which the fluid deforms).

We note that the equation \eqref{maxwell} can be rewritten as
\begin{equation}
\sigma(t)=\sigma(0)+E\int_0^te^{(E/\mu)(s-t)}\dot\gamma(s)ds
	\label{maxwell2}
\end{equation}
so, the so-called memory effect present in viscoelastic materials 
\cite{morrison} is a way to rephrase  the averaging effect shown in 
 \ref{maxwell2} over past times. This  (weighted by an exponential) 
averaging can, for some parameters, remove the chaotic behavior inside 
the thermosyphon.

 Under stationary flow,  \eqref{maxwell} reduces to Newton's law, 
$\tilde\sigma=\mu \dot\gamma$, and consequently equation \eqref{momentum} 
takes the form of the celebrated Navier-Stokes equation. On the contrary, 
for short times where \emph{impulsive} behavior from rest can be expected, 
so $\mu \partial_t\tilde \sigma \gg E\tilde\sigma $, so
 equation \eqref{maxwell} reduces to Hooke's law of elasticity,
 $\tilde\sigma =E\gamma$.

  Following the same procedure as in \cite{justine2}, namely, 
averaging first  \eqref{momentum}-\eqref{maxwell}, through the 
thermodiffusion section and, second, along its arclength, we arrive 
at a nonlinear coupled ODE/PDE system, where nonlinearity enters 
specifically in the equation for the velocity. In particular,
\begin{equation}\label{systosolve}
\begin{gathered}
\varepsilon \frac{d^{2}v}{dt^{2}}+\frac{dv}{dt}+G(v)v
=\oint(T-S)fdx, \quad v(0)=v_0,\frac{dv}{dt}(0)=w_0 \\
\frac{\partial T}{\partial t}+v\frac{\partial T}{\partial x}
=h(x)+\nu \frac{\partial ^{2}T}{\partial x^{2}},\quad T(0,x)=T_0(x) \\
\frac{\partial S}{\partial t}+v\frac{\partial S}{\partial x}
= c \frac{\partial ^{2}S}{\partial x^{2}}- b\frac{\partial ^{2}T}{\partial x^{2}}, 
\quad S(0,x)=S_0(x)
\end{gathered}
\end{equation}
where $h(x)$ is a given function which prescribed the heat flux at the wall 
of the loop as in \cite{jl,justine2,r2}, instead of the Newton's linear 
cooling law $h=k(T_a - T)$ as in \cite{jr,j,j2,v,justine2,justine3}, where
 $T_a$ is the (given) ambient temperature distribution. This is the difference
between this model and the model in \cite{justine3}.

 We consider the diffusion of temperature given by the term  
$\nu \frac{\partial ^{2}T}{\partial x^{2}}$, with thermal diffusion $\nu >0 $ 
as in  previous work.

 The parameter $\varepsilon$ in  \eqref{systosolve} is the (adimensional) time 
scale in which the transition from elastic to fluid-like occurs in the fluid. 
This forms an ODE/PDE system for the evolution of the velocity $v(t)$, 
the distribution of the temperature $T(t,x)$ of the fluid and the solute 
concentration $S(t,x)$  into the loop of  \eqref{systosolve}. 
The equation for the solute concentration $S(t,x)$ is given by the Soret effect, 
thermodiffusion, where $c>0$ is the diffusion coefficient and $b>0$ is the 
Soret coefficient like in the previous models with this kind of binary fluids
 as \cite{ha,jr,jl,j,j2}. Here $\oint =\int_0^1 dx$ denotes integration along 
the closed path of the circuit. We can make this identification if we consider 
only periodic functions (with period $1$). The function $f$ describes the 
geometry of the loop and the distribution of gravitational forces  $g$ \cite{k,w}, 
with $\oint f=0$.

 We assume that $G(v)$, which specifies the friction law at the inner wall of 
the loop, is positive and bounded away from zero.
This function has been usually taken to be $G(v)=G$, a positive constant for 
the linear friction case \cite{k} (Stokes flow), or $G(v)=|v|$ for the 
quadratic law \cite{hv,l}, or even a rather general function given by 
$G(v)=\tilde g(Re)|v|$, where $Re$ is the Reynolds number, 
$Re=\rho vL/\mu $. Here we will consider a general function of the velocity 
assumed to be large  for large values of the velocity \cite{v,r2}. 
The functions $G$, $f$, and $h$ incorporate relevant physical constants 
of the model, such as the cross sectional area, $ D $, the length of the loop, 
$L$, the Prandtl, Rayleigh, or Reynolds numbers, etc., see \cite{v}.

