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\AtBeginDocument{{\noindent\small
2006  International Conference in Honor of Jacqueline Fleckinger.
\newline {\em Electronic Journal of Differential Equations},
Conference 16, 2007, pp. 81--93.
\newline
ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or
http://ejde.math.unt.edu
\newline ftp ejde.math.txstate.edu  (login: ftp)}
\thanks{\copyright 2007 Texas State University - San Marcos.}
\vspace{9mm}}


\begin{document} \setcounter{page}{81}

\title[\hfilneg EJDE/Conf/16 \hfil
       Infinite-dimensional nonlinear elliptic problems]
{Some remarks on infinite-dimensional nonlinear elliptic problems}

\author[Ph. Cl\'ement, M. Garc\'{\i}a-Huidobro, and R. Man\'asevich
\hfil EJDE/Conf/16 \hfilneg]
{Philippe Cl\'ement, Marta Garc\'{\i}a-Huidobro,
 Ra\'ul F. Man\'asevich}  % in alphabetical order

\address{Philippe Cl\'ement \newline
Mathematical Institute,
Leiden University,
P.O. Box 9512, NL-2300, RA Leiden, and
EEMCS/ DIAM, TU Delft,
P.O. Box 5031, NL-2600, GA Delft, The Netherlands}
\email{clement@math.leidenuniv.nl}

\address{Marta Garc\'{\i}a-Huidobro \newline
Departamento de Matem\'aticas,
Pontificia Universidad Cat\'olica de Chile,
Casilla 306, Correo 22, Santiago, Chile}
\email{mgarcia@mat.puc.cl}

\address{Ra\'ul F. Man\'asevich \newline
Departamento de Ingenier\'{\i}a Matem\'atica and
Centro de Modelamiento Matem\'atico,
Universidad de Chile,
Casilla 170, Correo 3, Santiago, Chile}
\email{manasevi@dim.uchile.cl}

\dedicatory{Dedicated to Jacqueline Fleckinger  on the occasion of\\
    an international conference in her honor}

\thanks{Published May 15, 2007.}
\subjclass[2000]{35J65, 35J25}
\keywords{Hilbert space; Ornstein-Uhlenbeck operator; \hfill\break\indent
          nonlinear elliptic problems}
\thanks{Ph. Cl\'ement was supported by grant 7150117 from FONDECYT;
 M. Garc\'{\i}a-H. by \hfill\break\indent 
 grant 1030593 from FONDECYT;
 R. Man\'asevich by grant P04-066-F from Fondap \hfill\break\indent
 Matem\'aticas Aplicadas and Milenio.}

\begin{abstract}
 We discuss some nonlinear problems associated with an infinite
 dimensional operator $L$ defined on a real separable Hilbert space
 $H$. As the operator $L$ we choose the
 Ornstein-Uhlenbeck operator induced by a centered Gaussian
 measure $\mu$ with covariance operator $Q$.
\end{abstract}

\maketitle
\numberwithin{equation}{section}
\newtheorem{theorem}{Theorem}[section]
\newtheorem{remark}[theorem]{Remark}
\newtheorem{proposition}[theorem]{Proposition}

\section{Introduction}

The goal of this note is to present some results for nonlinear problems
associated with an infinite dimensional operator $L$ defined on a
real separable Hilbert space $H$. As the operator $L$ we choose the
Ornstein-Uhlenbeck operator induced by a centered Gaussian
measure $\mu$ with covariance operator $Q$ (see \cite{daP}).

In the first part we consider existence and uniqueness of solutions
for a problem of the form
\begin{equation}\label{11}
-Lu+\beta(u)=f,
\end{equation}
where $\beta$ satisfies
\begin{itemize}
\item[(H1)] %H\beta
 $\beta$  is a strictly increasing homeomorphism of
$\mathbb{R}$ onto $\mathbb{R}$, $\beta(0)=0$,
\end{itemize}
and $f\in  L^2(H,\mu)$ is given. As a consequence of the existence part we can
show that the operator
$L(\beta^{-1})$, with an appropriate domain, has an $m$-dissipative
closure in $L^1(H,\mu)$. Thus, in view of the
Crandall-Liggett Theorem, see \cite{CrL} (and also \cite{Cr2}),
it generates a nonlinear contraction semigroup on the closure
of its domain in $ L^1(H,\mu)$.

In the second part we make the additional assumption that $\beta$
is odd and we consider
the nonlinear eigenvalue problem
\begin{equation}\label{12}
-Lu+\beta(u)=\lambda u,\quad \lambda\ge 0,
\end{equation}
where $u\in L^2(H,\mu)$, $\|u\|_{ L^2(H,\mu)}=R$, with $R>0$ given.

By using results in \cite{Cl1} and \cite{K}, we obtain the existence
of an infinite sequence
$\{(\lambda_n,u_n)\}_{n\in\mathbb{N}}$ of solutions to \eqref{12} with
$\lambda_n\to\infty$ as $n\to\infty$.
This implies the existence of infinitely many solution pairs
$(\lambda,u)$ with non constant $u$.
Moreover, we discuss the existence of solutions with nonnegative
and non constant $u$.


