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\AtBeginDocument{{\noindent\small
\emph{Electronic Journal of Differential Equations},
Vol. 2015 (2015), No. 53, pp. 1--18.\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 - San Marcos.}
\vspace{9mm}}

\begin{document}
\title[\hfilneg EJDE-2015/53\hfil Heat conduction]
{Heat conduction problem of an evaporating liquid wedge}

\author[T. B\'arta, V. Jane\v{c}ek,  D. Pra\v{z}\'ak \hfil EJDE-2015/53\hfilneg]
{Tom\'a\v{s} B\'arta, Vladislav Jane\v{c}ek, Dalibor Pra\v{z}\'ak}

\address{Tom\'a\v{s} B\'arta \newline
Charles University in Prague,
Faculty of Mathematics and Physics,
Department of Mathematical Analysis,
Sokolovsk\'a 83,
186 75 Prague 8, Czech Republic}
\email{barta@karlin.mff.cuni.cz}

\address{Vladislav Jane\v{c}ek \newline
University Paris-Sud, CNRS, Lab FAST, Bat 502,
Campus Universitaire, Orsay F-91405, France. \newline
Arcelor Mittal, Voie Romaine, BP 30320,
Maizi\`eres-l\`es-Metz, F-57283, France}
\email{vladislav.janecek@arcelormittal.com}

\address{Dalibor Pra\v{z}\'ak \newline
Charles University in Prague,
Faculty of Mathematics and Physics,
Department of Mathematical Analysis,
Sokolovsk\'a 83,
186 75 Prague 8, Czech Republic}
\email{prazak@karlin.mff.cuni.cz}


\thanks{Submitted  December 17, 2014. Published February 26, 2015.}
\subjclass[2000]{80A20, 45B05, 45E05}
\keywords{Liquid wedge evaporation; heat transfer;
laplace equation; \hfill\break\indent singular boundary conditions}

\begin{abstract}
 We consider the stationary heat transfer near the contact line of an
 evaporating liquid wedge surrounded by the atmosphere of its
 pure vapor. In a simplified setting, the problem reduces to the
 Laplace equation in a half circle, subject to a non-homogeneous
 and singular boundary condition.

 By classical tools (conformal mapping, Green's function), we reformulate
 the problem as an integral equation for the unknown Neumann boundary
 condition in the setting of appropriate fractional Sobolev and weighted space.
 The unique solvability is then obtained by means of the Fredholm theorem.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{remark}[theorem]{Remark}
\newtheorem{corollary}[theorem]{Corollary}
\allowdisplaybreaks

\newcommand{\skal}[2]{\langle {#1},{#2} \rangle}
\newcommand{\norm}[3]{\|{#1}\|_{#2}^{#3}}

\section{Physical background of the problem}


Evaporation of a liquid in a contact with a solid substrate is a
complex phenomenon with crucial importance in industrial
applications, e.g.\ boiling heat exchangers or
heat pipes. Special case of such problem is a stationary
evaporation of liquid into the atmosphere of its pure vapor. The
phase transformation rate is in this case controlled by the heat
amount supplied from the liquid side of the free interface and spent
mainly to compensate the latent heat of vaporisation. Under
partial wetting conditions, a wedge shaped liquid region
(frequently called microregion) bordered from one side by
liquid-vapor-solid contact line and from the other side by bulk
liquid region is formed in the vicinity of the solid wall. The
fluid is considered out of equilibrium due to heating of the
solid substrate.

Such situation has been extensively studied by a number of
authors, see e.g.\ \cite{AD95,PRE13,Morris01,Potash72}.
Majority of research publications rely on isothermal heater
consideration, i.e.\ imposing constant overheating (with respect
to saturation temperature given by ambient pressure) of the
solid heater. Such assumption is justified for vanishing
liquid-solid thermal conductivity ratio $\beta=k_L/k_S$ (e.g.\
for water on metallic heater $\beta\sim 10^{-3}$) for which the
perturbation of temperature field in solid substrate is strongly
localized near the contact line \cite{Mann2002}. To our
knowledge, there are only few research publications considering solid
substrate heat conduction problem in the contact line vicinity,
see e.g.\  \cite{Mathieu_thes, IJHMT01, SB1992, Anderson1994}.
Consideration of such physical complexity of the thermal problem
poses significant complication of the model with weak influence
on the solution of the microregion problem (slope of the free
interface far from contact line and
total evaporated mass). Attention of researchers in this domain
was thus focused rather on other phenomena such as slip length,
interface thermal resistance or Kelvin effect related
principally to liquid domain and its interfaces with surrounding
phases.

In this article, we focus on situation with high thermal
conductivity liquids ($\beta\gtrsim 1$) for which solid heat
conduction problem might be of considerable importance as the
transmission of thermal energy between solid substrate and
liquid vapor-interface is not significantly obstacled by the
liquid thermal resistance. Free interface temperature is thus
practically imprinted on the solid-liquid interface and heat conduction
problems in solid and liquid domains are strongly coupled, e.g. the size of
microregion itself might strongly depend on solid substrate part of the problem.
A practical example of industrial application where such question is of crucial 
importance can be found in advanced nuclear power reactors. A liquid metal,
usually sodium, is used as heat exchange fluid. A common interest is avoiding
boiling of this cooling medium, i.e. nucleation of vapor bubbles on the heat 
transfer solid surfaces.
To model such phenomenon, understanding of heat transfer part of the
problem in the vicinity of the contact line of nucleated bubble is necessary.

For the purpose of this article we consider a simple
fixed 2D geometry similarly as in \cite{Mathieu_thes},
see Figure~\ref{fig1}. In particular, the
contact line (here passing through the origin) does not move.


	 \begin{figure}[htbp]
	 \begin{center}
\begin{picture}(0,0)
\includegraphics{fig1}
\end{picture}
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  \reset@font\fontsize{#1}{#2pt}
  \fontfamily{#3}\fontseries{#4}\fontshape{#5}
  \selectfont}
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\begin{picture}(4752,3349)(661,-2525)
\put(676,-2461){\makebox(0,0)[lb]{\smash{{\SetFigFont{10}{12.0}
{\rmdefault}{\mddefault}{\updefault}{$T_{sat}+\delta T$}
}}}}
\put(3301,314){\makebox(0,0)[lb]{\smash{{\SetFigFont{10}{12.0}
{\rmdefault}{\mddefault}{\updefault}{$T_{\rm sat}$}
}}}}
\put(1351,239){\makebox(0,0)[lb]{\smash{{\SetFigFont{12}{14.4}
{\rmdefault}{\mddefault}{\updefault}{$\frac{\partial T}{\partial y}=0$}%
}}}}
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{\rmdefault}{\mddefault}{\updefault}{$\alpha$}
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\end{center}
\caption{Geometry of the problem}
\label{fig1}
\end{figure}

As explained above, our focus here is the problem of the temperature
distribution $T^{S}=T^{S}(x,y)$ in the solid
domain, described by the following system of equations
\begin{gather}	\label{f1}
    \Delta T^{S} = 0, \quad x^2 + y^2 < R^2,\; y < 0\,,
    \\	\label{f2}
	T^{S} = T_{\rm sat} + \delta T, \quad x^2 + y^2 = R^2,\; y< 0
    \\ \label{f3}
	\frac{\partial T^S}{\partial y} = 0, \quad -R < x < 0,\; y=0\,,
    \\ \label{f4}
	k_S \frac{\partial T^S}{\partial y} = k_L \frac{ T_{\rm sat} - T^S }{\alpha x},
		\quad 0 < x < R,\; y=0\,.
\end{gather}
Here $T_{\rm sat}$ is the saturation temperature of the liquid-gas
interface, and $\delta T>0$ is the external heating of the lower
circular boundary of the
solid. The heat transfer through the liquid-solid interface is captured
by the boundary condition \eqref{f4}, which is a result of the following
simplifying assumptions:
\begin{enumerate}
    \item The temperature profile in the $y$-direction in the (thin)
liquid layer is linear, meaning that $T_{\rm sat} - T^S = - h q_L
/ k_L$, where $h$ is the thickness of the fluid layer, $q_L = k_S
\frac{\partial T^S}{\partial y}$ is the heat flux at the solid-liquid interface
(positive for evaporation),
and $k_L$, $k_S$ stand for the thermal conductivity of the liquid
and the solid, respectively.

    \item The liquid layer has a fixed geometry of straight
wedge of a fixed (small) angle $\alpha$, hence $h=\alpha x$. We
note that in a regular perturbation (w.r. to small $\delta T$),
the linear wedge is a first order approximation of the
isothermal outer contact line problem, cf.  Morris \cite{Mor00}.

