This paper develops a comprehensive framework for boundary value problems involving first-order elliptic differential operators on manifolds with boundary, accommodating non-selfadjoint boundary operators and non-pseudo-local conditions, and proves regularity and Fredholm properties.
Contribution
It introduces a generalized approach to elliptic boundary conditions, unifying various existing conditions and proving regularity and Fredholm properties for solutions.
Findings
01
Boundary conditions characterized in multiple equivalent ways
02
Solutions exhibit regularity up to the boundary
03
Imposing elliptic boundary conditions yields Fredholm operators on compact manifolds
Abstract
We study boundary value problems for first-order elliptic differential operators on manifolds with compact boundary. The adapted boundary operator need not be selfadjoint and the boundary condition need not be pseudo-local. We show the equivalence of various characterisations of elliptic boundary conditions and demonstrate how the boundary conditions traditionally considered in the literature fit in our framework. The regularity of the solutions up to the boundary is proven. We show that imposing elliptic boundary conditions yields a Fredholm operator if the manifold is compact. We provide examples which are conveniently treated by our methods.
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Full text
Boundary value problems for general first-order elliptic differential operators
Christian Bär
and
Lashi Bandara
Christian Bär,
Institut für Mathematik,
Universität Potsdam,
D-14476, Potsdam, Germany
Dedicated to Werner Ballmann on the occasion of his 68th birthday
Abstract.
We study boundary value problems for first-order elliptic differential operators on manifolds with compact boundary.
The adapted boundary operator need not be selfadjoint and the boundary condition need not be pseudo-local.
We show the equivalence of various characterisations of elliptic boundary conditions and demonstrate how the boundary conditions traditionally considered in the literature fit in our framework.
The regularity of the solutions up to the boundary is proven.
We show that imposing elliptic boundary conditions yields a Fredholm operator if the manifold is compact.
We provide examples which are conveniently treated by our methods.
First-order elliptic operators are abundant in the context of physics and geometry.
In particular, index theory is a topic of significance where first-order elliptic differential operators play a key role.
While these questions were firstly focused on closed manifolds, it was apparent that the case of manifolds with boundary is useful, particularly for applications.
Traditionally, when dealing with second-order elliptic operators, one imposes local boundary conditions which are conditions on the function and its derivatives at all points of the boundary.
Dirichlet- and Neumann boundary conditions are prominent examples.
Local elliptic boundary conditions can also be defined for operators of arbitrary order and are known as Lopatinsky-Schapiro conditions.
For first-order operators however they cannot always be imposed; depending on the operator and the underlying manifold with boundary there can be topological obstructions against their existence.
Atiyah, Patodi, and Singer overcame this problem in their pioneering work [APS-Ann, APS1, APS2, APS3] by introducing non-local boundary conditions.
These boundary conditions were phrased in terms of the spectral decomposition of an operator on the boundary.
Since the work of Atiyah-Patodi-Singer, a plethora of results have been obtained in different settings under various assumptions.
Much of this work has focused on the so-called pseudo-local case, where the boundary condition is obtained as the range of a pseudodifferential projector on the boundary.
To name a few relevant references, see [BBC, BLZ, B, BL2001, G96, Melrose, RS, S01, S04] by Ballmann, Booß-Bavnbek, Boutet de Monvel, Brüning, Carron, Grubb, Lesch, Melrose, Rempel, Schulze, and Zhu.
There has also been effort to understand such questions in non-smooth settings as well as for general elliptic operators, for instance [KM1, KM2] by Krainer and Mendoza.
In [BB12] by Bär and Ballmann, a framework is constructed to study boundary value problems for first-order elliptic operators which induce a selfadjoint operator on the boundary.
Although this is a restriction, they are able to account for a large class of operators, including all Dirac type operators.
A tremendous boon of their analysis is that they are able to capture all possible boundary conditions.
In particular, they are able to go beyond those that are pseudo-local.
Such conditions are significant and arise naturally.
For instance, the so-called matching boundary conditions are not pseudo-local but are extremely useful to study relative index theory.
In the present paper, we show how to study boundary value problems for a general first-order elliptic differential operator, i.e. we drop the assumption that the adapted boundary operator be selfadjoint.
This is necessary for the study of more exotic, but geometrically natural operators such at the Rarita-Schwinger operator on 3/2-spinors.
More generally, we address aspects of the research program sketched out in [BL2009] by Booß-Bavnbek and Lesch to close the gap in the understanding of boundary value problems between the geometric Dirac type operator situation and general first-order elliptic case.
We define the boundary trace map on the maximal domain of the operator and understand its topology given by the spectral subspaces of the adapted operator on the boundary.
The minimal domain is the kernel of the boundary trace map and hence, we are able to understand the totality of possible boundary conditions.
In particular, we introduce a very general notion of an elliptic boundary condition through a host of different characterisations.
We also include an important characterisation of ellipticity of a boundary condition in the language of Fredholm pairs, as initially demonstrated by [BS] by Braverman and Shi in the context of selfadjoint boundary operators.
Under a coercivity assumption on the operator at infinity, we demonstrate that elliptic boundary conditions are Fredholm.
Moreover, we also understand the boundary regularity of solutions.
We emphasise that although we are guided by [BB12], the methods and techniques used here are vastly different.
The analysis in [BB12] is carried out in the spirit of the Fourier series through concentrating the analysis to each eigenspace of the boundary adapted operator and reconstructing the global picture through orthogonality.
In our more general case, the adapted operators may not be realised as a selfadjoint operator.
There, the eigenspaces alone may not sum to the total space, and to make matters worse, there may be non-orthogonality of the generalised eigenspaces.
Therefore, the basis of our approach is to understand the adapted operator on the boundary.
We show that up to the addition of a real constant, such an operator is an invertible bisectorial operator.
This observation is of paramount importance and is stronger than the so-called parametric ellipticity along the imaginary axis that was observed in [BL2009].
Using the work of Grubb in [Grubb], we obtain spectral projectors to the generalised eigenspaces of the boundary operator, as pseudo-differential operators of order zero.
This allows us to build the modulus operator as an invertible sectorial operator.
The engine of our work is the H∞-functional calculus and its quadratic estimates characterisation, pioneered by McIntosh in [Mc86].
We show that our model operator enjoys this functional calculus.
Then, this allows us to access the so-called maximal regularity for sectorial operators, which is obtained through the H∞-functional calculus and underpins much of the analysis.
These methods are used in a different context of non-smooth coefficient first-order factorisations of divergence form equations, see e.g. [AAH08, AAMc10, AA11, AA12] by Auscher, Axelsson (Rosén), Hofmann, and McIntosh.
The structure of the paper is as follows.
In Section 2, we describe the key assumptions as well as the results, so that the results may be accessed with the minimal amount of technicalities.
Section 3 illustrates examples of some adapted operators to the boundary which exhibits phenomena that cannot be captured by the framework in [BB12].
In particular, this section shows through explicit calculation that the adapted boundary operator for the Rarita-Schwinger operator cannot be chosen in such a way that it becomes selfadjoint.
In Section 4, we study the operator theory, particularly the spectral theory, of the boundary adapted operator.
There, we demonstrate that the boundary adapted operator is, up to the addition of a real perturbation, an invertible bisectorial operator.
This simple but important observation allows us in Section 5 to show the existence of the H∞-functional calculus for the modulus operator.
Moreover, we also demonstrate the connections between fractional powers of the modulus to fractional Sobolev scales.
Then, in Section 6, we consider the reduction to the cylinder, and study the properties of the so-called model operator.
In this section, we also demonstrate how maximal regularity is used in order to obtain higher regularity results on the cylinder.
Following this, in Section 7, we return to the general manifold situation and study the maximal domain of the operator.
We conclude the paper with Section 8 where we consider boundary value problems.
An appendix A is included that captures some of the abstract tools needed in various parts of the paper.
Acknowledgements.
We thank Andreas Rosén for useful discussions.
Penelope Gehring also deserves acknowledgement for carefully reading through the manuscript and providing feedback.
The second author was supported by SPP2026 from the German Research Foundation (DFG).
2. Setup and results
In this section, we list background assumptions, necessary definitions, as well as the results which we obtain in this paper.
The proofs of many of these results are technical in nature and we defer these to later points of the paper.
Here, we present the necessary details to enable a working knowledge of the framework and results so that it can be readily applied.
2.1. Notation
Let B be a Banach space and T:dom(T)⊂B→B an unbounded operator.
The objects dom(T), ran(T), ker(T), spec(T), and res(T) denote the domain, range, null space, spectrum and resolvent set of T, respectively.
The operator T is said to be invertible if it is injective, ran(T) is dense, and T−1 is bounded.
In this case, we often write T−1 to denote the unique bounded extension of T−1 on ran(T) to all of B.
The graph norm of T is ∥⋅∥T2:=∥⋅∥2+∥T⋅∥2 on dom(T).
For M a smooth manifold with smooth boundary ∂M, by K⋐M we mean that K⊂M, the interior K˚=∅ and that K is compact.
On (E,hE)→M a Hermitian vector bundle, the support of a section u will denoted by sptu.
We equip M with a smooth measure μ.
For p∈[1,∞), we denote measurable sections u such that ∫M∣u∣hEpdμ<∞ by Lp(M;E).
This is a Banach space with norm ∥u∥Lp=(∫M∣u∣hEpdμ)1/p.
Since hE is Hermitian, the norm in the case of p=2 polarises and hence L2(M;E) is a Hilbert space with inner product
[TABLE]
The space L∞(M;E) is defined similarly, namely as the space consisting of measurable sections u, each of which for there exists a C>0 with ∣u(x)∣hE(x)≤C for almost every x∈M.
The L∞-norm is then the infimum over such constants C.
The following table lists the notations for significant function spaces we will require in this paper:
We emphasise that for Cck(M;E) as well as Hlock(M;E), the support of sections may touch the boundary ∂M.
For a first-order differential operator D:C∞(M;E)→C∞(M;F), where (F,hF)→M is another Hermitian bundle, we denote the principal symbol by \upsigmaD(x,ξ).
In our convention, this symbol is given by the expression [D,f](x) where df(x)=ξ, [⋅,⋅] is the commutator, and f acts by multiplication.
There exists a formal adjoint D† of D on the domains Ccc∞(M;F) and Ccc∞(M;E), respectively.
Denoting these operators Dcc and Dcc†, we can obtain the maximal operators as:
[TABLE]
where ∗ denotes the adjoint of an unbounded operator in the Hilbert space L2(M;E) or L2(M;F), respectively.
The operator D is said to be complete if the subspace of compactly supported sections in dom(Dmax) is dense in dom(Dmax) in the graph norm of D in L2(M;E).
2.2. The framework and results
The following are the background assumptions we use throughout this article.
These are to be assumed throughout the paper unless specified otherwise.
(S1)
M is a smooth manifold with smooth compact boundary Σ=∂M;
2. (S2)
T is a smooth interior vectorfield along ∂M;
3. (S3)
μ is a smooth volume measure on M and ν is the smooth volume measure on Σ, induced by μ and T;
4. (S4)
(E,hE),(F,hF)→M are Hermitian vector bundles over M;
5. (S5)
D is a first-order elliptic differential operator from E to F;
6. (S6)
D and D† are complete.
The interior co-vectorfield to T is given by τ.
This is the 1-form that satisfies τ(x)(T(x))=1 and τ(x)∣TxΣ=0.
Definition 2.1** (Adapted boundary operator).**
An operator A is said to be an adapted boundary operator for D if its principal symbols is given by
[TABLE]
for all x∈∂M and ξ∈Tx∗∂M.
By A~, we denote an adapted boundary operator for D† which satisfies the definition with D replaced by D†.
Such operators always exist and are elliptic differential operators of order 1.
They are unique up to an operator of order zero.
In what is to follow, we will always fix such an operator (unless specified otherwise).
Definition 2.2** (Admissible spectral cut).**
If r∈R is a number such that the vertical line lr={ζ∈C:Reζ=r} does not intersect the spectrum of A, we say that r is an admissible cut.
Any adapted operator A, being an elliptic operator on a compact manifold without boundary, has discrete spectrum.
Hence all real numbers but a countable set of exceptions are admissible spectral cuts.
Given such a cut r, we define the operator Ar:=A−r which is then invertible.
We are able to obtain spectral projectors
[TABLE]
to the spectral subspaces corresponding to eigenvalues with positive and negative real parts respectively.
These are pseudo-differential operators of order zero and therefore we obtain
[TABLE]
as closed subspaces of the Sobolev spaces Hs(Σ;E) for all s∈R.
Note that these projectors are, in general, non-orthogonal.
The fundamental space for the analysis of boundary value problems is the following so-called check space corresponding to A
[TABLE]
with norm
[TABLE]
We write the left hand side of these definitions independent of the cut parameter r since the subspace Hˇ(A) is independent of the cut parameter r and any two norms corresponding to two admissible spectral cuts are comparable.
In practice, it is often useful to choose a cut that is convenient to the problem at hand.
We set H^(A):=Hˇ(−A) and define \upsigma0:C∞(Σ;E)→C∞(Σ;F) by \upsigma0(x):=σD(x,τ(x)).
The homomorphism field (\upsigma0−1)∗ induces an isomorphism between H^(A∗) and Hˇ(A~) and β(u,v):=−⟨\upsigma0u,v⟩L2(Σ;F) for u∈Cc∞(Σ;E) and v∈Cc∞(Σ;F) extends to a perfect pairing between Hˇ(A) and Hˇ(A~). For convenience, we will denote this extension simply as −⟨\upsigma0u,v⟩.
Theorem 2.3**.**
The following hold:
(i)
The space Cc∞(M;E) is dense in dom(Dmax) with respect to the corresponding graph norm;
2. (ii)
The trace maps Cc∞(M;E)→C∞(Σ;E) given by u↦u∣Σ extend uniquely to surjective bounded linear maps dom(Dmax)→Hˇ(A);
3. (iii)
The spaces
[TABLE]
4. (iv)
For all u∈dom(Dmax) and v∈dom((D†)max),
[TABLE]
The corresponding statements hold for D† on replacing E by F.
Higher elliptic regularity is then described by the following theorem:
Theorem 2.4**.**
The following holds:
[TABLE]
As a consequence of Theorem 2.3ii, the following is a notion of boundary condition.
Definition 2.5** (Boundary condition and the associated operator).**
A boundary condition for D is a closed linear subspace B⊂Hˇ(A).
The domains of the operators are
[TABLE]
and similarly for the formal adjoint D† with A replaced by A~.
For any boundary condition DB, the operator DB is a closed map between Dcc and Dmax.
Given any closed extension Dc of Dcc, there exists a boundary condition B, given by B={u∣Σ:u∈dom(Dc)}, so that Dc=DB,max.
