Resolvent Estimates for Elliptic Systems in Function Spaces of Higher Regularity
Robert Denk Michael Dreher
Konstanzer Schriften in Mathematik Nr. 265, Mai 2010
ISSN 1430-3558
© Fachbereich Mathematik und Statistik Universität Konstanz
Fach D 197, 78457 Konstanz, Germany
Konstanzer Online-Publikations-System (KOPS) URN: http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-119237
URL: http://kops.ub.uni-konstanz.de/volltexte/2010/11923/
Function Spaces of Higher Regularity
Robert Denk and Michael Dreher
Abstract. We consider parameter-elliptic boundary value problems and uniforma prioriestimates in Lp- Sobolev spaces of Bessel potential and Besov type. The problems considered are systems of uniform order and mixed-order systems (Douglis-Nirenberg systems). It is shown that compatibility conditions on the data are necessary for such estimates to hold. In particular, we consider the realization of the boundary value problem as an unbounded operator with the ground space being a closed subspace of a Sobolev space and give necessary and sufficient conditions for the realization to generate an analytic semigroup.
MSC2010 classification. 35G45, 47D06.
Keywords. Parameter-ellipticity, Douglis-Nirenberg systems, analytic semigroups.
1 Introduction
The aim of this paper is to establish resolvent estimates for parameter-elliptic boundary value problems in Lp-Sobolev spaces of higher order. A priori estimates involving parameter-dependent norms for parameter- elliptic or parabolic systems are known since long; classical works are, e.g., Agmon [1], Agranovich-Vishik [2] for scalar equations, and Geymonat-Grisvard [9], Roitberg-Sheftel [13] for systems. Further results on theLp-theory for mixed-order systems were obtained, e.g., by Faierman [7]. For pseudodifferential boundary value problems, we refer to the parameter-dependent calculus developed by Grubb [10].
Parameter-dependenta prioriestimates are motivated by their connection to operator theory: In the ground spaceLp, the estimate immediately implies a uniform resolvent estimate for theLp-realization of the boundary value problem. In particular, if the sector of parameter-ellipticity is large enough, i.e., if the problem is parabolic in the sense of Petrovskii, then the operator generates an analytic semigroup in Lp. Moreover, spectral properties and completeness of eigenfunctions can be obtained, see Denk-Faierman-M¨oller [4] and Faierman-M¨oller [8]. If the equation is given in the whole space, we obtain the generation of an analytic semigroup in the whole scale of Sobolev spaces. In fact, the operator even admits a bounded H∞-calculus which was shown for general mixed-order systems of pseudodifferential operators in Denk-Saal-Seiler [5].
Consider the boundary value problem ((A−λ)u=f, in Ω,
Bju=gj, on∂Ω, j= 1, . . . , M, (1.1)
in a bounded smooth domain Ω ⊂ Rd. Here A is a system of differential operators, and Bj is a vector of differential operators, and the number M of boundary conditions is determined by the order and the dimension of the systemA (see below for details). In the present paper we study the question under which additional (compatibility) assumptions on the right-hand side this boundary value problem has a unique solution satisfying uniform (inλ)a priori estimates. In particular, fors≥0 and 1< p <∞let us consider a closed linear subspaceY of the Sobolev spaceWps(Ω) as a ground space and define the realization of (1.1) as an unbounded operator A in Y with domain D(A) := {v ∈ Y:Av ∈ Y, Bjv = 0, j = 1, . . . , M}. In the particular cases= 0, the parameter-elliptic theory mentioned above yields the generation of an analytic semigroup in Lp(Ω), provided the sector of parameter-ellipticity is large enough. For s >0, however, the
1
2
R. Denk, M. Dreher
situation is more complicated. As an example, one may consider the Dirichlet-Laplacian4Din Y =Wp1(Ω) with domainD(4D) ={u∈Wp3(Ω) : u|∂Ω = 0}. This operator does not generate an analytic semigroup in Y; in fact, its resolvent decays as|λ|−1/2−1/2pas|λ| → ∞(see Nesensohn [12]). Roughly speaking, additional compatibility conditions have to be incorporated into the basic spaceY in order to obtain a decay of|λ|−1. Therefore, the question is to find equivalent conditions onY for whichAgenerates an analytic semigroup on Y. This question is fully answered by Theorem 3.5 below. We also study compatibility conditions for which the problem with inhomogeneous boundary data (1.1) is uniquely solvable with appropriatea prioriestimate for the solution. As a ground space, we consider subspaces of integer or non-integer Sobolev spaces both of Besov type and of Bessel potential type.
