This paper introduces a new framework with extended concepts of pseudo-monotonicity and coercivity, enabling the proof of existence for a broad class of non-linear evolution problems involving time-dependent operators.
Contribution
It develops the notions of Bochner pseudo-monotonicity and Bochner coercivity, extending existing theories to handle more complex evolution problems where standard methods fail.
Findings
01
Established a new existence theorem for non-linear evolution problems
02
Introduced the concepts of Bochner pseudo-monotonicity and coercivity
03
Provided conditions applicable to a wide range of problems
Abstract
In this note we develop a framework which allows to prove an existence result for non-linear evolution problems involving time-dependent, pseudo-monotone operators. This abstract existence result is applicable to a large class of concrete problems where the standard theorem on evolutionary pseudo-monotone operators is not applicable. To this end we introduce the notion of Bochner pseudo-monotonicity, and Bochner coercivity, which are appropriate extensions of the concepts of pseudo-monotonicity and coercivity to the evolutionary setting. Moreover, we give sufficient conditions for these new notions, which are easily and widely applicable.
Equations224
Au=f in V∗,
Au=f in V∗,
dtdy+\mathbfcalAyy(0)=f=y0 in Lp′(I,V∗), in H.
dtdy+\mathbfcalAyy(0)=f=y0 in Lp′(I,V∗), in H.
\displaystyle\begin{split}L\colon&D(L)\subseteq L^{p}(I,V)\rightarrow L^{p^{\prime}}(I,V^{*})\text{
with }L\boldsymbol{x}:=\frac{d\boldsymbol{x}}{dt}\\
\text{and
}&D(L):=\{\boldsymbol{x}\in W^{1,p,p^{\prime}}(I,V,V^{*}){\,\big{|}\,}\boldsymbol{x}(0)=\boldsymbol{0}\text{ in }H\}.\end{split}
\displaystyle\begin{split}L\colon&D(L)\subseteq L^{p}(I,V)\rightarrow L^{p^{\prime}}(I,V^{*})\text{
with }L\boldsymbol{x}:=\frac{d\boldsymbol{x}}{dt}\\
\text{and
}&D(L):=\{\boldsymbol{x}\in W^{1,p,p^{\prime}}(I,V,V^{*}){\,\big{|}\,}\boldsymbol{x}(0)=\boldsymbol{0}\text{ in }H\}.\end{split}
\displaystyle\mathbfcal{A}\boldsymbol{s}_{n}=\sum_{i=1}^{k_{n}}{\chi_{E_{i}^{n}}\mathbfcal{A}s_{i}^{n}+\chi_{\big{\{}I\setminus\bigcup_{i=1}^{k_{n}}{E_{i}^{n}}\big{\}}}\mathbfcal{A}0}:I\rightarrow Y
\displaystyle\mathbfcal{A}\boldsymbol{s}_{n}=\sum_{i=1}^{k_{n}}{\chi_{E_{i}^{n}}\mathbfcal{A}s_{i}^{n}+\chi_{\big{\{}I\setminus\bigcup_{i=1}^{k_{n}}{E_{i}^{n}}\big{\}}}\mathbfcal{A}0}:I\rightarrow Y
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11institutetext: A. Kaltenbach 22institutetext: Institute of Applied Mathematics,
Albert-Ludwigs-University Freiburg,
Ernst-Zermelo-Straße 1, 79104 Freiburg,
Note on the existence theory for pseudo-monotone evolution problems
A. Kaltenbach
M. Růžička
(Received: date / Accepted: date)
Abstract
In this note we develop a framework which allows to prove an
existence result for non-linear evolution problems
involving time-dependent, pseudo-monotone operators. This abstract
existence result is applicable to a large class of concrete problems
where the standard theorem on evolutionary pseudo-monotone operators
(cf. Theorem 1.3) is not applicable. To this end we
introduce the notion of Bochner pseudo-monotonicity, and Bochner
coercivity, which are appropriate extensions of the concepts of
pseudo-monotonicity and coercivity to the evolutionary
setting. Moreover, we give sufficient conditions for these new
notions, which are easily and widely applicable.
Keywords:
Evolution equation Pseudo-monotone operator Existence result
MSC:
47 H05, 35 K90, 35 A01
1 Introduction
The theory of pseudo-monotone operators turned out to be a powerful
instrument in proving existence results for non-linear problems both
in the time-independent and the time-dependent setting. The
celebrated main theorem on pseudo-monotone operators, stemming from
Brezis Bre68 , states the following111All notion are
defined in Section 2.
Theorem 1.1
Given a reflexive, separable Banach space V, a right-hand side
f∈V∗ and an operator A:V→V∗ that it is
pseudo-monotone, bounded and coercive, there exists a solution
u∈V of the problem
[TABLE]
i.e., the operator A is surjective.
Typical examples for such operators are sums of a monotone and a
compact operator (cf. Zei90B ). Thus, the theory of pseudo-monotone operators
extends the theory of monotone operators due to Browder Bro63
and Minty Min63 .
There exists also a time-dependent analogue of the above result
(cf. Sho97 ).
Theorem 1.3
Given an evolution triple
V↪H≅H∗↪V∗, a finite time
horizon I:=(0,T), an initial value
y0∈H, a right-hand
side222p′=p−1p for p∈(1,∞).
f∈Lp′(I,V∗), 1<p<∞, and a family of
operators A(t):V→V∗ such that the induced operator
\mathbfcalA:Lp(I,V)→Lp′(I,V∗), given via
(\mathbfcalAx)(t):=A(t)(x(t)) for
almost every t∈I and all x∈Lp(I,V), is
pseudo-monotone, bounded and coercive, there exists a solution
y∈W1,p,p′(I,V,V∗) of the initial value problem
[TABLE]
This result is essentially a consequence of the main theorem on
pseudo-monotone perturbations of maximal monotone mappings, stemming
from Browder Bro68 and Brezis Bre68 (see also (Zei90B, , §32.4.)). In doing so, one
interprets the time derivative
dtd:W1,p,p′(I,V,V∗)→Lp′(I,V∗) as a
maximal monotone mapping
[TABLE]
Note that the maximal monotonicity of the operator L can basically
be traced back to the generalized integration by parts formula
(cf. Proposition 2.22). For details we refer to
Lio69 ; GGZ74 ; Zei90B ; Sho97 ; Rou05 ; Ru04 .
To illustrate the applicability of the above existence results we
consider as prototypical applications the steady and unsteady motion
of incompressible shear dependent fluids in a bounded domain
Ω⊂R3. The motion in the steady and unsteady
situation, resp., is governed by
[TABLE]
and
[TABLE]
respectively. Here u=(u1,u2,u3)⊤ is the fluid velocity,
Du its symmetric gradient,
i.e., Du=21(Du+Du⊤),
S(Du)=(δ+∣Du∣)p−2Du,
p∈(1,∞), δ≥0, the extra stress tensor, π the
pressure, f=(f1,f2,f3)⊤ the external body force, and
u0 the initial velocity. Here we used the notation
([∇u]u)i=∑j=13uj∂jui,
i=1,2,3, for the convective term. Setting
V:=W0,div1,p(Ω), H:=Ldiv2(Ω), the spaces
of solenoidal vector fileds from W01,p(Ω) and
L2(Ω), resp., the first two terms in (1.5) define
operators S,B:V→V∗ through
⟨Su,v⟩V:=∫ΩS(Du)⋅Dvdx,
⟨Bu,v⟩V:=−∫Ωu⊗u⋅Dvdx. Note that
∫Ω∇π⋅vdx=0 for v∈V and
sufficiently smooth π. It is well known that the operator S is
a strictly monotone, bounded, coercive and continuous
(cf. GGZ74 ; Lio69 ), and that, due to the compact embedding
W01,p(Ω)↪Lq(Ω), q<3−p3p, the
operator B is compact, bounded and ⟨Bu,u⟩V=0
if p>9/5 (cf. Lio69 ). Thus, A:=S+B fulfils the
assumptions of Theorem 1.1, yielding the existence of
solutions u∈V of (1.5) if p>9/5. To treat
the unsteady problem (1.6) note that the operators S,B induce
operators
\mathbfcalS,\mathbfcalB:Lp(I,V)→Lp′(I,V∗)
through (\mathbfcalSx)(t):=S(x(t)),
(\mathbfcalBx)(t):=B(x(t)) for almost
every t∈I and all x∈Lp(I,V). The induced
operator \mathbfcalS inherits the properties of the operator S
(cf. (Zei90B, , Chapter 30)), i.e., \mathbfcalS is a strictly monotone,
bounded, coercive and continuous operator. On the other hand the
operator \mathbfcalB is still bounded for sufficiently large p,
e.g. p>3. However, the operator \mathbfcalB is for no p
compact333This failure of the compactness is due to the fact
that no information of the time derivative has been taken into
account. If \mathbfcalB is considered as an operator from
W1,p,p′(I,V,V∗) to (W1,p,p′(I,V,V∗))∗ one can show
that \mathbfcalB is compact. However, on these spaces the operator \mathbfcalA
is not coercive, and Theorem 1.3 is again not applicable.,
since the embedding
Lp(I,W01,p(Ω))↪Lp(I,Lq(Ω)),
q<3−p3p, is not compact. In fact, given fn⇀f in
Lp(I) containing no strongly convergent subsequence and
gn⇀g in W01,p(Ω), the sequence
un(t):=fn(t)gn is bounded in Lp(I,W01,p(Ω)) but
does not contain any strongly convergent subsequence in
Lp(I,Lq(Ω)). Thus, Theorem 1.3 can not be applied
to the operator \mathbfcalA:=\mathbfcalS+\mathbfcalB. Nevertheless, it was already
observed in (Lio69, , Theorems 2.5.1, 3.1.2) that, using and adapting the
ideas of the proof of Theorem 1.3, one can show the existence
of solutions u∈W1,p,p′(I,V,V∗) of (1.6) if
p>11/5.