Moreover, a boundary condition B satisfies B⊂H21(Σ;E) if and only if DB=DB,max.
See Proposition 8.1 for an elaborate description of these statements as well as their proofs.
Given a boundary condition B, the associated adjoint boundary condition is denoted by B∗ for the operator DB,max∗.
This space is given by:
[TABLE]
and this is a closed subspace of Hˇ(A~).
As aforementioned, the symbol \upsigma0∗:Hˇ(A~)→H^(A∗) is an isomorphism and we have that \upsigma0∗B∗⊂H^(A∗) is closed.
In applications, it is easier to work with this latter space so as to only have to consider the operator A rather than both A and A~
simultaneously.
The following decomposition of a boundary condition is useful in characterising elliptic boundary conditions.
Let B⊂H21(Σ;E) be a boundary condition.
Let r∈R be an admissible spectral cut and suppose:
(i)
W±, V± are mutually complementary subspaces of L2(Σ;E) such that
[TABLE]
2. (ii)
W± are finite dimensional with W±,W±∗⊂H21(Σ;E), and
3. (iii)
there exists a bounded linear map g:V−→V+ with g(V−21)⊂V+21 and g∗((V+∗)21)⊂(V−∗)21
such that
[TABLE]
Then, we say that B can be elliptically decomposed with respect to r.
Here, given a subspace V⊂L2(Σ;E), we put Vs:=V∩Hs(Σ;E) for s∈R.
Remark 2.7**.**
The spaces W±∗ and V±∗ are defined by Q±∗L2(Σ;E) and P±∗L2(Σ;E), where Q± and P± are the unique projectors with respect to the splitting of the space L2(Σ;E)=V−⊕W−⊕V+⊕W+ so that W±=Q±∗L2(Σ;E) and V±=P±∗L2(Σ;E).
In particular, dim(W±)=dim(W±∗).
The notion of Fredholm pairs is also useful in characterising elliptic boundary conditions.
Recall that a pair (X,Y) of closed subspaces of a Hilbert space Z is called a Fredholm pair if X+Y is closed in Z and X∩Y and coker(X,Y):=Z/(X+Y) are finite dimensional.
The index of a Fredholm pair (X,Y) is
[TABLE]
Definition 2.8** (Fredholm pair decomposition).**
Let B⊂H21(Σ;E) and let r∈R be an admissible spectral cut.
Suppose:
(i)
B is closed subspace of H21(Σ;E),
2. (ii)
(χ+(Ar)H21(Σ;E),B) and (χ−(Ar∗)H21(Σ;E),B⊥,H21(Σ;E)) are Fredholm pairs in H21(Σ;E) (where B⊥,H21(Σ;E) denotes the annihilator of B in H21(Σ;E)), and
3. (iii)
Then, we say that B is Fredholm-pair decomposed with respect to r.
The following is an important theorem that provides useful criteria to determine elliptic boundary conditions.
This theorem also illustrates that this notion of ellipticity agrees with previous notions in the literature.
Theorem 2.9**.**
Let B⊂H21(Σ;E) be a subspace.
Then the following are equivalent:
(i)
dom(DB,max)⊂Hloc1(M;E)anddom(DB∗,max†)⊂Hloc1(M;F).
2. (ii)
B* is a closed subset of Hˇ(A) and B∗⊂H21(Σ;F),*
3. (iii)
with respect to every admissible spectral cut r∈R, B can be elliptically decomposed,
4. (iv)
with respect to some admissible spectral cut r∈R, B can be elliptically decomposed,
5. (v)
with respect to every admissible spectral cut r∈R, B can be Fredholm pair decomposed,
6. (vi)
with respect to some admissible spectral cut r∈R, B can be Fredholm pair decomposed.
Moreover, whenever one of the equivalent statements ii-vi is satisfied,
For s≥21, we say an elliptic boundary condition B is (s+21)-semiregular w.r.t. an admissible spectral cut r if W+⊂Hs(Σ;E) and g(V−s)⊂V+s.
Here, W±, V± and g are as in Definition 2.6.
If, in addition, B∗ is also (s+21)-semiregular w.r.t. r, then we say that B is (s+21)-regular w.r.t. r.
It turns out that (semi)regularity is independent of the choice of admissible spectral cut r, cf. Lemma 8.9.
The main result along these lines is the following higher boundary regularity result.
Theorem 2.12** (Higher boundary regularity).**
Let m∈N and B be an elliptic boundary condition that is m-semiregular.
Then, for k∈{0,1,…,m−1} and u∈dom(DB), we have that Dmaxu∈Hlock(M;F) implies u∈Hlock+1(M;E).
The following are two significant types of boundary conditions that arise in applications.
Definition 2.13** (Local boundary condition).**
A boundary condition B⊂H21(Σ;E) is a local boundary condition if there exists a subbundle E′⊂E∣Σ such that
Let P be a classical pseudo-differential projector of order zero (not necessarily orthogonal).
Then,
[TABLE]
is called a pseudo-local boundary condition.
The following is a useful tool that characterises pseudo-local conditions.
Theorem 2.15**.**
For a pseudo-local boundary condition B=PH21(Σ;E)Hˇ(A), the following are equivalent:
(i)
B* is an elliptic boundary condition and B=PH21(Σ;E).*
2. (ii)
For some/every admissible spectral cut r∈R, the operator
[TABLE]
is a Fredholm operator.
3. (iii)
For some/every admissible spectral cut r∈R, the operator
[TABLE]
is elliptic.
4. (iv)
For every ξ∈Tx∗Σ∖{0}, x∈Σ, the principal symbol \upsigmaP(x,ξ):Ex→Ex restricts to an isomorphism from the sum of the generalised eigenspaces of i\upsigmaAr(x,ξ) to the eigenvalues with negative real part onto the image \upsigmaP(x,ξ)(Ex) and, similarly, \upsigmaP∗(x,ξ) restricts to an isomorphism from the sum of the generalised eigenspaces of i\upsigmaAr∗(x,ξ) to the eigenvalues with negative real part onto \upsigmaP∗(x,ξ)(Ex).
In condition iv we have to consider generalised eigenspaces rather than eigenspaces because the principal symbol \upsigmaA(x,ξ) is not necessarily diagonalisable, cf. the example in (4) below.
An immediate and significant consequence is that every such condition is ∞-regular.
Corollary 2.16**.**
Every pseudo-local elliptic boundary condition is ∞-regular.
In particular, if DBv∈C∞(M;F) then v∈C∞(M;E).
That is, v is smooth up to the boundary.
By Remark 4.2, i\upsigmaAr(x,ξ) has as many eigenvalues (counted with algebraic multiplicities) with positive real part as those with negative real part if dimM≥3.
Thus, if P is the projector of an elliptic pseudo-local boundary condition, the rank of \upsigmaP(x,ξ) must be precisely half the dimension of Ex.
There is a classical concept of local elliptic boundary value problem known as Lopatinsky-Schapiro boundary conditions, see Section 20.1 in [H94] for details.
For first order operators this condition reduces to considering a subbundle E′⊂E∣Σ and setting B=H21(Σ;E′).
We consider the subbundle F′:=(\upsigma0−1)∗(E′)⊂F∣Σ.
Then B∗=H21(Σ;(F′)⊥).
Corollary 2.17**.**
If (D,B) and (D†,B∗) form elliptic boundary value problems in the sense of Lopatinsky and Schapiro, then B=H21(Σ;E′) and B⊥=H21(Σ;(E′)⊥) are elliptic boundary conditions for D in the sense of Definition 2.10 and so are B∗=H21(Σ;(F′)⊥) and (B∗)⊥=H21(Σ;F′) for D†.
Moreover, these boundary conditions are pseudo-local and hence ∞-regular.
The following condition is required to yield Fredholm operators for elliptic boundary conditions.
This condition automatically holds for manifolds that are compact.
Definition 2.18** (Coercive at infinity).**
The operator D is said to be coercive at infinity if there exists a compact subset K⊂M and a constant C such that
[TABLE]
for all u∈Cc∞(M;E) with sptu⊂M∖K.
Theorem 2.19** (Fredholmness).**
Let D and D† be coercive at infinity.
Suppose that B an elliptic boundary condition for D.
Then, the following hold.
(i)
DB* is a Fredholm operator and*
[TABLE]
2. (ii)
Let C be a complementary subspace to B in Hˇ(A) with an associated projection Pˇ:Hˇ(A)→Hˇ(A) with kernel B and image C.
Then
[TABLE]
is a Fredholm operator with the same index as DB,max=DB.
3. (iii)
If B′⊂B is another elliptic boundary condition, then dim\faktorBB′<∞ and
[TABLE]
3. Examples
We look at a few examples in order to see how an adapted boundary operator A can look like.
First we give a very simple example showing that the principal symbol of A need not be diagonalisable.
Then we consider a Dirac operator on M.
For an orthonormal boundary transversal, the adapted boundary operator is essentially the Dirac operator of the boundary (up to zero-order terms).
In particular, it can be chosen to be selfadjoint.
We show in a simple example that for non-orthonormal transversal the adapted boundary operator no longer has real spectrum.
Finally, we consider the Rarita-Schwinger operator on M and find that the eigenspaces of A do not span L2(Σ;S23Σ);
the generalised eigenspaces are larger than the true eigenspaces.
3.1. Nondiagonalisable principal symbols
The following example shows that the principal symbol of a first-order elliptic operator need not be diagonalisable, not even if it is an induced boundary operator.
To start, let M=R2 whose Cartesian coordinates we denote by t and x.
The operator acts on C2-valued functions, i.e. the bundle E→M is the trivial complex vector bundle of rank 2.
Put
[TABLE]
Since
[TABLE]
for (ξ1,ξ2)=(0,0), the operator D is elliptic.
Now we restrict to {t≥0} and consider the operator A induced on the boundary Σ={t=0}.
We find
[TABLE]
We see that the principal symbol \upsigmaA(ξ)=ξ⋅(i01i) is nondiagonalisable.
3.2. Dirac operator and non-orthogonal boundary transversal
Let M be a compact Riemannian spin manifold with compact boundary Σ.
Let τ0 be the conormal along Σ whose length is normalised to 1 w.r.t. the Riemannian metric.
Let D be the Dirac operator acting on spinors on M.
The adapted boundary operator A on Σ can be chosen in such a way that it is essentially the Dirac operator on Σ.
In particular, it is then selfadjoint and has real spectrum.
The Atiyah-Patodi-Singer boundary conditions B=χ−(A)H21(Σ;E) then are the most prominent example of an elliptic boundary condition.
More specifically, let M=S1×[0,∞) so that Σ=S1 with length 2π.
If we denote the standard coordinates on M by (θ,t), then the interior unit normal covector field is given by τ0=dt.
With the appropriate choice of spin structure, the spinor bundle is the trivial C2-bundle and the Dirac operator is given by
[TABLE]
As an adapted boundary operator we can choose
[TABLE]
This operator has the eigenvalues k∈Z with multiplicity 2.
The corresponding eigenspinors are given by
[TABLE]
Now, fix a parameter α∈R and put τ=τ0+αdθ.
From
[TABLE]
we get the adapted boundary operator
[TABLE]
Thus, for α=0, the operator A has the eigenvalues α2+11−iαk and α2+11+iαk for k∈Z with multiplicity 1.
Fig. 1: Spectrum of A0 and of A (dashed lines)
3.3. The Rarita-Schwinger operator
If D is the Dirac operator on M, then the adapted boundary operator can be chosen to be selfadjoint.
For other geometrically natural operators this is no longer the case.
We discuss the Rarita-Schwinger operator as an example.
Since this operator is much less known as compared to the Dirac operator, we include some basics in the discussion, see [Bures1999, HS2018, Wang1991] for further aspects concerning this operator.
Let M be a Riemannian spin manifold of dimension n≥3.
We denote its complex spinor bundle by SM.
Clifford multiplication will be denoted by γ:SM⊗TM→SM, i.e. γ(ϕ⊗ξ)=ξ⋅ϕ.
Clifford multiplication is characterised by the relation η⋅ξ⋅ϕ+ξ⋅η⋅ϕ+2⟨ξ,η⟩ϕ=0.
For Φ=ϕ⊗ξ∈SxM⊗TxM and η∈TxM we write Φ(η):=⟨ξ,η⟩ϕ.
Now
[TABLE]
defines an embedding of SM into SM⊗TM.
Here e1,…,en is a local orthonormal tangent frame and ι is independent of the choice of this frame.
We then have
[TABLE]
and
[TABLE]
The bundle of 23-spinors is defined as
[TABLE]
It is naturally a Hermitian vector bundle over M.
Now, ι∗=n1γ and ι∘γ is the orthogonal projection SM⊗TM→ι(SM).
The complementary orthogonal projection π23:SM⊗TM→\SSM is given by
[TABLE]
Now let D:C∞(M;SM⊗TM)→C∞(M;SM⊗TM) be the twisted Dirac operator with coefficients in TM.
We define the Rarita-Schwinger operator by restricting to the subbundle \SSM⊂SM⊗TM, i.e.
[TABLE]
Its principal symbol is easily computed for Φ∈\SSxM to be
[TABLE]
Here ξ♭ is the covector corresponding to the tangent vector ξ under the isomorphism TM→T∗M induced by the Riemannian metric.
For ξ∈TxM∖{0} put
[TABLE]
Then \SSxM=\SS(ξ)⊕S~23(ξ) is an orthogonal decomposition which is respected by \upsigmaD(x,ξ♭).
On \SS(ξ) the principal symbol \upsigmaD(x,ξ♭)(Φ) simply acts by ξ⊗1 as one can see from (5).
For π23(ϕ⊗ξ)∈S~23 we have
[TABLE]
Thus, with respect to this splitting, the square of \upsigmaD(x,ξ♭) is given by
[TABLE]
In particular, D is elliptic.
Next, we consider adapted boundary operators.
For the sake of simplicity, we restrict ourselves to the case n=3.
Let τ=T♭∈Tx∗M be the interior unit conormal where x∈Σ=∂M.
For ξ∈TxΣ the principal symbol of an adapted boundary operator is given by \upsigmaA(x,ξ♭)=\upsigmaD(x,τ)−1\upsigmaD(x,ξ♭).
We first determine the spectrum of \upsigmaA(x,ξ♭) and assume for now that ∣ξ∣=1.
We choose η∈TxΣ in such a way that T,ξ,η form an orthonormal basis of TxM and that T⋅ξ⋅η acts as 1 by Clifford multiplication.
Let Φ∈Sx23M∖{0} be an eigenvector of \upsigmaA(x,ξ♭) to the eigenvalue λ∈C, i.e.
[TABLE]
We write Φ=ϕ0⊗T+ϕ1⊗ξ+ϕ2⊗η where ϕj∈SxM.