The question of generation of an analytic semigroup for parabolic equations was also studied by Guidetti [11] where higher order scalar equations are considered. Writing such an equation as a first order system, in [11] necessary and sufficient conditions for the unique solvability of the non-stationary problem are given.
Roughly speaking, in [11] the author observes that the order of the boundary operators has to be sufficiently large. This coincides with our conditions as in this case the trace conditions given in Theorem 3.5 are empty.
Whereas the equations in [11] have more general coefficients, the mixed-order system is of special structure (arising from a higher order equation), and the basic space is fixed. Our paper considers general mixed-order systems and the whole scale of Sobolev spaces.
2 Notation and Auxiliary Results
Let Ω be a bounded domain in Rd, d ≥2, with boundary Γ = ∂Ω∈ C∞. The Besov spaces are denoted by Bp,qs (Ω), for s∈ Rand 1 ≤p, q ≤ ∞, and the Bessel potential spaces are called Hps(Ω), for s ∈R and 1< p <∞. Then the Sobolev(–Slobodecky) spaces are
Wps=
(Hps :s∈N0, Bpps :s6∈N0, withs∈[0,∞) and 1< p <∞.
In this paper, Ksp(Ω) shall mean everywhere either the Bessel potential space Hps(Ω), or one of the Besov spacesBsp,q(Ω), 1< q <∞. Heres∈Rand 1< p <∞. Fors >1/p, we define the space Ks−1/pp;Γ of traces of functions fromKps(Ω) at the boundary Γ =∂Ω:
Ks−1/pp,Γ :=
(Bp,qs−1/p(∂Ω) :Ksp(Ω) =Bp,qs (Ω), Bp,ps−1/p(∂Ω) :Kps(Ω) =Hps(Ω).
To simplify later formulae, we set K0p,Γ :=Lp(Ω), although this is not the space of traces of functions from Hp1/p(Ω) orBp,q1/p(Ω), except whenq= 1. The trace operator on∂Ω, mapping functions fromC∞(Ω) to their boundary values, is called γ0.
We will write [·,·]θfor the complex interpolation method, and (·,·)θ,qfor the real interpolation method, where 0 ≤θ ≤1 and 1 ≤q≤ ∞. Then ∂xα maps continuously fromKsp(Ω) intoKs−|α|p (Ω), for all s∈ Rand all p∈(1,∞), and{Ksp(Ω)}s∈R forms an interpolation scale with respect to the complex interpolation method:
Ksp0(Ω),Ksp1(Ω)
θ=Kspθ(Ω), sθ= (1−θ)s0+θs1, 0≤θ≤1.
We will also make free use of the following: if a Banach spaceXθis an interpolation space of the pair (X0, X1) of orderθ, then
%1−θkfkθ≤C(%kfk0)1−θkfkθ1≤C(kfk1+%kfk0), %∈R+, f ∈X0∩X1. For detailed representations of the theory of function spaces, we refer the reader to [3] and [14].
Lemma 2.1. Suppose0≤σ0<1/p < σ1. Then we have the estimates
%1−θkγ0ukLp(∂Ω)≤C kukKσ1
p (Ω)+%kukKσ0 p (Ω)
, θ= 1/p−σ0 σ1−σ0
, (2.1)
%1−θkγ0ukLp(∂Ω)≤C kukBσ1
p,q(Ω)+%kukLp(Ω)
, θ= 1
pσ1
, (2.2)
for allu∈ Kσp1(Ω) and all %∈[1,∞).