In fact, this situation is prototypical and not an exception. To be
more precise, assume that the operator
\mathbfcalA:Lp(I,V)→Lp′(I,V∗) is induced by a
family of operators A(t):V→V∗, t∈I. We can not
expect \mathbfcalA:Lp(I,V)→Lp′(I,V∗) to be
pseudo-monotone even if the operators {A(t)}t∈I are
pseudo-monotone. This is due to the fact that
xn⇀x in Lp(I,V) in
general does not imply
xn(t)⇀x(t) in V for
a.e. t∈I (cf. Remark 2.15). Thus, the pseudo-monotonicity
of the operators A(t) can not be used. However, adapting the ideas
of Lio69 ; Hir1 ; Hir2 one can show the existence of solutions to
the evolutionary problem in many cases (cf. BR17 for a
treatment using this approach). The drawback of this approach is that
additional technical assumptions on the spaces have to be made in
order to use the Aubin–Lions lemma. These additional assumptions are
not natural and in fact even not needed. It is the first purpose of
this paper to prove an abstract existence theorem for evolutionary
problems (cf. Theorem 4.1) that avoids unnecessary technical
assumptions and is applicable if Theorem 1.3 is not applicable
but (Lio69, , Theorem 2.5.1) could be adapted. This leads us to the new notion of Bochner
pseudo-monotone operators. Moreover, based on the methods in
LM87 ; Shi97 ; Pap97 ; RT01 ; Rou05 ; BR17 , we are able to prove that the
induced operator \mathbfcalA of a family of pseudo-monotone
operators {A(t)}t∈I satisfying appropriate coercivity and
growth conditions (cf. conditions
(C.1)–(C.5) which are easily
verifiable in concrete applications) is Bochner pseudo-monotone. Note
that the operator \mathbfcalA=\mathbfcalS+\mathbfcalB, introduced above for the
treatment of problem (1.6), satisfies these
conditions. Consequently, Theorem 4.1 or Corollary 4.2 are
applicable, in contrast to Theorem 1.3, which is not.
This observation applies to many other applications,
especially those where the inducing operator contains a compact
part. Thus, it seems that Bochner pseudo-monotonicity plays the same
role for nonlinear evolution problems as classical pseudo-monotonicity
for time-independent nonlinear problems. This is due to the fact that
Bochner pseudo-monotonicity takes into account the informations both
from the operator and the time derivative. In the same spirit, we
introduce the notion of Bochner coercivity, which generalizes the
usual coercivity of the operator in the sense that it also takes into
account the information coming from the time derivative based on
Gronwall’s inequality.
Consider now the problem (1.6) without the convective
term. In this case Theorem 1.3 is applicable. However, there
appears the restriction p>6/5, since the spaces V,H have to form an evolution
triple. This lower bound is artificial and can be avoided if one works
on the intersection space V∩H, at least in the case of a
monotone operator, as already observed in
(Lio69, , Theorem 2.1.2bis). The second purpose of this paper is
to avoid artificial lower bounds based on problems with appropriate
embeddings. Thus, we introduce the notion of pre-evolution
triples, based on pull-back intersections, which generalize
evolution triples. Moreover, we develop the abstract theory of Bochner
pseudo-monotone operators immediately for pre-evolution triples.
The paper is organized as follows: In Section 2 we introduce
the notation and some basic definitions and results concerning
Bochner-Lebesgue spaces, Bochner-Sobolev spaces, pull-back
intersections, evolution equations and introduce the notion of
pre-evolutions triples. In Section 3 we introduce Bochner
pseudo-monotonicity and Bochner coercivity as appropriate extensions
of the concepts of pseudo-monotonicity and coercivity to the
evolutionary setting. In view of applications we will present some
sufficient conditions on operator families that imply these
concepts. In Section 4 we prove an existence result for
evolution equations with pre-evolution triples for abstract Bochner
pseudo-monotone and Bochner coercive operators as well as for
operators satisfying appropriate and easily verifiable sufficient
conditions. Section 5 contains some illustrating example for
the before developed theory.
The paper is an extended and modified version of parts of the thesis
alex-master .
2 Preliminaries
2.1 Operators
For a Banach space X with norm ∥⋅∥X we denote by X∗ its
dual space equipped with the norm ∥⋅∥X∗. The duality
pairing is denoted by ⟨⋅,⋅⟩X. All occurring
Banach spaces are assumed to be real. By D(A) we denote the domain
of definition of an operator A:D(A)⊆X→Y, and
by R(A):={Ax∣x∈D(A)} its range.
The following notions turn out to be useful in our investigation.
Definition 2.1
Let (X,∥⋅∥X) and (Y,∥⋅∥Y) be Banach spaces. The
operator A:D(A)⊆X→Y is said to be
(i)
bounded, if for all bounded
M⊆D(A)⊆X the image A(M)⊆Y is
bounded.
(ii)
coercive, if Y=X∗, D(A) is
unbounded and
lim∥x∥X→∞x∈D(A)∥x∥X⟨Ax,x⟩X=∞.
(iii)
pseudo-monotone, if Y=X∗, D(A)=X and for
each sequence (xn)n∈N⊆X with
[TABLE]
it follows that
⟨Ax,x−y⟩X≤liminfn→∞⟨Axn,xn−y⟩X for all y∈X.
Note that pseudo-monotonicity together with boundedness compensate for the
absence of weak continuity of the nonlinear operator A, as for a
sequence (xn)n∈N⊆X satisfying (2.2) and (2.3) it follows that
Axn⇀n→∞Ax in X∗. Also
note that the conditions (2.2) and (2.3) are natural,
since if (xn)n∈N⊆X is a sequence of
appropriate Galerkin approximations of the problem (1.2),
then (2.2) is a consequence of the demanded coercivity and
(2.3) can be derived directly from the properties of the
Galerkin approximation.
2.2 Pre-evolution triple and pull-back intersections
Existence results for the initial value problem (1.4)
(cf. Bre68 ; Lio69 ; GGZ74 ; Zei90B ; Sho97 ; Rou05 ; Ru04 ) usually require
an evolution triple structure (V,H,j), i.e., (V,∥⋅∥V) is a
separable, reflexive Banach space, (H,(⋅,⋅)H) a Hilbert
space and j:V→H an embedding, such that R(j) is dense in H,
e.g. V=W01,p(Ω), H=L2(Ω) and j=id for
p≥d+22d fulfil these requirements. This evolution triple
structure is primarily needed for the validity of an integration by
parts formula (cf. Proposition 2.22). Note that especially the
existence of a dense embedding in the definition of evolution triples
limits the scope of application, since for example W01,p(Ω)
does not embed into L2(Ω) if 1<p<d+22d.
Lions in Lio69 circumvented this limitation in the case of
autonomous monotone operators A:V→V∗ by modifying
the coercivity condition ⟨Av,v⟩V≥c∥v∥Vp to
⟨Av,v⟩V≥c[v]Vp, where [⋅]V is a
semi-norm on V such that [v]V+λ∥v∥H≥β∥v∥V for
all v∈V and for some λ,β>0. If A is generated by
the p-Laplace operator for p∈(1,d+22d) the above
situation is realized by V=W01,p(Ω)∩L2(Ω),
equipped with
∥⋅∥V=∥⋅∥W01,p(Ω)+∥⋅∥L2(Ω), H=L2(Ω) and
[⋅]V=∥⋅∥W01,p(Ω).
We proceed similarly and consider a separable, reflexive Banach space
V, a Hilbert space H such that V∩H exists. We equip
V∩H with the canonical sum norm
∥⋅∥V=∥⋅∥V+∥⋅∥H, such
that trivially V∩H embeds into H densely, i.e., V∩H and
H form an evolution triple. Moreover, we relax the coercivity
condition further, since we take into account the information coming
from the time derivative. To make this precise
(cf. Definition 2.10) we need some facts on
intersections of Banach spaces. To this end, we want to propose an
alternative point of view, which turns out to be both quite
comfortable and exact, in the sense that we do not need to assume any
identifications of spaces and the amount of occurring embeddings is
marginal. Nonetheless, we emphasize that the standard definition of
intersections of Banach spaces (cf. BS88 ) is equivalent to our
approach and all the following assertions remain true if we use the
standard framework in BS88 .
Definition 2.4 (Embedding)
Let (X,τX) and (Y,τY) be topological vector spaces. The
operator j:X→Y is said to be an embedding if
it is linear, injective and continuous. In this case we use the
notation
[TABLE]
If X⊆Y and j=idX:X→Y, then we write
X↪Y instead.
Definition 2.5 (Compatible couple)
Let (X,∥⋅∥X) and (Y,∥⋅∥Y) be Banach spaces such
that embeddings eX:X→Z and eY:Y→Z into a
Hausdorff vector space (Z,τZ) exist. Then we call
(X,Y):=(X,Y,Z,eX,eY) a compatible couple.