The relation γ(Φ)=0 is equivalent to ϕ2=ηTϕ0+ηξϕ1, i.e.
[TABLE]
A straightforward computation yields
[TABLE]
Comparing the coefficients of the T and ξ-terms, (6) implies
[TABLE]
This shows that if ϕ0=0, then ϕ1=0 and hence Φ=0.
Thus ϕ0=0.
Combining the two equations gives
[TABLE]
hence
[TABLE]
In a suitable spinor basis, Clifford multiplication by η is given by the matrix (0ii0).
Thus (7) says that the matrix
[TABLE]
is singular.
Its determinant is given by (λ+λ1)2 and has to vanish.
Thus λ=±i.
If ξ is no longer be assumed to have unit length, then by linearity the eigenvalues of \upsigmaA(x,ξ♭) are ±∣ξ∣i.
Note that for λ=±i, the matrix in (8) has rank 1.
Hence, the geometric multiplicity of the eigenvalue λ=±∣ξ∣i is 1, while the algebraic multiplicities must add up to 4, the dimension of Sx23M (except for ξ=0).
Indeed, the algebraic multiplicities are 2.
We compute the spectrum of A for the example where Σ is a flat 2-torus.
Let Σ=R2/Γ where Γ is a lattice.
We assume that Σ carries the flat metric induced from R2 and the spin structure with respect to which the spinor bundle SΣ has trivial holonomy, cf. [F84].
Then S23M has also trivial holonomy and the space of parallel sections has dimension 4.
As adapted boundary operator, we choose
[TABLE]
Let k=(k1,k2)∈Γ∗, the dual lattice.
Then Vk={e2πi⟨k,x⟩Φ:Φ parallel} is an A-invariant subspace of L2(Σ;S23Σ).
Indeed,
[TABLE]
Thus, restricted to the 4-dimensional space Vk, the operator A has the eigenvalues ±2π∣k∣, with multiplicity 1 each.
By Fourier analysis we know L2(Σ;S23Σ)=⨁k∈Γ∗Vk.
Thus A has real spectrum but the eigenspaces do not span all of L2(Σ;S23Σ).
The generalised eigenspaces, however, do.
4. Operator theory of the boundary adapted operator
Recall the principal symbols \upsigmaD and \upsigmaA for the operator D and the induced operator A on the boundary from §2.2.
Let Sω={λ∈C∖{0}:argλ∈[0,ω)∪(π−ω,π+ω)∪(2π−ω,2π)} be the open bisector of angle ω with vertex at the origin in C.
Fig. 2: Bisector Sω
We make the following central observation.
Lemma 4.1**.**
There exists a ν>0 such that
[TABLE]
for all (x,ξ)∈T∗Σ such that ξ=0.
Proof.
We first show, by contradiction, that the spectrum of the principal symbol of A satisfies:
[TABLE]
for any 0=ξ∈Tx∗Σ.
Suppose that the conclusion is false for some ξ=0 .
Then, there exists t∈R and v∈Ex∖{0} such that \upsigmaA(x,ξ)v=tv.
This is equivalent to \upsigmaD(x,ξ)v=t\upsigmaD(x,τ)v=\upsigmaD(x,tτ)v.
Then ξ−tτ=0 and
[TABLE]
But this contradicts the ellipticity of D and proves (9).
Since the spectra of \upsigmaA(x,ξ) depend continuously on (x,ξ) and the unit cosphere bundle of Σ is compact, the set of all eigenvalues of all \upsigmaA(x,ξ) with x∈Σ and ∥ξ∥=1 is a compact subset of C.
It avoids the real axis, hence we can find a ν>0 such that ⋃∥ξ∥=1spec(\upsigmaA(x,ξ))∩Sν=∅.
Since Sν is conic and t↦\upsigmaA(x,tξ) is homogeneous of degree 1, the claim follows.
∎
Remark 4.2**.**
We note that if dimM≥3, for fixed (x,ξ), the number of eigenvalues (counted with algebraic multiplicities) of \upsigmaA(x,ξ) with positive imaginary part equals that of the eigenvalues with negative imaginary part.
Namely, in this case dimTx∗Σ≥2 and hence we can joint ξ with −ξ by a continuous path ξ(t) of nonvanishing covectors.
Since \upsigmaA(x,ξ(t)) never has real eigenvalues, the number of eigenvalues with positive imaginary part does not change as t varies.
But \upsigmaA(x,−ξ)=−\upsigmaA(x,ξ) because A is of first order.
In dimension 2 this is no longer true, see Subsection 3.1 for a counter-example.
Throughout, we regard the operator A as an unbounded operator on L2(Σ;E) and we obtain the following information on the spectrum of the operator A.
Let BR={λ∈C:∣λ∣≤R}.
Proposition 4.3**.**
The L2-spectrum of the operator A satisfies the following:
(i)
there exists R>0 and ω∈[0,π/2) such that spec(A)⊂Sω∪BR;
2. (ii)
there exists C>0 such that for ζ∈C∖(Sω∪BR) the resolvent bound ∣ζ∣∥(A−ζ)−1∥≤C holds;
3. (iii)
the spectrum spec(A) is discrete.
Proof.
Let ν∈(0,π/2) be as in Lemma 4.1.
Choose η∈(0,ν).
From spec(i\upsigmaA(x,ξ))∩iSν=∅ for all (x,ξ) we conclude spec(i\upsigmaA(x,ξ))∩iSη=∅ whenever ξ=0.
Now i and ii follow from Theorem 9.3 in [Shubin] with ω=π/2−η.
Assertion iii simply follows from the ellipticity of A along with the Rellich embedding: H1(Σ;E)↪L2(Σ;E) is compact, which gives that (A−λ)−1 is a compact operator.
∎
To obtain useful operators associated to A needed for the study of boundary value problems, we recall the important class of operators that are known as bi-sectorial.
Let T:dom(T)⊂B→B be a densely-defined and closed operator on a Banach space B.
Given 0<ω<π/2, it is called ω-bisectorial if spec(T)⊂Sω and for each μ>ω, there exists a Cμ such that for ζ∈Sμ,
[TABLE]
Put C+:={λ∈C:Reλ>0}.
If the condition holds with Sω and Sμ replaced with Sω+=Sω∩C+ and Sμ+ respectively, then T is said to be ω-sectorial.
To avoid confusion, let us remark that in older literature, the notion ω-sectorial (in the context of a Hilbert space) contains the extra condition on the numerical range of T.
Such operators are now called Kato-sectorial.
See Remark 4.9 for further details.
For any r∈R and ε>0, let Lε,r=∪∣s−r∣≤εls be the closed vertical strip of width 2ε centred about lr.
Lemma 4.4**.**
For any admissible spectral cut r there exists an εr>0 such that Lr,ε⊂res(A).
Proof.
By Proposition 4.3i and iii, the intersection spec(A)∩L1,r is finite, spec(A)∩L1,r={λ1,…,λk}.
If the intersection is empty put εr:=1, otherwise εr:=21min1≤i≤k∣Reλi−r∣ does the job.
∎
From this point onward, we fix an admissible spectral cut r.
Proposition 4.5**.**
There exist 0<ωr<π/2 and εr>0 such that Ar is invertible and ωr-bisectorial and spec(Ar)⊂Sωr∖Lεr,0.
Proof.
Let R and ω be as in Proposition 4.3 and r and εr as in Lemma 4.4.
Then the spectrum of A is contained in the area shaded in grey in Figure 4.
Fig. 3: Spectrum of A
Thus the spectrum of Ar is contained in Sωr∖Lεr,0, with ωr as indicated in the picture.
In particular, 0∈/spec(Ar), hence Ar is invertible.
It remains to show the resolvent estimate for ζ∈C∖Sωr.
If, in addition, ζ+r∈/Sω∪BR then Proposition 4.3ii yields the resolvent bound
[TABLE]
On the other hand, Z:=((Sω∪BR)−r)∩(C∖Sωr) is a compact set contained in the resolvent set of Ar.
Hence there exists a constant C1>0 such that ∣ζ∣≤C1 and ∥(ζ−Ar)−1∥≤C1 for all ζ∈Z.
This implies, for those ζ:
[TABLE]
To define spectral projectors, consider
[TABLE]
Proposition 4.6**.**
For r an admissible spectral cut, the projection χ+(Ar) to the spectral subspace associated to the eigenvalues of the right half open plane is a pseudo-differential operator of order [math].
Similarly, χ−(Ar), the projection to the spectral subspace of the left half open plane, is also a pseudo-differential operator of order [math].
Proof.
By Proposition 4.5, Ar is an invertible ωr-sectorial operator and also that l0⊂res(Ar).
The main theorem of Grubb in [Grubb] asserts that χ+(Ar) can be defined as the contour integral
[TABLE]
for u∈C∞(Σ;E) and it extends to a pseudo-differential operator of order zero.
The conclusion for χ−(Ar) follows by analogy or simply from χ−(Ar)=1−χ+(Ar).
∎
Recall the function sgn:C→C given by:
[TABLE]
Whenever Reζ=0, we have that
[TABLE]
Thus, on using that χ±(A) is L2(EΣ) bounded by Proposition 4.6 and lo⊂res(Ar), define
[TABLE]
For the remainder of this paper, we use the analyst’s inequality a≲b to mean that a≤Cb, there exists some C.
Typically, the dependence of the implicit constant will be clear from context or made explicitly clear in the analysis.
We write a≃b to mean a≲b and b≲a.
Lemma 4.7**.**
The operator ∣Ar∣ is invertible and ωr-sectorial with dom(∣Ar∣)=dom(Ar)=H1(Σ;E) with the norm estimate ∥Aru∥≃∥∣Ar∣u∥,
Proof.
Since the projectors χ±(Ar) are bounded, the domain equality dom(∣Ar∣)=dom(Ar)=H1(Σ;E) follows.
For the norm estimate, first note
[TABLE]
The reverse inequality follows similarly from Ar=sgn(Ar)∣Ar∣.
The operators Ar and ∣Ar∣ have the same eigenvectors and if λ is an eigenvalue of Ar then sgn(λ)λ is the corresponding eigenvalue of ∣Ar∣.
This shows ωr-sectoriality.
∎
Since we now have that ∣Ar∣ is an ωr-sectorial operator, we obtain the existence of a bounded holomorphic semigroup via standard semigroup theory (c.f. [Kato]).
We require this in later parts to define the boundary extension operator.
Proposition 4.8**.**
The operator family ζ↦exp(−ζ∣Ar∣) is holomorphic on the sector S2π−ωr∩C+ and for any ε∈(0,π/2−ωr), it is uniformly bounded on S2π−ωr−ε∩C+.
For u∈L2(EΣ), U(ζ)=exp(−ζ∣Ar∣)u solves the heat equation ∂ζU(ζ)=−∣Ar∣U(ζ) in L2(EΣ) with lim∣ζ∣→0U(ζ)=u.
Proof.
By Lemma 4.7, we have that ∣Ar∣ is a ωr-sectorial operator.
From Chapter 9, §6 in [Kato], the semigroup ζ↦exp(−ζ∣Ar∣) is holomorphic on S2π−ωr and is uniformly bounded on S2π−ωr−ε for each ε∈(0,π/2−ωr).
By holomorphicity of the semigroup, U solves the heat equation.
Equation (1.58) on page 491 of [Kato] yields lim∣ζ∣→0U(ζ)=U(0)=u.
∎
Remark 4.9**.**
In [Kato], the definition of a sectorial operator is what is known in the literature today as Kato-sectorial, which further assumes that the numerical range of the operator is also valued inside the sector.
However, the hypothesis on operator in Chapter 9 §6 of [Kato] (c.f. page 490) is precisely the modern notion of sectoriality which we have assumed and this is what allows us to assert the conclusion in this proposition.
See Remark 7.3.3 in [Haase] which further outlines these differences.
5. H∞-functional calculus and fractional Sobolev spaces
While in the previous section we showed the existence of the holomorphic semigroup, to treat certain estimates and properties of the semigroup in later parts, we will show that the operator ∣Ar∣ has an H∞-functional calculus.
Although this takes some effort to establish, we will see that our labours are well worth the fruit they bear as this is a fundamental property that affords us with the ability to overcome some of the kerfuffles that would otherwise arise in our analysis.
To recall the notion of an H∞-functional calculus, let T be an ω-sectorial operator on a Hilbert space H.
For μ>ω, let Ψ(Sμ∩C+) denote bounded the algebra of holomorphic functions ψ:Sμ∩C+→C for each of which there exists α>0 and C>0 satisfying
[TABLE]
Integrating along the unbounded contour
[TABLE]
for θ∈(ω,μ) defines the following functional calculus:
[TABLE]
for u∈H.
This is an absolutely convergent integral due to the decay of ψ and the resolvent bounds on T.
The operator ψ(T) is a bounded operator on H.
If there exists C>0 such that for every ψ∈Ψ(Sμ∩C+) satisfies:
[TABLE]
then we say that T has an H∞(Sμ∩C+), or simply an H∞-functional calculus.
This is due to the fact that for functions f:(Sμ∩C+)∪{0}→C bounded and holomorphic on Sμ∩C+, we can define f(T) as a bounded operator on H when T has an H∞-functional calculus.
More significantly, via the pioneering work of McIntosh in [Mc86], T has an H∞-calculus if and only if the following so-called quadratic estimates
[TABLE]
hold for all u∈ran(T) and some non-zero ψ∈Ψ(Sμ∩C+), or equivalently, for all such ψ.
Our goal is to establish quadratic estimates (12) for T=∣Ar∣ and H=L2(Σ;E) by demonstrating the H∞-functional calculus by other means.
Lemma 5.1**.**
The following hold:
(i)
χ±(Ar)∗* commute with Ar∗ on dom(Ar∗),*
2. (ii)
dom(Ar∗)=H1(Σ;E)* and χ±(Ar∗) are bounded projectors,*
3. (iii)
χ±(Ar)∗=χ±(Ar∗)* and sgn(Ar)∗=sgn(Ar∗), and*
4. (iv)
χ±(Ar∗)∣χ±(Ar)L2(Σ;E):χ±(Ar)L2(Σ;E)→χ±(Ar∗)L2(Σ;E)* and χ±(Ar)∣χ±(Ar∗)L2(Σ;E):χ±(Ar∗)L2(Σ;E)→χ±(Ar)L2(Σ;E) are isomorphisms.*
Proof.
To prove i, note that for u∈dom(Ar∗) and v∈dom(Ar),
[TABLE]
which shows that χ±(Ar)∗u∈dom(Ar∗).
On using the density of dom(Ar), we obtain i.
Assertion ii simply follows by applying the theory from section 4 to the operator Ar∗ in place of Ar which is again elliptic.