Proof. In [14, Theorem 4.7.1], we findγ0∈ L(Bp,11/p(Ω), Lp(∂Ω)), hence we conclude that kγ0ukLp(∂Ω) ≤CkukB1/p
p,1(Ω). Now we have, for the aboveσ0,σ1,
Bp,qσ0(Ω), Bp,qσ1(Ω)
θ,1= Hpσ0(Ω), Hpσ1(Ω)
θ,1=Bp,11/p(Ω), θ= 1/p−σ0
σ1−σ0 ,
which brings us (2.1). And (2.2) follows from Bp,min(2,p)0 (Ω),→Lp(Ω),→Bp,max(2,p)0 (Ω)
and the interpolation identity (Bp,r0 (Ω), Bp,qσ1(Ω))θ,1=Bp,11/p(Ω) forr∈ {2, p}.
3 Main Results
3.1 Systems of Uniform Order
First, let A = (ajk(x, Dx))j,k=1,...,N be a matrix differential operator with ordajk ≤ m for all j, k. The coefficients ofajkare smooth on a neighborhood of Ω. IfAis a parameter-elliptic matrix differential operator in Ω, thenmN ∈2N, see [2]. Then let us be given differential operatorsBj=Bj(x, Dx) forj= 1, . . . , mN/2, with ordBj =rj ≤m−1. For λfrom a sectorL ⊂C with vertex at the origin, we consider the boundary value problem
((A−λ)u=f, in Ω,
γ0Bju=gj, on∂Ω, j= 1, . . . , mN/2, (3.1)
and its variant with homogeneous boundary data:
((A−λ)u=f, in Ω,
γ0Bju= 0, on∂Ω, j= 1, . . . , mN/2. (3.2)
We suppose that the operators (A, B1, . . . , BmN/2) constitute a parameter-elliptic boundary value problem on Ω in an open sectorL ofC.
Proposition 3.1. Let u be any function from Ks+mp (Ω) with s ∈[0,∞) but s 6∈N+ 1/p, and take λ∈C arbitrarily. Definef andgj by the right-hand sides of (3.1).
Then we have the inequality kfkKs
p(Ω)+
mN/2
X
j=1
kgjk
Ks+m−p,Γ rj−1/p+|λ|1+m1 min(s−rj−1/p,0)kgjk
Kmax(s−p,Γ rj−1/p,0)
≤C
kukKs+m
p (Ω)+|λ| kukKs p(Ω)
,
with some constantC independent ofuandλ.
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R. Denk, M. Dreher
Proof. It suffices to establish the inequalities kfkKs
p(Ω)≤C
kukKs+m
p (Ω)+|λ| kukKs p(Ω)
, kgjk
Ks+m−p,Γ rj−1/p ≤CkukKs+m p (Ω),
|λ| kgjk
Ks−p,Γrj−1/p ≤C|λ| kukKs
p(Ω), (s−rj−1/p >0), (3.3)
|λ|1+m1(s−rj−1/p)kgjkLp(∂Ω)≤C
kukKs+m
p (Ω)+|λ| kukKs p(Ω)
, (s−rj−1/p <0), (3.4) of which we will only discuss the last two. For 0< s−rj−1/p6∈N, we have
kgjk
Ks−p,Γrj−1/p=kγ0Bjuk
Ks−p,Γrj−1/p≤CkBjuk
Ks−p rj(Ω)≤CkukKs p(Ω), as claimed in (3.3). Concerning (3.4) in the case ofs≤rj, we write
1 + 1 m
s−rj−1 p
=s+m−rj
m ·
1− 1
p(s+m−rj)
, %:=|λ|
s+m−rj
m ,
and make use of Lemma 2.1:
|λ|1+m1(s−rj−1/p)kgjkLp(∂Ω)=%1−(p(s+m−rj))−1kγ0BjukLp(∂Ω)
≤C kBjuk
Ks+m−p rj(Ω)+%kBjukK0 p(Ω)
≤C
kukKs+m
p (Ω)+|λ|
s+m−rj m kukKrj
p(Ω)
.