\section{Preliminaries}

In this section we establish the notation that we will use
throughout this work. Most of it is taken from \cite{daP} and we
refer the reader to this book. $H$ will denote a finite or
infinite dimensional real separable Hilbert space with inner
product $\langle\cdot,\cdot\rangle$ and norm $|\cdot|$. Throughout the
paper $\mu=N_Q$ will denote the centered Gaussian measure on $H$
with covariance $Q$, (see \cite[page 12]{daP}), where $Q$ denotes
a positive symmetric operator of trace class in $H$ with
$Ker(Q)=\{0\}$. Also, $\{e_k\}_{k\in\mathbb{N}}$ will denote a complete
orthonormal system of eigenvectors of $Q$ with corresponding
eigenvalues $\{\gamma_k\}_{k\in\mathbb{N}}$ satisfying
\begin{equation}\label{eigen}
0<\gamma_{k+1}\le\gamma_k.
\end{equation}
We recall here that the
Ornstein-Uhlenbeck semigroup \lq\lq associated with $\mu$\rq\rq\
is given by
$$
R_t\varphi(x)=\int_H\varphi(e^{tA}x+y)N_{Q_t}(dy),
\quad x\in H,\; t>0,
$$
and $\varphi\in B_b(H)$ (Borel bounded functions on $H$).
Here $A=-\frac{1}{2}Q^{-1}$ and
$$
Q_tx=\int_0^te^{2sA}xds=Q(I-e^{2tA})x,\quad x\in H,\; t>0.
$$
As a consequence of \cite[Proposition 10.22]{daP}, $R_t$ can be uniquely
 extended to a strongly continuous contraction
semigroup in $ L^2(H,\mu)$, which we still denote by $R_t$, and $\mu$ is
the unique invariant measure of $R_t$ and
for $x\in H$,
$$
\lim_{t\to\infty}R_t\varphi(x)=\int_H\varphi(y)d\mu(y)=\overline{\varphi}.
$$
Moreover, from \cite[Th5.8]{daP}, $R_t$ can be uniquely extended to a
strongly continuous positive contraction
semigroup in $ L^p(H,\mu)$ for all $1\le p<\infty$.

We shall denote by $L_p$ the infinitesimal generator of $R_t$ in $ L^p(H,\mu)$.
In particular, $L_1$ is $m$-dissipative in
$ L^1(H,\mu)$ hence it satisfies
\begin{equation}\label{21}
\int_H(L_1u)(x)\mathop{\rm sgn}(u(x))d\mu\le 0,\quad
\mbox{for every }u\in D(L_1),
\end{equation}
see e.g. \cite[Lemma 2]{BS}, where we have used the notation
$$
\mathop{\rm sgn}(t)=\begin{cases}1& t>0,\\
0 & t=0,\\
-1 &t<0.\end{cases}
$$
Moreover, $-L_2$ is a nonnegative self adjoint operator in $ L^2(H,\mu)$
with domain
\begin{equation}\label{domL2}
D(L_2)=\{u\in W^{2,2}(H,\mu):\int_H|(-A)^{1/2}D u|^2d\mu<\infty\},
\end{equation}
see \cite[Propositions 10.22 and 10.34]{daP} and
\begin{equation}\label{defL2}
L_2\varphi(x)=\frac{1}{2}\mbox{Tr}[D^2\varphi](x)+\langle x,AD\varphi(x)\rangle,
\end{equation}
where $\varphi\in\mathcal{E}_A(H)$, which is defined to be the linear span in $C_b(H)$
(continuous bounded functions in $H$)
of real and imaginary parts of $\varphi_h$, where
$\varphi_h(x)=e^{i\langle h,x\rangle}$, $h\in D(A)$, and $D$, $D^2$
are the differential operators introduced
in \cite[Proposition 10.3 and 10.32]{daP}. We also introduce $\mathcal{E}(H)$ as
the linear span in $C_b(H)$
of real and imaginary parts of $\varphi_h$, where
$\varphi_h(x)=e^{i\langle h,x\rangle}$, and now $h\in H$. Finally we note
also that the null space $N(L_p)=\{{\rm const.}\}$, $1\le p<\infty$.

We also consider the Dirichlet form $a: W^{1,2}(H,\mu)\times W^{1,2}(H,\mu)\to\mathbb{R}$
defined by
$$
a(\varphi,\psi)=\frac{1}{2}\int_H\langle D\varphi,D\psi\rangle d\mu.$$
The linear space $ W^{1,2}(H,\mu)$ endowed with the inner product
$$
\langle \varphi,\psi\rangle_{ W^{1,2}(H,\mu)}=\langle\varphi,\psi\rangle_{ L^2(H,\mu)}+2a(\varphi,\psi)
$$
is a real separable Hilbert space with
\begin{equation}\label{compactimbe}
 W^{1,2}(H,\mu)\hookrightarrow  L^2(H,\mu)\quad\mbox{compact},
\end{equation}
see \cite[Theorem 10.16]{daP}.
Finally, we recall that
\begin{equation}\label{intbyparts}
a(\varphi,\psi)=-\int_H\langle L_2\varphi,\psi\rangle d\mu
\end{equation}
for all $\varphi\in D(L_2),$ and all $\psi\in W^{1,2}(H,\mu)$, see \cite[Section 10.4]{daP}.

\begin{remark}\label{remph} \rm
We want to note that in this work the operator $L_2$ is defined as the
generator of the semigroup $R_t$ in $ L^2(H,\mu)$,
while in \cite{daP} the operator $L_2$ is defined on page 151 via the
Lax-Milgram Theorem. In view of \cite[Proposition 10.22 (iv)]{daP},
they are the same.
\end{remark}


\section{An infinite dimensional porous media type operator}

The aim of this section is to construct an infinite dimensional nonlinear
second order elliptic operator which is of
porous media type $\Delta(\beta^{-1})$, following the approach of \cite{Cr1}

Let $\beta$ satisfy (H1) and consider problem \eqref{11}.

\begin{proposition}\label{prop31}

(a) For every $f\in  L^2(H,\mu)$ there exists a unique $u\in D(L_2)$ such
that $\beta(u)\in  L^2(H,\mu)$ and
$u$ satisfies \eqref{11} with $L=L_2$.