In particular, by elliptic regularity theory, we have that dom(Ar∗)=H1(Σ;E) and we can apply Proposition 4.6 to assert that χ±(Ar∗) are bounded projectors.
It suffices to prove iv for χ+(Ar∗)∣χ+(Ar)L2(Σ;E):χ+(Ar)L2(Σ;E)→χ+(Ar∗)L2(Σ;E), the other cases being analogous.
On the one hand, we have L2(Σ;E)=χ+(Ar)L2(Σ;E)⊕χ−(Ar)L2(Σ;E) and on the other hand,
[TABLE]
Lemma A.1 with H=L2(Σ;E), H1=χ+(Ar∗)L2(Σ;E), H1′=χ+(Ar)L2(Σ;E), and H2=χ−(Ar)L2(Σ;E) implies iv.
∎
With this device in hand, we are able to assert the existence of an H∞-functional calculus for both ∣Ar∣ and ∣Ar∗∣.
Proposition 5.2**.**
The operators ∣Ar∣ and ∣Ar∣∗ are invertible elliptic pseudo-differential operators of first order and they admit an H∞-functional calculus.
Moreover, ∣Ar∣∗=∣Ar∗∣.
Proof.
By Proposition 4.6∣Ar∣ and ∣Ar∣∗ are pseudo-differential operators of first order.
Since they are invertible they are elliptic.
In particular, dom(∣Ar∣)=dom(∣Ar∣∗)=H1(Σ;E) and ∥∣Ar∣∗u∥≃∥∣Ar∣u∥≃∥u∥H1.
Corollary 5.5 in [AMcN] (with s=t=1) yields that ∣Ar∣ and ∣Ar∣∗ have an H∞-functional calculus.
6. The model operator and boundedness of the extension
In this section, we proceed by using a key lemma from [BB12] (c.f. Lemma 6.1), which allows us to localise our considerations to a cylinder [0,T)×Σ, for some T>0 determined by 2.2.
As in Section 5 in [BB12], we analyse a simpler operator, the model operator, on the infinite cylinder [0,∞)×Σ.
In later sections, we will relate this analysis back to the original operator D.
For convenience, define
Z[0,r)=[0,r)×Σ for r∈(0,∞].
Lemma 6.1** (Lemma 2.4 in [BB12]).**
There exists a neighbourhood U around Σ in M, a constant Tc>0 and a diffeomorphism Φ=(t,ϕ):U→Z[0,Tc) such that
(i)
Σ=t−1(0),
2. (ii)
ΦΣ=idΣ,
3. (iii)
dΦ(T)=∂t* along Σ,*
4. (iv)
τ=dt* along Σ, and*
5. (v)
Φ∗(μ)=∣dt∣⊗ν.
In effect, this lemma allows us to localise our problem to the cylinder Z[0,Tc), but we routinely consider the infinite cylinder Z[0,∞) in order to not worry about the boundary at the end corresponding to the value Tc.
Define the model operator D0 associated with D given the adapted boundary operator A in Z[0,∞) is given by
[TABLE]
where we recall \upsigma0(x)=\upsigmaD(x,τ(x)).
It will also be useful to consider the following operator
[TABLE]
Now, letting r denote an admissible spectral cut as before, we define
[TABLE]
as well as the space
[TABLE]
normed by
[TABLE]
Similarly, define the space
[TABLE]
Analogous definitions can be made with Ar∗ in place of Ar.
Lemma 6.2**.**
For α∈R, the L2-inner product induces a perfect pairing
[TABLE]
and H±−α(Ar∗)≅(H±α(Ar))∗.
Proof.
Without loss of generality, we assume that α>0 and by the density of χ±(Ar∗)L2(Σ;E) in χ±(Ar∗)H−α(Σ;E), assume that u∈χ±(Ar∗)L2(Σ;E) and v∈χ±(Ar)Hα(Σ;E).
Then, by Cauchy-Schwarz inequality and Corollary 5.3,
[TABLE]
Now, note that ⟨⋅,⋅⟩:H−α(Σ;E)×Hα(Σ;E)→C is a duality, and in particular,
[TABLE]
Note that by Section 4 page 156 in [Kato], we have that
[TABLE]
and therefore we obtain that ⟨u,y⟩=⟨u,y+y′⟩ for all y′∈χ∓(Ar)Hα(Σ;E).
Then,
[TABLE]
Similarly, we obtain the estimate
[TABLE]
This shows that ⟨⋅,⋅⟩:χ±(Ar∗)H−α(Σ;E)×χ±(Ar)Hα(Σ;E)→C is a duality.
Therefore χ±(Ar∗)H−α(Σ;E) is embedded in (χ±(Ar)Hα(Σ;E))∗.
However, since H−α(Σ;E) and Hα(Σ;E) are reflexive, and χ±(Ar) and χ±(Ar∗) are projectors, we have that their ranges χ±(Ar)H−α(Σ;E) and χ±(Ar)Hα(Σ;E), as well as their counterparts with Ar∗ in place of Ar are closed, and therefore reflexive.
Hence the pairing induces an isomorphism χ±(Ar∗)H−α(Σ;E)≅(χ±(Ar)Hα(Σ;E))∗.
∎
Corollary 6.3**.**
The L2-inner product induces a perfect pairing
[TABLE]
and Hˇ(Ar)∗≅H^(Ar∗).
□
Despite the fact that it may seem that the space Hˇ(Ar) depends on the cut r, in the following, we show that it is independent of the cut.
Proposition 6.4**.**
Let r,q∈R be two admissible spectral cuts.
Then, we have that Hˇ(Ar)=Hˇ(Aq) with the norm equivalence ∥u∥Hˇ(Ar)≃∥u∥Hˇ(Aq).
Proof.
Without loss of generality, assume that q<r and fix u∈C∞(Σ;E) and recall that
[TABLE]
On noting that Ar,Aq,χ±(Ar),χ±(Aq) all commute on the domain dom(Ar)=dom(Aq)=H1(Σ;E) by functional calculus, and
[TABLE]
Moreover, χ−(Ar)χ+(Aq) is a pseudo-differential projector of order zero and χ−(Ar)χ+(Aq)Hα(Σ;E) and χ−(Aq)Hα(Σ;E) are complementary subspaces for any α∈R.
Note that these projectors are in general non-orthogonal in L2(Σ;E) and therefore,
[TABLE]
Since the projector χ−(Ar)χ+(Aq) has finite rank,
[TABLE]
Since q<r, we have
[TABLE]
and similar to our earlier observation,
[TABLE]
Combining these estimates,
[TABLE]
Since C∞(Σ;E) is dense in both Hˇ(Aq) and Hˇ(Ar), we have that Hˇ(Aq)=Hˇ(Ar) with equivalence of norms.
∎
As a result of this Proposition, we simply write Hˇ(A) rather than Hˇ(Ar) and ∥⋅∥Hˇ(A) for the norm.
Now, recall Tc>0 given by Lemma 6.1, and fix a smooth function η:R→[0,1] to satisfy:
[TABLE]
Then, for u∈C∞(Σ;E), define the boundary extension operators by
[TABLE]
The following lemma, which is a direct consequence of the fact that the operators ∣Ar∣ and ∣Ar∗∣ have an H∞-functional calculus, is the key observation required in the estimates we will prove.
Lemma 6.5**.**
For any α>0 and μ∈(0,π/2), the function
[TABLE]
and
[TABLE]
for all u∈L2(Σ;E).
Proof.
We note that for ∣ζ∣→0 or ∣ζ∣→∞, ∣ψα(ζ)∣→0 and it is easy to see that it is holomorphic.
This shows that ψα∈Ψ(Sμ) for any μ∈(0,π/2).
By Proposition 5.2, the ωr-sectorial invertible operators ∣Ar∣ and ∣Ar∗∣ have an H∞-functional calculus and so we obtain the required quadratic estimate in the conclusion.
∎
Recall that for an operator S, the graph norm is given by ∥⋅∥S2=∥S⋅∥2+∥⋅∥2.
Proposition 6.6**.**
For u∈C∞(Σ;E),
[TABLE]
Proof.
First, write D0,r=\upsigma0(∂t+Ar) and note that D0=D0,r+\upsigma0r.
It is easy to see that ∥u∥D0≃∥u∥D0,r and therefore, we use the latter norm to establish the required estimate.
The norm ∥Eu∥D0,r is then given by
Next, consider the case that u=χ+(Ar)u.
In this case, we have that ∣Ar∣u=Aru and therefore,
[TABLE]
Thus,
[TABLE]
On combining these estimates, we obtain the first inequality.
Finally, to consider the operator E∗, as before, we write (\upsigma0−1D0)r†=−(∂t−Ar†) and run the exact same argument with −Ar∗ in place of Ar for v∈C∞(Σ;E).
This gives us that ∥E∗v∥(\upsigma0−1D0)†≲∥v∥Hˇ(−Ar∗) and the conclusion follows on noting that Hˇ(−Ar∗)=H^(Ar∗).
∎
6.1. Maximal regularity and regularity in the cylinder
To establish the results we obtain in this subsection, the approach taken in [BB12] is to use the Fourier expansion afforded by the selfadjointness of the boundary operator and use ODE theory to obtain the desired results.
We are unable to take this approach in our setting since our boundary operator is non-selfadjoint in general and hence the eigenspaces need not span all of L2(Σ;E) and the generalised eigenspaces need not be orthogonal.
We use Banach-valued ODE theory instead.
Fix ρ∈(0,Tc), where Tc is from Lemma 6.1.
Given f∈L2(Z[0,ρ];E), we consider the following Banach-valued Cauchy problem
[TABLE]
Lemma 6.7**.**
For a given f∈L2(Z[0,ρ];E)), a unique solution W(t;f):L2(Σ;E)→C∞(Σ;E), t>0 to (22) exists and it is given by
[TABLE]
It satisfies the estimate
[TABLE]
The implicit constant depends on Tc but not on ρ.
Proof.
First note the identification L2(Z[0,ρ];E)≅L2([0,ρ];L2(Σ;E)).
Since L2(Σ;E) is a Hilbert space, it is γ-convex, which means that the Hilbert transform is bounded on Lp(R;L2(Σ;E)) for p∈(1,∞), cf. Remark 2.7 in [DV87].
Also, we have that ∣Ar∣ has bounded holomorphic functional calculus by Proposition 5.2.
This is equivalent to the fact that there exist K≥1 and θ>0 so that ∥∣Ar∣is∥≤Keθ∣s∣ for all s∈R by the theorem in Section 8 in [Mc86].
These facts verify the hypotheses of Theorem 2.1 in [GS91] and therefore, we obtain that the solution W(t;f) to (22) exists uniquely for a given f∈L2(Z[0,ρ];E) satisfying the estimate (24).
Formula (23) is standard.
∎
Using this, we define the following operator that is the crucial device for our treatment of regularity.
[TABLE]
Throughout, let us fix D0,r:=\upsigma0(∂t+Ar) and (Cρu)(s):=u(ρ−s).
Lemma 6.8**.**
The operator S0,r satisfies the following:
(i)
S0,ru(t)=W(t;χ+(Ar)u)−W(ρ−t;χ−(Ar)Cρu),
2. (ii)
χ+(Ar)(S0,ru)(0)=χ−(Ar)(S0,ru)(ρ)=0, and
3. (iii)
\upsigma0−1D0,rS0,r=1.
Proof.
Applying the coordinate transformation s→ρ−s to the second term in the definition of S0,r in (25) yields the formula in i.
Claim ii follows simply from the fact that the projector commutes with the functional calculus of the operator.
For iii, write u=u++u−, where u±=χ±(Ar)u.
Then it suffices to show that \upsigma0−1D0,rS0,ru±=u±.
Noting that S0,ru+(t)=W(t;u+) which solves (22), and since ∣Ar∣=Arsgn(Ar),
[TABLE]
This is exactly that \upsigma0−1D0,rS0,ru+(t)=u+(t).
Now, for u−, note that
[TABLE]
since χ−(Ar)sgn(Ar)=−χ−(Ar).
Then,
[TABLE]
Furthermore, we note that S0,r increases regularity.
Lemma 6.9**.**
The operator S0,r maps Hk(Z[0,ρ])→Hk+1(Z[0,ρ];E) boundedly, with the bound independent of ρ (but dependent on Tc).
Proof.
First, we consider the case k=0, and note that
[TABLE]
Now,
[TABLE]
where the first inequality follows from i in Lemma 6.8, the second from equation (24) in Lemma 6.7, and the third from noting that Cρ is an isometry of L2(Z[0,ρ];E).
For higher regularity, fix f∈dom(∣Ar∣l).
Differentiating (23) we get that
[TABLE]
and
[TABLE]
Moreover, since the metric on Z[0,ρ] is of product type, we have that
[TABLE]
Therefore, when f∈Hk(Z[0,ρ];E), then f∈∩l=0kdom(∂tk−l∣Ar∣l).
We show that whenever 0≤l≤k+1,
[TABLE]
For l=0,
[TABLE]
by functional calculus and (24) in Lemma 6.7.
When l≥1,
via (24) in Lemma 6.7 and since (l−1−m)+(k+1+m−l)=k.
Replicating this argument and using (27) instead of (26) and noting that Cρ is bounded on Hk(Σ;E), we get a similar estimate for t↦W(Cρ(⋅),f).
Thus, we obtain
[TABLE]
To finish the proof, let u∈Hk(Z[0,ρ]) and note
[TABLE]
where we use i in Lemma 6.8 in the first inequality, the estimate (6.1) in the second, the fact that Cρ commutes with χ±(Ar) and is bounded on Hk(Z[0,ρ]) in the third, and the fact that χ±(Ar) are pseudo-differential operators of order zero in the last.
∎
Define
[TABLE]
where we recall that H±21(A)=χ±(Ar)H21(Σ;E).
Moreover, for k≥1, define
[TABLE]
In the following proposition, we use some facts from the theory of Banach-valued calculus.
A standard reference is the book [CH], but an excellent overview of this topic is contained in [Kreuter].
Proposition 6.10**.**
Regard D0,r as an operator on L2(Z[0,ρ];E).
Then:
(i)
For all u∈dom((D0,r)max) satisfying χ−(Ar)(u(ρ))=0,
[TABLE]
2. (ii)
For all k≥0, the operator
[TABLE]
is an isomorphism with inverse S0,r\upsigma0−1.
Proof.
Write D0,ru(s)=D0,ru−(s)+D0,ru+(s) where u±=χ±(Ar)u and note
[TABLE]
Moreover, from
[TABLE]
and
[TABLE]
we obtain
[TABLE]
via the Banach-valued fundamental theorem of calculus.