Exploiting nows≤rj, we can interpolate:
|λ|
s+m−rj m kukKrj
p (Ω)≤C
kukKs+m
p (Ω)+|λ| kukKs p(Ω)
,
which is what we wanted to show. And for (3.4) in the case ofrj < s < rj+ 1/p, we takeσ1 =s+m−rj, σ0=s−rj <1/p,%=|λ|, and thenθ from (2.1) becomesθ=−(s−rj−1/p)/m, which brings us to
|λ|1−θkγ0BjukLp(∂Ω)≤C kBjuk
Ks+m−p rj(Ω)+|λ| kBjuk
Ks−p rj(Ω)
.
Then (3.4) quickly follows.
Consequently, the norms of the given functions f andgj appearing in the next result are the natural ones, and also the exponents of|λ|are natural.
Theorem 3.2. Let (3.1)be parameter-elliptic inL, and suppose thatf and thegj are such that all solutions uto (3.1)enjoy the following estimate for allλ∈ L with large|λ|:
kukKs+m
p (Ω)+|λ| kukKs
p(Ω)≤CkfkKs p(Ω)
+C
mN/2
X
j=1
kgjk
Kp,Γs+m−rj−1/p+|λ|1+m1 min(s−rj−1/p,0)kgjk
Kmax(s−p,Γ rj−1/p,0)
,
with some s∈[0,∞) and1< p <∞.
Thengj ≡0for all j withrj < s−1/p.
Proof. From u ∈ Ks+mp (Ω) we get BjAu ∈ Ks−rp j(Ω), which admits traces on ∂Ω. We then have from Lemma 2.1
|λ| · |λ|
s−rj
m (1−p(s−1rj))
kgjkLp(∂Ω)=|λ|
s−rj
m (1−p(s−1rj))
kγ0Bj(Au−f)kLp(∂Ω)
≤C
kBj(Au−f)k
Ks−p rj(Ω)+|λ|
s−rj
m kBj(Au−f)kK0 p(Ω)
≤C
kAu−fkKs
p(Ω)+|λ|s−mrj kAu−fkKrj p(Ω)
≤C
kukKs+m
p (Ω)+|λ|
s−rj m kuk
Km+p rj(Ω)+kfkKs
p(Ω)+|λ|
s−rj m kfkKrj
p (Ω)
≤C
kukKs+m
p (Ω)+|λ| kukKs
p(Ω)+kfkKs
p(Ω)+|λ|s−mrj kfkKrj p (Ω)
,
the last step by interpolation. Then we can bring the assumed inequality into play:
|λ| · |λ|
s−rj
m (1−p(s−1rj))
kgjkLp(∂Ω)
≤C kfkKs
p(Ω)+|λ|s−mrj kfkKrj p(Ω)
+C
mN/2
X
l=1
kglk
Ks+m−p,Γ rl−1/p+|λ|1+m1 min(s−rl−1/p,0)kglk
Kmax(s−p,Γ rl−1/p,0)
.
Ifgj6≡0 then the exponent of|λ|on the left-hand side is greater than each exponent of|λ|on the right-hand side, giving a contradiction for large |λ|.
Theorem 3.3. Let (3.2)be parameter-elliptic in L. Fix p∈(1,∞) ands∈[0, m]. Then the following two statements are equivalent forf ∈ Ksp(Ω).
1. there are positive constantsλ0 andC0 such that all solutionsuto(3.2)withλ∈ L,|λ| ≥λ0 enjoy the following estimate:
kukKs+m
p (Ω)+|λ| kukKs
p(Ω)≤C0kfkKs p(Ω), 2. γ0Bjf ≡0 for allj withs−rj>1/p.