\end{enumerate}

There have been  several studies, devoted to this
or a similar problem from the applied mathematics point of view, 
see e.g.\ Anderson and Davis \cite{Anderson1994}, Morris \cite{Mor00}.
However, none of these papers seem to address the mathematical
question of the existence and uniqueness of solution. In view of
the singularity of the boundary condition \eqref{f4} near the
origin, this issue is certainly not trivial; in fact, it poses
an interesting mathematical problem.

In this article, we establish the mathematical
consistency of the above model. We show that the
system \eqref{f1}--\eqref{f4} can be reduced to finding the
unknown heat flux $\frac{\partial T^S}{\partial y}$ on the solid-liquid interface
in a class of negative exponent Sobolev functions with singular
weight. In particular, the condition \eqref{f4} is
reformulated as an integral equation, which is shown to be
uniquely solvable by a Fredholm-type argument.

\section{Formulation of the main theorem}

After suitable rescaling and non-dimensionalization,
the equation to be solved can be written as
\begin{gather} 	\label{F1}
	\Delta T =0 \quad \text{in } M
	\\	\label{F2}
	T = \theta \quad \text{on }\Gamma_1
	\\	\label{F3}
	\frac{\partial T}{\partial Y} = 0 \quad \text{on }\Gamma_2
	\\	\label{F4}
	K \frac{\partial T}{\partial X} = - \frac{T + \sigma}{X}
			\quad \text{on }\Gamma_3\,,
\end{gather}
where $T=T(X,Y)$ is the unknown temperature distribution in
$ M = \{ X^2 + Y^2 < 1,\ Y < 0 \}$. The boundary of $ M$ 
is split into three parts $\Gamma_1 = \{ X^2 + Y^2 = 1,\ Y <0 \}$,
$\Gamma_2 = \{ -1 < X < 0,\ Y=0 \}$ and
$\Gamma_3 = \{ 0 < X < 1,\ Y=0 \}$;
$\theta=\theta(X,Y)$,
$\sigma=\sigma(X)$ are given functions on the respective parts of the boundary.
We note that $K=\alpha / \beta$ is typically small in our
setting.


The main result of this article is the following. We remark that
$\gamma_{iN}$ or $\gamma_{iD}$ denotes the Neumann or the Dirichlet
boundary operator for $\Gamma_i \subset \partial M$.
We refer the reader to Appendix for detailed treatment of these issues
and definitions of function spaces.

\begin{theorem} \label{T:main}
For any $\theta \in H^{1/2}(\Gamma_1)$, $\sigma \in H^{1/2}(\Gamma_3)$,
there exists unique $T\in H^1( M)$ such that
$\gamma_{3N}(T) \in H^{-1/2}(\Gamma_3) \cap L^2_{xdx}(\Gamma_3)$,
$\gamma_{3D}(T) + \sigma \in L^2_{dx/x}$,
satisfying \eqref{F1}--\eqref{F4}.
\end{theorem}

The uniqueness part is equivalent to saying that for the
homogeneous problem (i.e., with $\theta=\sigma=0$), there is only the
trivial solution. And this is straightforward to prove: multiplying \eqref{F1}
by $T$ and using Green's formula together with the boundary conditions, one
deduces
\begin{equation} \label{Fh}
	0 = \int_ M |\nabla T|^2 dXdY + \int_{\Gamma_3} \frac{T^2}{KX} dX
\end{equation}
Thus $T$ is constant in $ M$ and zero on $\Gamma_1$ and $\Gamma_3$,
hence identically zero function. The computation is rigorous in the
functional setup of Theorem~\ref{T:main}, cf.\ Corollary~\ref{lem-A} in the Appendix.


The content of this article is outlined as follows: without loss of
generality, one can assume that $\theta = 0$ in \eqref{F2}. Indeed, it
is possible to write $T=T_0+\Theta$, where $\Theta$ is a suitable
harmonic extension of $\theta$ into $ M$, and $T_0$ solves
the problem with zero on $\Gamma_1$, with appropriately modified
boundary condition on $\Gamma_3$.

In Section~3, we solve an auxiliary problem \eqref{F1}--\eqref{F3}
with $\theta=0$ and together with
\begin{equation} \label{F5}
	\frac{\partial T}{\partial Y} = \tau \quad \text{on }\Gamma_3
\end{equation}
for a given Neumann boundary condition $\tau \in H^{-1/2}(\Gamma_3)$.
Transforming conformally to the upper half-plane, we express the solution
explicitly by means of a convolution of $\tau$ with a suitable
logarithmic kernel.

In Section~4, we are thus able to rewrite \eqref{F4} as an integral
equation for the unknown value of $\tau = \frac{\partial T}{\partial Y}$. We identify the
appropriate functional setup, in which the problem is reduced to a
Fredholm-type operator equation. The existence of a unique solution
$\tau$ is now a direct consequence of Fredholm's theorem.

The problem and its solution combine classical PDE analysis
with modern tools from the theory of Sobolev spaces;
most of this is well-known and can be found in various
books. However, for the sake of completeness and readers convenience, we
present in Appendix detailed treatment of these issues.

\section{Problem with a given heat flux}

In this Section, we solve an auxiliary problem
\begin{gather} 	\label{H1}
	\Delta T =0 \quad \text{in }  M
	\\	\label{H2}
	T = 0 \quad \text{on }\Gamma_1
	\\	\label{H3}
	\frac{\partial T}{\partial Y} = 0 \quad \text{on }\Gamma_2
	\\	\label{H4}
	\frac{\partial T}{\partial Y} = \tau
			\quad \text{on }\Gamma_3\,,
\end{gather}
for a given heat flux $\tau=\tau(X)$. Using the conformal mapping and the
explicit form of the Green's function for the corresponding problem in the
half plane, we will be able to write $T$ explicitly in terms of a
convolution with a suitable logarithmic kernel.

We start by observing that the mapping
\begin{equation} \label{H5}
F(Z) = \frac{1-Z}{1+Z}
\end{equation}
or, writing $Z=X+iY$, $F=F_1 + iF_2$,
\begin{equation} \label{H6}
F_1(X,Y) = -1 + \frac{2(1+X)}{(1+X)^2+Y^2}
    \quad
F_2(X,Y)) = \frac{-2Y}{(1+X)^2+Y^2}
\end{equation}
maps the lower half-circle to the first quadrant $\{x>0,\ y>0 \}$.
More specifically, boundary \eqref{H2} goes to the positive
imaginary axis $\{ x=0,\ y>0 \}$,
boundary \eqref{H3} goes to $\{x>1, y=0\}$
and boundary \eqref{H4} goes to $\{ 0 < x < 1, y=0 \}$.

Hence, we want to solve
\begin{equation} \label{q1}
\Delta u = 0, \quad x>0,\; y>0
\end{equation}
subject to boundary conditions
\begin{gather} \label{q2}
	u = 0, \quad x=0, \; y>0 \\ \label{q3}
	\frac{\partial u}{\partial y} =0, \quad x>1, \; y=0 \\ \label{q4}
	\frac{\partial u}{\partial y} = \psi, \quad 0 < x < 1, \; y=0 \,,
\end{gather}
for some given function $\psi=\psi(x)$.
Note however that we have to be careful while coming
from $\tau(X)$ to $\psi(x)$, since $F$ is not isometry
of the corresponding boundaries \eqref{q4}, \eqref{H4}.
We will come to this problem later.

Recall that the function
\begin{equation} \label{h1}
	V(x,y) = \frac{1}{2\pi} \ln\big(x^2+y^2)
\end{equation}
is the fundamental solution to the Neumann problem in the upper
half-plane. More precisely, it solves
\begin{gather}
	\Delta V = 0,
		\quad -\infty< x < \infty, \; y>0 \,,	\label{h2}
		\\
	\frac{\partial V}{\partial y} = \delta_0(x),
		\quad -\infty< x < \infty, \; y=0+\,.	\label{h3}
\end{gather}
Hence, we can solve the problem with arbitrary
boundary condition $\psi=\psi(x)$
\begin{gather}
	\Delta u = 0,
	       \quad -\infty< x < \infty, \; y>0 \,,  \label{h4}
		\\
	\frac{\partial u}{\partial y} = \psi,
	\quad -\infty< x < \infty, \ y=0 \label{h5}
\end{gather}
via the convolution
\begin{equation} \label{h6}
	u(x,y) = \frac{1}{2\pi} \int_{-\infty}^{\infty}
		\ln\big( (x-\xi)^2 + y^2 \big) \psi(\xi) d\xi\,.
\end{equation}
Coming back to problem \eqref{q1}--\eqref{q4}, we extend the boundary conditions
\eqref{q3}--\eqref{q4} as an odd function for $x<0$; by symmetry this means that
\eqref{q2} is automatically satisfied.
Thus we can eventually express the solution to \eqref{q1}--\eqref{q4} as
\begin{equation} \label{q5}
u(x,y) = \frac{1}{2\pi} \int_0^1 \ln\Big(
\frac{(x-\xi)^2 + y^2}{(x+\xi)^2+y^2)} \Big) \psi(\xi) d\xi\,.
\end{equation}
We refer to Appendix, Lemma~\ref{lem-a4}, for rigorous treatment in the
appropriate function spaces.
Now we come back to the problem \eqref{H1}--\eqref{H4}.
We set
\begin{equation} \label{bc1}
	T = u \circ F\,.
\end{equation}
Thanks to the properties of conformal mappings, $T$ is a
harmonic function with finite $L^2$-norm of the gradient, if and only if 
$u$ is such a function on the corresponding domain.