For the remaining term, via i in Lemma 6.8, first observe that
[TABLE]
Also,
[TABLE]
On substituting this into (31) and again using the fundamental theorem of calculus for Banach-valued functions,
[TABLE]
where the penultimate equality follows from the assumption u−(ρ)=0.
The formula in the conclusion then follows by adding (30) and (32).
Noting S0,r:Hk(Z[0,ρ];E)→Hk+1(Z[0,ρ];E) boundedly by Lemma 6.9, \upsigma0−1 is smooth, and combining with what we have just proved, the second assertion follows.
∎
Remark 6.11**.**
For a general u, without assuming that χ−(Ar)(u(ρ))=0, the same argument would yield the equation:
[TABLE]
7. The maximal domain
In this section, we use the results from Section 6 to analyse the maximal domain of D.
This done via an adaption of Lemma 4.1 in [BB12] (c.f. Lemma 7.2) to obtain normal form for the operators D and D†.
Using this, in Lemma 7.3, we show that the extension operators are bounded for the operator D in place of D0.
There, we arguing in a similar way to Lemma 6.1 in [BB12], but using the H∞-functional calculus instead of Fourier series.
This allows us to obtain 7.4, which demonstrates the boundedness of the boundary restriction map.
Moreover, in order to move between the operators D and D0 in the later analysis, we prove a relatively boundedness result in Lemma 7.6.
The argument here is in the spirit of Lemma 5.2 in [BB12], which crucially relies on Lemma 7.5.
While this latter lemma is similar in conclusion to Lemma 5.1 in [BB12], its proof deviates significantly due to the fact that A is not necessarily selfadjoint in our setting.
The proof here obtained via maximal regularity considerations on the cylinder, which we demonstrated in Subsection 6.1.
Having gathered the required ingredients, we prove Theorems 2.3 and 2.4.
Lemma 7.1**.**
The space Cc∞(M;E) is dense in dom(Dmax) and Cc∞(M;F) is dense in dom(Dmax†).
Moreover, the operators D and D† satisfy the following Green’s formula:
[TABLE]
for all u∈Cc∞(M;E) and v∈Cc∞(M;F).
Proof.
The proof is identical to those of Lemmas 2.6 and 6.4 in [BB12].
∎
Lemma 7.2** (Lemma 4.1 in [BB12]).**
In coordinates Φ given by (6.1), over the cylinder Z[0,Tc), we have that
[TABLE]
for any pair of adapted boundary operators A and A~ for D and D†, respectively.
The remainder terms are pseudo-differential operators of order at most one, with coefficients depending smoothly on t and which satisfy the estimates:
[TABLE]
for u∈C∞(Σ;E) and v∈C∞(Σ;F).
Proof.
Write D=\upsigmat(∂t+Pt) where Pt are a family of elliptic differential operators of order one whose coefficients depend smoothly on t.
Therefore, writing Rt=Pt−A given such an A, we note that this is an operator whose coefficients depend smoothly on t and is of order at most one.
Noting that R0 is of order [math] and Σ is closed,
[TABLE]
where the second inequality follows from elliptic estimates.
The conclusion for R~t follows in exactly the same way.
∎
Given that we have the normal form D=\upsigmat(∂t+A+Rt) we obtain
[TABLE]
Lemma 7.3**.**
For all u∈C∞(Σ;E), the sections Eu,E∗u∈dom(Dmax) and
[TABLE]
Proof.
Via a simple calculation, we obtain that
[TABLE]
Since we have estimated the first term on the right by Proposition 6.6, it suffices to bound the latter term.
Now, note that
[TABLE]
and therefore,
[TABLE]
where the penultimate inequality follows from Lemma 6.5.
The estimate for ∥E∗u∥(\upsigma−1D)∗ is similar on replacing A with −A∗ and ∣Ar∣ with ∣Ar∗∣ and on noting that Hˇ(−A∗)=H^(A∗).
∎
Using this lemma, we obtain the following.
Lemma 7.4**.**
For all u∈Cc∞(Z[0,Tc);E), we have the bounds
[TABLE]
Proof.
From the Green’s formula (33), we have for ϕ∈Cc∞(M;E) and ψ∈Cc∞(M;F),
[TABLE]
On fixing v∈C∞(Σ;E) and setting ψ=(\upsigma−1)∗E∗v and ϕ=u, we have that
[TABLE]
since v=(E∗v)∣Σ.
Therefore,
[TABLE]
where the second inequality follows from the fact that ∥⋅∥L2≲∥⋅∥(\upsigma−1D)† and the last inequality from Lemma 7.3.
By taking a supremum over v∈C∞(Σ;E), which is dense in H^(A∗), and since this latter space is dual to Hˇ(A) via Corollary 6.3, we obtain the first estimate.
The remaining estimate is obtained by a similar calculation after making a choice of ϕ=Ev and ψ=(\upsigma−1)∗u.
∎
This demonstrates the well-posedness of boundary value problems and shows that the definition of Hˇ(A) is the correct function space for considering boundary value problems.
Now we set ourselves the task of identifying the maximal domain.
Unlike in selfadjoint case, this situation is slightly more subtle and later we are forced to calculate via a different, but equivalent norm on L2(Σ;E).
Lemma 7.5**.**
For all ρ∈(0,Tc) and u∈Cc∞(Z[0,ρ);E) with χ+(Ar)(u(0))=0, we have that
[TABLE]
The implicit constant depends on Tc but not on ρ.
Proof.
This statement follows from the inverse S0,r which we constructed for (∂t+Ar) on Z[0,ρ] in Subsection 6.1.
This operator satisfies S0,r:Hk(Z[0,ρ];E)→Hk+1(Z[0,ρ];E) and in Proposition 6.10, we obtain that
[TABLE]
whenever χ−(Ar)(v(0)),χ+(Ar)(v(ρ))∈H21(Σ;E).
Since sptu⊂Z[0,ρ) the desired conclusion follows.
∎
Since we need to consider the maximal domain of D on subsets of X⊂M, we use the notation dom(Dmax;X) to denote the maximal domain of D on X.
Lemma 7.6**.**
There exists C1>0 such that for all ρ∈(0,Tc) and u∈C∞(Z[0,ρ);E),
[TABLE]
Moreover, if ρ<1/C1, then dom(Dmax;Z[0,ρ))=dom(D0,max;Z[0,ρ)).
Proof.
The key is to write
[TABLE]
via Lemma 7.2 and note that it suffices to estimate t∥Au∥L2(Σ)=∥A(tu)∥L2(Σ).
But v=tu satisfies v(0)=0 and so by Lemma 7.5, the asserted inequality follows.
The existence of C1 independent of ρ is also guaranteed by Lemma 7.5.
Now, for the maximal domains, note that for the choice of ρ<1/C1,
∥(D−D0)u∥≤∥D0u∥+∥u∥,
and so we have that D−D0 and D0 are relatively bounded with constant less than 1.
Using Theorem 1.1 on page 190 in [Kato], and since Cc∞(Z[0,ρ);E) are dense in both dom(Dmax;Z[0,ρ)) and dom(D0,max;Z[0,ρ)) by the completeness assumption, we conclude that D and D0 have the same maximal domain on L2(Z[0,ρ);E).
∎
Now we study and characterise the maximal domain.
Put T~c:=min{Tc,1/C1}.
Define the space
[TABLE]
with norm
[TABLE]
where η~:R→[0,1] is a smooth cutoff function satisfying:
[TABLE]
With this, we obtain the following.
Lemma 7.7**.**
Whenever u∈Cc∞(M;E) with χ+(Ar)(u∣Σ)=0, we have that ∥u∥D≃∥u∥HD1.
Proof.
The easy direction is simply given by
[TABLE]
For the reverse direction, we have that η~u=u for t<T~c/2 and therefore, χ+(A)((η~u)∣Σ)=0.
Then,
[TABLE]
where the first inequality follows from Lemma 7.5 and the uniform boundedness of \upsigma0, the second from Lemma 7.6, and the last from the fact that η~∈Cc∞([0,T~c)).
By Lemma 7.1, we obtain that Cc∞(M;E) is dense in HD1(M;E) and Ccc∞(M;E) is dense in {u∈HD1(M;E):u∣Σ=0}.
This completes the proof.
∎
We have the following corollary that identifies the minimal domain of the operator.
Corollary 7.8**.**
We have that dom(Dmin)={u∈HD1(M;E):u∣Σ=0}.
□
Before presenting the key theorem of this section, we note the following which allows us to
dualise over the boundary defining subspaces of D and D†.
Recall that \upsigma0(x)=\upsigmaD(x,τ(x)).
Lemma 7.9**.**
Over the boundary Σ, the homomorphism field (\upsigma0−1)∗:E∣Σ→F∣Σ induces an isomorphism H^(A∗)→Hˇ(A~) where A~ is the adapted boundary operator for D†.
Moreover, β(u,v)=−⟨\upsigma0u,v⟩L2(Σ;F) for u∈Cc∞(Σ;E) and v∈Cc∞(Σ;F) extends to a perfect pairing β:Hˇ(A)×Hˇ(A~)→C.
Proof.
Fix u∈C∞(Σ;E).
We have that (\upsigma0−1)∗u∈C∞(Σ;F).
Then, on noting that (\upsigma0−1)∗u=(\upsigma−1)∗(E∗u)∣Σ,
[TABLE]
where the first inequality is obtained from invoking Lemma 7.4 applied to the operator D† and its associated adapted boundary operator A~, whereas the last inequality follows from Lemma 7.3.
Next, let E~ be the extension operator associated to A~r, that is explicitly E~v(t,⋅)=η(t)exp(−t∣A~r∣)v.
Since \upsigma0∗v=(\upsigma∗E~v)∣Σ,
[TABLE]
where the penultimate inequality follows from the fact that (\upsigma−1D)†\upsigma∗=D† and the final inequality from applying Lemma 7.3 to D†.
Therefore, β induces a perfect pairing as stated in the conclusion since the usual inner product in L2 induces a perfect paring between Hˇ(A) and H^(A∗).
∎
Putting these facts together, we now obtain a proof of Theorem 2.3.
To prove ii, note that Eu∈dom(Dmax) by Lemma 7.4.
By this same lemma and i, the trace map is a bounded map dom(Dmax)→Hˇ(A).
Since E:Hˇ(A)→dom(Dmax) is a right inverse of the trace map, surjectivity follows.
We prove iii.
Clearly, if u∈Hloc1(M;E) then u∣Σ∈H21(Σ;E) by the trace theorem.
For the converse, let uΣ∈C∞(Σ;E).
Here, we resort to the H∞-functional calculus of ∣Ar∣.
Then uΣ+:=χ+(Ar)(u∣Σ)∈C∞(Σ;E).
Now
[TABLE]
since DEuΣ+=(η′(t)+η(t)r)exp(−t∣Ar∣)uΣ+ given that χ−(Ar)uΣ+=0 and also since ∥EuΣ+∥≲∥∣Ar∣EuΣ+∥ by the invertibility of ∣Ar∣.
Thus,
[TABLE]
On noting that ∥∣Ar∣EuΣ+∥L2(Σ)2≤∥∣Ar∣exp(−t∣Ar∣)uΣ+∥L2(Σ)2, we obtain
[TABLE]
where the third inequality follows from Lemma 6.5.
Thus E restricts to a bounded map χ+(A)H21(Σ;E)→HD1(M;E).
Now let u∈dom(Dmax) such that uΣ:=u∣Σ∈H21(Σ;E).
Then u−EuΣ+∈dom(Dmax) and χ+(Ar)(u−EuΣ+)=0.
By Lemma 7.7, we obtain that u−EuΣ+∈HD1(M;E).
Since EuΣ+∈HD1(M;E) we have that u∈HD1(M;E).
The assertions for the operator D† mirrors this argument exactly, but with A replaced by A~, the adapted boundary operator for D† on F, and moreover, the integration by parts formula follows directly.
∎
Lemma 7.10**.**
There exists TR<Tc such that
[TABLE]
is an isomorphism.
Proof.
Note that from Lemma 7.2, we obtain that for any given ε>0, there exists a ρ<Tc such that
[TABLE]
for u∈Hk+1(Z[0,ρ];E).
Moreover, as noted in Lemma 6.9, the norm on the operator S0,r mapping Hk(Z[0,ρ];E)→Hk+1(Z[0,ρ];E) is independent of ρ.
On letting this constant be C, choose ε=1/2C and let TR be the corresponding ρ.
We conclude the proof by combining this with (39).
∎
Using this lemma, we prove the following main theorem, Theorem 2.4, of this section.
is immediate.
So we prove the opposite containment.
Assume that u∈dom(Dmax) with Du∈Hlock(M;F) and that χ+(Ar)u∣Σ∈Hk+21(Σ;E).
Multiplying with a cutoff function, interior elliptic regularity allows us to assume that sptu⊂Z[0,ρ) for, say ρ:=min{1/(2C1),TR}, where C1 is the constant in Lemma 7.6 and TR is given by Lemma 7.10.
By induction on k we can further assume that u∈Hlock(M;E).
Since Z[0,ρ] is compact, u∈Hk(Z[0,ρ];E) and Du∈Hk(Z[0,ρ];F).
By our choice of ρ, dom((D0,r)max;Z[0,ρ])=dom(Dmax;Z[0,ρ]).
As u∣{ρ}×Σ=0, we apply Proposition 6.10 to write
[TABLE]
For 0≤l≤k+1,
[TABLE]
by Lemma 6.5.
Thus, we conclude that u1∈Hk+1(Z[0,ρ];E).
Moreover, \upsigma0R0 is of order [math] and hence bounded as an operator Hk(Z[0,ρ];E)→Hk(Z[0,ρ];E).
Therefore
[TABLE]
By the construction of S0,r, we have u0∈Hk(Z[0,ρ];E;B0).
Again by our choice of ρ, Lemma 7.10 implies that
[TABLE]
is an isomorphism.
Therefore, there is a u~0∈Hk+1(Z[0,TR];E;B0) such that (D−\upsigma0R0)u~0=(D−\upsigma0R0)u0.
However, we have that u~0=u0 because (D−\upsigma0R0):Hk(Z[0,TR];E;B0)→Hk−1(Z[0,TR];F) is injective.
Therefore, u∈Hk+1(Z[0,ρ];E).
∎
8. Boundary value problems
In this section, we obtain a generalisation of statements in Section 7 in [BB12].
The results of the previous sections can be considered a suitable substitute for those of Sections 4–6 in [BB12] which furnishes us with the ability to define boundary conditions as well as consider a range of significant questions surrounding them.
We begin with Subsection 8.1, due to Theorem 2.3, we are able to formulate notions of boundary conditions quite simply mimicking [BB12].
We are then also able to understand the associated closed operators to boundary conditions as well as all closed extensions of the minimal operator via boundary conditions.