\noindent(b) If
\begin{itemize}
\item[(H2)] %H_\gamma
$\beta(u)=\varepsilon u+\gamma(u)$ for some $\varepsilon>0$ and some
continuous monotone increasing function
$\gamma:\mathbb{R}\to\mathbb{R}$, $\gamma(0)=0$,
\end{itemize}
then for any $f\in L^1(H,\mu)$ there exists a unique $u\in D(L_1)$
with $\beta(u)\in  L^1(H,\mu)$ satisfying \eqref{11} with $L=L_1$.
\end{proposition}

\begin{proof}
We start by proving $(a)$. Set $A:=-L_2$, $Bu(x):=\beta(u(x))$, where
$$D(B)=\{u\in L^2(H,\mu):\beta(u)\in L^2(H,\mu)\}$$
and write \eqref{11} as
$$
Au+Bu=f,\quad f\in L^2(H,\mu).
$$
We claim that $A$ is maximal monotone and that it is the
subdifferential of the convex l.s.c functional
$J_a: L^2(H,\mu)\mapsto[0, \infty]$ defined by
\begin{equation}\label{defJa}
J_a(\varphi)=\begin{cases}
a(\varphi,\varphi),& \varphi\in W^{1,2}(H,\mu),\\
+\infty &\mbox{otherwise.}
\end{cases}
\end{equation}
Indeed, for $u\in D(L_2)$ and $h\in W^{1,2}(H,\mu)$, by \eqref{intbyparts},
we have  that
\begin{align*}
J_a(u+h)&=J_a(u)+\int_H\langle Du,Dh\rangle d\mu+J_a(h)\\
&\ge J_a(u)-\int_H\langle L_2u,h\rangle d\mu,
\end{align*}
which implies that $u\in D(\partial J_a)$ and $-L_2u\in \partial J_a(u)$.
Note that since $J_a$ is convex, it follows that $\partial J_a$ is
monotone, moreover, since $-L_2$ is nonnegative and selfadjoint in $ L^2(H,\mu)$,
it follows that it is maximal monotone.
Hence $-L_2=\partial J_a$ by the maximal monotonicity of $-L_2$.
Also, $B$ is the subdifferential of
$$
J_b(u)=\begin{cases}\int_Hb(u)d\mu,&\text{if } \int_Hb(u)d\mu<\infty\\
\infty&\text{otherwise},\end{cases}
$$
where
\begin{equation}\label{defb}
b(t):=\int_0^t\beta(s)ds.
\end{equation}
Therefore $A$ and $B$ satisfy all the assumptions in \cite[Example 1]{BH}
implying that
$$
\mathop{\rm Int}(R(A+B))=\mathop{\rm Int}(R(A)+R(B)).
$$
Since $R(B)= L^2(H,\mu)$, we conclude that $R(A+B)= L^2(H,\mu)$.
Finally, the uniqueness assertion follows from the strict monotonicity
of $\beta$.

Next we prove  $(b)$. In order to achieve this we write \eqref{11} as
\begin{equation}\label{11new}
(\varepsilon-L_1)u+\gamma(u)=f,\quad f\in L^1(H,\mu).
\end{equation}
Hence in view of Theorem 1 in \cite{BS} it is sufficient to see that
the operator $A:=\varepsilon-L_1$ satisfies
$(I)$, $(II)$, and $(III)$ in \cite{BS}. Since by definition $L_1$
generates a linear contraction $C_0$ semigroup
in $ L^1(H,\mu)$, so does $L_1-\varepsilon=-A$, which yields $(I)$.
Also, from the dissipativity of $L_1$ we have that
$$
\varepsilon\|u\|_{ L^1(H,\mu)}\le \|\varepsilon u-L_1\|_{ L^1(H,\mu)}=\|A\|_{ L^1(H,\mu)},
$$
implying that $(III)$ is also satisfied. Finally we prove $(II)$.
Let $\lambda>0$ and $f\in L^1(H,\mu)$.
 Since the semigroup generated by $L_1$ is positive, we have that
$$
(I+\lambda A)^{-1}f\le (I+\lambda A)^{-1}f^+
$$
and hence
\begin{equation}\label{fdes2}
\mathop{\rm ess\,sup}(I+\lambda A)^{-1}f\le \mathop{\rm ess\,sup}(I+\lambda A)^{-1}f^+.
\end{equation}
Since  $L_p$ generates a linear contraction $C_0$ semigroup
in $ L^p(H,\mu)$ for all $1\le p<\infty$, so does $L_p-\varepsilon$, hence
\begin{equation}\label{fdes}\|(I+\lambda A)^{-1}f^+\|_{ L^p(H,\mu)}\le \|f^+\|_{ L^p(H,\mu)},
\end{equation}
provided that $f^+\in L^p(H,\mu)$. Assuming $f^+\in L^\infty(H,\mu)$,
by letting $p\to\infty$ in \eqref{fdes} we obtain
\begin{align*}
\mathop{\rm ess\,sup}(I+\lambda A)^{-1}f^+
&=\|(I+\lambda A)^{-1}f^+\|_{L^\infty(H,\mu)}\\
&\le \|f^+\|_{L^\infty(H,\mu)}=
\mathop{\rm ess\,sup}f^+\\
&=\max\{0,\mathop{\rm ess\,sup}f\}.
\end{align*}
Therefore, using \eqref{fdes2} we conclude that
$$
\mathop{\rm ess\,sup}(I+\lambda A)^{-1}f\le\max\{0,\mathop{\rm ess\,sup}f\},
$$
which is exactly assumption $(II)$ in \cite{BS}.
\end{proof}

We are now in a position to define a \lq\lq porous media type\rq\rq\ operator,
which we denote by
$L_\phi$, where $\phi=\beta^{-1}$ in $ L^1(H,\mu)$:
$$
D(L_\Phi):=\{u\in  L^1(H,\mu):\phi(u)\in D(L_1)\},
$$
and for $u\in D(L_\Phi)$ we set
$$
L_\phi u:=L_1(\phi(u)).
$$
We have the following result.

\begin{theorem} \label{th31}
\begin{itemize}
\item[(i)] The closure of $L_\phi$ is a nonlinear (possibly multivalued)
$m$-dissipative operator in $ L^1(H,\mu)$.