Definition 2.6 (Pull-back intersection of Banach spaces)
Let (X,Y) be a compatible couple. Then the operator
j:=eY−1eX:eX−1(R(eX)∩R(eY))→Y
is well-defined and we denote by
[TABLE]
the pull-back intersection of X and Y in X with
respect to j. Furthermore, j is said to be the
corresponding intersection embedding. If X,Y⊆Z
with eX=idX and eY=idY, we set
X∩Y:=X∩jY.
The next proposition shows that j:X∩jY→Y is indeed an
embedding if X∩jY is equipped with an appropriate norm.
Proposition 2.7
Let (X,Y) be a compatible couple. Then X∩jY is a vector
space and equipped with norm
[TABLE]
a Banach-space. Moreover, j:X∩jY→Y is an embedding.
Proof
In (BS88, , Chapter 3, Theorem 1.3) it is proved that
R(eX)∩R(eY) equipped with the norm
∥⋅∥R(eX)∩R(eY):=∥eX−1(⋅)∥X+∥eY−1(⋅)∥Y is a Banach space. Since
eX−1:R(eX)∩R(eY)→X∩jY is an isometry, if
we equip X∩jY with the norm ∥⋅∥X∩jY, the space
X∩jY inherits the Banach space property of
R(eX)∩R(eY). The linearity and injectivity of j:X∩jY→Y are clear. The continuity of j:X∩jY→Y follows directly from the
definition of the norm in X∩jY. □
Remark 2.8 (Fundamental properties of pull-back intersections)
(i)
Consistency: If (X,∥⋅∥X) and
(Y,∥⋅∥Y) are Banach spaces such that an embedding
j:X→Y exists, then (X,Y)=(X,Y,Y,j,idY)
forms a compatible couple and it holds X∩jY=X with norm
equivalence ∥⋅∥X∩jY∼∥⋅∥X.
(ii)
Commutativity up to isomorphism: For a
compatible couple (X,Y) the pull-back intersection
Y∩j−1X of X and Y in Y with respect to
j−1=eX−1eY is well-defined as well. In addition,
j:X∩jY→Y∩j−1X is an isometric
isomorphism. Rephrased, pull-back intersections are thus
commutative up to an isometric isomorphism.
(iii)
Associativity: If
(X,Y)=(X,Y,Z,eX,eY) and (Y,W)=(Y,W,Z,eY,eW) are compatible
couples, i:=eW−1eX, j:=eY−1eX and k:=eW−1eY,
then it holds (X∩jY)∩iW=X∩j(Y∩kW) and
∥⋅∥(X∩jY)∩iW=∥⋅∥X∩j(Y∩kW).
Proposition 2.9
Let (X,Y) be a compatible couple. Then it holds:
(i)
The graph
G(j):=\{(x,y)^{\top}\in X\times Y{\,\big{|}\,}x\in X\cap_{j}Y,y=jx\} is closed in X×Y.
(ii)
If X and Y are reflexive or separable, then
X∩jY is as well.
(iii)
First characterization of weak
convergence in X∩jY: A sequence (xn)n∈N⊂X∩jY and x∈X∩jY satisfy
xn⇀n→∞x in X∩jY if and only if
xn⇀n→∞x in X
and
jxn⇀n→∞jx in Y.
(iv)
Second characterization of weak
convergence in X∩jY: In addition let X be
reflexive. A sequence (xn)n∈N⊂X∩jY and x∈X∩jY satisfy
xn⇀n→∞x in X∩jY if and only if
supn∈N∥xn∥X<∞ and
jxn⇀n→∞jx in Y.
Proof
ad (i) Let X×Y be the product of X and Y, which
equipped with norm ∥(x,y)⊤∥X×Y:=∥x∥X+∥y∥Y is
a Banach space. Hence,
[TABLE]
is a linear isometric isomorphism of X∩jY onto
G(j). Therefore, G(j) is closed in X×Y.
ad (ii): If X and Y are reflexive, then also
X×Y is reflexive. Since G(j) is closed in X×Y, it
is also reflexive. As L is an isomorphism we finally transfer the
reflexivity from G(j) to X∩jY. If X and Y are separable,
then also X×Y is separable and G(j) as well. As L is an
isometric isomorphism X∩jY has to be separable as well.
ad (iii): Follows from the fact that weak convergence in
X×Y is characterized by weak convergence of all components
in conjunction with the isometric isomorphism L.
ad (iv): The necessity follows immediately from (iii). To prove the
sufficiency let x∈X∩jY and (xn)n∈N⊂X∩jY
satisfy supn∈N∥xn∥X<∞ and
jxn⇀n→∞jx in Y.
Let (xn)n∈Λ⊆X∩jY with
Λ⊆N be an arbitrary subsequence. In
particular, (xn)n∈Λ⊆X is bounded. Then
Eberlein-Šmuljan’s theorem yields the existence of both a
subsequence (xn)n∈Λ1⊆X∩jY with
Λ1⊆Λ and an element x~∈X such
that
[TABLE]
We have ((xn,jxn)⊤)n∈Λ1⊆G(j). As weak
convergence of all components implies weak convergence in the
corresponding Cartesian product we obtain
[TABLE]
G(j) is weakly closed in X×Y, as it is convex and closed
in X×Y (cf. Proposition 2.9). In consequence, it holds
(x~,jx)⊤∈G(j), i.e., x~∈X∩jY and
jx=jx~ in Y. From the injectivity of
j:X∩jY→Y we deduce further that x=x~ in
X∩jY. Thus, the first characterization of weak convergence in
pull-back intersections provides
[TABLE]
Hence, x∈X∩jY is weak accumulation point of each
subsequence of (xn)n∈N⊆X∩jY. The
standard convergence principle (cf. (GGZ74, , Kap. I, Lemma 5.4)) yields
xn⇀n→∞x in X∩jY. □
Now, we have created an appropriate framework to give a detailed description of the concept of pre-evolution triples.
Definition 2.10 (Pre-evolution triple)
Let (V,H):=(V,H,Z,eV,eH) be a compatible couple,
(V,∥⋅∥V) a separable, reflexive Banach space and
(H,(⋅,⋅)H) a separable Hilbert space. In this situation
the pull-back intersection of V and H is defined as
V\cap_{j}H:=e_{V}^{-1}\big{(}R(e_{V})\cap R(e_{H})\big{)}, and the
intersection embedding is defined as
j:=eH−1eV:V∩jH→H. If
[TABLE]
then the triple (V,H,j) is said to be a pre-evolution
triple. Let R:H→H∗ be the Riesz isomorphism with
respect to (⋅,⋅)H. As j is a dense embedding the
adjoint j∗:H∗→(V∩jH)∗ and therefore
e:=j∗Rj:V∩jH→(V∩jH)∗ are embeddings as
well. We call e the canonical embedding of
(V,H,j). Note that
[TABLE]
Remark 2.12
The notion of a pre-evolution triple generalizes the standard notion
of an evolution triple. Note that an evolution triple is a
pre-evolution triple, since (V,H,H,j,idH) is a compatible
couple. Moreover, the intersection embedding is the embedding j, and
we have V=V∩jH with norm equivalence
∥⋅∥V∼∥⋅∥V∩jH. Thus, if the
pre-evolution triple is an evolution triple we can just replace the
intersection V∩jH by V. On the other hand if (V,H,j) is a
pre-evolution triple, then (V∩jH,H,j) is an evolution triple.
2.3 Bochner-Lebesgue spaces
In this paragraph we collect some well known results concerning
Bochner-Lebesgue spaces, which will be used in the following. By
(X,∥⋅∥X) and (Y,∥⋅∥Y) we always denote Banach spaces, by I:=(0,T), with 0<T<∞, a finite
time interval and by \mathbfcalM(I,X) the vector space of Bochner measurable functions
from I into X.
Proposition 2.13
Let x:I→X be a function such that there
exists a sequence (xn)n∈N⊆\mathbfcalM(I,X) with
[TABLE]
for almost every t∈I. Then x∈\mathbfcalM(I,X).
Proof
We apply Pettis’ theorem (cf. (Yos80, , Chapter V, Theorem: (Pettis))) to obtain Lebesgue measurable sets
Nn⊆I, n∈N, such that I∖Nn are null sets
and xn(Nn) are separable. Thus, if we
replace X by the closure of
span{⋃n∈Nxn(Nn)},
it turns out that it suffices to treat the case of separable
X. For a proof of the latter one we refer to (Ru04, , Folgerung
1.10). □
Proposition 2.14
Let (X,∥⋅∥X) be a reflexive Banach space and 1<p<∞. If
the sequence (xn)n∈N⊆Lp(I,X) is bounded
and satisfies
[TABLE]
for almost every t∈I, then
xn⇀n→∞x in Lp(I,X).
Proof
It suffices to treat the case
x=0 in Lp(I,X). For arbitrary
x∗∈Lp′(I,X∗)≅(Lp(I,X))∗ we get
⟨x∗(t),xn(t)⟩X→n→∞0 for almost every t∈I. In particular, for Lebesgue measurable
E⊆I we obtain
[TABLE]
where we exploited the boundedness of
(xn)n∈N⊆Lp(I,X). Thus,
(⟨x∗(⋅),xn(⋅)⟩X)n∈N⊆L1(I) is uniformly integrable and Vitali’s theorem in conjunction
with the representation of the duality product in Bochner-Lebesgue
spaces yields
⟨x∗,xn⟩Lp(I,X)→n→∞0. □
Remark 2.15
The converse implication in Proposition 2.14 is in
general not true. This can be seen by the following easy example. Let
I=(0,2π), p∈(1,∞),
X=R and
(xn)n∈N⊆L∞(I,R), given via xn(t)=sin(nt)
for every t∈I and all n∈N. Then, there holds
xn⇀0 in
Lp(I,R)(n→∞), but not
xn(t)⇀0 for almost every t∈I(n→∞).