Concerning the boundary conditions,
\eqref{H2} is equivalent to \eqref{q2}. Furthermore,
\begin{equation} \label{bc2}
\frac{\partial T}{\partial Y} = \Big( \frac{\partial u}{\partial x} 
\circ F \Big) \frac{\partial F_1}{\partial Y}
+\Big( \frac{\partial u}{\partial y} \circ F \Big) 
\frac{\partial F_2}{\partial Y}\,.
\end{equation}
If $Y=0$, then $\frac{\partial F_1}{\partial Y}=0$, while $\frac{\partial F_2}{\partial Y}=-2/(1+X)^2$.
Hence \eqref{H3} is equivalent to \eqref{q3} and the relation
between \eqref{H4} and \eqref{q4} reads
\begin{equation} \label{bc3}
\tau(X) = -\frac{2}{(1+X)^2} \psi\Big( \frac{1-X}{1+X} \Big)
\end{equation}
or
\begin{equation} \label{bc4}
\psi(x) = - \frac{2}{(1+x)^2} \, \tau\Big( \frac{1-x}{1+x} \Big)\,,
\end{equation}
for $X$ respectively $x$ in $[0,1]$ and extended by zero to $\mathbb{R}$.
Clearly $\tau \in H^{-1/2}(\mathbb{R})$ with a support in $[0,1]$, if and
only if $\psi$ has the same property.
In view of \eqref{q5}, solution to the original problem (\ref{H1}--\ref{H4}) can
be written as
\begin{equation} \label{bc5}
T = \frac{1}{\pi} \int_{0}^1
\ln\Big( \frac{(F_1(X,Y)+\xi)^2 + (F_2(X,Y))^2}%
{(F_1(X,Y)-\xi)^2+(F_2(X,Y))^2)} \Big)
\tau\Big( \frac{1-\xi}{1+\xi} \Big) \frac{d\xi}{(1+\xi)^2}\,,
\end{equation}
where $F_1$, $F_2$ are given in \eqref{H6}. We have established
the following result. We refer to Appendix, Lemma~\ref{lem-a5} and Lemma~\ref{isom-lemma}
for the detailed proof.

\begin{lemma} \label{L:fixed}
    Let $\tau \in H^{-1/2}(\mathbb{R})$ with support in $[0,1]$ be given.
    Then the (unique) solution $T \in H^1( M)$ to problem
    \eqref{H1}--\eqref{H4} is given by formula \eqref{bc5}.
\end{lemma}

\section{Proof of Theorem~\ref{T:main}}

In view of the previous section, we can reformulate our task as
follows: find $\tau \in H^{-1/2}(0,1)$ such
that
\begin{equation} \label{P1}
    K X \tau(X) = - \gamma_{3D}(T_\tau)(X) - \sigma(X)\,,
\end{equation}
where $T_\tau\in H^1( M)$ is the solution to \eqref{H1}--\eqref{H4},
given above by formula \eqref{bc5}; and $\gamma_{3D}:H^1( M) \to
H^{1/2}(\Gamma_3)$ is the Dirichlet trace operator for $\Gamma_3$.
We set
\begin{equation} \label{idf}
F(X) = F_1(X,0) = \frac{1-X}{1+X} ;
\end{equation}
it is useful to note that $F=F^{-1}$. Making the substitution
$\xi' = F(\xi)$ and setting $Y=0$, we eventually obtain 
(at least for smooth functions $\tau$)
\begin{equation} \label{N3D}
    \gamma_{3D}(T_\tau)(X) = \frac1{\pi} \int_0^1 \ln
    	\left| \frac{ F(X) - F(\xi) }{ F(X) + F(\xi) }
	\right| \tau(\xi) d\xi
	= -\mathcal{K}_1 \tau(X) + \mathcal{K}_2 \tau(X)\,,
\end{equation}
where
\begin{gather}\label{defK1}
\mathcal{K}_1 \tau(X) = - \int_0^1 \frac{1}{\pi} \tau(\xi) \ln| X - \xi | d\xi
		\\	\label{defK2}
\mathcal{K}_2 \tau(X) = - \int_0^1 \frac{1}{\pi} \tau(\xi) \ln| 1 - \xi X| d\xi.
    \end{gather}
However, operators $\mathcal{K}_1$, $\mathcal{K}_2$ are continuous 
from $H^{-1/2}(\Gamma_3)$
to $H^{1/2}(\Gamma_3)$ (see Lemma \ref{lem-a7}) and formula \eqref{N3D} 
holds for all $\tau\in H^{-1/2}(0,1)$ (see Lemma \ref{lem-a5}).

Our problem is reduced to an integral equation (writing henceforth $X$
and $K$ in lowercase)
\begin{equation} \label{i0}
    k x\tau(x) + \mathcal{K}_1 \tau(x) = \mathcal{K}_2 \tau(x) - \sigma(x),
    \quad x\in[0,1]\,.
\end{equation}
The key observation is that the operator on the left-hand side can be
inverted in the appropriate functional setting. Let us remark that 
the weighted Lebesgue spaces $L^2_{xdx}$ and $L^2_{dx/x}$ (see Appendix 
for definitions), which appear in the following lemma, are natural for this 
problem due to condition~\eqref{F4}.

\begin{lemma} \label{L:invert}
    For any $f \in H^{1/2}(0,1) + L^2_{dx/x}(0,1)$, there exists a unique
    $\tau \in H^{-1/2}(0,1) \cap L^2_{xdx}(0,1)$ such that
    \begin{equation} \label{i1}
	k x \tau(x) + \mathcal{K}_1 \tau(x) = f(x), \quad x \in [0,1] .
    \end{equation}
    Moreover, the operator $f(x) \mapsto \tau(x)$ is continuous between
    the above-mentioned spaces.
\end{lemma}

\begin{proof}
Let us set  $X = H^{-1/2}(0,1) \cap L^2_{xdx}(0,1)$.
 Then $X':=H^{1/2}(0,1) + L^2_{dx/x}(0,1)$ is dual to $X$ 
(see Section \ref{Xspace-section}).
Since $\tau(x) \mapsto x\tau(x)$ is obviously bounded from $L^2_{xdx}$ 
to $L^2_{dx/x}$ and $\mathcal{K}_1$ is bounded from $H^{-1/2}$ to $H^{1/2}$ by
 Lemma \ref{lem-a7}, the mapping
$$
a(\tau,\phi):=k \int_0^1 x\tau(x)\phi(x) + \langle \mathcal{K}_1\tau, \phi\rangle_{(0,1)}
$$
is a continuous bilinear form on $X\times X$. Moreover, we have
 $\int_0^1 x\tau^2(x)= \|\tau\|^2_{L^2_{xdx}}$ and
$$
\langle \mathcal{K}_1\tau, \tau\rangle_{(0,1)} 
= \langle g*\tau, \tau\rangle_{(0,1)} \ge c\|\tau\|^2_{H^{-1/2}(0,1)}
$$
since $g(x)=-\frac1{\pi}\ln x$ is a positive definite function on $(0,1)$ 
(see Lemma \ref{lem-a7}). Therefore, by the Lax--Milgram Theorem,
 for every $f\in X'$ there exists a unique solution $\tau \in X$ to
\begin{equation} \label{i2}
    k \skal{x\tau(x)}{\varphi(x)} + \skal{\mathcal{K}_1\tau(x)}{\varphi(x)}
    = \skal{f(x)}{\varphi(x)}, \quad \forall \varphi \in X
\end{equation}
and the assertion is proved.
\end{proof}


\begin{proof}[Proof of Theorem~\ref{T:main}]
The solution $T$ can clearly be written as $T=T_0 + \Theta$, where
$\Theta\in H^1$ is an even and harmonic extension of $\theta$ to the unit
disc, and $T_0$ satisfies the zero boundary condition in \eqref{F2},
while $\sigma$ is replaced by $\sigma - \gamma_{3D}(\Theta)\in H^{1/2}(\Gamma_3)$ 
in \eqref{F4}.
Note that the value of $\frac{\partial T}{\partial Y}$ for $Y=0$ is not affected as
the extension is even.