\item[(ii)]If $\beta$ satisfies assumption (H2), then
$L_\phi$ is itself a nonlinear $m$-dissipative operator in $ L^1(H,\mu)$.

\item[(iii)] If $\phi\in C^2(\mathbb{R})$, then $\overline{D(L_\phi)}= L^1(H,\mu)$.

\end{itemize}
\end{theorem}

\begin{remark}\label{rem1} \rm
We do not claim that the last two assertions in Theorem \ref{th31}
 are optimal.
\end{remark}

\begin{proof}[Proof of Theorem \ref{th31}]
 (i) We will first prove the dissipativity of $L_\phi$ in $ L^1(H,\mu)$.
Let $u,\ v\in D(L_\phi)$ and let
$\bar u=\phi(u)$, $\bar v=\phi(v)$. By assumption, $\bar u$ and
$\bar v$ belong to $D(L_1)$. In view of the dissipativity of $L_1$
in $ L^1(H,\mu)$
we have
\begin{equation}\label{diss}
\int_H L_1(\bar u-\bar v)\mathop{\rm sgn}(\bar u-\bar v)d\mu\le 0,
\end{equation}
and in view of (H1),
\begin{equation}\label{sign}
\mathop{\rm sgn}( u- v)=\mathop{\rm sgn}(\bar u-\bar v).
\end{equation}
Hence, replacing \eqref{sign} into \eqref{diss}, and using the definition of $\bar u,\ \bar v$ we get
$$
\int_H(L_1(\phi(u)-\phi(v))\mathop{\rm sgn}(u- v)d\mu\le 0,
$$
which implies the dissipativity of $L_\phi$.
We prove now that $R(I- L_\phi)$ is dense in $ L^1(H,\mu)$.
Let $f\in L^2(H,\mu)$. Then by Proposition \ref{prop31} (a),
there exists $v\in D(L_2)$, with $\beta(v)\in  L^2(H,\mu)$, such that
$$
-L_2v+\beta(v)=f,
$$
hence setting $u=\beta(v)$ we obtain $v=\phi(u)$ and
$$
u-L_2\phi(u)=f,
$$
hence $f\in R(I-L_\phi)$ (since $L_2\subset L_1$).
We conclude that $ L^2(H,\mu)\subseteq R(I-\lambda L_\phi)$ and
the claim follows from the density of $ L^2(H,\mu)$ in $ L^1(H,\mu)$.

It is a well known fact that if $\overline{L_\phi}$ denotes the closure
of $L_\phi$, then $\overline{L_\phi}$ is
dissipative (possibly multivalued) and $R(I-\overline{L_\phi})$ is closed,
 hence equal to $ L^1(H,\mu)$. Therefore
$\overline{L_\phi}$ is $m$-dissipative in $ L^1(H,\mu)$.

\noindent (ii)
It follows from Proposition \ref{prop31} that if $\beta$ is of the form
(H2) then the range
$$
R(I-L_\phi)= L^1(H,\mu),
$$
hence in this case $L_\phi$ is  $m$-dissipative.

\noindent (iii)
It is sufficient to show that $\mathcal{E}_A(H)\subseteq D(L_\phi)$, since $\mathcal{E}_A(H)$
is dense in $ L^2(H,\mu)$.
If $v\in\mathcal{E}_A(H)$, then
 there exists $N\ge 1$, $h_1,h_2,\ldots,h_N, k_1,k_2,\ldots,k_N\in D(A)$
 $\alpha_1,\alpha_2,\ldots,\alpha_N,\beta_1,\beta_2,\ldots,\beta_N\in\mathbb{R}$
such that
\begin{equation}\label{defv}
v(x)=\sum_{i=1}^N\Bigl(\alpha_i\cos\langle h_i,x\rangle+\beta_i\sin\langle k_i,x\rangle\Bigr),\quad x\in H.
\end{equation}
We will prove that $\phi(v)\in D(L_2)$. In view of \eqref{domL2},
with first verify that $\phi(v)\in W^{2,2}(H,\mu)$. Since $v\in C_b(H)$,
we have that $\phi(v),\phi'(v)$ and $\phi''(v)$ are in $C_b(H)$.
In particular, $\phi(v)\in L^2(H,\mu)$.

From the definition of $ W^{2,2}(H,\mu)$ in \cite[Section 10.6, page 161]{daP},
we need to compute
$D_jD_\ell\phi(v)$, $j,\ell\in\mathbb{N}$. Since $D_jv$ and $D_\ell v$
are bounded and continuous, from
$$
D_\ell\phi(v)=\phi'(v)D_\ell v,
$$
and
\begin{equation}\label{der2}
D_jD_\ell\phi(v)(x)=\phi'(v)D_jD_\ell v(x)+
\phi''(v)D_jv(x)D_\ell v(x),\end{equation}
we obtain that $D_jD_\ell\phi(v)\in C_b(H)\subseteq  L^2(H,\mu)$.