Moreover, we also obtain a description of the adjoint of an operator with a particular boundary condition via the formal adjoint with an associated adjoint boundary condition.
Then, in Subsection 8.2, we move on to the proof of Theorem 2.9, which is at the heart of this section.
Despite the tools made available to us in the previous sections, establishing this theorem is considerably harder than the version found in [BB12] as Theorem 7.11.
There, the authors were able to enjoy the luxury of orthogonality due to the selfadjointness of their adapted boundary operators.
It is precisely this which we cannot afford and which is at the heart of our complications.
A particular aspect of our troubles lie in the notion of an elliptic decomposition of a boundary condition with respect to an admissible cut parameter.
In [BB12], this definition involved four subspaces, but in our more general case, there are eight.
Therefore, much of the effort in this section is to prove Theorem 2.9, which although is similar in spirit to the proof of Theorem 7.11, is quite different in implementation.
We also consider boundary regularity in Subsection 8.3, again taking inspiration from Section 7.4 in [BB12].
There, we provide a proof of Theorem 2.12, which is the corresponding replacement and generalisation for Theorem 7.17 in [BB12].
An important class of boundary conditions are the so-called local and pseudo-local boundary conditions.
We consider these in Subsection 8.4 and provide a proof of Theorem 2.15.
This theorem generalises Theorem 7.20 in [BB12], with some of the directions argued exactly the same as they are simply consequences of well known results by Hörmander.
8.1. Boundary conditions and closed extensions
For a subspace U⊂∪r∈RHr(Σ;E), let Us be the closure of U∩Hs(Σ;E) in Hs(Σ;E), and similarly define Uˇ and U^.
We say B⊂Hˇ(A) is a boundary condition for D if it is a closed subspace in Hˇ(A).
This is justified as a consequence of ii in Theorem 2.3.
The domains of the associated operators are given by:
[TABLE]
Proposition 8.1**.**
We have that:
(i)
If Dc is a closed extension of D between Dcc and Dmax, then there exists a boundary condition B⊂Hˇ(A) such that Dc=DB,max.
2. (ii)
A boundary condition B is contained in H21(Σ;E) if and only if DB=DB,max.
In this case, ∥u∥HD1≃∥u∥D for all u∈dom(DB).
Proof.
By Theorem 2.3ii the restriction map induces an isomorphism dom(Dmax)/dom(Dmin)→Hˇ(A).
Since Dc is closed, dom(Dc) is a closed subspace of dom(Dmax) and B is its image in Hˇ(A).
The first part of assertion ii follows from Theorem 2.3iii.
As to the estimate, we assume w.l.o.g. that sptu⊂Z[0,ρ] for ρ so small that Lemma 7.6 and Proposition 6.10 are valid.
Then
[TABLE]
Define:
[TABLE]
The subspace B∗ is called the adjoint boundary condition and this nomenclature is justified by the following proposition.
Proposition 8.2**.**
We have that
[TABLE]
If further B⊂H21(Σ;E), then \upsigma0∗B∗=B⊥,H−21∩H^(A∗) where
[TABLE]
Here ⟨⋅,⋅⟩ denotes the pairing between H21(Σ;E) and H−21(Σ;E), that is, B⊥,H−21 is the annihilator of B in H−21(Σ;E).
Proof.
Note (DB,max)∗⊂(Dcc)∗=(D†)max where (DB,max)∗ is the adjoint of DB,max in L2(M;E).
This satisfies the equation
[TABLE]
for all u∈dom(DB,max) and v∈dom((DB,max)∗).
Therefore, by (2) in Theorem 2.3, we have that
[TABLE]
where we recall that this is the pairing between Hˇ(A) and Hˇ(A~) from Lemma 7.9.
Thus, the characterisation of the domain of (DB,max)∗ as given in the conclusion follows.
Now, assume that B⊂H21(Σ;E).
Then ⟨⋅,⋅⟩ agrees with the pairing H21(Σ;E)×H−21(Σ;E)→C.
Thus,
It suffices to prove (3).
The annihilators in H−21(Σ;E) of the following subspaces of H21(Σ;E) are given by
[TABLE]
Since, by assumption, g restricts to a map V−21→V+21 the dual map naturally extends to a map (V+∗)−21→(V−∗)−21.
From B=W+⊕{v+gv:v∈V−21} we have
[TABLE]
Since g∗ preserves H21-regularity,
[TABLE]
From Proposition 8.2 we recall that \upsigma0∗B∗=B⊥,H−21∩H^(A∗) which concludes the proof.
∎
Next, we demonstrate that ii implies iii.
This is considerably more involved than the proof of the corresponding result in the selfadjoint case given as Theorem 7.11 in [BB12].
Lemma 8.3**.**
Suppose W± and V± are mutually complementary subspaces such that χ±(Ar)L2(Σ;E)=W±⊕V± and that W± are finite dimensional.
Let P±:L2(Σ;E)→V± and Q±:L2(Σ;E)→W± be associated projectors that respect the decomposition
[TABLE]
Then, writing W±∗:=Q±∗L2(Σ;E) and V±∗:=P±∗L2(Σ;E), we have that:
(i)
V−∗⊕W−∗=χ−(Ar∗)L2(Σ;E)* and V+∗⊕W+∗=χ+(Ar∗)L2(Σ;E),*
2. (ii)
ker(P±∗)=V∓∗⊕W−∗⊕W+∗* and ker(Q±∗)=W∓∗⊕V−∗⊕V+∗,*
3. (iii)
dim(W±∗)=dim(W±).
Proof.
From the observation W±∩V±={0}, we have
[TABLE]
This proves χ±(Ar)=P±+Q±.
Therefore, on taking adjoints, we obtain assertion i.
Now, note that 1=P−∗+Q−∗+P+∗+Q+∗ and by the observation ker(P±∗)=(1−P∓∗)L2(Σ;E) and ker(Q±∗)=(1−Q∓∗)L2(Σ;E), we obtain ii
Since the ranks of Q± and Q±∗ coincide, assertion iii holds.
∎
Lemma 8.4**.**
Let V± and W± be closed subspaces of L2(Σ;E) as Lemma 8.3 with corresponding projectors P± and Q±.
In addition, assume W±⊂H21(Σ;E).
Then,
(i)
V±21=V±∩H21(Σ;E)* are closed in H21(Σ;E) and*
[TABLE]
2. (ii)
the spaces V±21 are dense in V±,
3. (iii)
the projectors P± restrict to bounded projectors
[TABLE]
If W±∗⊂H21(Σ;E), the same conclusions hold for V±∗, W±∗ and P±∗ and Q±∗ in place of V±,W±,P±,Q±.
Proof.
Since χ±(Ar)=P±+Q±, we have that P±=χ±(Ar)−Q±.
The first operator is a pseudo-differential operator of order [math] and the latter has range in H21(Σ;E) and finite rank.
Hence, P±21:H21(Σ;E)→H21(Σ;E) is bounded.
This shows iii.
Let v∈V±.
By density of H21(Σ;E) in L2(Σ;E), there exists vn∈H21(Σ;E) such that vn→v.
Then P±vn→P±v=v.
This shows ii.
The spaces W± and V±21 are ranges of H21-bounded projectors and hence closed in H21(Σ;E).
For u∈H21(Σ;E),
[TABLE]
with P±u∈V±21 as we have proved earlier.
This shows i.
∎
Lemma 8.5**.**
Let X be one of Hˇ(A), H^(A), Hˇ(A∗) or H^(A∗) and let Z⊂X be a closed subspace of X.
If Z⊂H21(Σ;E), then it is a closed subspace of H21(Σ;E) and moreover, ∥u∥H21≃∥u∥X.
Proof.
Set Y=H21(Σ;E) and note that we have ∥u∥X≲∥u∥H21.
All possible choices of X are Banach spaces and hence, we can apply Lemma A.2 to obtain that (Z,∥⋅∥H21) is a Banach space.
Thus, this satisfies the hypothesis of Lemma A.3 and hence, we obtain the desired conclusion.
∎
Define the following spaces:
[TABLE]
Proposition 8.6**.**
Let B and B∗ be as in Theorem 2.9ii.
Then, the following properties hold for the spaces listed in (41):
(i)
they are all closed subspaces of L2(Σ;E),
2. (ii)
χ±(Ar)L2(Σ;E)=V±⊕W±* and χ±(Ar∗)L2(Σ;E)=V±∗⊕W±∗,*
3. (iii)
W±,W±∗* are finite dimensional and contained in H21(Σ;E),*
4. (iv)
χ−(Ar)B* and χ+(Ar∗)\upsigma0∗B∗ are closed subspaces of H21(Σ;E).*
The first equivalence follows from Lemma 8.5 by the assumption that B is a boundary condition (i.e. B⊂Hˇ(Ar) is closed) and since B⊂H21(Σ;E).
Set X=B with norm ∥⋅∥X=∥⋅∥H21 and so we have that this is a Banach space by Lemma 8.5.
Let Y=χ−(Ar)H21(Σ;E) and Z=χ+(Ar)H−21(Σ;E).
Each of these are Banach spaces.
Moreover, χ+(Ar)∣B:B→H21(Σ;E)↪H−21(Σ;E) is a compact map since the latter embedding is compact.
By Proposition A.8, we obtain that χ−(Ar)∣B has closed range and finite dimensional kernel.
Now, one easily sees that ker(χ−(Ar)∣B)=B∩χ+(Ar)L2(Σ;E).
To obtain the corresponding conclusion for W−∗, we note that for v∈\upsigma0∗B∗,
[TABLE]
By invoking Proposition A.8 with X=\upsigma0∗B∗ with norm ∥⋅∥X=∥⋅∥H21, Y=χ+(Ar∗)H21(Σ;E), and Z=χ−(Ar∗)H−21(Σ;E), we obtain that χ+(Ar∗)∣\upsigma0∗B∗ has closed range and finite dimensional kernel.
This proves iv and that W+ and W−∗ are finite dimensional and contained in H21(Σ;E).
The latter fact for W− and W+∗ is simply from χ−(Ar) and χ+(Ar∗) both being pseudo-differential operators of order zero.
Observing that V+ is the orthogonal complement of W+ in χ+(Ar)L2(Σ;E) shows i–iii for V+ and W+ and similarly for V−∗ and W−∗.
Lemma 5.1iv then implies these assertions for the remaining spaces.
∎
Recall from before that we use the notation X⊥,Y to mean the annihilator of X in the space Y.
Lemma 8.7**.**
Let B and B∗ be as in Theorem 2.9ii.
Then the spaces
[TABLE]
Proof.
Let V~−21=χ−(Ar)B.
We prove the assertion in the following steps.
a)
Claim:W−∗=χ−(Ar)∗H−21(Σ;E)∩B⊥,H−21.
The containment ⊂ is clear by Proposition 8.2, so we prove the reverse containment.
Fix u∈χ−(Ar∗)H−21(Σ;E)∩B⊥,H−21.
Then u∈H^(A∗) and hence u∈B⊥,H−21∩H^(A∗)=\upsigma0∗B∗.
By assumption, \upsigma0∗B∗⊂H21(Σ;E) and therefore, χ−(Ar)∗H−21(Σ;E)∩B⊥,H−21⊂χ−(Ar∗)L2(Σ;E)∩\upsigma0∗B∗=W−∗.
✓
2. b)
Let u∈χ−(Ar)[(W−∗)⊥,L2∩χ−(Ar∗)L2(Σ;E)].
That is, u=χ−(Ar)u′, where u′∈(W−∗)⊥,L2∩χ−(Ar∗)L2(Σ;E).
Then, for w∈W−∗,
[TABLE]
which shows that u∈(W−∗)⊥,L2∩χ−(Ar)L2(Σ;E).
For the reverse inclusion, let u∈(W−∗)⊥,L2∩χ−(Ar)L2(Σ;E).
Then by Lemma 5.1iv, we have some u∗∈χ−(Ar∗)L2(Σ;E) such that u=χ−(Ar)u∗.
Therefore, for w∈W−∗
[TABLE]
and therefore, u∗∈χ−(Ar∗)L2(Σ;E)∩(W−∗)⊥,L2 and u=χ−(Ar)u∗.
✓
6. f)
Claim:χ−(Ar)B=V−∩H21(Σ;E).
[TABLE]
where the second is c, the third is d, and the fourth is e.
✓
Since χ−(Ar)B is closed in H21(Σ;E) by Proposition 8.6iv, we have that V−∩H21(Σ;E)=V−21.
The proof of χ+(Ar∗)\upsigma0∗B∗=(V+∗)21 is identical, with W+ in place of W−∗, χ+(Ar∗) in place of χ−(Ar) and χ+(Ar) in place of χ−(Ar∗).
∎
Lemma 8.8**.**
Let B and B∗ be as in Theorem 2.9ii.
Then the following hold:
(i)
(V±∗)−21=W±⊥,χ±(Ar∗)H−21,
2. (ii)
V±∗=(V±∗)−21∩L2(Σ;E),
3. (iii)
χ±(Ar∗)H−21(Σ;E)=(V±∗)−21⊕W±∗, and
4. (iv)
the L2-inner product induces a perfect pairing ⟨⋅,⋅⟩:(V±∗)−21×V±21→C.
Proof.
It is immediate that (V−∗)−21=W−⊥,χ−(Ar∗)H−21 from the definition of V−∗.
For the other case, let (V~+∗)−21:=W+⊥,χ+(Ar∗)H−21.
On mirroring the argument of e in the proof of Lemma 8.7 replacing χ−(Ar) by χ+(Ar∗), W−∗ by W+ and χ−(Ar∗) by χ+(Ar), we obtain that V+∗=(V~+∗)−21∩L2(Σ;E).
By density of V+∗ in (V+∗)−21, we obtain that (V+∗)−21=W+⊥,χ+(Ar∗)H−21.
By Proposition 8.6i, V±∗ is a closed subspace of L2(Σ;E), hence ii holds by definition.
From Proposition 8.6ii we have V±∗⊕W±∗=χ±(Ar∗)L2(Σ;E).
Since W±∗ is finite-dimensional by Proposition 8.6iii, completion in H−21(Σ;E) yields iii.
Recall by Lemma 6.2 that the L2-inner product induces a perfect pairing ⟨⋅,⋅⟩:χ±(Ar∗)H−21(Σ;E)×χ±(Ar)H21(Σ;E)→C.
Write χ±(Ar)H21(Σ;E)=(V±)21⊕W± and χ±(Ar∗)H−21(Σ;E)=(V±∗)−21⊕W±∗.
Now i implies iv.
∎
We prove that ii implies iii, and consider the spaces in (41).
By Proposition 8.6, they satisfy i and ii in Definition 2.6.
Moreover, by Lemma 8.7, V−21=χ−(Ar)B and (V+∗)21=χ+(Ar∗)\upsigma0∗B∗.