As explained above, our problem is now equivalent to finding
$\tau \in X$ such that
\begin{equation} \label{i4}
    \mathcal{B} \tau = \mathcal{K}_2 \tau - \sigma + \gamma_{3D}(\Theta)\,,
\end{equation}
where $\mathcal{B}\tau$ denotes the left-hand side of
\eqref{i0}; equivalently, in view of Lemma~\ref{L:invert},
\begin{equation} \label{i5}
    \mathcal{B}( I - \mathcal{B}_{-1}\mathcal{K}_2 ) \tau = -\sigma + \gamma_{3D}(\Theta)\,.
\end{equation}
Since $\mathcal{K}_2$ is compact from $L^2_{xdx}$ into $L^2_{dx/x}$ (see Lemma \ref{lem-a7})
we obtain a Fredholm type equation, which is uniquely solvable for any
right-hand side if and only if the left-hand side has a trivial kernel.

However, this is equivalent to saying that the homogeneous problem,
i.e., with $\theta = \sigma = 0 $ only has a trivial solution. And this has
been established  above, cf. \eqref{Fh} and the following discussion.
\end{proof}

    \begin{remark} \rm
	If can be shown that if $k\gtrsim 1$, the first term on the
	left-hand side of \eqref{i0} dominates the operator $\mathcal{K}_2$,
	making the proof considerably simpler. We recall however that
	$k$, i.e., $K$ in \eqref{F4}, is small in our setting.
    \end{remark}

\section{Appendix}


Here we summarize several auxiliary results and facts of technical
character. In particular, we provide rigorous treatment of Dirichlet and
Neumann traces of $H^1$ functions. We show that (locally) the traces are
characterized as limit of $u$ from inside. This enables to identify the
trace on (relatively open) parts of the boundary.

We also show that various integrals, which are somehow abusively used in
the text, are well-defined in a sense of (unique) bounded extension of
densely defined linear mappings; this is consistent with the way the
traces are understood. The inverse problem of the Green operator is treated
in this functional setting, too.

\subsection{Function spaces}		\label{FS-section}

\subsubsection{Spaces $H^{1/2}$ and $H^{-1/2}$}

Definitions and results of this section are taken from Grisvard \cite{Gri11}, 
Runst and Sickel \cite{RS96} and Franke \cite{Fra86}.
Let us define the spaces $H^s=H^s(\mathbb{R})$ for an arbitrary $s\in\mathbb{R}$ as the 
set of all distributions $u$ on $\mathbb{R}$ satisfying
\begin{equation} \label{hs-def}
\|u\|_{H^s}:=\int_\mathbb{R} (1+|\xi|^{2})^s|\hat{u}(\xi)|^2 \,d\xi
<+\infty
\end{equation}
with the norm given by \eqref{hs-def} ($\hat{u}$ is the Fourier transform of $u$).

Let $I\subset \mathbb{R}$ be an open bounded interval. For $s\in(0,1)$ we 
define $H^s(I)$ as the set of functions with an extension belonging to 
$H^s(\mathbb{R})$ with
$$
\|u\|_{H^s(I)}:=\inf \{ \|v\|_{H^s}:\ u=v|_I\}.
$$
It is known that $\mathcal{D}(I)$ is dense in $H^s(I)$ and
\begin{equation} \label{HsG}
\norm{u}{L^2(I)}{2}
+
\iint_{I \times I}
\frac{ | u(x) - u(\tilde x)|^2 }{ |x - \tilde x|^{1+2s} } \,
	dx d\tilde x
\end{equation}
is an equivalent norm on $H^s(I)$.
For $s\in(-1,0)$ we set $H^s(I):=(H^{-s}(I))'$.

Further, for $s\in (0,1)$ we define $\tilde H^s(I)$ to be the space 
of all functions in $H^s(I)$ that belong to $H^s(\mathbb{R})$ when extended by zero. 
It is known that $\tilde H^s(I)$ is a Banach space with the norm
$$
\|u\|_{s,\sim}:=\|u\|_{L^2(I)} + \int_I \frac{|u(s)|^2}{d(s,\partial I)} ds,
$$
where $d(s,A)$ is the distance of $s$ and the set $A$. Moreover, $\mathcal{D}(I)$ is 
dense in $\tilde H^s(I)$ and the restriction of any $T\in H^{-s}(\mathbb{R})$ to $I$ 
belongs to $(\tilde H^s(I))'$.


Let $\Gamma \subset \mathbb{R}^2$ be a Lipschitz $1$-manifold, i.e., it is locally a
graph of a Lipschitz function $\phi : I \to \mathbb{R}^2$. For $s\in (-1,1)$, we
define the space $H^s(\Gamma)$ via parametrization and partition of unity. 
In particular, we say that a distribution $u$ on $\Gamma$ belongs to $H^s(\Gamma)$, 
if $(u\theta)\circ \phi\in H^s$ for every Lipschitz continuous $\phi:I\to \Gamma$ 
and smooth $\theta$ supported in $\phi(I)$. It is known that an equivalent 
norm on $H^s(\Gamma)$ is given by \eqref{HsG} where we replace $I$ by $\Gamma$ 
and integrate with respect to the Hausdorff measure on $\Gamma$.

Let us prove several Lemmas (we denote the duality between $H^{-1/2}(J)$ and 
$H^{1/2}(J)$ by $\langle\cdot,\cdot\rangle_J$).

\begin{lemma} 	\label{isom-lemma}
Let $a\in (0,1)$. Then the spaces $H^{-a}(I)$ and
\begin{equation} \label{nr}
H^{-a}(\mathbb{R}) \cap \lbrace \operatorname{supp} \subset
\overline{I} \rbrace
\end{equation}
are isomorphic to each other.
\end{lemma}

\begin{remark} \rm
Second condition in \eqref{nr} is understood in
the sense of $\mathcal{D}'(\mathbb{R}) \supset H^{-a}(\mathbb{R})$.
Equivalently, it means all the elements $\tau \in H^{-a}(\mathbb{R})$
that vanish on test functions $\phi \in H^{a}(\mathbb{R})$ with
$\operatorname{supp}\phi \cap \overline{I} = \emptyset$.
By a simple shifting argument, it is the same as to require
that $\skal{\tau}{\phi}_{\mathbb{R}}$ vanishes whenever
$\operatorname{supp}\phi \cap \operatorname{int}I = \emptyset$.
\end{remark}

\begin{proof}[Proof of Lemma \ref{isom-lemma}]
For $\tau \in H^{-a}(I)$, we define
$I_1 \tau$ by the formula
\begin{equation} \label{ni1}
\skal{ I_1 \tau}{\phi}_{\mathbb{R}} := \skal{ \tau }{R\phi}_{I}
\quad \phi \in H^{a}(\mathbb{R})
\end{equation}
where $R$ is the restriction to $I$. Clearly, $R:H^{a}(\mathbb{R})
\to H^{a}(I)$ is continuous, hence $I_1\tau \in
H^{-a}(\mathbb{R})$. Moreover, if $\operatorname{supp}\phi \cap
\overline{I} = \emptyset$, then $R\phi = 0$ in $I$, hence
$I_1\tau$ indeed belongs to the space \eqref{nr}.

Conversely, let $\tau$ belongs to the space \eqref{nr}.
We then define $I_2 \tau$ by the formula
\begin{equation*}
\skal{I_2\tau}{\phi}_I := \skal{\tau}{E\phi}_\mathbb{R}
\quad \phi \in H^{a}(I)
\end{equation*}
where $E$ is an (arbitrary) extension operator $E:H^{a}(I) \to
H^{a}(\mathbb{R})$. Now $I_2\tau$ belongs to $H^{-a}(I)$ in view of
the continuity of $E$. Moreover, $I_2\tau$ does not depend on
the particular choice of $E$, since $\operatorname{supp}(E\phi -
\tilde E \phi) \cap I = \emptyset$ for arbitrary choice of
extension operators $E$, $\tilde E$.