 We consider $G$ being a generic continuous function satisfying $G(v)\geq G_0 > 0$ 
and $H(r)=rG(r) $ being locally Lipschitz.

\section{Well-posedness and boundedness: Existence and uniqueness of solutions}
\label{sec:math}

We will introduce some function spaces that will be used in the study of 
the existence of solutions of \eqref{systosolve}. 
Let $\Omega=(0,1)$ and consider the spaces
\begin{gather}
L_{\rm per}^2(\Omega)=\big\{u \in L_{\rm loc}^2(\mathbb{R} ), u(x+1)=u(x)
\text{ a.e. } x\in \mathbb{R}\big\}, \nonumber\\
\label{periodsobo}
H_{\rm per}^m (\Omega)=H_{\rm loc}^m (\mathbb{R} ) \cap L_{\rm per}^2 (\Omega)
\end{gather}
where $m\in \mathbb{N} \cup\{0\}$, and 
$u \in L_{\rm loc}^2(\mathbb{R} )$ (or $H_{\rm loc}^m (\mathbb{R} )$) 
if and only if for every open set $\omega\subset\subset \mathbb{R}$ one has
 $u \in L_{\rm loc}^2(\omega)$ (or $H_{\rm loc}^m (\omega)$, respectively). 
Finally, we consider functions with zero average, and we denote by
\begin{gather}
\dot{L}_{\rm per}^2(0,1)
=\{u \in L_{\rm loc}^2(\mathbb{R} ), u(x+1)=u(x) \text{ a.e., } \oint u=0\},\\
\label{hlss}
\dot{H}_{\rm per}^m (0,1)=H_{\rm loc}^m (\mathbb{R} ) \cap \dot{L}_{\rm per}^2 (0,1).
\end{gather}
Note that the {\em dot} stand for functions with zero average, 
and it is not related to time derivatives of the functions.

In this section, we prove the existence and uniqueness of solutions of the 
thermosyphon model  \eqref{systosolve}, with 
$f, h \in \dot{L}_{\rm per}^2(0,1)$, $ T_0 \in \dot{H}_{\rm per}^1 (0,1)$ 
and $S_0 \in \dot{L}_{\rm per}^2 (0,1)$, where 
$\dot{L}_{\rm per}^2 (0,1)$ and $\dot{H}_{\rm per}^1 (0,1)$  are given 
by \eqref{hlss}.

To choose the framework, we note that for $\nu > 0$, if we integrate the 
equation for the temperature along the loop, taking into account the 
periodicity of $T$, i.e., 
$\oint \frac{\partial T}{\partial x}
=\oint \frac{\partial^2 T }{\partial x^2}=0$, we have
 $\frac{d}{dt} (\oint T)=\oint h$, this is 
$\oint T=\oint T_0 + t \oint h$. Therefore, the temperature is unbounded, 
as $t\to \infty$, unless $\oint h=0$. However, taking $\tau=T-\oint T$ 
and $h^*=h-\oint h$ reduces to the case $\oint T(t)=\oint T_0=\oint h=0$, 
since from the second equation of the system \eqref{systosolve}, $\tau$ 
satisfies the equation
\[
\frac{\partial \tau}{\partial t} + v \frac{\partial \tau}{
\partial x} =h(x)+ \nu \frac{\partial^2 \tau}{\partial x^2}, 
\quad \tau(0,x) = \tau_0(x)=T_0-\oint T_0.
\]

Moreover, we integrate the equation for the solute concentration along the 
loop and taking into account the periodicity of $S$, i.e., 
$\oint \frac{\partial S}{\partial x}=\oint \frac{\partial^2 S }{\partial x^2}=0$, 
we obtain $\frac{d}{dt} (\oint S)=0.$ As $\oint S$ is constant, 
it implies that the solute $\oint S= \oint S_0$ for all $t$.