Definition 2.16 (Induced operator)
Let A(t):X→Y, t∈I, be a family of operators with the following properties:
(C.1)
A(t):X→Y is demi-continuous for
almost every t∈I.
(C.2)
A(⋅)x:I→Y is Bochner measurable for
all x∈X.
Then we define the induced operator\mathbfcalA:\mathbfcalM(I,X)→\mathbfcalM(I,Y) of {A(t)}t∈I by
[TABLE]
for almost every t∈I and all x∈\mathbfcalM(I,X).
In the case X=V and Y=V∗, where (V,H,j) is an evolution triple,
the well-definedness of the induced operator is proved in
Zei90B . The next lemma treats the general case.
Lemma 2.17
Let A(t):X→Y, t∈I, be a family of operators satisfying
(C.1) and (C.2). Then the induced
operator \mathbfcalA:\mathbfcalM(I,X)→\mathbfcalM(I,Y) is
well-defined.
Proof
For x∈\mathbfcalM(I,X) there exists a sequence
of simple functions
(sn)n∈N⊆S(I,X),
i.e., sn(t)=∑i=1knsinχEin(t),
where sin∈X, kn∈N and
Ein∈L1(I) with Ein∩Ejn=∅ for
i=j, which is converging almost everywhere to
x(t) in X. Due to
(C.2) \mathbfcalAsin=A(⋅)sin:I→Y and therefore also
[TABLE]
are Bochner measurable and converge almost everywhere weakly to
(\mathbfcalAx)(t) in Y due to
(C.1). Thus, Proposition 2.13 ensures
\mathbfcalAx∈\mathbfcalM(I,Y). □
The next proposition shows that linear and continuous operators
between Banach spaces transmit their properties to the induced
operator between Bochner-Lebesgue spaces.
Proposition 2.18
Let 1≤p≤∞ and let A:X→Y be linear and
continuous. Then the induced operator
\mathbfcalA
is well-defined, linear and continuous as an operator from
Lp(I,X) into Lp(I,Y). Furthermore, it
holds:
(i)
A(∫Ix(s)ds)=∫I(\mathbfcalAx)(s)ds in Y for all x∈Lp(I,X).
(ii)
If A:X→Y is additionally
injective, then \mathbfcalA:Lp(I,X)→Lp(I,Y) is
injective as well. In particular, the inverse function
\mathbfcalA−1:R(\mathbfcalA)→Lp(I,X) is
well-defined and satisfies
(\mathbfcalA−1y)(t)=A−1(y(t))
for almost every t∈I and all
y∈R(\mathbfcalA).
(iii)
If A:X→Y is an isomorphism, then
also \mathbfcalA:Lp(I,X)→Lp(I,Y) is an
isomorphism.
Proof
Concerning the well-definedness, linearity and boundedness including
point (i) we refer to (Yos80, , Chapter V, 5. Bochner’s Integral,
Corollary 2). The verification of assertions (ii) and (iii) is
elementary and thus omitted. □
The next remark examines how the concept of pull-back intersections transfer to the Bochner-Lebesgue level.
Remark 2.19 (Induced compatible couple)
Let (X,Y)=(X,Y,Z,eX,eY) be a compatible couple (cf. Definition
2.5) and 1≤p,q≤∞. In (BS88, , Chapter 3, Theorem 1.3) it is proved that the sum
R(eX)+R(eY)⊆Z equipped with the norm
[TABLE]
is a Banach space. Then both eX:X→R(eX)+R(eY) and
eY:Y→R(eX)+R(eY) are embeddings (cf. Definition
2.4) and therefore due to Proposition 2.18 also the
induced operators
[TABLE]
Consequently,
[TABLE]
is a compatible couple. In accordance with Definition 2.6,
the pull-back intersection
[TABLE]
where j:=eY−1eX, and the
corresponding intersection embedding
[TABLE]
is well-defined.
Next we give an alternative representation of pull-back intersections
of Bochner-Lebesgue spaces, from which we are able to deduce Bochner
measurability with respect to X∩jY directly.
Proposition 2.20
Let (X,Y) be a compatible couple and 1≤p≤q≤∞. Then
[TABLE]
is a compatible couple, where j is defined in
Remark 2.19. Thus,
Lp(I,X∩jY)∩jLq(I,Y) and
j:Lp(I,X∩jY)∩jLq(I,Y)→Lq(I,Y) are
well-defined. In particular, it holds
[TABLE]
with norm equivalence.
Proof
As j:X∩jY→Y is an embedding, the induced operator
j:Lp(I,X∩jY)→Lp(I,Y) is an
embedding as well, due to Proposition 2.18. Therefore,
[TABLE]
is a compatible couple, and
Lp(I,X∩jY)∩jLq(I,Y) and
j:Lp(I,X∩jY)∩jLq(I,Y)→Lq(I,Y) are
well-defined. Proposition 2.18 also implies
(j−1y)(t)=j−1(y(t))=eX−1eY(y(t))=(eX−1eYy)(t) for almost every t∈I and all
y∈R(j)=R(eY−1eX),
i.e., j−1=eX−1eY on
R(j). From the latter and Definition 2.6 we
obtain
[TABLE]
The verification of the stated norm equivalence is an elementary
calculation and thus omitted. □
2.4 Evolution equations
For a pre-evolution triple (V,H,j), I:=(0,T), with 0<T<∞, and 1<p<∞ we set
[TABLE]
Definition 2.21
Let (V,H,j) be a pre-evolution triple and 1<p<∞. A
function x∈\mathbfcalX possesses a
generalized time derivative with respect to the canonical
embedding e of (V,H,j) if there exists a function
w∈\mathbfcalX∗ such that
[TABLE]
for all v∈V∩jH and φ∈C0∞(I). As this function w∈\mathbfcalX∗ is unique (cf. (Zei90A, , Proposition 23.18)),
dtdex:=w is well-defined. By
[TABLE]
we denote the Bochner-Sobolev space with respect to e.
Proposition 2.22
Let (V,H,j) be a pre-evolution triple and 1<p<∞. Then it holds:
(i)
The space \mathbfcalW forms a Banach space equipped with the norm
[TABLE]
(ii)
Given x∈\mathbfcalW the
function jx∈Lp(I,H), given
via
(jx)(t):=j(x(t))
for almost every t∈I, possesses a unique representation
in C0(I,H) and the resulting mapping
j:\mathbfcalW→C0(I,H) is an embedding.
(iii)
Generalized integration by parts formula: It holds
[TABLE]
for all x,y∈\mathbfcalW and
t,t′∈I with t′≤t.
Proof
A straightforward adaption of (Zei90A, , Proposition 23.23),
since (V∩jH,H,j) is an evolution triple. □
Definition 2.23 (Evolution equation)
Let (V,H,j) be a pre-evolution triple and 1<p<∞. Moreover, let
y0∈H be an initial value,
f∈\mathbfcalX∗ a right-hand side and
\mathbfcalA:\mathbfcalX∩j\mathbfcalY→\mathbfcalX∗
an operator. Then the initial value problem
[TABLE]
is said to be an evolution equation. The initial condition
has to be understood in the sense of the unique continuous
representation jy∈C0(I,H)
(cf. Proposition 2.22 (ii)).
3 Bochner pseudo-monotonicity and Bochner coercivity
In this section we introduce the notions Bochner pseudo-monotonicity and Bochner coercivity.
Definition 3.1 (Bochner pseudo-monotonicity)
Let (V,H,j) be a pre-evolution triple and 1<p<∞. An
operator
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)⊇\mathbfcalX∩j\mathbfcalY
is said to be Bochner pseudo-monotone if for a sequence
(xn)n∈N⊆\mathbfcalX∩j\mathbfcalY from
[TABLE]
and
[TABLE]
it follows that
⟨\mathbfcalAx,x−y⟩\mathbfcalX≤liminfn→∞⟨\mathbfcalAxn,xn−y⟩\mathbfcalX
for all y∈\mathbfcalX.
We will see in the proof of Theorem 4.1 that
(3.2)–(3.5) are natural properties of a sequence
(xn)n∈N⊆\mathbfcalX∩j\mathbfcalY coming from an
appropriate Galerkin approximation of (2.24), if \mathbfcalA
satisfies appropriate additional assumptions. In fact,
(3.2) usually is a consequence of the coercivity of
\mathbfcalA, (3.3) stems from the time derivative, while
(3.4) and (3.5) follow directly from the Galerkin
approximation.
Remark 3.6
One easily sees, that each pseudo-monotone operator
\mathbfcalA:\mathbfcalX→\mathbfcalX∗ is Bochner
pseudo-monotone with D(\mathbfcalA)=\mathbfcalX.
Note that converse is not true in
general. In fact, there exist Bochner pseudo-monotone operators
which are not pseudo-monotone. This can be seen by the following
example.