Proof. Suppose statement no.1 and choosej withs−rj>1/p. ThenBjf ∈ Kps−rj(Ω), which admits traces on∂Ω, and we can argue as in the proof of Theorem 3.2:
|λ|
s−rj m (1−p(s−1
rj))
kγ0BjfkLp(∂Ω)=|λ|
s−rj m (1−p(s−1
rj))
kγ0Bj(Au−λu)kLp(∂Ω)
=|λ|
s−rj m (1−p(s−1
rj))
kγ0BjAukLp(∂Ω)
≤C
kBjAuk
Ks−p rj(Ω)+|λ|
s−rj
m kBjAukK0 p(Ω)
≤C
kukKs+m
p (Ω)+|λ|
s−rj m kuk
Km+p rj(Ω)
≤C
kukKs+m
p (Ω)+|λ| kukKs p(Ω)
≤CkfkKs p(Ω). Now sendλ→ ∞in L.
Conversely, suppose statement no.2. DefineX =Lp(Ω) and an operatorA:D(A)→X by D(A) :={u∈Wpm(Ω) : γ0Bju= 0, j= 1, . . . , mN/2},
Au:=Au, and set
Ys:=
([Lp(Ω), D(A)]s/m :K•p(Ω) =Hp•(Ω), (Lp(Ω), D(A))s/m,q :K•p(Ω) =Bp,q• (Ω)
=
u∈ Ksp(Ω) :γ0Bju≡0, ∀j withs−rj >1/p
ThenD(A),→Ys,→X with dense embeddings. From [9] we quote the estimate kukWm
p (Ω)+|λ| kukLp(Ω)≤CkfkLp(Ω), f ∈X,
foru= (A −λ)−1f andλ∈ L, |λ| ≥λ0. And forf ∈D(A), we have u= (A −λ)−1f ∈D(A2), hence kukW2m
p (Ω)+|λ| kukWm
p (Ω)≤CkfkWm
p (Ω), f ∈D(A).
Interpolating between these two estimates then implies kukKs+m
p (Ω)+|λ| kukKs
p(Ω)≤CkfkKs
p(Ω), f ∈Ys, fors∈[0, m].
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R. Denk, M. Dreher
Theorem 3.4. Let (3.2)be parameter-elliptic in the sector L, and fix p∈(1,∞)and smax∈[0,∞). Then the following two statements are equivalent, forf ∈ Kspmax(Ω).
1. there are positive constants λ0 and C0 such that all solutions uto (3.2)with λ∈ L,|λ| ≥λ0 satisfy the collection of estimates
kukKs+m
p (Ω)+|λ| kukKs
p(Ω)≤C0kfkKs p(Ω), for alls∈[0, smax].
2. for each pair(j, k)∈ {1,2, . . . , m} ×N0 with smax−rj> mk+ 1/p, we haveγ0BjAkf ≡0.
Proof. A proof for the casesmax ∈[0, m] was given in Theorem 3.3, whose notations we adopt here. And the proof of the first statement from the second is very similar to the proof of Theorem 3.3, so we skip it.
Therefore we may assumesmax≥m. We suppose now the statement no.1, and proceed by induction onsmax of step sizem.
Choosing s=m, we find γ0Bjf ≡0 for all j, hence f ∈D(A), and then also Au∈D(A). By parameter- ellipticity inL, there is a numberλ∗∈ Lwith|λ∗| ≥λ0+ 1 such thatA −λ∗:D(A)∩Wpσ+m(Ω)→Wpσ(Ω) is a continuous isomorphism, for allσ∈N0. Fix thisλ∗. Put ˜u:= (A −λ∗)u, ˜f := (A −λ∗)f, and note that
((A−λ)˜u= ˜f , in Ω, γ0Bju˜= 0, on∂Ω,
with ˜f ∈ Kspmax−m(Ω). For 0≤s≤smax−mandλ∈ L,|λ| ≥λ0, we then have k˜ukKs+m
p (Ω)+|λ| k˜ukKs p(Ω)
≤C
kukKm+(s+m)p (Ω)+|λ| kukKs+m p (Ω)
≤CkfkKs+m
p (Ω)=C
(A −λ)−1f˜ Ks+m
p (Ω)
≤C˜0
f˜
Kps(Ω).