Observe finally that $I_1 I_2 \tau = \tau$, $I_2 I_1 \tau =
\tau$ for any $\tau$ in \eqref{nr} or $\tau \in H^{-a}(I)$,
respectively. Indeed, for $\tau$ in \eqref{nr},
\begin{equation*}
\skal{I_1 I_2 \tau}{\phi}_{\mathbb{R}} =
\skal{\tau}{ER \phi}_{\mathbb{R}} = \skal{\tau}{\phi}_{\mathbb{R}}
\quad \phi \in H^{a}(\mathbb{R});
\end{equation*}
the second equality follows since $ER \phi$ and $\phi$ can only
differ outside $I$. Similarly,
\begin{equation*}
\skal{I_2 I_1 \tau}{\phi}_{I} =
\skal{\tau}{RE \phi}_{I} = \skal{\tau}{\phi}_{I}
\quad \phi \in H^{a}(I)
\end{equation*}
since obviously $RE\phi = \phi$.
\end{proof}


\begin{lemma}\label{density-lemma}
The space $\mathcal{D}(\operatorname{int} I)$ is dense in
$H^{-a}(I)$.
\end{lemma}

\begin{proof}
Let $\tau \in H^{-a}(I)$ be given. Then $I_1\tau$
belongs to \eqref{nr}. By scaling, there exist $\psi_n \to
I_1\tau$ in $H^{-a}(\mathbb{R})$ with support strictly inside $I$;
these can be further approximated by smooth functions
(which we identify with the corresponding regular
distributions) with slightly larger support still inside $I$.

Now $\tau_n = I_2 \psi_n$ is the desired approximation. Indeed,
$I_2 \psi_n \to I_2 I_1 \tau = \tau$. On the other hand,
\begin{equation}
\skal{\tau_n}{\phi}_I =
\skal{ I_2 \psi_n }{\phi}_{I}
= \skal{\psi_n}{E\phi}_{\mathbb{R}}
= \int_{\mathbb{R}} \psi_n E\phi = \int_I \psi_n \phi
\quad \phi \in H^{a}(I)\,.
\end{equation}
In other words, $\tau_n$ is represented by $R\psi_n$ and we are done.
\end{proof}


\begin{lemma} \label{composition-lemma}
Let $\phi$ be a Lipschitz mapping from $I$ onto $I$ with Lipschitz 
continuous inverse. Then the following holds
\begin{enumerate}
\item $u\in H^{1/2}(I)$ if and only if $u\circ \phi\in H^{1/2}(I)$,
\item $u\in H^{-1/2}(I)$ if and only if $(u\circ \phi)\phi' \in H^{-1/2}(I)$.
\end{enumerate}
\end{lemma}

\begin{proof}
The first assertion is obvious using the norm \eqref{HsG}, 
the second assertion follows from the first one using the duality and substitution.
\end{proof}

\subsubsection{Spaces $L^2_{xdx}$ and $L^2_{dx/x}$}

We will also work with weighted $L^2$ spaces on $[0,1]$
with the norms
\begin{gather}
\norm{u(x)}{xdx}{2} = \int_0^1 |u(x)|^2 x dx,
\\
\norm{v(x)}{dx/x}{2} = \int_0^1 |v(x)|^2 \frac{dx}{x}.
\end{gather}
The spaces will be denoted $L^2_{xdx}$ and $L^2_{dx/x}$, respectively.
These spaces are separable and (in view of being dual to each other),
reflexive. The following lemma shows how compact subsets of $L^2_{dx/x}$ look like.

\begin{lemma}
The set $K\subset L^2_{dx/x}$ is precompact, if for every $\delta\in (0,1)$ 
the set $\{f|_{(\delta,1)}:\ f\in K\}$ is precompact in $L^2(\delta,1)$ 
and for every $\varepsilon>0$ there exists $\delta>0$ such that 
$\|f|_{(0,\delta)}\|_{dx/x}<\varepsilon$ for all $f\in K$.
\end{lemma}

\begin{proof}
Consider $\Phi:L^2_{dx/x}(0,1) \to L^2(-\infty,0)$ defined by 
$(\Phi f)(t):=f(e^t)$. Then $\Phi$ is an isometric isomorphism between 
these spaces. The assertion follows from Theorem 2.33 in Adams \cite{Ada03}.
\end{proof}


\subsubsection{Sums and intersections of spaces}	\label{Xspace-section}

Let us define the following spaces
\begin{eqnarray*}
X:= H^{-1/2}(0,1)\cap L^2_{xdx}(0,1),\quad X':= H^{1/2}(0,1) +  L^2_{dx/x}(0,1).
\end{eqnarray*}
These spaces are dual to each other (see Liu and Rooij \cite{LR69})
 with the duality defined as follows
$$
\langle f,g \rangle:= \langle f,g_1 \rangle_{H^{-1/2},H^{1/2}} + \int_0^1 fg_2,
$$
where $f\in X$, $g\in X'$, $g=g_1+g_2$, $g_1\in H^{1/2}(0,1)$, 
$g_2\in L^2_{dx/x}(0,1)$.

\subsection{Dirichlet and Neumann trace}

Let $\Omega \subset \mathbb{R}^d$ be bounded with Lipschitz boundary. Then there
exists a bounded, linear operator $\gamma_{D} : H^1(\Omega) \to
H^{1/2}(\partial \Omega)$ such that $\gamma_{D}(u) = u |_{\partial
\Omega}$ if $u \in C^1(\overline{\Omega})$.

If $u$ is smooth (in particular, if $u$ is harmonic) in $\Omega$, then
$\gamma_{D}$ can be (locally) characterized as a limit for $x\to \partial
\Omega$. More precisely: let $x_0 \in \partial \Omega$, let $w \in \mathbb{R}^d$
be ``outward'' direction so that $x - hw \in \Omega$ for all $x \in
U(x_0,2\delta) \cap \partial \Omega$ and $0<h<\delta$. Then $u(\cdot - h
w)$ are smooth functions that converge to $u$ in $H^1(U(x_0,2\delta)\cap
\Omega)$. Hence $u(\cdot - hw)_{U(x_0,\delta)\cap \partial \Omega} \to
\gamma_D(u)|_{U(x_0,\delta)}$. Note that this enables to identify the
trace locally, i.e. in a neighborhood of a given point, or on a
relatively open part of the boundary.

If $u \in H^1(\Omega)$, $\nabla u \in L^2(\Omega)$ is not defined on the
boundary in the above sense. However, its normal component $\nabla u
\cdot n$ can be identified provided some estimates of $\Delta u$
are available.

\begin{lemma} \label{lem-a1}
Let $\Omega$ be bounded domain with Lipschitz boundary. Then there exists
a bounded, linear operator $\gamma_{N}:H^1(\Omega) \cap \big\{ \Delta u
\in H^{-1}(\Omega)\big\} \to H^{-1/2}(\partial \Omega)$ such that
$\gamma_{N}(u) = \nabla u\cdot n $ if $u \in C^1(\overline{\Omega})$.
\end{lemma}

\begin{proof}
Let $\tilde{v} \in H^1(\Omega)$ be such that $\gamma_{D}(\tilde{v}) = v$.
Then we set
\begin{equation}	\label{green}
\skal{\gamma_{N}(u)}{v} = \int_\Omega \nabla u \cdot \nabla \tilde{v}
		+ \skal{\Delta{u}}{\tilde{v}}\,.
\end{equation}
The continuity is clear since the extension mapping $v \mapsto \tilde{v}$
can be chosen in a continuous way. Linearity is also obvious, but we need
to verify that $\gamma_{N}(u)$ is independent of the particular choice of
$\tilde{v}$. However, this amounts to say that
\begin{equation}
\int_\Omega \nabla u \cdot \nabla \tilde{w} =
- \skal{ \Delta{u}}{\tilde{w}}
\end{equation}
for any $\tilde{w} \in H^1_0(\Omega)$. But this is true for $w \in
C^{\infty}_0(\Omega)$ and extends to the desired conclusion by
continuity on the both sides.
\end{proof}

Note that if $u \in H^1(\Omega)$ is (weakly) harmonic, and
$v \in H^1(\Omega)$, then
\[
\skal{\gamma_N(u)}{\gamma_D(v)} = \int_\Omega \nabla u \cdot
\nabla v
\]
which can be seen as a generalized Green's formula. We observe that
the general point behind Lemma~\ref{lem-a1} is that one can define
the normal boundary component $u\cdot n$ for $u \in L^2(\Omega,\mathbb{R}^d)$
provided that $\operatorname{div}{u} \in H^{-1}(\Omega)$.