 We consider $\sigma=S-\oint S_0$, then from the third equation of the 
system \eqref{systosolve}, $\sigma$ satisfies the equation (this $\sigma$ 
is an auxiliary variable, not be confused with the stress)
\[
\frac{\partial \sigma}{\partial t}+v\frac{\partial \sigma}{\partial x}
= c \frac{\partial ^{2} \sigma}{\partial x^{2}}
- b\frac{\partial ^{2}\tau}{\partial x^{2}}, \quad 
\sigma(0,x)=\sigma_0(x)=S_0-\oint S_0.
\]
Since $\oint f=0$, we have $\oint (T-S)f=\oint (\tau-\sigma)f $ and the 
equations for $v$ is
\[
\varepsilon \frac{d^2 v}{dt^2}+\frac{dv}{dt} + G(v)v=\oint (\tau-\sigma) f , 
\quad v(0)=v_0,\quad \frac{dv}{dt}(0)=w_0.
\]

Therefore, we obtain $(v,\tau,\sigma)$ satisfying the system \eqref{systosolve}
 with $\tau_0,\sigma_0$ replacing $T_0, S_0$ respectively and
 $\oint f=\oint \tau_0=\oint \sigma_0=0$ and $\oint T(t)=\oint S(t)=0$ 
for all $t\geq0.$ Therefore, hereafter we consider all the functions of 
the system \eqref{systosolve} to have zero average.

Also, if $\nu, c >0$ the operators $\nu A=-\nu\frac{\partial^2}{\partial x^2}$ 
 and $c A=-c\frac{\partial^2}{\partial x^2}$, together with periodic boundary
 conditions, are unbounded, self-adjoint operators with compact resolvent 
in $L_{\rm per}^2 (0,1)$, that are positive when restricted to the space of 
zero average functions in $\dot{L}_{\rm per}^2 (0,1)$. Hence, the equation 
for the temperature $T$  and the equation for the solute concentration 
$S$ in \eqref{systosolve} are of parabolic type for $\nu, c >0$.

 We write the system \eqref{systosolve} as the following evolution 
system for acceleration, velocity, temperature and solute concentration:
\begin{equation}\label{s1}
\begin{gathered}
 \frac{d w}{dt}+\frac{1}{\varepsilon}w  
= -\frac{1}{\varepsilon}G(v)v+\frac{1}{\varepsilon}\oint (T-S) f, \quad w(0)=w_0. \\
\frac{dv}{dt} = w,\quad  v(0)=v_0. \\
\frac{\partial T}{\partial t}+v\frac{\partial T}{\partial x}
 -\nu \frac{\partial^2 T}{\partial x^2}  = h, \quad  T(0,x)=T_0(x),\\
\frac{\partial S}{\partial t}+v\frac{\partial S}{\partial x}
= c \frac{\partial ^{2}S}{\partial x^{2}}- b\frac{\partial ^{2}T}{\partial x^{2}}, 
\quad  S(0,x)=S_0(x).
\end{gathered}
\end{equation}
That is,
\begin{equation}\label{matri}
\frac{d}{dt} \begin{pmatrix}
w \\
v \\
T \\
S
\end{pmatrix}
 + \begin{pmatrix}
1/\varepsilon & 0 & 0 & 0\\
0 & 0 & 0 & 0\\
0 & 0 & -\nu \frac{\partial^2}{\partial x^2} & 0 \\
0 & 0 & 0 & -c \frac{\partial^2}{\partial x^2}
\end{pmatrix}
\begin{pmatrix}
w \\
v \\
T \\
S
\end{pmatrix}
= \begin{pmatrix}
F_1(w,v,T,S) & \\
F_2(w,v,T,S) & \\
F_3(w,v,T,S) & \\
F_4(w,v,T,S)
\end{pmatrix}
\end{equation}
with 
\begin{gather*}
F_1 (w,v,T,S)=-\frac{1}{\varepsilon}G(v)v +\frac{1}{\varepsilon} \oint (T-S)f, \quad
F_2(w,v,T,S)=w, \\
F_3(w,v,T,S)=-v \frac{\partial T}{\partial x}+h, \quad
F_4(w,v,T,S)=-v\frac{\partial S}{\partial x}
-b \frac{\partial^2 T}{\partial x^2},
\end{gather*}
and initial data 
\[
\begin{pmatrix}
w \\
v \\
T \\
S
\end{pmatrix}(0)
= \begin{pmatrix}
w_0 \\
v_0 \\
T_0 \\
S_0
\end{pmatrix}.
\]
 The operator 
\[
B=\begin{pmatrix}
1/\varepsilon & 0 & 0 & 0\\
0 & 0 & 0 & 0\\
0 & 0 & - \nu \frac{\partial^2}{\partial x^2} & 0 \\
0 & 0 & 0 & -c \frac{\partial^2}{\partial x^2}
\end{pmatrix}
\]
is a sectorial operator in 
$\mathcal{Y}=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1)
\times \dot{L}_{\rm per}^2(0,1) $ with domain 
$D(B)=\mathbb{R} ^2 \times \dot{H}_{\rm per}^3(0,1)\times \dot{H}_{\rm per}^2(0,1)$ 
and has compact resolvent, see \eqref{hlss}.