By induction, we know thatγ0BjAkf˜≡0 for all pairs (j, k)∈ {1, . . . , m}×N0with (smax−m)−rj > mk+1/p.
The definition of ˜f then brings us to γ0BjAkf ≡0 for all (j, k) withsmax−rj> mk+ 1/p.
Theorem 3.5. Let (3.2) be parameter-elliptic in a sector L that is greater than the right half-plane. For s≥0 and1< p <∞, let Y be a closed linear subspace of Ksp(Ω), equipped with the norm of Ksp(Ω). Define an operatorA in the ground spaceY byAu:=Aufor
u∈D(A) :={v∈Y:Av∈Y, γ0Bjv≡0 ∀j}. Then the following are equivalent:
1. The operator Agenerates an analytic semigroup onY,
2. The embeddingD(A),→Y is dense,(A−λ)−1∈ L(Y)for allλ∈ Lof large modulus, andγ0BjAkf ≡0 for allf ∈Y and all pairs(j, k)with s−rj> mk+ 1/p.
Proof. The domain of a generator of a C0 semigroup is always dense in the ground space. Under the assumptions onL,Y andD(A), the analyticity of the semigroup is equivalent to the resolvent estimate
(A −λ)−1
L(Y)≤ C
|λ|
for allλ∈ Lof large modulus. Now apply Theorem 3.4.
Theorem 3.6. Let (3.2)be parameter-elliptic in L. Fix p∈(1,∞), s∈[0,∞), andγ∈(−∞,1]. Choose a function f ∈ Ksp(Ω).
Assume that there are positive constants λ0 andC0 such that all solutions uto (3.2)with λ∈ L, |λ| ≥ λ0
enjoy the following estimate:
|λ|γkukKs
p(Ω)≤C0kfkKs p(Ω).
Thenγ0Bjf ≡0 for allj with γ > m+rj+ 1/p−s
m . (3.5)
Remark 3.7. In case of the Dirichlet Laplacian 4D, considered in the space Wp1(Ω), the condition (3.5) turns into
γ > p+ 1 2p ,
which matches the result of [12], where the resolvent estimate from below, (4D−λ)−1
L(W1
p(Rn+),Wp1(Rn+))≥ C
|λ|(p+1)/(2p), C >0, was proved.
Proof of Theorem 3.6. Choose such aj. Byγ≤1 and the condition (3.5), we gets−rj>1/p, and therefore γ0Bjf ∈ Ks−rp,Γj−1/p exists. Now we can take a frozenλ∗ as in the proof of Theorem 3.4, and write
u= (A −λ∗)−1(f+ (λ−λ∗)u), and consequentlykukKs+m
p (Ω)≤C(kfkKs
p(Ω)+|λ| kukKs
p(Ω))≤C|λ|1−γkfkKs
p(Ω), due to|λ| ≥1. Now we can compute:
|λ|
s−rj m (1−p(s−1
rj))
kγ0BjfkLp(∂Ω)=|λ|
s−rj m (1−p(s−1
rj))
kγ0BjAukLp(∂Ω)
≤C
kBjAuk
Ks−p rj(Ω)+|λ|
s−rj
m kBjAukK0 p(Ω)
≤C
kukKs+m
p (Ω)+|λ| kukKs p(Ω)
≤C|λ|1−γkfkKs p(Ω).
Per (3.5), the left-hand side has a higher power of|λ|than the right-hand side.
3.2 Systems of Mixed Order
In this section,Ashall be a matrix differential operator of mixed order:
A= (ajk(x, Dx))j,k=1,...,N, ordajk≤sj+mk,
for integerssj andmk. The orders on the diagonal ofAshall be equal, s1+m1=. . .=sN +mN =:m,
and without loss of generality, we can set minjmj= 0.