Define the maps
[TABLE]
We claim that both these maps are bounded and invertible isomorphisms onto their ranges.
For that, let x∈χ−(Ar)B, that is, x=χ−(Ar)b for some b∈B.
Then,
[TABLE]
since χ−(Ar)∘PW+,W+⊥=0.
Now,
[TABLE]
because W+⊂B.
This shows that X− is surjective.
To show that it is injective, let u∈B∩W+⊥ such that 0=X−u.
That is, u∈ker(χ−(Ar))=χ+(Ar)L2(Σ;E) and putting this together, we have that
[TABLE]
Thus, we have a continuous bijection between two closed subspaces and so by the open mapping theorem, the inverse is also continuous.
The assertion for X+∗ follows by a similar argument.
Next, put
[TABLE]
Observe that P++Q+=χ+(Ar) and P−∗+Q−∗=χ−(Ar∗).
We define the maps g0:χ−(Ar)B→V+ and h0:χ+(Ar∗)\upsigma0∗B∗→V−∗ by
[TABLE]
By Lemma 8.4, we have that P+ and P−∗ restrict to H21-bounded maps on H21(Σ;E) and therefore, it is clear that g0(V−21)⊂V+21 and h0((V+∗)21)⊂(V−∗)21.
Now, we show that B=W+⊕{v+g0v:v∈V−21}.
It is clear that W+⊂B by definition, so fix v∈V−21=χ−(Ar)B.
Then, for u:=(X−)−1v∈B∩W+⊥ we have
[TABLE]
Since Q+u∈W+⊂B, we have v+g0v∈B.
That shows the containment “⊃”.
For the reverse, take b∈B, and note that b=b⊥+b+, where b⊥∈B∩W+⊥ and b+∈W+.
Then, v:=X−b⊥∈χ−(Ar)B and therefore,
[TABLE]
But Q+(X−)−1v∈W+ so b=w++(v+g0v) where w+=(b++Q+(X−)−1v)∈W+.
This shows B=W+⊕{v+g0v:v∈V−21}.
A similar argument shows that \upsigma0∗B∗=W−∗⊕{u+h0u:u∈(V+∗)21}.
Let g0∗:(V+∗)−21→(V−∗)−21 the map adjoint to g0, characterised by ⟨v,g0∗u⟩=⟨g0v,u⟩ for u∈(V+∗)−21 and v∈V−21.
We prove g0∗((V+∗)21)⊂(V−∗)21 by showing g0∗=−h0 on (V+∗)21, since we have already shown that h0((V+∗)21)⊂(V−∗)21.
Fix u∈(V+∗)21 and take v∈V−21.
From the decompositions of B and \upsigma0∗B∗ and ⟨B,\upsigma0∗B∗⟩=⟨V−,V+∗⟩=⟨V−∗,V+⟩=0, we obtain that 0=⟨v+g0v,u+h0u⟩=⟨g0v,u⟩+⟨v,h0u⟩.
Hence,
[TABLE]
and since V−21 is dense in V−, we obtain that g0∗u=−h0u.
Similarly, we have g0v=−h0∗v for all v∈V−21.
It remains to show that g0 can be extended to a continuous map V−→V+.
We have already seen that −h0∗ extends g0 to a continuous map (V−)−21→(V+)−21.
In order to show −h0∗(V−)⊂V+ and (−h0∗)∣V−:V−→V+ is bounded it suffices to prove
[TABLE]
where the right hand side denotes the complex interpolation space.
Since [H21(Σ;E),H−21(Σ;E)]θ=21=L2(Σ;E), χ±(Ar) is a pseudo-differential projector of order [math], and W± is a closed subspace of H21(Σ;E), we have
This establishes the equivalence between i–iv.
Since v⇒vi is immediate, to demonstrate the remaining equivalences, it suffices to establish ii⇒v and vi⇒ii.
Fix r∈R an admissible spectral cut as given by vi.
We need to show that B is closed in Hˇ(A) and that B∗⊂H21(Σ;F).
Observe that B+χ+(Ar)H21(Σ;E)=χ−(Ar)B⊕χ+(Ar)H21(Σ;E) using Lemma A.4 with Z=H21(Σ;E), X=χ+(Ar)H21(Σ;E) and Y=χ−(Ar)H21(Σ;E) and W=B.
This also yields that χ−(Ar)B is closed in H21(Σ;E) since B+χ+(Ar)H21(Σ;E) is closed by the fact that (B,χ+(Ar)H21(Σ;E)) is a Fredholm pair in H21(Σ;E).
Next, note that χ−(Ar)B⊂χ−(Ar)H21(Σ;E)=χ−(Ar)Hˇ(A)⊂Hˇ(A).
Therefore, χ−(Ar)B is, in fact, a closed subspace in Hˇ(A).
Now, on setting Z=Hˇ(A), X=χ+(Ar)H−21(Σ;E) and Y=χ−(Ar)H21(Σ;E) and W=B, by Lemma A.4, we have that B+χ+(Ar)H−21(Σ;E)=χ−(Ar)B⊕χ+(Ar)H−21(Σ;E).
The latter is a closed subspace in Hˇ(A) since χ−(Ar)B is closed in Hˇ(A).
Let W+:=χ+(Ar)H−21(Σ;E)∩B.
Since B⊂H21(Σ;E), we have that W+=χ+(Ar)H21(Σ;E)∩B.
This is finite dimensional since (B,χ+(Ar)H21(Σ;E)) is a Fredholm pair in H21(Σ;E).
Since W+⊂B, we can write
[TABLE]
Moreover, since W+⊂χ+(Ar)H−21(Σ;E) and also W+⊂H21(Σ;E),
[TABLE]
Note also that
[TABLE]
Combining this along with (43) and (44), we obtain
[TABLE]
From Corollary 4.13 in Chapter IV, Section 4.2 in [Kato], we obtain that
((B⊥,H21)⊥,−H−21,χ+(Ar)H−21(Σ;E)) is a Fredholm pair in H−21(Σ;E).
Let Bˇ:=(B⊥,H21)⊥,−H−21∩Hˇ(A)=(B⊥,H21)⊥,Hˇ(A).
Setting X=(B⊥,H21)⊥,−H−21, Y=χ+(Ar)H−21(Σ;E) and W=Hˇ(A) and invoking Lemma A.6, we obtain that (Bˇ,χ+(Ar)H−21(Σ;E)) is a Fredholm pair in Hˇ(A).
Set Z=Hˇ(A), X=B, X′=Bˇ, and Y=χ+(Ar)H−21(Σ;E)∩W+⊥,H−21.
By construction, Bˇ is an annihilator and hence closed in Hˇ(A).
It is readily seen that B⊂Bˇ.
Moreover, by the fact that (Bˇ,χ+(Ar)H−21(Σ;E)) is a Fredholm pair in Hˇ(A), we obtain that Bˇ∩χ+(Ar)H−21(Σ;E) is finite dimensional.
Therefore, so is Bˇ∩χ+(Ar)H−21(Σ;E)∩W+⊥,H−21.
Thus we can apply Lemma A.5 to Z, X, X′, and Y and conclude that B⊕(Bˇ∩χ+(Ar)H−21(Σ;E)∩W+⊥,H−21) is closed in Hˇ(A).
To prove that B itself is closed we show that Bˇ∩χ+(Ar)H−21(Σ;E)∩W+⊥,H−21=0.
For that, we show that Bˇ∩χ+(Ar)H−21(Σ;E)=B∩χ+(Ar)H−21(Σ;E)=W+.
It is immediate that B∩χ+(Ar)H−21(Σ;E)⊂Bˇ∩χ+(Ar)χ+(Ar)H−21(Σ;E).
To obtain the opposite inclusion, it suffices to show that \dim\big{(}\check{B}\cap\chi^{+}(A_{r}){\rm H}^{-\frac{1}{2}}(\Sigma;E)\big{)}\leq\dim\big{(}{B}\cap\chi^{+}(A_{r}){\rm H}^{-\frac{1}{2}}(\Sigma;E)\big{)}.
Letting B^=B⊥,H^(A∗),
[TABLE]
where the first and last equalities follow from Theorem 4.8 in Section 4 of Chapter 4 in [Kato], the inequality from B⊥,H21⊂B^, and the remaining equalities from Lemma A.4.
To show that B∗⊂H21(Σ;F) we show that B⊥,H^(A∗)=B⊥,H21.
For this, we first demonstrate that (B,χ+(Ar)H−21(Σ;E)) is a Fredholm pair in Hˇ(A) with the same index as (B,χ+(Ar)H21(Σ;E)) in H21(Σ;E).
It is clear that both B and χ+(Ar)H−21(Σ;E) are closed in Hˇ(A).
As we have noted previously, B∩χ+(Ar)H−21(Σ;E)=B∩χ+(Ar)H21(Σ;E) and therefore have the same finite dimension.
As before, setting Z=Hˇ(A), X=χ+(Ar)H−21(Σ;E), Y=χ−(Ar)H21(Σ;)E, and W=B, by Lemma A.4, we obtain B+χ+(Ar)H−21(Σ;E) is closed in Hˇ(A) since χ−(Ar)B is closed in Hˇ(A) and that
[TABLE]
Setting Z=H21(Σ;E), X=χ+(Ar)H21(Σ;E), Y=χ−(Ar)H21(Σ;E) and W=B, again by Lemma A.4, we obtain
[TABLE]
On combining these two isomorphisms, we conclude that (B,χ+(Ar)H−21(Σ;E)) is a Fredholm pair in Hˇ(A) with the same index as (B,χ+(Ar)H21(Σ;E)).
Since χ−(Ar∗)H−21(Σ;E)=χ+(Ar)H−21(Σ;E)⊥,H^(A∗), from Corollary 4.13 in Chapter IV, Section 4.2 in [Kato], we conclude that (B⊥,H^(A),χ−(Ar∗)H−21(Σ;E)) is a Fredholm pair in H^(A∗).
By repeating the argument that allowed us to obtain (B,χ+(Ar)H−21(Σ;E)) as a Fredholm pair in Hˇ(A) with the same index as (B,χ+(Ar)H21(Σ;E)), but with B replaced with B⊥,H21, χ+(Ar)H−21(Σ;E) with
χ−(Ar∗)H−21(Σ;E) and Hˇ(A) with H^(A∗), allows us to conclude that (B⊥,H21,χ−(Ar∗)H−21(Σ;E)) is a Fredholm pair in H^(A∗) with the same index as (B⊥,H21,χ−(Ar∗)H21(Σ;E)).
Next, using the fact that index(B⊥,H21,χ−(Ar∗)H−21(Σ;E))=−index(B,χ+(Ar)H21(Σ;E)), we obtain that
[TABLE]
This along with the fact that B⊥,H21⊂B⊥,H^(A) yields B⊥,H21=B⊥,H^(A) via Lemma A.7.
∎
Fix any admissible spectral cut r∈R.
By ii, B is a closed subspace of H21(Σ;E).
Using iii,
[TABLE]
and
[TABLE]
Hence, (χ+(Ar)H21(Σ;E),B) is a Fredholm pair with index dimW+−dimW−.
By Proposition 8.2, B⊥,H^(A∗)=\upsigma0∗B∗ and by iiB∗⊂H21(Σ;F), thus B⊥,H21=\upsigma0∗B∗.
Using (3), we see that B⊥,H21=W−∗⊕{u−g∗u:u∈(V+∗)21}.
Arguing as above, we see that (χ−(Ar∗)H21(Σ;E),B⊥,H21) is a Fredholm pair with index dimW−∗−dimW+∗.
Remark 2.7 shows that index(χ+(Ar)H21(Σ;E),B)=−index(χ−(Ar∗)H21(Σ;E),B⊥,H21).
∎
8.3. Boundary regularity
Recall the notion of an (s+21)-semiregular boundary condition from Definition 2.11, by which we mean that W+⊂Hs(Σ;E) and g(V−s)⊂V+s.
It is (s+21)-regular if further W−∗⊂Hs(Σ;E) and g∗((V+∗)s)⊂(V−∗)s.
Lemma 8.9**.**
Let B be an elliptic boundary condition.
For s≥21, the following are equivalent:
(i)
There exist an admissible spectral cut r such that B is (s+21)-semiregular w.r.t. r.
2. (ii)
For all admissible spectral cuts r we have that B is (s+21)-semiregular w.r.t. r.
3. (iii)
There exists an admissible spectral cut r, such that whenever u∈B with χ−(Ar)u∈Hs(Σ;E) we have that u∈Hs(Σ;E).
4. (iv)
For any admissible spectral cut r, whenever u∈B with χ−(Ar)u∈Hs(Σ;E) we have that u∈Hs(Σ;E).
Proof.
The implications ii⇒i and iv⇒iii are clear.
The implications i⇒iii and ii⇒iv are easy.
If r1 and r2 are admissible spectral cuts, then the difference of the spectral projectors χ−(Ar1) and χ−(Ar2) is smoothing.
This shows iii⇒iv.
It remains to show iii⇒i.
Since W+⊂B and χ−(Ar)w+=0∈Hs(Σ;E) for w+∈W+, we have by iii that w+∈Hs(Σ;E), which shows that W+⊂Hs(Σ;E).
Now, let v∈V−s.
Then v+gv∈B, hence χ−(Ar)(v+gv)=v∈Hs(Σ;E).
By iii, v+gv∈Hs(Σ;E) and therefore gv∈Hs(Σ;E).
∎
Fix u∈dom(DB) such that Dmaxu∈Hlock(M;F).
Since k<m, B is (k+21)-semiregular.
a)
W.l.o.g., assume that sptu⊂Z[0,ρ]=[0,ρ]×Σ for some ρ<1 to be chosen sufficiently small so that dom((D0,r)max;Z[0,ρ])=dom(Dmax;Z[0,ρ]).
Through induction, we assume u∈Hlock(Σ;E) as well as D0,ru∈Hk(Z[0,ρ];F).
2. b)
Let η:[0,ρ]→[0,1] be a smooth cutoff such that η=1 on [0,4ρ] and η=0 on [43ρ,ρ].
Set
Hence, we obtain that v∈Hk+1(Z[0,ρ];E) because S0,r:Hk(Z[0,ρ]];E)→Hk+1(Z[0,ρ];E) by Lemma 6.9.
4. d)
Putting this together, we have that v∈dom((D0,r)max;Z[0,ρ])∩Hk+1(Z[0,ρ];E).
By the properties of the trace map, we obtain that v(0)∈Hk+21(Σ;E).
That is, χ−(Ar)u∣Σ=v(0)∈Hk+21(Σ;E).
5. e)
Moreover, u∣Σ=u0−+gu0−+w+∈V−⊕V+⊕W+ since B is an elliptic boundary condition.