For the (relatively open) parts $\Gamma_1$, $\Gamma_2$, $\Gamma_3$ 
(defined in Section 2) of the boundary of our half-disc $ M$ we will 
define $\gamma_{1D}(u)$, $\gamma_{3N}(u)$, etc. as restrictions of
 $\gamma_D(u)$, $\gamma_N(u)$ to the respective parts of the boundary 
$\Gamma_1$, $\Gamma_3$. We will also use $\gamma_{23N}$, etc.
 for the restriction to $\Gamma_2 \cup \{[0,0]\}\cup \Gamma_3$, etc. 
Since for $u\in H^{1}( M)$ with $\Delta u=0$ we have 
$\gamma_{iD}(u)\in H^{1/2}(\Gamma_i)$ and $\gamma_{iN}(u)\not\in H^{-1/2}(\Gamma_i)$ 
(in general, see e.g. Proposition 1.4.2.3 in Grisvard \cite{Gri11}), 
the duality $\skal{\gamma_{iN}(u)}{\gamma_{iD}(v)}$ has no sense unless we know 
that one of the distributions is in a better space as shown in the following lemma.


\begin{lemma}
Let $\phi\in H^{1/2}(\mathbb{R})$, $\tau\in H^{-1/2}(\mathbb{R})$ and supports of $\phi$ and 
$\tau$ consist of a finite number of bounded intervals. Assume that on the 
intersection $I$ of their supports' interiors it holds that $\phi\in L^2(I,\mu)$
 and $\tau\in L^2(I,1/\mu)$, where $\mu(x)\le d(x,\partial (\operatorname{supp} \phi))^{-1}$.
Then
$$
\langle \phi,\tau\rangle = \int_I \tau\phi.
$$
\end{lemma}

\begin{proof}
Let us first prove the assertion for $\phi$ bounded.
Let $A$ be the union of the boundaries of $\operatorname{supp} \phi$ and $\operatorname{supp} \tau$ 
(finite set), then $\mathbb{R}\setminus A$ is a union of intervals $I_1$, \dots $I_n$. 
Then we take $\varepsilon>0$ arbitrary and $\tilde \phi$ according Lemma \ref{cutoff-lemma}, 
so that $\|\tilde \phi\|_{H^{1/2}}<\varepsilon$ and 
$\operatorname{supp} (\phi-\tilde \phi) \cap A = \emptyset$. Then $\psi:=\phi-\tilde\phi$ is 
a sum of functions $\psi_k$ with compact supports in the intervals $I_k$.
 Clearly, only intervals where both $\tau$ and $\psi$ are nonzero are interesting. 
So,
$$
\langle \psi,\tau\rangle = \sum_{I_k\subset I} \langle \psi_k,\tau\rangle
 = \sum_{I_k\subset I} \langle \psi_k|_{I_k},\tau|_{I_k}\rangle.
$$
In fact, for each $k$ we have $\tau|_{I_k}\in (\tilde H^{1/2}(I_k))'$ and 
$\psi_k|_{I_k}\in \tilde H^{1/2}(I_k)$, so the last equality holds. 
Moreover, since both dualities $\tilde H^{1/2} - (\tilde H^{1/2})'$ and 
$ L^2(I,\mu) - L^2(I,1/\mu)$ extend the scalar product in $L^2$, they are 
equal for such pairs $\tau|_{I_k}$, $\psi_k|_{I_k}$ that both of them have sense. 
Therefore
$$
\langle \psi_k|_{I_k},\tau|_{I_k}\rangle = \int_{I_k} \tau\psi_k.
$$
Then we have
$$
\big|\langle \phi,\tau\rangle - \int_I \tau\phi\big| 
\le \varepsilon \|\tau\|_{H^{-1/2}} + \big|\langle \psi,\tau\rangle - \int_I \tau\psi\big|
 + \|\tau\|_{L^{2}(I,1/\mu)} \|\tilde \phi\|_{L^2(I,\mu)}.
$$
On a neighborhood of $a\in \partial(\operatorname{supp} \phi)$, the function $\phi$ is
 extendable by zero, so
$$
\int \frac{\phi(x)^2}{|x-a|}<+\infty.
$$
Therefore, replacing $\phi$ with $\tilde\phi$ the integral can be made smaller 
than $\varepsilon$ by Lemma \ref{cutoff-lemma}.
On a neighborhood of $a\in A\setminus\partial(\operatorname{supp}\phi)$, $L^{2}(I,\mu)$-norm
 is equivalent to $L^2$-norm, which is smaller than $H^{1/2}$ norm and therefore 
less than $\varepsilon$. So, $\|\tilde \phi\|_{L^2(I,\mu)}$ is smaller than $\varepsilon$. 
Together, we have
$$
\big|\langle \phi,\tau\rangle - \int_I \tau\phi\big| 
\le \varepsilon (\|\tau\|_{H^{-1/2}} +  \|\tau\|_{L^{2}(I,1/\mu)}).
$$
Since $\varepsilon>0$ was arbitrary, the assertion is proved for any bounded $\phi$.

For a general $\phi\in H^{1/2}(\mathbb{R})$ we consider
\begin{equation} \label{cutL}
\phi_L(x) =
	\begin{cases}
		L, &\phi(x) > L \\
		\phi(x), &\phi(x) \in [-L,L] \\
		-L,  &\phi(x) < -L
\end{cases}
\end{equation}
It is easy to see that $\norm{f_L}{H^{1/2}}{} \le
\norm{f}{H^{1/2}}{}$ (since the norm is given by \eqref{HsG}) 
and by the Lebesgue theorem $f_L \to f$ in $H^{1/2}$ and also in
 $L^2_{x/dx}$ for $L\to \infty$. Then for every $\varepsilon>0$ we can find
 $L>0$ such that
$$
\big|\langle \phi,\tau\rangle - \int_I \tau\phi\big| \le
\big|\langle \phi,\tau\rangle - \langle \phi_L,\tau\rangle\big| +
\big|\langle \phi_L,\tau\rangle - \int_I \tau\phi_L\big| +
\big|\int_I \tau\phi_L - \int_I \tau\phi\big|< 2\varepsilon\,.
$$
The proof is complete.
\end{proof}

Clearly, this lemma can be reformulated for $\partial \Omega$ instead of $\mathbb{R}$ 
and we have the following corollary (\eqref{green2} follows from \eqref{green} 
and \eqref{equiv-ss}).


\begin{corollary} \label{lem-A}
Let $\tau \in H^{-1/2}(\partial  M)$, let $\varphi \in H^{1/2}(\partial M)$.
Let $\tau = 0 $ on $\Gamma_2$, $\varphi = 0 $ on
$\Gamma_1$. Let there exist $g(x) \in L^2_{xdx}(0,1)$,
$f(x) \in L^2_{dx/x}(0,1)$ such that $\tau = g$, $\varphi = f$
in $(0,1)$. Then
\begin{equation}		\label{equiv-ss}
\skal{\tau}{\varphi}_{H^{-1/2},H^{1/2}} = \int_0^1 g(x)f(x)dx.
\end{equation}
Moreover, if $\tau=\gamma_N(T)$ and $\varphi=\gamma_D(T)$ for some 
$T\in H^1( M)$, $\Delta T=0$ in $ M$, then
\begin{equation}	\label{green2}
\int_{ M} |\nabla T|^2 = - \int_0^1 g(x)f(x)dx.
\end{equation}
\end{corollary}

\subsection{Green operator for half-space and half-circle}

For the sake of the following lemma, let us define
\begin{gather*}
\norm{\psi}{W}{}:= \int_\mathbb{R} |\xi|^{-1} |\hat{\psi}(\xi)|^2\, d\xi
\quad\text{for}\quad
\psi\in W_0:=\big\{\psi\in\mathcal{D}(\mathbb{R}):\int_{\mathbb{R}}\psi=0\big\}\,,
\\
W(\mathbb{R}) = \overline{W_0}^{\ \|\cdot\|_W}.
\end{gather*}
Note that the compact support of $\psi$ implies that $\hat\psi$ is smooth 
and $\hat\psi(0)=\int \psi = 0$ then yields $\|\psi\|_W<+\infty$.
Note further that $W(\mathbb{R})$ with the corresponding norm is a closed subspace
of $H^{-1/2}(\mathbb{R})$.