Let I=(0,T), with 0<T<∞,
V=W0,div1,p(Ω), p>3, H=Ldiv2(Ω),
\mathbfcalX=Lp(I,V), \mathbfcalY=L∞(I,H) and let
B:V→V∗ be the convective term, defined through
⟨Bv,w⟩V=∫Ωv⊗v:Dwdx for all v,w∈V. Then, B:V→V∗ is
compact, and thus pseudo-monotone. The unsteady convective term
\mathbfcalB:\mathbfcalX→\mathbfcalX∗, given via
(\mathbfcalBx)(t):=B(x(t)) in V∗
for almost every t∈I and all x∈\mathbfcalX,
is well-defined but neither compact nor pseudo-monotone. In fact, let
v,w∈V be fixed with ⟨Bv,w⟩V<0 and
(xn)n∈N⊆\mathbfcalX, given
via xn(t)=sin(nt)v for every
t∈I and n∈N. Then
xn⇀0 in \mathbfcalX(n→∞)
and limsupn→∞⟨\mathbfcalBxn,xn−0⟩\mathbfcalX=0, since
⟨\mathbfcalBxn,xn⟩\mathbfcalX=0. For
y(⋅):=w∈\mathbfcalX it holds
liminfn→∞⟨\mathbfcalBxn,xn−y⟩\mathbfcalX=π⟨Bv,w⟩V<0=⟨\mathbfcalB0,0−y⟩\mathbfcalX,
i.e., \mathbfcalB is not pseudo-monotone, and thus also not compact. We
emphasize that even
xn⇁∗0 in
L∞(I,V)(n→∞), but xn(t)⇀0 in H for
almost every t∈I(n→∞) is not satisfied, which is the
additional requirement in the Bochner pseudo-monotonicity.
On the other hand, \mathbfcalB:\mathbfcalX→\mathbfcalX∗ is Bochner
pseudo-monotone. If (xn)n∈N⊆\mathbfcalX∩j\mathbfcalY satisfies (3.2)–(3.5), then we
infer from Landes’ and Mustonen’s compactness principle
(cf. (LM87, , Propositon 1)) that
xn→x almost everywhere in
I×Ω(n→∞). As
\mathbfcalX∩j\mathbfcalY↪Lρ(I×Ω), where ρ=35p>2p′, we thus gain
xn⊗xn→x⊗x in Lp′(I×Ω)(n→∞), which in turn implies
\mathbfcalBxn→\mathbfcalBx in
\mathbfcalX∗ and therefore
⟨\mathbfcalBx,x−y⟩\mathbfcalX≤liminfn→∞⟨\mathbfcalBxn,xn−y⟩\mathbfcalX
for any y∈\mathbfcalX.
The convective term is for p>511 well-defined as an
operator
\mathbfcalB:\mathbfcalX∩j\mathbfcalY→\mathbfcalX∗,
as can be easily checked by Hölder’s inequality. Note that the
above argumentation works also for p>511, since
ρ=35p>2p′. Thus,
\mathbfcalB:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗
with D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY
is Bochner pseudo-monotone for p>511.
Pseudo-monotonicity possesses two essential properties. On
the one hand, if A:X→X∗ is pseudo-monotone,
(xn)n∈N⊆X satisfies
(2.2)–(2.3) and
(Axn)n∈N⊆X∗ is bounded, then
Axn⇀n→∞Ax in X∗. On the other
hand, pseudo-monotonicity is stable under summation, in the sense that
the sum of two pseudo-monotone operators is pseudo-monotone again. We
will see that Bochner pseudo-monotonicity also possesses these two
essential properties.
Proposition 3.7
Let (V,H,j) be a pre-evolution triple, 1<p<∞ and
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ be
Bochner pseudo-monotone. Then it holds:
(i)
If a sequence
(xn)n∈N⊆\mathbfcalX∩j\mathbfcalY and
x∈\mathbfcalX∩j\mathbfcalY satisfy
(3.2)–(3.5), and if
(\mathbfcalAxn)n∈N⊆\mathbfcalX∗ is bounded, then
\mathbfcalAxn⇀n→∞\mathbfcalAx
in \mathbfcalX∗.
(ii)
If
\mathbfcalB:D(\mathbfcalB)⊆\mathbfcalX→\mathbfcalX∗
is Bochner pseudo-monotone, then
\mathbfcalA+\mathbfcalB:D(\mathbfcalA)∩D(\mathbfcalB)→\mathbfcalX∗
is Bochner pseudo-monotone.
Proof
ad (i) Since
\mathbfcalX∗ is reflexive, we obtain a subsequence
(\mathbfcalAxn)n∈Λ⊆\mathbfcalX∗ with Λ⊆N and
ξ∈\mathbfcalX∗ such that
\mathbfcalAxn⇀n→∞ξ
in \mathbfcalX∗(n∈Λ). This, the Bochner
pseudo-monotonicity of
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗
and (3.5) imply
[TABLE]
for all y∈\mathbfcalX and therefore
\mathbfcalAx=ξ in
\mathbfcalX∗. As this argumentation stays valid for each
subsequence of
(\mathbfcalAxn)n∈N⊆\mathbfcalX∗, \mathbfcalAx∈\mathbfcalX∗
is a weak accumulation point of each subsequence of
(\mathbfcalAxn)n∈N. Thus, the standard convergence principle (cf. (GGZ74, , Kap. I, Lemma 5.4)) yields
the assertion.
ad (ii) Let (xn)n∈N⊆\mathbfcalX∩j\mathbfcalY satisfy
(3.2)–(3.4) and
limsupn→∞⟨(\mathbfcalA+\mathbfcalB)xn,xn−x⟩\mathbfcalX≤0. Set an:=⟨\mathbfcalAxn,xn−x⟩\mathbfcalX and
bn:=⟨\mathbfcalBxn,xn−x⟩\mathbfcalX for
n∈N. Then, it holds limsupn→∞an≤0 and limsupn→∞bn≤0. In fact, suppose on the contrary, e.g. that
limsupn→∞an=a>0. Then, there exists a subsequence such that
ank→a(k→∞), and therefore limsupk→∞bnk≤limsupk→∞ank+bnk−limk→∞ank≤−a<0,
i.e., a contradiction, since then the Bochner pseudo-monotonicity of
\mathbfcalB:D(\mathbfcalB)⊆\mathbfcalX→\mathbfcalX∗
implies 0≤liminfn→∞,n∈Λbn<0. Thus, we have limsupn→∞an≤0 and limsupn→∞bn≤0, and the Bochner pseudo-monotonicity of the operators
\mathbfcalA and \mathbfcalB
provides ⟨\mathbfcalAx,x−y⟩\mathbfcalX≤liminfn→∞⟨\mathbfcalAxn,xn−y⟩\mathbfcalX and
⟨\mathbfcalBx,x−y⟩\mathbfcalX≤liminfn→∞⟨\mathbfcalBxn,xn−y⟩\mathbfcalX. Summing these
inequalities yields the assertion. □
Definition 3.8 (Bochner coercivity)
Let (V,H,j) be a pre-evolution triple and 1<p<∞. An
operator
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗
with D(\mathbfcalA)⊇\mathbfcalX∩j\mathbfcalY
is said to be
(i) Bochner coercive with respect to
f∈\mathbfcalX∗ and x0∈H
if there
exists a constant M:=M(f,x0,\mathbfcalA)>0 such
that for all
x∈\mathbfcalX∩j\mathbfcalY
from
[TABLE]
it follows that ∥x∥\mathbfcalX∩j\mathbfcalY≤M.
(ii) Bochner coercive
if it is Bochner coercive with
respect to f and x0 for all
f∈\mathbfcalX∗ and x0∈H.
Note that Bochner coercivity, similar to semi-coercivity
(cf. Rou05 ) in conjunction with Gronwall’s inequality, takes
into account the information from the operator and the time
derivative. In fact, Bochner coercivity is a more general property. In
the context of the main theorem on pseudo-monotone perturbations of
maximal monotone mapping (cf. (Zei90B, , §32.4.)), which implies
Theorem 1.3, Bochner coercivity is phrased in the spirit of a
local coercivity444A:D(A)⊆V→V∗ is said to be
coercive (cf. (Zei90B, , §32.4.)) with respect to f∈V∗, if
D(A) is unbounded and there exists a constant R>0, such that for
v∈V from ⟨Av,v⟩V≤⟨f,v⟩V it
follows ∥v∥V≤R, i.e., all elements whose images with
respect to A do not grow beyond the data f in this weak sense
are contained in a fixed ball in V. type condition of
dtde+\mathbfcalA:\mathbfcalW⊆\mathbfcalX→\mathbfcalX∗. Being more precise, if
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ is Bochner coercive with respect to
f∈\mathbfcalX∗ and x0∈H, then
for x∈\mathbfcalW from
∥(jx)(0)∥H≤∥x0∥H, i.e.,
⟨dtdex,x⟩\mathbfcalX≥−21∥x0∥H2, and
[TABLE]
it follows ∥x∥\mathbfcalX∩j\mathbfcalY≤M, since (3.10) is just (3.9). In other words, if the image of x∈\mathbfcalW with respect to dtde and \mathbfcalA is bounded by the data x0, f in this weak sense, then x is contained in a fixed ball in \mathbfcalX∩j\mathbfcalY. We chose (3.9) instead of (3.10) in Definition 3.8, since x∈\mathbfcalX∩j\mathbfcalY is not admissible in (3.10).
Apart from that, there is a relation between Bochner coercivity and coercivity in the sense of Definition 2.1. In fact, in the case of
bounded operators
\mathbfcalA:\mathbfcalX→\mathbfcalX∗, Bochner
coercivity extends the standard concept of coercivity.
Lemma 3.11
Let (V,H,j) be a pre-evolution triple and 1<p<∞. If the
operator \mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY
is coercive and bounded, then \mathbfcalA is Bochner coercive.