Next we  show  that
\begin{equation}\label{sum2}
\sum_{j,\ell=1}^\infty\int_H|D_jD_\ell\phi(v)|^2d\mu<\infty.
\end{equation}
From \eqref{der2} it is sufficient to show that
\begin{equation}\label{2sumas}
\sum_{j,\ell=1}^\infty\int_H|D_jD_\ell v|^2d\mu<\infty\quad\mbox{and}\quad
\sum_{j,\ell=1}^\infty\int_H|D_jv(x)D_\ell v(x)|^2d\mu<\infty.
\end{equation}
Indeed, the first assertion in \eqref{2sumas} follows from the fact that
$v\in\mathcal{E}_A(H)\subseteq\mathcal{E}(H)\subseteq W^{2,2}(H,\mu)$.
For the second one we note that
\begin{equation}\label{dj}
|D_jv(x)|\le C\sum_{i=1}^N(|\langle h_i,e_j\rangle|+|\langle k_i,e_j\rangle|)
\end{equation}
where $C$ is a positive constant depending only on $\alpha_1,\ldots,\alpha_N,\beta_1,\ldots,\beta_N$, hence
\begin{equation}\label{m1}
\sum_{j,\ell=1}^\infty|D_jv(x)D_\ell v(x)|^2\le 4N^2C^4
\Bigl(\sum_{i=1}^N|h_i|^2+|k_i|^2\Bigr)^2,
\end{equation}
implying that the second assertion in \eqref{2sumas} holds and
therefore $\phi(v)\in W^{2,2}(H,\mu)$. Finally we will prove that
\begin{equation}\label{toprove}
 \int_H|(-A)^{1/2}D \phi(v)|^2d\mu<\infty.
 \end{equation}
First we prove that $D\phi(v)(x)\in D((-A)^{1/2})$.
Since $A=-\frac{1}{2}Q^{-1}$, $w\in H$ belongs to $D((-A)^{1/2})$
if and only if
\begin{equation}\label{dom}
\sum_{j=1}^\infty\gamma^{-1}_j\langle w,e_j\rangle^2<\infty.
\end{equation}
Now, $D\phi(v)(x)=\phi'(v)D_jv(x)$ and $|\phi'(v)|\le C_0$ for some
positive constant $C_0$, hence from \eqref{dj} we find that
$$
|D_j\phi(v)(x)|^2\le C_0^2|D_jv(x)|^2\le 2NC_0^2C^2
\sum_{i=1}^N(|\langle h_i,e_j\rangle|^2+|\langle k_i,e_j\rangle|^2)
$$
where $h_i,\ k_i\in D(A)$, $i=1,\ldots,N$, that is,
\begin{equation}\label{1point}
\sum_{j=1}^\infty\gamma_j^{-2}|\langle h_i,e_j\rangle|^2<\infty\quad\mbox{and}\quad
\sum_{j=1}^\infty\gamma_j^{-2}|\langle k_i,e_j\rangle|^2<\infty.
\end{equation}
Hence from \eqref{1point},
$$
\sum_{j=1}^\infty\gamma_j^{-1}|D_j\phi(v)(x)|^2\le2NC_0^2C^2
\sum_{i=1}^N\sum_{j=1}^\infty\gamma_j^{-1}
(|\langle h_i,e_j\rangle|^2+|\langle k_i,e_j\rangle|^2)<\infty,
$$
since by \eqref{eigen} $\gamma_j^{-1}\le \gamma_j^{-2}$ for large $j$.
 This implies that $D\phi(v)(x)\in D((-A)^{1/2})$ for any $x\in H$ and
\begin{align*}
|(-A)^{1/2}D\phi(v)|^2(x)
&=\sum_{j=1}^\infty\langle D\phi(v)(x),(-A)^{1/2}e_j\rangle^2\\
&=\frac{1}{2}\sum_{j=1}^\infty\langle D\phi(v)(x),\gamma_j^{-1/2}e_j\rangle^2\\
&=\frac{1}{2}\sum_{j=1}^\infty\gamma_j^{-1}\langle D\phi(v)(x),e_j\rangle^2,
\end{align*}
implying that the integrand in \eqref{toprove} is Borel measurable and
 bounded and thus \eqref{toprove} holds. This completes the proof
of part (3).
\end{proof}

We end this section by giving some properties of the nonlinear semigroup
generated by $\overline{L_\phi}$.

\begin{proposition}\label{prop32}
Let $\beta$ satisfy (H1) and
$S_t:\overline{D(\overline{L_\phi})}\to \overline{D(\overline{L_\phi})}$
be the nonlinear semigroup generated by $\overline{L_\phi}$.
Then the following hold.
\begin{itemize}
\item[(i)] For any $c\in\mathbb{R}$, $c\in D(L_\phi)$, and $S_t(c)=c$.
\item[(ii)] Let $f,\ g\in \overline{D(\overline{L_\phi})}$ such that $f\le g$. Then $S_t(f)\le S_t(g)$ for all $t>0$.
\item[(iii)] For any $f\in \overline{D(\overline{L_\phi})}$,
$$\int_HS_tfd\mu=\int_Hfd\mu\quad\mbox{for all }t>0.$$
\end{itemize}
\end{proposition}

\begin{proof}
 From Proposition \ref{prop31}, for any $h>0$ there is a unique
$u\in L^2(H,\mu)$ such that
\begin{equation}\label{mgh1}
-L_2u+\frac{1}{h}\beta(u)=\frac{1}{h}f,
\end{equation}
hence
\begin{equation}\label{mgh2}
(I-h\overline{L_\phi}))^{-1}f=\beta(u).
\end{equation}

\noindent Proof of (i).
If $f=c$, we have $\beta(u)=c$ and thus by induction it follows that
\begin{equation}\label{i1}
(I-h\overline{L_\phi})^{-m}c=c\quad\mbox{for all }m\in\mathbb{N},
\end{equation}
therefore, for any $t>0$ we have
$$
S_t(c)=\lim_{m\to\infty}(I-\frac{t}{m}\overline{L_\phi})^{-m}c=c
$$