Using the result and techniques about sectorial operator in \cite{he} 
to prove the existence of solutions of the system, we have the following result.

\begin{theorem}\label{ts1} 
We assume that $H( r ) = r G( r ) $  is locally Lipschitz, and that
 $f,h \in \dot{L}_{\rm per}^{2}(0,1)$, with $G(v)\geq G_0>0$. 
Then, given $( w_0, v_0, T_0, S_0 ) \in \mathcal{Y} 
=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) \times \dot{L}_{\rm per}^2(0,1)$, 
there exists a unique solution of \eqref{systosolve} satisfying
\begin{gather*}
( w, v, T, S) \in C([0, \infty), \mathcal{Y}) \cap C(0,\infty, 
\mathbb{R} ^2 \times \dot{H}_{\rm per}^3 (0,1) \times \dot{H}_{\rm per}^2 (0,1)),
\\
\big(\frac{dw}{dt},  \frac{dv}{dt}, \frac{\partial T}{\partial t}, 
\frac{\partial S}{\partial t}\big) \in C(0,\infty, \mathbb{R} ^2 
\times \dot{H}_{\rm per}^{3-\delta} (0,1)\times \dot{H}_{\rm per}^{2-\delta} (0,1)),
\end{gather*}
for every $\delta >0.$ In particular, \eqref{s1} defines a nonlinear semigroup,
 $S^*(t)$ in $\mathcal{Y}=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) 
\times \dot{L}_{\rm per}^2(0,1)$, with 
$S^*(t)(w_0, v_0, T_0, S_0)=(w(t),v(t),T(t,x), S(t,x)) $.
\end{theorem}

\begin{proof}
\textbf{Step (i)} 
We prove the local existence and regularity. 
This follows easily from the variation of constants formula of \cite{he}. 
To prove this, we write the system as \eqref{matri}, and we have
\begin{gather*}
U_t+BU=F(U),\quad\text{with } U=\begin{pmatrix}
w \\
v \\
T \\
S
\end{pmatrix}, \\
B=\begin{pmatrix}
1/\varepsilon & 0 & 0 & 0\\
0 & 0 & 0 & 0\\
0 & 0 & - \nu \frac{\partial^2}{\partial x^2} & 0\\
0 & 0 & 0 & -c \frac{\partial^2}{\partial x^2}
\end{pmatrix},
\quad
 F=\begin{pmatrix}
F_1 \\
F_2\\
F_3\\
F_4
\end{pmatrix}
\end{gather*}
where the operator $B$ is a sectorial operator in 
$\mathcal{Y}=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) 
\times \dot{L}_{\rm per}^2(0,1)$
 with domain $D(B)=\mathbb{R} ^2 \times \dot{H}_{\rm per}^3(0,1) 
\times \dot{H}_{\rm per}^2(0,1)$ and has compact resolvent. 
In this context, the operator $A=-\frac{\partial^2 }{\partial x^2}$ 
must be understood in the variational sense, i.e., 
for every $T,\varphi\in \dot{H}_{\rm per}^1(0,1)$,
 $$
 \langle A(T),\varphi\rangle =\oint \frac{\partial T }{\partial x }
\frac{\partial \varphi }{\partial x }
 $$
and $\dot{L}_{\rm per}^2 (0,1)$ coincides with the fractional space 
of exponent $\frac{1}{2}$ as in \cite{he}. We denote 
$\dot{H}_{\rm per}^{-1}(0,1)$ as the dual space and $\|\cdot\|$ the norm on 
the space $\dot{L}_{\rm per}^2 (0,1)$. If we prove that the nonlinearity 
$F: \mathcal {Y}=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) 
\times \dot{L}_{\rm per}^2(0,1)\mapsto \mathcal {Y}^{-\frac{1}{2}}
=\mathbb{R} ^2 \times \dot{L}_{\rm per}^2 (0,1) 
\times \dot{H}_{\rm per}^{-1}(0,1)$ is well defined, Lipschitz 
and bounded on bounded sets, we obtain the local existence for the initial 
data in $\mathcal{Y}=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) 
\times \dot{L}_{\rm per}^2 (0,1)$.