Proof
It suffices to show that
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ is Bochner coercive with respect to 0∈\mathbfcalX∗ and x0∈H. For
f∈\mathbfcalX∗∖{0}, we
consider the shifted operator
\mathbfcalA:=\mathbfcalA−f:D(\mathbfcalA)⊂\mathbfcalX→\mathbfcalX∗ which is still coercive and
bounded. Therefore, \mathbfcalA is Bochner coercive
with respect to 0∈\mathbfcalX∗ and x0∈H, and we conclude
that \mathbfcalA is Bochner coercive. To show that
\mathbfcalA:\mathbfcalX∩j\mathbfcalY→\mathbfcalX∗ is Bochner coercive with respect to
0 and x0, we assume
that
x∈\mathbfcalX∩j\mathbfcalY
satisfies for almost every t∈I
[TABLE]
Since
\mathbfcalA:D(\mathbfcalA)⊂\mathbfcalX→\mathbfcalX∗ is coercive there exists a constant
R:=R(\mathbfcalA)>0 such that
⟨\mathbfcalAw,w⟩\mathbfcalX≥∥w∥\mathbfcalX for all
w∈D(\mathbfcalA)⊇\mathbfcalX∩j\mathbfcalY
such that ∥w∥X≥R. Next, we define
M0:=max{R,21∥x0∥H2}>0 and suppose that
∥x∥X>M0≥R. Therefore, using the
coercivity and (3.12), we conclude
M0<∥x∥X≤⟨\mathbfcalAx,x⟩X≤21∥x0∥H2≤M0, which is a contradiction. Thus,
∥x∥X≤M0 has to be valid. As
\mathbfcalA:D(\mathbfcalA)⊂\mathbfcalX→\mathbfcalX∗ is bounded there exists a constant
Λ:=Λ(M0)>0 such that
∥\mathbfcalAw∥\mathbfcalX∗≤Λ for
all
w∈\mathbfcalX∩j\mathbfcalY
with ∥w∥\mathbfcalX≤M0. This and
(3.12) imply
∥jx∥\mathbfcalY2≤∥x0∥H2+2ΛM0, which yields
∥x∥\mathbfcalX∩j\mathbfcalY≤M0+(∥x0∥H2+2ΛM0)1/2=:M. □
The following proposition provides sufficient conditions on a time-dependent family of operators such that the induced operator is bounded, Bochner pseudo-monotone and Bochner coercive.
Proposition 3.13
Let (V,H,j) be a pre-evolution triple and
1<p<∞. Furthermore, let A(t):V∩jH→(V∩jH)∗, t∈I, be a family of
operators satisfying (C.1) and
(C.2). Then it holds:
For some non-negative
functions α,γ∈Lp′(I), β∈L∞(I)
and a non-decreasing function
B:R≥0→R≥0
holds
[TABLE]
for almost every t∈I and all v∈V∩jH.
then the induced operator
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY is
well-defined. Moreover, \mathbfcalA maps bounded sets in
\mathbfcalX∩j\mathbfcalY into bounded
sets in \mathbfcalX∗, i.e., \mathbfcalA viewed as an operator from \mathbfcalX∩j\mathbfcalY into \mathbfcalX∗ is bounded.
(ii)
If in addition {A(t)}t∈I
satisfies (C.3), (C.4) and (C.5), where
(C.4)
A(t):V∩jH→(V∩jH)∗ is
pseudo-monotone for almost every t∈I.
(C.5)
For some constant
c0>0, non-negative functions
c1,c2∈L1(I,R≥0) and a non-decreasing
function
C:R≥0→R≥0
holds
[TABLE]
for almost every t∈I and all v∈V∩jH.
then \mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY is Bochner
pseudo-monotone.
(iii)
If in addition {A(t)}t∈I
satisfies (C.3), (C.4) and (C.5) with C(s)=s2, then
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY is Bochner coercive.
We emphasize that in applications the conditions
(C.1), (C.2), (C.4)
and (C.5) are usually directly deducible from the
corresponding steady problem given trough the operator
A(t):V∩jH→(V∩jH)∗ for fixed t∈I. Only the
verification of (C.3) sometimes causes some moderate
effort. These circumstances are illustrated in the Examples 5.1
and 5.2.
Proof
ad (i)1. Well-definedness: Due to Lemma
2.17 the induced operator
\mathbfcalA:\mathbfcalM(I,V∩jH)→\mathbfcalM(I,(V∩jH)∗) is well-defined. Then,
well-definedness of
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY follows
from the estimate
[TABLE]
for all x∈\mathbfcalX∩j\mathbfcalY,
where we used (C.3).
2. Boundedness: The boundedness of
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY also follows
from the estimate (3.14).
ad (ii) The presented proof is a generalization of (BR17, , Lemma 4.2)
and uses ideas from LM87 ; Hir1 ; Hir2 ; Shi97 . Our approach
completely avoids additional technical assumptions on the spaces, as
e.g. the existence of certain projections, which were present in
previous investigations. We proceed in four steps:
1. Collecting information: Let
(xn)n∈N⊆\mathbfcalX∩j\mathbfcalY be a sequence
satisfying (3.2)–(3.5). Thus,
(xn)n∈N
is bounded in \mathbfcalX∩j\mathbfcalY, and
due to (i) the sequence (\mathbfcalAxn)n∈N is bounded in
\mathbfcalX∗. From the reflexivity of \mathbfcalX∗ we obtain a
subsequence (xn)n∈Λ with
Λ⊆N and
ξ∈\mathbfcalX∗ such that
\mathbfcalAxn⇀n→∞ξ in \mathbfcalX∗(n∈Λ) and
limn→∞n∈Λ⟨\mathbfcalAxn,xn⟩\mathbfcalX=liminfn→∞⟨\mathbfcalAxn,xn⟩\mathbfcalX. Thus, we
have for all y∈\mathbfcalX
[TABLE]
Due to (3.4) there exists a subset
E⊆I such that I∖E is a null set and for all t∈E
for almost every t∈I. From
∥jxn∥\mathbfcalY≤K for some
constant K>0, which follows from (3.3), and the ε-Young inequality with
k:=k(ε,p):=(p′ε)1−p/p and
ε:=(B(K)∥β∥L∞(I))−p′c0/2 we
further obtain for all n∈Λ and for almost every t∈I
[TABLE]
where μx(t):=c1(t)C(K)+c2(t)+k∥x(t)∥V∩jHp+(B(K)α(t)+γ(t))∥x(t)∥V∩jH∈L1(I). Next, we define
[TABLE]
Apparently, I∖S is a null set.
2. Intermediate objective: Our next objective is to verify for all t∈S
[TABLE]
To this end, let us fix an arbitrary
t∈S and define
[TABLE]
We assume without loss of generality that Λt
is not finite. Otherwise, (∗∗)t would already hold true
for this specific t∈S and nothing would be left to
do. But if Λt is not finite, then
Thanks to (3.16) and
(3.18), Proposition 2.9 (iv) yields that
[TABLE]
The pseudo-monotonicity of A(t):V∩jH→(V∩jH)∗
finally guarantees
[TABLE]
Due to
⟨A(t)(xn(t)),xn(t)−x(t)⟩V∩jH≥0 for all
n∈Λ∖Λt,
(∗∗)t holds for all t∈S.
3. Switching to the image space level: In this passage we
verify the existence of a subsequence
(xn)n∈Λ0⊆\mathbfcalX∩j\mathbfcalY
with Λ0⊆Λ such that for almost every t∈I
[TABLE]
As a consequence, we are in a position to exploit the almost
everywhere pseudo-monotonicity of the operator family. Thanks to
⟨A(t)(xn(t)),xn(t)−x(t)⟩V∩jH≥−μx(t) for
all t∈S and n∈Λ, Fatou’s lemma
(cf. (Rou05, , Theorem 1.18)) is applicable. It yields, also using
(∗∗)t and (3.5)
[TABLE]
Let us define hn(t):=⟨A(t)(xn(t)),xn(t)−x(t)⟩V∩jH. Then (∗∗)t and (3.20) read:
[TABLE]
As s↦s−:=min{0,s} is continuous and non-decreasing we
deduce from (3.21) that
[TABLE]
i.e., hn(t)−→n→∞0(n∈Λ) for all t∈S. Since
0≥hn(t)−≥−μx(t) for all t∈S and
n∈Λ, Vitali’s theorem yields
hn−→n→∞0 in L1(I). From
the latter, ∣hn∣=hn−2hn− and (3.22), we
conclude that hn→n→∞0 in
L1(I). Thus, there exists a subsequence
(xn)n∈Λ0
with Λ0⊆Λ and a subset F⊆I such
that I∖F is a null set and for all t∈F
for all t∈S∩F. The relations
(3.23) and (3.24) imply (3.19).
4. Switching to the Bochner-Lebesgue level: In view of the
pseudo-monotonicity of the operators A(t):V∩jH→(V∩jH)∗ for
all t∈S∩F we deduce from
(3.19) that
[TABLE]
almost every t∈I and all y∈\mathbfcalX. As
in step 1 we verify that
there exists μy∈L1(I) such that
[TABLE]
for almost every t∈I and all n∈Λ0. Thus,
we can apply Fatou’s lemma once more, exploit (3.15) and deduce further that
[TABLE]
for all y∈\mathbfcalX,
i.e., \mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY
is Bochner pseudo-monotone.
ad (iii) As in the proof of Lemma 3.11 it suffices to show that \mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY
is Bochner coercive with respect to the origin
0∈\mathbfcalX∗ and x0∈H. To show that
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY is Bochner coercive with respect to
0 and x0, we assume
that
x∈\mathbfcalX∩j\mathbfcalY
satisfies for almost every t∈I
[TABLE]
Using (C.5) with C(s)=s2 in
(3.25) we get for almost every t∈I
for all t∈I. (3.27) together with
(3.28) reads
∥x∥Lp(I,V)∩j\mathbfcalY≤(K1/c0)p1+K021. Due to the norm
equivalence
∥⋅∥Lp(I,V)∩j\mathbfcalY∼∥⋅∥\mathbfcalX∩j\mathbfcalY
(cf. Proposition 2.20) we conclude the Bochner coercivity with
respect to 0∈\mathbfcalX∗ and x0∈H of
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY.