\noindent Proof of (ii).
Let now $f_1,\ f_2\in  L^2(H,\mu)$, with $f_1\le f_2$, and for $h>0$ and
$\varepsilon >0$, and $i=1,2$, let
$u_i^{\varepsilon}$ satisfy
$$
\varepsilon u_i^{\varepsilon}-L_2 u_i^{\varepsilon}
+\frac{1}{h}\beta(u_i^{\varepsilon})=\frac{1}{h}f_1.
$$
From \cite[Proposition 4.7 (iv) implies (i)]{Br-book} with
$$
\varphi(u)=\begin{cases} 0 & u\ge 0\\
+\infty &\mbox{otherwise},\end{cases}
$$
we obtain $u_1^{\varepsilon}\le u_2^{\varepsilon}$.
By letting $\varepsilon\to0$ we obtain $u_1\le u_2$ where
$u_i$ satisfy
$$
-L_2u_i+\frac{1}{h}\beta(u_i)=f_i,\quad i=1,2.
$$
Hence, $\beta(u_1)\le\beta(u_2)$ and thus
$$
(I-h\overline{L_\phi}))^{-1}f_1\le (I-h\overline{L_\phi}))^{-1}f_2.
$$
Therefore, by induction,
\begin{equation}\label{i2}
(I-h\overline{L_\phi}))^{-m}f_1\le (I-h\overline{L_\phi}))^{-m}f_2.
\end{equation}
Since $ L^2(H,\mu)$ is dense in $ L^1(H,\mu)$, \eqref{i2} holds also for
$f_1,\ f_2\in L^1(H,\mu)$. By taking
$f_1,\ f_2\in \overline{D(\overline{L_\phi})}$, we obtain as before that
$S_t(f_1)\le S_t(f_2)$.

\noindent Proof of (iii). Arguing as before, it is sufficient to prove that
$$\int_H(I-h\overline{L_\phi})^{-1}fd\mu=\int_Hfd\mu$$
for all  $h>0$ and $f\in L^2(H,\mu)$. This follows by integrating \eqref{mgh1} over $H$ to obtain
$$
\int_H\beta(u)d\mu=\int_Hfd\mu,
$$
hence our claim follows by integrating now \eqref{mgh2} over $H$.
\end{proof}

\section{A nonlinear eigenvalue problem associated with
the Ornstein-Uhlenbeck operator}

In this section we consider the nonlinear eigenvalue problem
\begin{equation}\label{41}
-L_2u+\beta(u)=\lambda u,
\end{equation}
where $\beta$ satisfies (H1) and  is odd. By a solution to this equation
we mean
a pair $(\lambda,u)\in\mathbb{R}\times  L^2(H,\mu)$ satisfying
$u\in W^{2,2}(H,\mu)$, $\beta(u)\in L^2(H,\mu)$. Clearly, for any $\lambda\in\mathbb{R}$,
$(\lambda,0)$ is a solution to \eqref{41}. Set
$$
\lambda^*:=\sup\{\lambda\in\mathbb{R}:s\mapsto\beta(s)
-\lambda s\mbox{ is strictly increasing in }\mathbb{R}\}
$$
We have that $0\le \lambda^*<\infty$. If $\lambda<\lambda^*$,
then $s\mapsto \beta(s)-\lambda s$ is strictly increasing and hence, from
Proposition \ref{prop31} (a) we have that $(\lambda,0)$ is the only solution
 to \eqref{41}.
For $\lambda\in\mathbb{R}$ let us consider the functional
$J_\lambda: L^2(H,\mu)\to[-\infty,\infty]$ defined by
\begin{equation}\label{defJl}
\qquad J_\lambda(u)=\begin{cases}
J_a(u)+J_b(u)-\frac{\lambda}{2}\|u\|_{ L^2(H,\mu)}^2,
& u\in W^{1,2}(H,\mu),\; \int_Hb(u)d\mu<\infty\\
+\infty &\mbox{otherwise.}\end{cases}
\end{equation}
We observe that for $\lambda<\lambda^*$, $J_\lambda$ is strictly convex,
l.s.c. and nonnegative, and $0$ is its global minimizer.

Next we investigate the positive constant solutions to
\eqref{41} $u(x)\equiv c$. Then $\beta(c)=\lambda c$. We have
the following result.

\begin{proposition}\label{prop41}
Assume that
\begin{equation}\label{beta-extra1}
t\mapsto \beta(t)/t\mbox{ is strictly increasing on }(0,\infty).
\end{equation}
Then for all $c>0$ the pair $(\beta(c)/c,c)$ is a solution
to \eqref{41} and $u= c$ minimizes the functional $J_0$ on the set
$$
S_c:=\{u\in W^{1,2}(H,\mu):\|u\|_{ L^2(H,\mu)}=c\}.
$$
Furthermore, $u= c$ is the unique nonnegative minimizer of $J_0$ on $S_c$.
\end{proposition}

\begin{proof}
From \eqref{beta-extra1} we obtain that the mapping $t\mapsto b(\sqrt{t})$,
 $t>0$, is strictly convex, hence for any $u\in D(J_0)$ we have by Jensen's
inequality (\cite[Theorem 2.2(a)]{LL}) that
\begin{equation}\label{ph1}
J_0(u)\ge\int_Hb(\sqrt{|u|^2})d\mu\ge b\Bigl(\sqrt{\int_H|u|^2d\mu}\Bigr)
=b(c)=J_0(c),
\end{equation}
implying that $u= c$ is a minimizer for $J_0$. On the other hand,
if $u$ is a minimizer, then
from \eqref{ph1} and the fact that $J_0(c)\ge J_0(u)$, we obtain that
$$
\int_Hb(\sqrt{|u|^2})d\mu= b\Bigl(\sqrt{\int_H|u|^2d\mu}\Bigr),
$$
hence by \cite[Theorem 2.2(b)]{LL} we deduce that $u^2$ must
be a constant, hence $u= c$ since $u$ is nonnegative.
\end{proof}

We will now state and prove our existence results.