Using the fact that $H(v)=G(v)v$ is locally Lipschitz together with  
$f,h\in \dot{L}_{\rm per}^2 (0,1) $,  we will prove the nonlinear terms, 
\begin{gather*}
F_1(w,v,T,S)=-\frac{1}{\varepsilon}G(v)v +\frac{1}{\varepsilon} \oint (T-S) f, \quad
F_2(w,v,T,S)=w, \\
F_3(w,v,T,S)=-v\frac{\partial T}{\partial x}+h, \quad
 F_4(w,v,T,S)=-v\frac{\partial S}{\partial x} 
- b \frac{\partial^2 T}{\partial x^2}
\end{gather*}
satisfy 
$F_1: \mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) \times 
\dot{L}_{\rm per}^2 (0,1) \mapsto {\mathbb{R}} $, 
$F_2:\mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) 
\times \dot{L}_{\rm per}^2 (0,1)\mapsto {\mathbb{R}}$,
 $F_3: \mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) 
\times \dot{L}_{\rm per}^2 (0,1) \mapsto \dot{L}_{\rm per}^2(0,1) $ and
 $F_4: \mathbb{R} ^2 \times \dot{H}_{\rm per}^1(0,1) \times 
\dot{L}_{\rm per}^2 (0,1) \mapsto \dot{H}_{\rm per}^{-1}(0,1) $; 
that is, $F: \mathcal {Y} \mapsto \mathcal {Y}^{-\frac{1}{2}}$ is well 
defined, Lipschitz and bounded on bounded sets.

Using the techniques of variation of constants formula  \cite{he}, 
we obtain the unique local solution $(w,v,T,S)\in  C([0,t^*], \mathcal {Y})$ 
(with a suitable $t^*>0$) of \eqref{s1}, which are given by
\begin{equation}  \label{w}
w(t)=w_0 e^{-\frac{1}{\varepsilon}t}- \frac{1}{\varepsilon}\int_0^t e^{-
\frac{1}{\varepsilon}(t-r)}H(r) dr + \frac{1}{\varepsilon}\int_0^t
e^{-\frac{1}{\varepsilon}(t-r)} \oint (T-S)f(r)dr
\end{equation}
with $H(r)=G(v(r))v(r)$.
\begin{gather}  \label{v}
v(t)=v_0 +\int_0^t w(r)dr, \\
 \label{T}
T(t,x)=e^{-\nu A t}T_0 (x) + \int_0^t e^{-\nu A(t-r)}h(x)]dr 
- \int_0^t e^{-\nu A(t-r)}v(r) \frac{ \partial T (r,x)}{\partial x}dr,
\\
 \label{S}
S(t,x )=e^{-cAt}S_0 (x)+ \int_0^t e^{-cA(t-r)}[-v(r) \frac{\partial S}{\partial
x}(r) - b \frac{\partial^2 T}{\partial x^2}(r)]dr.
\end{gather}
where $(w,v,T,S) \in C([0,t^*], \mathcal {Y}=\mathbb{R} ^2 
\times \dot{H}_{\rm per}^1 (0,1) \times \dot{L}_{\rm per}^2 (0,1))$ 
and using again the results of \cite{he}, 
(smoothing effect of the equations together with bootstrapping method),
 we obtain the regularity of solutions.
\smallskip

\noindent\textbf{Step (ii)} 
To prove the global existence, we must show that the solutions are bounded 
in $\mathcal{Y}=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1 (0,1) 
\times \dot{L}_{\rm per}^2 (0,1)$ for finite time intervals and using the 
nonlinearity of $F$, maps bounded on bounded sets, we conclude.

To obtain the norm of $T$ is bounded in finite time, we multiply the equation 
for the temperature by $T$ in $\dot{L}_{\rm per}^2(0,1).$  Then integrating 
by parts, we have
\[
\frac{1}{2} \frac{d}{dt}\|T\|^2 + \nu \|\frac{\partial T}{\partial x}\|^2 
=\oint h T dx
\]
since $\oint T\frac{\partial T}{\partial x}=\frac{1}{2}\oint \frac{\partial}{
\partial x}(T^2)=0 $.