□
4 Existence theorem
Theorem 4.1 (Main theorem)
Let (V,H,j) be a pre-evolution triple, 1<p<∞ and
A(t):V∩jH→(V∩H)∗, t∈I, a family of operators such that
(C.1)–(C.3) are fulfilled and
that the induced operator \mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY
is Bochner pseudo-monotone and Bochner coercive with respect to
f∈\mathbfcalX∗ and y0∈H. Then exists a solution
y∈\mathbfcalW of the evolution
equation (2.24), i.e.,
[TABLE]
From Lemma 3.13 we immediately obtain the following more applicable version of Theorem 4.1.
Corollary 4.2
Let (V,H,j) be an pre-evolution triple, 1<p<∞ and
A(t):V∩jH→(V∩H)∗, t∈I, a family of operators such that
(C.1)–(C.5) are fulfilled with
C(s)=s2 in (C.5). Then for arbitrary
y0∈H and f∈\mathbfcalX∗ there
exists a solution y∈\mathbfcalW of the evolution
equation (2.24).
Remark 4.3
If (V,H,j) is an evolution triple, the assertions of Theorem
4.1 and Corollary 4.2 remain true as (V,H,j) is a
pre-evolution triple as well. In addition, one can replace
V∩jH by V in Theorem 4.1 and Corollary 4.2 as
V=V∩jH with norm equivalence.
As in the proofs of Lemma 3.11 and Proposition 3.13 (i) it suffices anew to treat the special case f=0
in \mathbfcalX∗.
1. Galerkin approximation:
Based on the separability of V∩jH
(cf. Proposition 2.9 (i)) there exists a sequence
(vi)i∈N⊆V∩jH which is dense in
V∩jH. Due to the density of R(j) in H and the Gram-Schmidt
process we can additionally assume that
(jvi)i∈N⊆H is dense and orthonormal
in H. We set Vn:=span{v1,...,vn} equipped with
∥⋅∥V and Hn:=j(Vn) equipped with (⋅,⋅)H.
Denote by jn:Vn→Hn the restriction of j to Vn and by
Rn:Hn→Hn∗ the corresponding Riesz isomorphism with respect to
(⋅,⋅)H. As jn is an isomorphism, the triple
(Vn,Hn,jn) is an evolution triple with canonical embedding
en:=jn∗Rnjn:Vn→Vn∗. Moreover, we set
[TABLE]
Then Proposition 2.22 provides the embedding jn:\mathbfcalWn→\mathbfcalYn and the generalized
integration by parts formula with respect to \mathbfcalWn.
We are seeking approximative solutions
yn∈\mathbfcalWn which solve the Galerkin system
[TABLE]
where y0n:=∑i=1n(y0,jvi)Hjvi.
2. Existence of Galerkin solutions:
It is straightforward to check that yn∈\mathbfcalWn iff
[TABLE]
Thus, defining fn:I×Rn→Rn
by
fn(t,α):=(⟨A(t)(∑k=1nαkvk),vi⟩V∩jH)i=1,...,n
for almost every t∈I and all
α=(αi)i=1,...,n∈Rn, one
sees, that (4.4) can be re-written as a system of ordinary
differential equations
[TABLE]
From the assumptions (C.1) and (C.2)
we deduce that the system (4.6) satisfies the standard
Carathéodory conditions and by assumption (C.3)
additionally a local majorant condition required in Carathéodory’s
existence theorem (cf. (Hal80, , Theorem 5.2)). The latter provides
a maximal time horizon Tn∈(0,T] and an absolutely continuous
solution
αn:[0,Tn)→Rn of
(4.6) restricted to [0,Tn). From
(C.3) and
αn∈C0([0,t],Rn) for all
0<t<Tn we infer that
dtdαn=fn(⋅,αn)∈Lp′((0,t),Rn) for all 0<t<Tn. We set
yn:=∑i=1nαinvi. Then
yn∈Wen1,p,p′((0,t),Vn,Vn∗) for
all 0<t<Tn (cf. (4.5)). Suppose Tn<T. We integrate the
inner product of (4.6) and
αn(s)∈Rn with respect to
s∈[0,t], where 0<t≤Tn, apply the generalized
integration by parts formula with respect to
Wen1,p,p′((0,t),Vn,Vn∗)
(cf. Proposition 2.22), and use jn=j
on Wen1,p,p′((0,t),Vn,Vn∗), to obtain
[TABLE]
for all t∈[0,Tn). By
yn:I→Vn we denote
the extension of yn:[0,Tn)→Vn
by zero outside [0,Tn). Thus, our extension satisfies
[TABLE]
for all t∈I. From (4.8) and the Bochner
coercivity with respect to 0∈\mathbfcalX∗ and y0∈H of
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with
D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY
we obtain an n-independent constant M>0 such that
[TABLE]
In consequence, αn∈L∞((0,Tn),Rn) and therefore
dtdαn=fn(⋅,αn)∈Lp′((0,Tn),Rn) due to (C.3). The fundamental theorem of
calculus now yields αn∈C0([0,Tn],Rn). Hence, we can apply
Caratheodory’s theorem once more with initial value
αn(Tn)∈Rn, to obtain an extension of
αn to a solution of (4.6) on
[0,Tn+ε], with ε>0. This
contradicts the maximality of Tn>0 and we conclude Tn=T. In
particular, the estimates
[TABLE]
hold true, where we used the boundedness of
\mathbfcalA:\mathbfcalX∩j\mathbfcalY→\mathbfcalX∗
according to Lemma 3.13 (i) for the second estimate.
3. Passage to the limit:
3.1 Convergence of the Galerkin solutions:
From the a-priori estimates (4.9) we obtain a not relabelled
subsequence (yn)n∈N⊆\mathbfcalX∩j\mathbfcalY as well as elements
y∈\mathbfcalX∩j\mathbfcalY and
ξ∈\mathbfcalX∗ such that
[TABLE]
3.2 Regularity and trace of the weak limit:
Let v∈Vk, k∈N, and
φ∈C∞(I) with φ(T)=0. Testing
(4.4) for n≥k by
vφ∈\mathbfcalXk⊆\mathbfcalXn and a
subsequent application of the generalized integration by parts formula
with respect to \mathbfcalWn (cf. Proposition 2.22) yields
[TABLE]
By passing with n≥k to infinity, using (4.10) and
y0n→n→∞y0 in
H, we obtain
[TABLE]
for all v∈⋃k∈NVk and
φ∈C∞(I) with φ(T)=0. Choosing
φ∈C0∞(I) in (4.11), we have due to Definition 2.21 and Proposition 2.22
[TABLE]
Thus, we are allowed to apply the generalized integration by parts formula with respect to \mathbfcalW in
(4.11) in the case φ∈C∞(I) with
φ(T)=0 and φ(0)=1, which yields for all v∈⋃k∈NVk
Now we show that
(jyn)(t)⇀n→∞(jy)(t) in H for almost every t∈I, which is the
crucial new condition of Bochner pseudo-monotonicity compared to
standard pseudo-monotonicity, apart from the boundedness in
\mathbfcalY. To this end, let us fix an arbitrary
t∈(0,T]. From the a-priori estimate
∥(jyn)(t)∥H≤M for all
t∈I and n∈N (cf. (4.9)) we
obtain the existence of a subsequence
((jyn)(t))n∈Λt⊆H with Λt⊆N, initially
depending on this fixed t, and an element
yΛt∈H such that
[TABLE]
For v∈Vk, k∈Λt, and
φ∈C∞(I) with φ(0)=0 and
φ(t)=1, we test (4.4) for n≥k
(n∈Λt) by
vφχ[0,t]∈\mathbfcalXk⊆\mathbfcalXn, use the
generalized integration by parts formula in \mathbfcalWn, and
(2.11), to obtain for all
n≥k with n∈Λt
[TABLE]
By passing for n≥k with n∈Λt to
infinity, using (4.10) and (4.15), we obtain
[TABLE]
for all v∈⋃k∈ΛtVk. From
(4.12) and the generalized integration by parts formula in \mathbfcalW we also
obtain
[TABLE]
for all v∈⋃k∈ΛtVk. Thanks to
Vk⊆Vk+1 for all k∈N we get
⋃k∈ΛtVk=⋃k∈NVk. Thus,
j(⋃k∈ΛtVk) is dense in H and
(4.16) yields that
(jy)(t)=yΛt
in H. Consequently, we deduce from (4.15) that
[TABLE]
As this argumentation stays valid for each weakly convergent subsequence of
((jyn)(t))n∈N⊆H,
(jy)(t)∈H is weak accumulation point of
each weakly converging subsequence of
((jyn)(t))n∈N⊆H. The standard convergence principle (cf. (GGZ74, , Kap. I, Lemma 5.4)) yields
Λt=N in (4.17).