\begin{lemma} \label{lem-a4}
The integral
\begin{equation}	\label{green-halfplane}
u(x,y) = \frac{1}{2\pi} \int_{\mathbb{R}} \ln\big( (x-\xi)^2 + y^2 \big)
\psi(\xi) \, d\xi
\quad (x,y) \in  P_{+}
\end{equation}
can be uniquely extended to $W(\mathbb{R})$ and
\begin{align} \label{a4-1}
\norm{\nabla u}{L^2( P_{+})}{2} &\le	c \norm{\psi}{W(\mathbb{R})}{2}	
\end{align}
holds with $c>0$ independent of $\psi$.
\end{lemma}

\begin{proof}
Assume first that $\psi\in W_0$. By direct computation one has
\begin{equation} \label{gradu}
\nabla u(x,y)= \frac{1}{\pi} \int_{\mathbb{R}} \frac{(x-\xi,y)}{(x-\xi)^2+y^2}
\psi(\xi)\ d\xi = K_y * \psi(x),
\end{equation}
where
\begin{equation}
K_y(x)=\frac{1}{\pi}\frac{(x,y)}{x^2+y^2}.
\end{equation}
One further computes that
\begin{equation}
\mathcal{F}[K_y(x)](\xi) = e^{-2\pi y |\xi|}(-i \operatorname{sgn}(\xi),1)
\end{equation}
By Plancherel's an Fubini's Theorem we eventually obtain
\begin{equation}
\begin{aligned}
\norm{\nabla u}{L^2( P_{+})}{2}
&= \int_{ P_{+}} |\hat K_y(\xi)|^2 |\hat{\psi}(\xi)|^2 \, d\xi dy\\
&\le \int_{ P_{+}} \sqrt 2 e^{-2\pi y |\xi|} |\hat{\psi}(\xi)|^2 \, d\xi dy
= \frac{1}{2\pi} \int_{\mathbb{R}} \frac{1}{|\xi|} |\hat{\psi}(\xi)|^2 \, d\xi
\end{aligned}
\end{equation}
This proves \eqref{a4-1} for smooth functions.
A general $\psi \in W$ is approximated by a sequence $\psi_n \in W_0$.
\end{proof}

\begin{lemma} \label{lem-a5}
The integral \eqref{bc5} can be uniquely extended to any $\tau\in H^{-1/2}(0,1)$, such that
\begin{gather}	\label{a5-1}
\norm{T}{H^1}{} \le c \norm{\tau}{H^{-1/2}(\mathbb{R})}{}\,,
\\
\gamma_{1D}(T) = 0\,, \label{a5-2}
\\
\gamma_{2N}(T) = 0\,, \label{a5-3}
\\
\gamma_{3N}(T) = \tau \,,\label{a5-4}
\\
\gamma_{3D}(T) = \mathcal{K}_1(\tau) - \mathcal{K}_2(\tau)\,. \label{a5-5}
\end{gather}
\end{lemma}

\begin{proof}
Take any $\tau\in \mathcal{D}(0,1)$. Then \eqref{a5-2}--\eqref{a5-5} hold due
to computations in Section 3. Let us consider the following sequence of
mappings $\tau \mapsto \psi \mapsto \tilde\psi \mapsto u \mapsto T$. Here
$\psi$ is given by \eqref{bc4}, $\tilde \psi$ is the extension of $\psi$
by zero for $x>1$ and then the odd extension to $x<0$. Function $u$ is
given by \eqref{green-halfplane} and $T$ by \eqref{bc1} and restriction
to $ M$. The first mapping is bounded from  $H^{-1/2}(0,1)$ to
$H^{-1/2}(0,1)$ by Lemma \ref{composition-lemma}, the extension is
bounded from $H^{-1/2}(0,1)$ to $W(\mathbb{R})$ by remark before
Lemma~\ref{lem-a4}, $\tilde \psi \to \nabla u$ is bounded by 
Lemma \ref{lem-a4} and the last mapping is conformal, so it preserves 
the $L^2$-norm of the gradient. Therefore, we have
 $\norm{\nabla T}{L^2}{}\le c\norm{\tau}{H^{-1/2}(0,1)}{}$ and due 
to Poincar\'e inequality and \eqref{a5-2} we obtain \eqref{a5-1}.

Since $\mathcal{D}(0,1)$ is dense in $H^{-1/2}(0,1)$ (Lemma \ref{density-lemma}), 
the assertion follows.
\end{proof}

\subsection{Integral operator estimates}

In this section we show boundedness and positive definiteness of $\mathcal{K}_1$ 
and boundedness and compactness of $\mathcal{K}_2$.

\begin{lemma} \label{lem-a7}
Let $\mathcal{K}_1$, $\mathcal{K}_2$ be integral operators defined in \eqref{defK1},
\eqref{defK2}.
\begin{enumerate}
\item
Operator $\mathcal{K}_1$ is continuous from $H^{-1/2}(0,1)$ to $H^{1/2}(0,1)$.
Moreover,
\begin{equation} \label{K1-koerc}
\skal{\mathcal{K}_1\tau}{\tau}_{(0,1)} \ge c
\norm{\tau}{H^{-1/2}(0,1)}{2}
\end{equation}
on this space.
\item
Operator $\mathcal{K}_2$ is continuous from $H^{-1/2}(0,1)$ to $H^{1/2}(\mathbb{R})$.
\item
Operator $\mathcal{K}_2$ is compact from $L^2_{xdx}(0,1)$ into $L^2_{dx/x}(0,1)$.
\end{enumerate}
\end{lemma}

\begin{proof}
1. Assume first that $\tau\in \mathcal{D}(0,1)$ extended by zero to $\mathbb{R}$. The key
observation is that
\begin{equation}
\mathcal{K}_1\tau = \frac1{\pi} R \big( g* \tau \big)
\end{equation}
where $R$ is the restriction from to $(0,1)$ and
$g(x) = -\ln|x| \pmb{1}_{[-1,1]}(x)$.
One computes that
\begin{equation}		\label{g-hat}
- \hat g(\xi)
= 2 \int_0^1 \ln|x| \cos(2\pi\xi x) \,dx
= -2 \int_0^1 \frac{ \sin(2\pi\xi x) }{ 2\pi \xi x } \,dx
= - \frac{1}{\pi \xi} \int_0^{2\pi \xi} \frac{\sin{y}}{y} \, dy
\end{equation}
from which we easily obtain
\begin{equation}		\label{hat-g-est}
\frac{c_1}{1+|\xi|} \le |\hat{g}(\xi)| \le
\frac{c_2}{1+|\xi|}
\end{equation}
Hence
\begin{equation}
\begin{aligned}
\norm{\mathcal{K}_1\tau}{H^{1/2}(0,1)}{2}
&\le
\norm{g*\tau}{H^{1/2}(\mathbb{R})}{2}
=
\int_{\mathbb{R}} (1+|\xi|) |\hat{g}(\xi)|^2 |\hat{\tau}(\xi)|^2 \,d\xi \\
&\le
c \norm{\tau}{H^{-1/2}(\mathbb{R})}{2}
\le
c \norm{\tau}{H^{-1/2}(0,1)}{2}
\end{aligned}
\end{equation}
where the last estimate follows from the fact that $\operatorname{supp} \tau\subset [0,1]$ 
and Lemma \ref{isom-lemma}.

We show the estimate \eqref{K1-koerc}. We can see from \eqref{g-hat} that 
$\hat g$ is positive, so \eqref{hat-g-est} holds without the modulus. 
Then we can estimate for $\tau\in \mathcal{D}(0,1)$
\begin{align*}
\skal{\mathcal{K}_1\tau}{\tau}_{(0,1)} 
&= \int_{\mathbb{R}} (g*\tau)(x) \tau(x)dx 
= \int_{\mathbb{R}} \hat g(\xi) |\tau(\xi)|^2 d\xi\\
&\ge \int_{\mathbb{R}} \frac{c_1}{1+|\xi|} |\tau(\xi)|^2 d\xi 
= c_1\|\tau\|_{H^{-1/2}(\mathbb{R})}
\end{align*}
which is equivalent to the norm in $H^{-1/2}(0,1)$ by Lemma \ref{isom-lemma}.

For a general $\tau$, the conclusion (in fact, the very
definition of $\mathcal{K}_1\tau$) is obtained by a standard limiting
argument, in view of Lemma~\ref{density-lemma}.