\begin{theorem}\label{existprop}
\begin{itemize}
\item[(i)]For any $R>0$ there exists a solution $(\lambda,u)$ to \eqref{41} satisfying $u\ge 0$ and $u$  minimizes $J_0$ on $S_R$.
\item[(ii)]For any $R>0$ there exists a sequence of solutions $\{(\lambda_n,u_n)\}_{n\in\mathbb{N}}$ to \eqref{41} such that
$u_n\in S_R$ and
\begin{equation}\label{eigenprop}
\lambda_n>0\quad\mbox{for } n\in\mathbb{N},\quad\mbox{and}\quad
\sup_{n\in\mathbb{N}}\lambda_n=\infty.
\end{equation}
\end{itemize}
\end{theorem}

\begin{proof}
 (ii) We will apply Theorem 1 in \cite{Cl1}, see also \cite{K}. As the real
infinite dimensional  separable Hilbert space
we choose $E= L^2(H,\mu)$. Let $\varphi:E\to[0,\infty]$ be defined by
$\varphi(u):=J_{-1},$ $u\in E$. Then clearly $\varphi$
is convex, even, and $\varphi(0)=0$. Moreover, in view of the
compactness of the imbedding \eqref{compactimbe}, the convex set
$$
\{u\in E:\varphi(u)\le \rho\}
$$
is compact in $E$ for all $\rho\ge 0$. Moreover, since
 $\mathcal{E}(H)\subseteq C_b(H)\cap W^{1,2}(H,\mu)$ we have that $\mathcal{E}(H)\subseteq D(\varphi)$.
The density of $\mathcal{E}(H)$ in $E$ implies the density of $D(\varphi)$ in $E$.
 Hence, all the assumptions of \cite[Theorem 1]{Cl1} are satisfied
and therefore there exists a sequence $(\nu_k,u_k)\in\mathbb{R}\times E$,
$k\in\mathbb{N}$ such that $\|u_k\|_{E}=R$, $\partial J_{-1}(u_k)\ni\nu_k u_k$
and $\sup_{k\ge 1}\varphi(u_k)=\infty$. We claim that
$$
D(\partial J_{-1})=D(L_2)\cap D(B),
$$
and
$$
\partial J_{-1}(u)=-L_2u+Bu+u,\quad u\in D(\partial J_{-1}).
$$
Indeed,
$$
J_{-1}=J_a+J_{\tilde b},
$$
where $\tilde b(t)=b(t)+\frac{1}{2}t^2$ and we have
$$
\partial J_a=-L_2,\quad\mbox{and}\quad \partial J_{\tilde b}=B+I.
$$
In view of Proposition \ref{prop31} (a), we have
$$
R(-L_2+B+2I)=E,
$$
which implies that $-L_2+(B+I)$ is maximal monotone.
From \cite[page 41]{Br-book} we have
$$
\partial J_{-1}=\partial J_a+\partial J_{\tilde b},
$$
which proves the claim. Therefore
$$
-L_2u_k+\beta(u_k)=(\nu_k-1)u_k,\quad k\in\mathbb{N}.
$$
Set $\lambda_k=\nu_k-1$, $k\in\mathbb{N}$. By taking inner product with $u_k$
and taking into account that $\|u_k\|_E=R>0$ we have
that $\lambda_k>0$. Finally, since
$$
\varphi(u_k)\le\langle \partial\varphi(u_k),u_k\rangle=\nu_k R^2,
$$
we have $\sup_{k\in\mathbb{N}}\lambda_k=\infty$. and thus \eqref{eigenprop} holds.
\smallskip

\noindent (i) In this part we shall use that $u\in W^{1,2}(H,\mu)$ implies
that $|u|\in W^{1,2}(H,\mu)$, $J_a(|u|)=J_a(u)$, and moreover, since
$\beta$ is odd, we also have $J_b(|u|)=J_b(u).$ We will apply Theorem 3 in \cite{Cl1}. To this end we set
$$P:=\{v\in L^2(H,\mu) :\ v\ge 0\},\qquad I_P(u)=\begin{cases} 0\quad u\in P\\ +\infty\quad\mbox{otherwise},\end{cases}$$
and define $\varphi_+: E\to [0,\infty]$ by $\varphi_+(u)=\varphi(u)+I_P(u),$ $u\in E$. We have that $\varphi_+$ is convex, l.s.c., the set
$\{u\in E:\varphi_+(u)\le\rho\}$ is compact for every $\rho\ge 0$,
and $\varphi_+(0)=0$.
We claim that $\overline{D(\varphi_+)}=P$. Indeed, let $u\in P$.
 By the density of $D(\varphi)$ in $E$, there exists
$\{u_n\}\subseteq D(\varphi)$ such that $u_n\to u$ in $E$.
Hence, $|u_n|\in D(\varphi_+)$ and $|u_n|\to |u|=u$ in $E$.

Let $R>0$. From  \cite[Theorem 3]{Cl1} there exists
$(\nu,u)\in\mathbb{R}^+\times P$, with $\|u\|_E=R$, $\nu u\in D(\partial\varphi_+)$,
$\nu u\in\partial\varphi_+(u)$ and
$$
\varphi_+(u)=\inf_{v\in S_R}\varphi_+(v).
$$
It follows that
$$
\varphi_+(v)\ge\varphi_+(u)+\langle \nu u,v-u\rangle\quad\mbox{for all }
v\in D(\varphi).
$$
Since $u\in P$, we have $\varphi_+(u)=\varphi(u)$, hence
$$
\varphi_+(v)\ge\varphi(u)+\langle \nu u,v-u\rangle\quad\mbox{for all }
v\in D(\varphi).
$$
Moreover, for all $v\in P\cap D(\varphi)$ we have
$$
\varphi(v)\ge\varphi(u)+\langle \nu u,v-u\rangle,
$$
hence for all $v\in D(\varphi)$ we have
$$
\varphi(|v|)\ge\varphi(u)+\langle \nu u,|v|-u\rangle.
$$
Since $\varphi(|v|)=\varphi(v)$, we obtain
$$
\varphi(v)\ge\varphi(u)+\langle \nu u,v-u\rangle+\langle \nu u,|v|-v\rangle\ge\varphi(u)
+\langle \nu u,v-u\rangle,
$$
hence $\nu u\in D(\partial\varphi(u)$ and $\nu u=-L_2+Bu+u$.
Setting now $\lambda=\nu-1$ we get
$$
-L_2u+Bu=\lambda u.
$$
Finally, we have
\begin{align*}
J_0(u)&=\varphi(u)-\frac{1}{2}R^2=\varphi_+(u)-\frac{1}{2}R^2\\
&=\inf_{v\in S_R}\varphi_+(v)-\frac{1}{2}R^2=\inf_{v\in S_R}\varphi(|v|)-\frac{1}{2}R^2\\
&=\inf_{v\in S_R}\varphi(v)-\frac{1}{2}R^2\\
&=\inf_{v\in S_R}J_0(v).
\end{align*}
\end{proof}