This inequality together with
\eqrefeq:4.113, (4.14), (4.17) with
Λt=N in the case t=T, the weak lower
semi-continuity of ∥⋅∥H, the generalized integration by parts
formula in \mathbfcalW and (4.12)
yields
[TABLE]
As a result of (4.10), (4.17) with
Λt=N for all t∈I,
(4.18) and the Bochner pseudo-monotonicity of
\mathbfcalA:D(\mathbfcalA)⊆\mathbfcalX→\mathbfcalX∗ with D(\mathbfcalA)=\mathbfcalX∩j\mathbfcalY, Lemma 3.7 (i) finally provides
\mathbfcalAy=ξ in \mathbfcalX∗. This completes the proof of Theorem
4.1. □
5 Examples
In this section we give two prototypical examples to which Theorem 4.1 and the notions developed in Section 3 can be applied. We emphasize that the existence results given in these two examples are not new, see e.g. Lio69 ; BR17 . The following examples shall merely illustrate that the
conditions (C.1)–(C.5) are easily
verifiable and quite general, and in what way the scope of application
is extended by the treatment of pre-evolution triples.
Example 5.1 (Unsteady p-Navier-Stokes equation for p≥511)
Let Ω⊆R3 be a bounded domain,
I:=(0,T), with 0<T<∞. Moreover, let
V={v∈C0∞(Ω)3∣div v≡0},
V the closure of V with respect to
∥∇⋅∥Lp(Ω), H the closure of
V with respect to ∥⋅∥L2(Ω) and let
S,B:V→V∗ be defined as in the introduction. Then,
(V,H,id) is an evolution triple, A:=S+B:V→V∗
satisfies (C.1)–(C.5) with
C≡0 in (C.5) and its induced operator
\mathbfcalA:Lp(I,V)∩L∞(I,H)→Lp′(I,V∗) is
bounded, Bochner pseudo-monotone and coercive. In addition, for
arbitrary u0∈H and
f∈Lp′(I,V∗) there exists a solution
u∈We1,p,p′(I,V,V∗) of
[TABLE]
for all v∈V and φ∈C0∞(I) with
u(0)=u0 in H.
Proof
Clearly, (V,H,id) forms an evolution triple and A:V→V∗ is bounded, pseudo-monotone and demi-continuous, see e.g. (BR17, , Section 6), and thus satisfies
(C.1), (C.2) and (C.4). (C.5) with C≡0 immediately follows from ⟨Sv,v⟩V=∥v∥Vp and ⟨Bv,v⟩V=0 for every v∈V. For (C.3) we first note that ∥Sv∥V∗≤∥v∥Vp−1 and ∥Bv∥V∗≤∥v∥L2p′(Ω)2 for every v∈V.
If p≥3, then p−1≥2 and ∥v∥L2p′(Ω)≤c∥v∥V for all v∈V. Thus, using a2≤(1+a)p−1≤2p−2(1+ap−1) for all a≥0, we obtain ∥Bv∥V∗≤c(1+∥v∥Vp−1) for every v∈V.
If p∈[511,3), then by interpolation with ρ1=p∗1−θ+2θ, where ρ=p35, θ=52 and p∗=3−p3p, and using a6/5≤(1+a)p−1≤2p−2(1+ap−1) for all a≥0, as 56≤p−1, we obtain for all v∈V
[TABLE]
Since also ρ≥2p′, we infer ∥Bv∥V∗≤c∥v∥H54(1+∥v∥Vp−1) for every v∈V.
Altogether, A:V→V∗ satisfies (C.3) and meets the framework of Proposition 3.13 and Corollary 4.2, which in turn yield the assertion. □
Example 5.2 (Unsteady p-Laplace equation with compact perturbation for p∈(1,∞))
Let Ω⊆Rd be a bounded domain, I:=(0,T), with 0<T<∞,
and let b:I×Ω×R→R be a
function with the following properties:
(B.1)
b is measurable in its
first two variables and continuous in its third variable.
(B.2)
For some non-negative
functions C1∈Lp′(I,Lq(Ω)), q=min{2,(p∗)′}, C2∈Lp′(I,L∞(Ω)) and 1≤r<max{2,pdd+2} holds
[TABLE]
for almost every (t,x)∈I×Ω and all
s∈R.
(B.3)
For some functions
c1∈L1(I,L∞(Ω)) and
c2∈L1(I×Ω,R≥0) holds
[TABLE]
for almost every (t,x)∈I×Ω and all s∈R.
Moreover, set V=W01,p(Ω), H=L2(Ω) and let A0,B(t):V∩H→(V∩H)∗ be given via
[TABLE]
for almost every t∈I and all v,w∈V∩H. Then, (V,H,id) forms a pre-evolution triple, A(t):=A0+B(t):V∩H→(V∩H)∗, t∈I, satisfies (C.1)–(C.5) with C(s)=s2 in (C.5) and its induced operator \mathbfcalA:Lp(I,V)∩L∞(I,H)→Lp′(I,V∗) is bounded, Bochner pseudo-monotone and Bochner coercive. In addition, for arbitrary u0∈L2(Ω) and
f∈Lp′(I,(V∩H)∗)
there exists a solution
u∈We1,p,p′(I,V∩H,(V∩H)∗) of
[TABLE]
for all v∈V∩H and
φ∈C0∞(I) with u(0)=u0
in H. As C0∞(Ω) is dense in
V∩H we infer from (5.3) the
distributional identity
[TABLE]
Proof
Clearly,
(V,H,id)=(W01,p(Ω),L2(Ω),L1(Ω),id,id)
forms a pre-evolution triple. As A0:V∩H→(V∩H)∗ already meets the framework of
Corollary 4.2 (cf. (Ru04, , Lemmata 1.26 and 1.28)), it
remains to ensure that B(t):V∩H→(V∩H)∗ satisfies (C.1)–(C.4)
and A(t):V∩H→(V∩H)∗ the semi-coercivity
condition (C.5) with C(s)=s2. We
restrict ourselves to the case p\in(1,\frac{2d}{d+2}\big{]},
since the case p>d+22d is already treated in
(BR17, , Theorem 6.2) or (Rou05, , Proposition 8.37) with the
help of the evolution triple (V,H,id) and requires only obvious
modifications to adjust to our framework. From (B.1)
and (B.2) in conjunction with the theory of
Nemyckii operators (cf. (Rou05, , Theorem 1.43)) we deduce for
almost every t∈I the well-definedness and continuity of
Ft:Lρ(Ω)→L2(Ω), where
ρ:=max{1,2(r−1)}, given via (Ftv)(x):=b(t,x,v(x)) for
almost every x∈Ω and all v∈Lρ(Ω). In fact, using
(B.2) and (1+a)2(r−1)≤(1+a)ρ for
all a≥0, we obtain
[TABLE]
for almost every t∈I and all v∈V∩H. Due to ρ<2,
V↪↪L1(Ω) and Vitali’s theorem
we get V∩H↪↪Lρ(Ω),
i.e., idV∩H:V∩H→Lρ(Ω) is strongly continuous. From the
latter, B(t)=(idV∩H)∗Ft(idV∩H) and
the continuity of both
(idV∩H)∗:H→(V∩H)∗ and
Ft:Lρ(Ω)→L2(Ω) we infer that
B(t):V∩H→(V∩H)∗ is strongly continuous and
thus pseudo-monotone. Thus, we verified
(C.1), (C.4) and
(C.3) with B(s):=s2ρ,
α(t):=∥C2(t,⋅)∥L∞(Ω), β(t):=0 and
γ(t):=∥C1(t,⋅)∥L2(Ω)+C(Ω)∥C2(t,⋅)∥L∞(Ω)
(cf. (5.4)). Condition (C.2) is a
consequence of Fubini’s theorem. Using (B.3), the
semi-coercivity condition (C.5) follows by
[TABLE]
for almost all t∈I and all v∈V∩H. Altogether,
A(t):=A0+B(t):V∩H→(V∩H)∗, t∈I, meets the
framework of Proposition 3.13 and Corollary 4.2, which yield the
assertion. □
Acknowledgments
We would like to thank the referee for the helpful comments which
improved the presentation of the paper.
Bibliography23
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1(1) E. Bäumle and M. Růžička , Note on the existence theory for evolution equations with pseudo-monotone operators , Ric. Mat. 66 (2017), no. 1, 35––50.
2(2) C. Bennett and R. Sharpley , Interpolation of operators , Pure and Applied Mathematics, vol. 129, Academic Press, Inc., Boston, MA, 1988.
3(3) F. Boyer and P. Fabrie , Mathematical tools for the study of the incompressible Navier-Stokes equations and related models , Applied Mathematical Sciences, vol. 183, Springer, New York, 2013.
4(4) H. Brézis , Équations et inéquations non linéaires dans les espaces vectoriels en dualité , Annales de l’Institut Fourier 18 (1968), no. 1, 115–175 (fr).
5(5) F. E. Browder , Nonlinear elliptic boundary value problems , Bull. Amer. Math. Soc. 69 (1963), no. 6, 862–874.
6(6) F. E. Browder , Nonlinear maximal monotone operators in Banach space , Mathematische Annalen 175 (1968), no. 2, 89–113.
7(7) H. Gajewski, K. Gröger, and K. Zacharias , Nichtlineare Operatorgleichungen und Operatordifferentialgleichungen , Akademie-Verlag, Berlin, 1974.
8(8) J. Hale , Ordinary differential equations / [by] Jack K. Hale , SERBIULA (sistema Librum 2.0) (1980).