Using Cauchy-Schwartz and Young inequality and then the Poincar\'e 
inequality for functions of zero average, since $\oint T=0$, together with 
$\pi^2 $ is the first nonzero eigenvalue of $A=-\frac{\partial^2}{\partial x^2}$ 
in $\dot{L}_{\rm per}^2(0,1)$, we obtain
\[
\frac{1}{2} \frac{d}{dt}\|T\|^2 + \nu \pi^2 \|T\|^2 
\leq C_{\delta}\|h\|^2 + \delta \|T\|^2,
\]
for every $\delta>0$ with $C_{\delta}=1/(4\delta)$. Thus, taking 
$\delta=\nu \pi^2/2$, $C_{\delta}=1/(2\nu \pi^2)$, we obtain
\begin{equation}  \label{eut2}
\frac{d}{dt}\|T\|^2 + \nu \pi^2\|T\|^2 \leq \frac{\|h\|^2}{\nu \pi^2},
\end{equation}
and we conclude that the norm of $T$ in $\dot{L}_{\rm per}^2(0,1)$ 
remains bounded in finite time.

Now, we prove that the norm 
$\|\frac{\partial T}{\partial x}\|$ remains bounded in finite time intervals. 
For this, multiply the third equation of \eqref{s1} by 
$-\frac{\partial^2 T}{\partial x^2}$ in $\dot{L}_{\rm per}^2(0,1)$. 
Integrating by parts, applying the Young inequality and taking into 
account that
$$
\oint \frac{\partial T}{\partial x}\frac{\partial^2 T}{\partial x^2}
=\frac{1}{2}\oint \frac{\partial(\partial T/\partial x)^2}{\partial x}=0,
$$
since $\partial T/\partial x$ is periodic, we obtain
\[
\frac{1}{2} \frac{d}{dt}\|\frac{\partial T}{\partial x}\|^2 
+ \nu \|\frac{\partial^2 T}{\partial x^2}\|^2 
\leq C_{\delta}\|h\|^2 + \delta \|\frac{\partial^2 T}{\partial x^2}\|^2
\]
for every $\delta>0$ with $C_{\delta}=1/(4 \delta)$. 
Thus, taking $\delta=\nu/2$, and applying the Poincar\'e inequality 
for functions with zero average we obtain
\begin{equation}  \label{deut2}
\frac{d}{dt}\|\frac{\partial T}{\partial x}\|^2 
+ \nu \pi^2 \|\frac{\partial T}{\partial x} \|^2 \leq \frac{\|h\|^2}{\nu},
\end{equation}
since $\pi^2$ is the first nonzero eigenvalue of $A$ in 
$\dot{L}_{\rm per}^2(0,1)$.

Thus we show that the norm of $T$ in $\dot{H}_{\rm per}^1(0,1)$ 
remains bounded in finite time.

Finally, we show that the norm of $S$ in $\dot{L}_{\rm per}^2(0,1)$ does not 
blow-up in finite time. Multiplying the fourth equation of \eqref{s1} by $S$, 
integrating by parts, applying the Young inequality
and again taking into account that 
\[
\oint S \frac{\partial S}{\partial x} =
\frac{1}{2} \oint \frac{\partial S^2 }{\partial x} = 0 ,
\]
 since $S$ is periodic, we obtain
\begin{equation}  \label{esn0}
\frac{1}{2} \frac{d}{dt} \| S \|^2 + (c - \delta )\| 
\frac{\partial S}{\partial x} \|^2 \leq b^2C_{\delta} \| 
\frac{\partial T}{\partial x} \|^2
\end{equation}
for every $\delta >0$ with $C_{\delta} = 1/(4 \delta) $. Thus, 
taking $\delta= c/2$, together with the Poincar\'e inequality for 
functions with zero average, we obtain
\begin{equation}  \label{esn}
\frac{d}{dt} \| S \|^2 + c \pi^2 \| S \|^2 
\leq \frac{b^2}{c}\|\frac{\partial T}{\partial x}\|^2 \leq k_1
\end{equation}
with $k_1 >0$. Therefore $\|S(t)\|$ remains bounded in finite time. 
Since $\|T\|$ and $\|S \|$ are bounded in finite time, imply that 
$|w(t)|,|v(t)|$ remain also bounded in finite time. Hence we have a global 
solution in the nonlinear semigroup in
 $\mathcal{Y}=\mathbb{R} ^2 \times \dot{H}_{\rm per}^1 (0,1) 
\times \dot{L}_{\rm per}^2 (0,1)$.
\end{proof}

\subsection*{Acknowledgements}
We thank A. Rodr\'iguez Bernal and the referee for their helpful comments.
This work has been partially supported by grant MTM2012-31298 from Ministerio
  de Economia y Competitividad, Spain,  GR58/08 Grupo 920894 BSCH-UCM,
  Grupo de Investigaci\'on CADEDIF, Grupo de Din\'amica No Lineal 
(U.P. Comillas)  and  by Project FIS2013-47949-C2-2, Spain.

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\end{document}