We complete this note by exhibiting a class of functions
$\beta$ for which the minimum of $J_0$ on $S_R$ is not attained
at the constants for $R$ small.

\begin{proposition}\label{prop42}
Assume that $\beta$ satisfies the extra conditions
\begin{gather}
\lim_{s\to 0}\frac{b(s)}{s^2}=\infty,\quad\mbox{and}\quad
\lim_{s\to \infty}\frac{b(s)}{s^2}=0;\label{mon}\\
\text{there exists $C>0$ such that
$b(st)\le Cb(s)b(t)$ for all $s,t>0$.}\label{delta'}
\end{gather}
Then, there exists $R_0>0$ such that for any $R\in(0,R_0)$ $J_0$ does
not achieve its minimum on $S_R$ at the
constants.
\end{proposition}

\begin{proof}
 For $n\in\mathbb{N}$, we set
$$
\tilde u_n(t)=\begin{cases}
 -n\alpha_n(|t|-\frac{1}{n}) & |t|\le \frac{1}{n}\\
0 & |t|> \frac{1}{n}
\end{cases}
$$
where $\alpha_n$ will be chosen later.
 We define $u_n:H\to\mathbb{R}$ by $u_n(x):=\tilde u_n(\langle x,e_1\rangle)$
and we choose $\alpha_n$ so that $\|u_n\|_{ L^2(H,\mu)}=R$.
We observe also that $u_n\in W^{1,2}(H,\mu)$. One verifies that
\begin{equation}\label{ph3}
C_1R\sqrt{n}\le\alpha_n\le C_2R\sqrt{n},
\end{equation}
for some positive constants $C_1,\ C_2$.
We will show now that if $n$ is chosen large enough and $R>0$ is small
 enough, then
$$
J_0(u_n)<J_0(R)=b(R).
$$
Indeed, it follows from the definition of $\mu$ that
\begin{equation}\label{ints}
\frac{1}{2}\int_H|Du_n|^2d\mu\le K_0\int_0^{1/n}|\tilde u_n'|^2dt,\quad
\int_Hb(u_n)d\mu\le K_0\int_0^{1/n}b(\tilde u_n)dt
\end{equation}
for some positive constant $K_0$.
Now, from \eqref{ph3} we have
\begin{equation}\label{ph0}
\int_0^{1/n}|\tilde u_n'|^2dt=n\alpha_n^2\le C_2^2n^2R^2,
\end{equation}
and from \eqref{ph3} and \eqref{delta'} we get
$$
\int_0^{1/n}b(\tilde u_n)dt=\frac{1}{n\alpha_n}\int_0^{\alpha_n}b(s)ds
\le \frac{b(\alpha_n)}{n}
\le \frac{b(C_2R\sqrt{n})}{n}\le Cb(R)\frac{b(C_2\sqrt{n})}{n}.
$$
Using now the second condition in \eqref{mon} to find $n_0\in\mathbb{N}$ so that
$$
CK_0\frac{b(C_2\sqrt{n_0})}{n_0}<\frac{1}{4},
$$
from the second inequality in \eqref{ints} we obtain
\begin{equation}\label{ph4}
\int_Hb(u_n)d\mu\le\int_Hb(u_{n_0})d\mu<\frac{1}{4}b(R).
\end{equation}
Finally, in view of the first assumption in \eqref{mon} we can find $R_0>0$ such that for any $R\in(0,R_0)$
$$K_0C_2^2n_0^2\frac{R^2}{b(R)}\le \frac{1}{4},$$
therefore from the first inequality in \eqref{ints} and \eqref{ph0}, we have
\begin{equation}\label{ph5}
\frac{1}{2}\int_H|Du_n|^2d\mu\le K_0C_2^2n_0^2\frac{R^2}{b(R)}b(R)
\le \frac{1}{4}b(R).
\end{equation}
Hence, from \eqref{ph4} and \eqref{ph5} we conclude that for any $R\in(0,R_0)$,
$$
\inf_{v\in S_R}J_0(v)\le J_0(u_{n_0})\le \frac{1}{2}b(R)=\frac{1}{2}J_0(R).
$$
This completes the proof of the proposition.
\end{proof}

\begin{remark} \rm
 We note that $\beta(s)=|s|^{p-1}s$, $0<p<1$, satisfies all the
assumptions of Proposition \ref{prop42}.
\end{remark}

As a last comment, we mention that as a consequence of Theorem \ref{existprop}
and Proposition \ref{prop42} we have shown the existence of a nonnegative
nonconstant solution to \eqref{41}.
It is worth observing that a function $u$ of the form
$$
u(x)=\tilde u(\langle x,e_1\rangle, \langle x,e_2\rangle, \ldots, \langle x,e_N\rangle),
$$
where $\tilde u:\mathbb{R}^N\to\mathbb{R}$ is a solution to \eqref{41} with
$H=\mathbb{R}^N$ with the usual inner product and
$$
L_2=\frac{1}{2}\Delta+\langle b(x),\nabla\rangle,
$$
where $b_i(x)=-\frac{x_i}{2\gamma_i}$, $1\le i\le N$, is also a
solution to the infinite dimensional problem.
It is an open problem to know whether \eqref{41} possesses
solutions depending on  infinitely many variables.

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\end{document}