2. Assuming that $\tau \in \mathcal{D}(0,1)$, we use the Taylor
expansion
\begin{equation}
\ln{|1 - \xi x|} = -\ln(1 - \xi x)
= \sum_{k=1}^{\infty} \frac{1}{k} \xi^k x^k
\end{equation}
to write
\begin{equation}
\mathcal{K}_2 \tau(x) = \sum_{k=1}^{\infty} \frac{1}{k}
		\skal{\xi^k}{\tau(\xi)} x^k
\end{equation}
Using the simple estimate
\begin{equation}
\norm{x^k}{H^{1/2}(0,1)}{} \le \norm{x^k}{H^1(0,1)}{}
\le c \Big( \int_0^1 x^{2k} + k x^{2(k-1)} \, dx \Big)^{1/2}
\le c \, k^{-1/2}
\end{equation}
we conclude
\begin{equation}
\norm{\mathcal{K}_2 \tau(x)}{H^{1/2}(0,1)}{}
\le \sum_{k=1}^{\infty} \frac1k |\skal{\xi^k}{\tau(\xi)} x^k|
	\norm{x^k}{H^{1/2}(0,1)}{}
\le c \Big( \sum_{k=1}^{\infty} \frac{1}{k^2} \Big)
	\norm{\tau(\xi)}{H^{-1/2}}{}
\end{equation}
3. We estimate
\begin{equation}
|\mathcal{K}_2\tau(x)| \le \int_0^1 \tau(\xi) \xi^{1/2}
			\xi^{-1/2} | \ln(1-\xi x) | d\xi
		\le d(x) \norm{\tau}{L^2_{xdx}}{}
\end{equation}
where
\begin{equation*}
	d^2(x) = \int_0^1 |\ln^2(1-\xi x)| \frac{d\xi}{\xi}
\end{equation*}
Since $|\ln(1-\xi x)| \le |\ln(1-\xi)|$ for $x\in(0,1)$, the
function $d(x)$ is bounded. Moreover, if $x\in(0,1/2)$, then
$|\ln(1-\xi x)| \le c \xi x$, hence we have $d(x) \le \hat{c}x$.
It follows that
\begin{equation}
\norm{\mathcal{K}_2\tau}{L^2(0,1)}{}
  + \norm{\mathcal{K}_2\tau}{L^2_{dx/x^{2-\epsilon}}}{}
\le K \norm{\tau}{L^2_{xdx}(0,1)}{}
\end{equation}
In particular, it is enough to show that $\mathcal{K}_2$ is
compact into $L^2(0,1)$. To this end we observe that
\begin{equation}
\frac{d}{dx} \mathcal{K}_2 \tau(x)
= \frac1{\pi} \int_0^1 \tau(\xi) \frac{\xi}{1-\xi x} d\xi
\end{equation}
hence
\begin{equation}
\big| \frac{d}{dx} \mathcal{K}_2 \tau(x) \big|
\le e(x) \norm{\tau}{L^2_{xdx}(0,1)}{}
\end{equation}
where
\begin{equation}
\begin{aligned}
e^2(x) &= \int_0^1 \frac{\xi}{(1-\xi x)^2} d\xi
= \frac{d}{dx} \int_0^1 \frac{d\xi}{1-\xi x}
= \frac{d}{dx} \frac{\ln(1-x)}{-x}
	\\
&= \frac1{x^2}\Big( \ln(1-x) + \frac{x}{1-x} \Big)
\end{aligned}
\end{equation}
Thus $e(x)$ is bounded for $x\to0+$, and behaves like $(1-x)^{-1/2}$
for $x\to1-$; hence (say) $e(x) \in L^1(0,1)$. Thus $\mathcal{K}_2$
is continuous from $L^2_{xdx}(0,1)$ into
$W^{1,1}(0,1) \hookrightarrow\hookrightarrow L^2(0,1)$ and we are done.
\end{proof}

\subsection{Further properties of $H^{1/2}(\mathbb{R})$}

\begin{lemma} 	\label{def_theta}
For a given $y$ and
$\varepsilon>0$, there exists $\theta \in H^{1/2}(\mathbb{R})$ with
support in $(-\varepsilon,\varepsilon)$ such that
$\norm{\theta}{H^{1/2}(\mathbb{R})}{} < \varepsilon$. Moreover, there
exists $\tilde\varepsilon\in(0,\varepsilon)$ such that $\theta = y$ on
$[-\tilde\varepsilon, \tilde\varepsilon]$.
\end{lemma}

\begin{proof}
We verify first by a direct computation that the
function
\begin{equation} \label{c1}
\theta_n(x) =
\begin{cases}
1-|x|^{1/n},  &|x|\le 1\\
0,  &|x|>1
\end{cases}
\end{equation}
has an arbitrarily small $H^{1/2}$-norm for $n$ large.
Obviously, $\norm{\theta_n}{L^2}{} \to 0$ as $n\to\infty$.
It remains to estimate the $H^{1/2}$-seminorm
\begin{equation} \label{c2}
\norm{f}{\tilde{H}^{1/2}(\mathbb{R})}{2}
=\int_{\mathbb{R}\times\mathbb{R}} \frac{|f(x)-f(y)|^2}{|x-y|^2}\,dx\,dy
=c_{1/2} \int_{\mathbb{R}} |\xi| |\hat{f}(\xi)|^2\,d\xi\,.
\end{equation}
We have
\begin{equation} \label{c3}
\hat{\theta}_n(\xi)
=2 \int_0^{1} \big(1-x^{1/n} \big) \cos(2\pi\xi x)\,dx
=\frac{1}{\pi \xi n} \underbrace{\int_0^1 x^{1/n -1}
\sin(2\pi\xi x)\,dx}_{=:I_n(\xi)}
\end{equation}
Here, on the one hand, by means of a simple estimate $|\sin{y}|
\le |y|$, we have $|I_n(\xi)| \le 2\pi |\xi|$, hence
$|\hat{\theta}_n(\xi)| \le c_1 / n$ for any $\xi$.

On the other hand, we can express
\begin{equation} \label{c4}
I_n(\xi) = \big( 2\pi \xi \big)^{1/n} \underbrace{\int_0^{2\pi \xi}
\frac{\sin(y)}{y^{1-1/n}}\,dy}_{=:h_n(\xi)}\,.
\end{equation}
One observes that
\begin{equation} \label{c5}
0 \le h_n(\xi) \le h_{\infty}(1/2\pi) < \infty\,.
\end{equation}
Hence $|\hat{\theta}_n(\xi)| \le c_2 |\xi|^{-1/n-1} / n $.
It follows that
\begin{align*} 
\int_{\mathbb{R}} |\xi| |\hat{\theta}_n(\xi)|^2 \,d\xi
&= 2 \int_0^1 |\xi| |\hat{\theta}_n(\xi)|^2 \,d\xi 
 + 2 \int_{1}^{\infty} |\xi| |\hat{\theta}_n(\xi)|^2 \,d\xi \\
&\le \frac{2c_1^2}{n^2} + \frac{2c_2^2}{n^2}
\underbrace{\int_{1}^{\infty} |\xi|^{-2/n -1} \,d\xi}_{=n/2}
\end{align*}
Observing further that the scaling $\theta_n(x/\varepsilon)$
does not increase the $L^2$-norm (if $\varepsilon < 1$), while
leaving the $H^{1/2}$-seminorm
\eqref{c2} unaltered, it is clear that
\begin{equation} \label{c7}
\theta(x) = 2y \min\{ 1/2 , \theta_n(x/\varepsilon) \}
\end{equation}
for sufficiently large $n$, is the sought-for function.
\end{proof}

Let us remark that it is not difficult to observe (see formula \eqref{HsG}) 
that the $H^{1/2}$-norm of $f_{+}$, $f_{-}$ and $|f|$ is estimated by the
corresponding norm of $f$.

\begin{lemma} \label{cutoff-lemma}
Let $\phi \in H^{1/2}(\mathbb{R})$ be bounded.
Let $\varepsilon > 0$ be given. Then there
exists $\tilde{\phi} \in H^{1/2}(\mathbb{R})$ such that $\norm{\tilde
\phi}{H^{1/2}}{} < \varepsilon$, $\operatorname{supp} \tilde \phi \subset
(-\varepsilon, \varepsilon)$, and there exists $\tilde
\varepsilon \in (0, \varepsilon)$ such that $\phi = \tilde \phi$
on $(-\tilde\varepsilon, \tilde\varepsilon)$.

Moreover, if $\phi = 0$ on some left neighborhood of $0$, then
so does $\tilde\phi$ and
\begin{equation}  \label{extf}
\int_0^{\varepsilon} \frac{ |\tilde \phi(x)|^2 }{x}\,dx <
2\varepsilon\,.
\end{equation}
\end{lemma}

\begin{proof}
In view of the above remarks, we can write $\phi =
\phi_{+} - \phi_{-}$ and assume henceforth that $0 \le  \phi \le
L$. Then the function
\begin{equation} \label{cutf}
\tilde\phi = \min \{ \phi, \theta \},
\end{equation}
where $\theta$ comes from lemma \ref{def_theta} with some $y>L$, has
the desired properties. In fact, the smallness of its norm follows from
the fact that
\begin{equation} \label{limm}
\min \{ \phi, \theta \} = \frac12 (\phi + \theta) -
	\frac12 |\phi - \theta| \to
\frac12( \phi - |\phi| ) = 0
\end{equation}
as $\theta \to 0$ in $H^{1/2}$ and the other properties are obvious.

The second part follows immediately from the definition \eqref{cutf} 
and the estimate
\begin{equation} \label{estf}
\begin{aligned}
\varepsilon &> \int_{y\in(-\varepsilon,0)}
\int_{x\in(0,\varepsilon)} \frac{|\tilde\phi(x) -
\tilde\phi(y)|^2}{|x-y|^2} \,dx\,dy\\
&=
\int_0^\varepsilon \frac{ \varepsilon |\tilde\phi(x)|^2 }
{(x+\varepsilon)x} \,dx
\ge
\frac12 \int_0^{\varepsilon} \frac{ |\tilde \phi(x)|^2 }{x}\,dx.
\end{aligned}
\end{equation}
\end{proof}

\subsection*{Acknowledgments}
T. B\'arta is a member of the Ne\v{c}as
Center for Mathematical Modeling.

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\end{document}