The principal parta0jkofajkis that part with degree exactly equal tosj+mk(if such a part exists, otherwise a0jk := 0). Then we put A0 := (a0jk)j,k=1,...,N, and the operator Ais called parameter-elliptic in the sector
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R. Denk, M. Dreher
L ⊂Cif det(A0(x, ξ)−λ)6= 0 for all (x, ξ, λ)∈Ω×Rd× Lwith|ξ|+|λ|>0. Then (see [2]) mN ∈2N, and we can consider a matrix of boundary differential operators,
B= (bj,k(x, Dx))j,k, j= 1, . . . , mN/2, k= 1, . . . , N, ordbjk≤rj+mk,
with integers rj ≤ m−1. We define the principal partB0 of B in the same way as A0 was defined. We say that the Shapiro–Lopatinskii condition is satisfied if at eachx∗ ∈∂Ω, after introducing a new frame of Cartesian coordinates with center at x∗ and the xd–axis pointing along the inner normal vector at x∗, the system of ordinary differential equations
(A0(x∗, ξ0, Dxd)−λ)v(xd) = 0, 0≤xd<∞, B0(x∗, ξ0, Dxd)v(xd) = 0, xd= 0,
xdlim→∞v(xd) = 0
possesses only the trivial solution, for all (ξ0, λ)∈Rn−1× Lwith|ξ0|+|λ|>0.
Then the system (A, B) is called a parameter-elliptic boundary value problem in the sectorL ⊂ Cif A is parameter-elliptic inL, and the Shapiro–Lopatinskii condition holds.
WriteB= (B1, . . . , BmN/2)> as a column of rows, and consider the boundary value problem ((A−λ)u=f, in Ω,
γ0Bju= 0, on∂Ω, j= 1, . . . , mN/2. (3.6)
In [7], it has been shown that a number λ0 exists such that, for all λ from L with |λ| ≥ λ0, and for all f ∈Wpm1(Ω)×. . .×WpmN(Ω), a unique solutionu∈Wpm+m1(Ω)×. . .×Wpm+mN(Ω) to (3.6) exists, and the estimate
N
X
k=1
kukkWm+mk
p (Ω)+|λ|1+mk/mkukkLp(Ω)
≤C
N
X
k=1
kfkkWmk
p (Ω)+|λ|mk/mkfkkLp(Ω)
holds, with Cdepending only on (A, B).
Having secured the existence of ufor large|λ|, we can now ask under which conditions resolvent estimates forAmight exist. Sufficient conditions were presented in Dreher [6].
Theorem 3.8. If f is such that for all λof large modulus the inequality
N
X
j=1
kujk
Wpm+mj(Ω)+|λ| kujkWmj p (Ω)
≤C
N
X
j=1
kfjkWmj p (Ω)
holds with a constantC independent ofλ, thenγ0Bjf ≡0 for allj with rj ≤ −1.
Proof. Fromfk∈Wpmk(Ω) and ordbjk ≤rj+mk, we deduce thatBjf ∈Wp−rj(Ω), and this has a trace at the boundary forrj≤ −1. Pick such an indexj.
Now we can estimate as usual:
|λ|m1(1−1p)kγ0BjfkLp(∂Ω)=|λ|m1(1−1p)kγ0BjAukLp(∂Ω)
≤C
kBjAukW1
p(Ω)+|λ|m1 kBjAukLp(Ω)
≤C
N
X
k=1
kukk
Wpm+mk+rj+1(Ω)+|λ|m1 kukk
Wpm+mk+rj(Ω)
≤C
N
X
k=1
kukkWm+mk
p (Ω)+|λ|m1 kukkWm+mk−1
p (Ω)
≤C
N
X
k=1
kukkWm+mk
p (Ω)+|λ| kukkWmk p (Ω)
≤C
N
X
k=1
kfkkWmk p (Ω).
Sending λto infinity in Ω then impliesγ0Bjf ≡0.
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Robert Denk, Michael Dreher1, Department of Mathematics and Statistics, University of Konstanz, 78457 Konstanz, Germany
robert.denk@uni-konstanz.de, michael.dreher@uni-konstanz.de
1Corresponding author