Therefore, χ−(Ar)u∣Σ=u0− and we have that u0−∈Hk+21(Σ;E).
6. f)
Since B is (k+21)-semiregular, gu0+∈Hk+21(Σ;E).
Also, we have that W+⊂Hk+21(Σ;E) and therefore,
χ+(Ar)u∣Σ∈Hk+21(Σ;E).
7. g)
Since we have by hypothesis that Dmaxu∈Hlock(M;F) and that χ+(Ar)u∣Σ∈Hk+21(Σ;E), by Theorem 2.4, we obtain that u∈Hlock+1(M;E).
∎
8.4. Local and pseudo-local boundary conditions
Recall from Definition 2.13 that a boundary condition B⊂H21(Σ;E) is local if if there exists a subbundle E′⊂E∣Σ such that B=H21(Σ;E′).
More generally, Definition 2.14 describes the notion of a pseudo-local boundary condition, where we write B=PH21(Σ;E)Hˇ(A) for P a classical pseudo-differential projector of order zero.
Fix an admissible spectral cut r∈R.
The equivalence of ii and iii is obtained by invoking Theorems 19.5.1 and 19.5.2 in [H94].
We show that iii and iv are equivalent.
By Lemma A.9, we obtain that \upsigmaP−χ+(Ar)(x,ξ)=\upsigmaP(x,ξ)−\upsigmaχ+(Ar)(x,ξ) is an isomorphism if and only if \upsigmaP(x,ξ):ker(\upsigmaχ+(Ar)(x,ξ))→\upsigmaP(x,ξ)(Ex) and \upsigmaP∗(x,ξ):ker(\upsigmaχ+(Ar∗)(x,ξ))→\upsigmaP∗(x,ξ)(Ex) are isomorphisms.
The projectors χ+(Ar) and χ+(Ar∗) are classical pseudo-differential operators of order zero by Theorem 3.2 in [Grubb].
By Theorem 3.3 in [Grubb], their symbols \upsigmaχ+(Ar)(x,ξ) and \upsigmaχ+(Ar∗)(x,ξ) are given as contour integrals around the spectrum with positive real part of i\upsigmaAr(x,ξ) and i\upsigmaAr∗(x,ξ), respectively.
Therefore, ker(\upsigmaχ+(Ar)(x,ξ)) and ker(\upsigmaχ+(Ar∗)(x,ξ)) are respectively the sums of the generalised eigenspaces of i\upsigmaAr(x,ξ) and i\upsigmaAr∗(x,ξ) with negative real part.
This proves the equivalence between iii and iv.
To show that iii implies i, note that since P is a pseudo-differential operator of order zero, we have that
[TABLE]
boundedly.
Since P is a projection, PH21(Σ;E) is closed in H21(Σ;E).
To show that it defines a boundary condition, that is, that B is a closed subset of Hˇ(A), we use Theorems 19.5.1 and 19.5.2 in [H94] to obtain the existence of a pseudo-differential operator R of order zero and a smoothing operator S to write:
[TABLE]
Now, note that for u∈B,
[TABLE]
since P−χ+(Ar)=1−χ+(Ar)=χ−(Ar) on B.
Moreover, since S is smoothing,
[TABLE]
Combining these estimates, we get that ∥u∥H21≃∥u∥Hˇ(A) and therefore, B is a boundary condition.
In order to see \upsigma0∗B∗⊂H21(Σ;E), observe
[TABLE]
Since P∗−χ+(Ar∗) is also a classical elliptic pseudo-differential operator of order zero, we obtain R′ a pseudo-differential operator of order zero and S′ a smoothing operator such that R′(P∗−χ+(Ar∗))=1+S′.
Then,
[TABLE]
since v∈ker(P∗).
Noting that χ+(Ar∗)v∈H21(Σ;E) and S′v∈C∞(Σ;E),
we obtain the conclusion.
Finally, we prove that i implies ii.
For this, write B=PH21(Σ;E)=W+⊕{v+gv:v∈V−21}.
Since P is a pseudo-differential projector of order zero, we have that PL2(Σ;E)=W+⊕{v+gv:v∈V−}.
Let
[TABLE]
and let g∗,N:V+→V− the adjoint with respect to this scalar product.
Note that with respect to this scalar product χ+(Ar)L2(Σ;E)⊥χ−(Ar)L2(Σ;E) and that V−⊥V+.
Then, we obtain that V−⊕⊥V+=graph(g)⊕⊥graph(−g∗,N).
Moreover, is it easy to see that
[TABLE]
is the orthogonal projection (with respect to ⟨⋅,⋅⟩N).
But then, P(V−⊕V+)=graph(g) and so
[TABLE]
Now,
[TABLE]
and hence,
[TABLE]
is an isomorphism.
But W+ and W− are finite dimensional subspaces and hence P−χ+(Ar) is Fredholm.
∎
Let P:Ex→Ex′ and P~:Fx→(F′)x⊥=(\upsigma0−1)∗(Ex′)⊥ be orthogonal projections.
We verify condition iii in Lemma A.9 with a choice of P as given here and Q=\upsigmaχ+(Ar)(x,ξ).
By the Lopatinsky-Schapiro condition for B, for every x∈M, ξ∈Tx∗M∖{0} and each e∈Ex′, there exists a unique u:[0,∞)→Ex′ such that
[TABLE]
The solution to (45) is given by u(t)=exp(−ti\upsigmaA(x,ξ))u(0).
On writing i\upsigmaA(x,ξ) in Jordan normal form, one easily sees that the condition limt→∞u(t)=0 is equivalent to u(0)∈χ+(i\upsigmaA(x,ξ))(Ex), which is the sum of generalised eigenspaces of i\upsigmaA(x,ξ) to eigenvalues with positive real part.
Thus, P restricts to an isomorphism \upsigmaχ+(Ar)(x,ξ)(Ex)→Ex′.
Given a ξ, applying the condition instead to −ξ and using the R-linearity of η↦i\upsigmaA(x,η),
[TABLE]
That is, P also restricts to an isomorphism ker(\upsigmaχ+(Ar)(x,ξ)→Ex′=PEx.
Next, we use the Lopatinsky-Schapiro condition for B∗.
This exactly means that for x∈Σ and ξ=0 fixed, and f~∈(Fx′)⊥, there is a unique v~:[0,∞)→(Fx′)⊥ so that P~v~(0)=f~, (∂t+i\upsigmaA~(x,ξ))v~(t)=0 and limt→∞v~(t)=0.
Recall that \upsigmaA~(x,ξ)=(\upsigma0−1)∗\upsigmaA∗(x,ξ)\upsigma0∗.
Then, on setting v⊥:=\upsigma0∗v~:[0,∞)→(E′)x⊥, from the invertibility of \upsigma0, we obtain
[TABLE]
Since (Fx′)⊥=(\upsigma0−1)∗(Ex′)⊥, given any e⊥∈(Ex′)⊥ and setting f~:=(\upsigma0−1)∗e⊥, we obtain a unique v⊥:[0,∞) with (1−P)v⊥=e⊥ satisfying (46).
That is precisely that (1−P):\upsigmaχ+(Ar)(x,ξ)(Ex)→kerP is an isomorphism.
Therefore, by Lemma A.9iii, we obtain that P−\upsigmaχ+(Ar)(x,ξ) is an isomorphism.
By Theorem 2.15iii, B and B∗ are elliptic boundary conditions for D and D†, respectively.
To see that B⊥ and (B∗)⊥ are also elliptic boundary conditions, fix x∈M and ξ=0.
By applying what we have just shown to −ξ, we deduce that P−\upsigmaχ+(Ar)(x,−ξ) is an isomorphism.
Then,
[TABLE]
This shows that (1−P)−\upsigmaχ+(Ar)(x,ξ) is an isomorphism and hence, by Theorem 2.15iii, we obtain that B⊥ and (B∗)⊥ are also elliptic boundary conditions for D and D†, respectively.
These boundary conditions are local, hence pseudo-local and thus ∞-regular by Corollary 2.16.
∎
We first note that Theorem 8.5 in [BB12], which states that D is coercive if and only if DB has finite-dimensional kernel and closed range, holds in our setting.
Its proof only uses the fact that dom(DB)⊂Hloc1(M;E) and dom(DB∗†)⊂Hloc1(M;F) since B is an elliptic boundary condition.
Since we assume that both D and D† are coercive at infinity, we obtain that both operators have finite-dimensional kernels and that their ranges are closed.
Coupling this with the simple fact that L2(M;E)=ker(DB)⊕ran(DB∗†) and L2(M;F)=ker(DB∗†)⊕ran(DB), we obtain
The statement ii follows simply on invoking Proposition A.1 in [BB12].
For the proof of iii, fix two complements C and C′ of B and B′ with C⊂C′.
These complements exist since Hˇ(A) is a Hilbert space.
Let Pˇ and Pˇ′ be the projectors with kernels B and B′ respectively and ranges C and C′.
Define Qu:=Pˇu∣Σ and Q′u:=Pˇu′∣Σ.
This yields the following commutative diagram
[TABLE]
where ι:C↪C′ is the inclusion map.
By ii, the maps (D,Q) and (D,Q′) are Fredholm and therefore, so is id⊕ι.
Then,
[TABLE]
and the desired index formula follows.
∎
Appendix A Auxiliary functional analytic facts
By PA,B, denote the projector with range A and kernel B.
Lemma A.1**.**
Let H be a Hilbert space such that H=H1⊕H2 where H1,H2⊂H are closed subspaces.
Let H1′ be another closed subspace such that H=H1′⊕H2.
Then, PH1,H2∣H1′:H1′→H1 is an isomorphism with bounded inverse.
Proof.
Let u∈H1 and note that
[TABLE]
because PH1,H2∘PH2,H1′=0.
This shows surjectivity.
Now, let u∈H1′ and suppose that PH1,H2u=0.
But then, u∈ker(PH1,H2)=H2 and so, u∈H1′∩H2={0}, which shows that the map is injective.
Since it is a bounded map on all of H1, it is bounded, and by the closedness of H1 and the open mapping theorem, we can conclude that it has a bounded inverse.
∎
Lemma A.2**.**
Let (X,∥⋅∥X) be a Banach space and Y⊂X a subspace (not necessarily closed in ∥⋅∥X) for which (Y,∥⋅∥Y) is a Banach space satisfying ∥u∥X≲∥u∥Y for all u∈Y.
Then, if Z⊂X is a closed subspace with respect to ∥⋅∥X, then Z∩Y is closed Y with respect to ∥⋅∥Y.
Proof.
Let un∈Z∩Y be Cauchy in ∥⋅∥Y.
Then, there exists y∈Y such that un→y in ∥⋅∥Y.
Moreover, since un∈Y, we have that ∥un−um∥X≲∥un−um∥Y so un is Cauchy in X, and therefore, by the closedness of Z, there exists z∈Z such that un→z in ∥⋅∥X.
Now, y,un∈Y for all n and therefore, ∥un−y∥X≲∥un−y∥Y by hypothesis, which proves that un→y in X.
Therefore, y=z which completes the proof.
∎
Lemma A.3**.**
Let (X,∥⋅∥1) and (X,∥⋅∥2) be Banach spaces for which ∥⋅∥1≲∥⋅∥2.
Then, ∥⋅∥1≃∥⋅∥2.
Proof.
The hypothesis implies that id:(X,∥⋅∥1)↪(X,∥⋅∥2) is continuous.
By the open mapping theorem, it is an isomorphism.
∎
Lemma A.4**.**
Let Z be a Banach space and X,Y⊂Z be complementary closed subspaces such that Z=X⊕Y.
For any subspace W⊂Z, we have
[TABLE]
Moreover PY,XW is closed if and only if X+W is closed.
In this case,
[TABLE]
Proof.
Let x+w∈X+W.
Then,
[TABLE]
Now, for x+PY,Xw∈X⊕PY,XW, we have that
[TABLE]
Now assume that PY,XW is closed.
We need to conclude that X+W is closed which is not as obvious as one might think because the direct sum of closed subspaces need not be closed in general.
So, let xn+wn∈X+W such that xn+wn→z.
Hence, PY,Xwn=PY,X(xn+wn)→PY,Xz and since PY,XW is closed we have PY,Xz∈PY,XW.
Now, z=PX,Yz+PY,Xz∈X⊕PY,XW=X+W.
For the converse statement, let PY,Xwn∈PY,XW be a convergent sequence.
Since PY,XW⊂X+W, there is some x+w∈X+W such that PY,Xwn→x+w.
However, PY,Xwn=PY,X2wn→PY,X(x+w)=PY,Xw.
This shows that PY,XW is closed.
The last assertion is obtained simply by noting
[TABLE]
Lemma A.5**.**
Let Z be a Banach space and Y a closed subspace.
Suppose that X is a complementary subspace with X⊕Y is closed in Z.
Moreover, suppose there exists a subspace X′ closed in Z with X′+Y closed such that X⊂X′ and X′∩Y is finite dimensional.
Then, X⊕(X′∩Y) is closed.
Proof.
Let U:=X′∩Y.
Since this is finite dimensional, there exists a closed complementary subspace V so that Z=U⊕V.
Equivalently, we have a bounded projector PU,V:Z→U with kernel V.
Now, since U⊂X′ and U⊂Y, it is readily checked that
[TABLE]
Consequently, X′+Y=X′⊕(Y∩V).
Since X∩U⊂X∩Y=0, we have that X⊕Y=X⊕U⊕(Y∩V).
It is readily checked that the natural map Φ:X⊕Y→X⊕Y/(Y∩V)=X⊕U⊕(Y∩V)/(Y∩V) restricts to an (algebraic) vector space isomorphism from X⊕U onto X⊕Y/(Y∩V).
Moreover, ∥Φ(x)∥=infv∈Y∩V∥x+v∥≤∥x∥
which shows that it is continuous.
Since X′+Y is closed we have the bounded projector PY∩V,X′ and we obtain
[TABLE]
so that ∥x∥≤(1+∥PY∩V,X′∥)∥Φ(x)∥.
This shows that the inverse Φ−1 is also bounded.
Therefore, X⊕U=X⊕(X′∩Y) is closed since X⊕Y/(Y∩V) is complete.
∎
Lemma A.6**.**
Let (X,Y) be a Fredholm pair in a Banach space Z.
Suppose that W⊂Z is a subspace (not necessarily closed) such that (W,∥⋅∥W) is a Banach space satisfying ∥w∥Z≲∥w∥W for all w∈W.
Then, if Y⊂W, we have that (X∩W,Y) is a Fredholm pair in W.
Proof.
First, we note that Y and X∩W are closed in W by Lemma A.2.
Next, note that X∩W∩Y⊂X∩Y, and since (X,Y) is a Fredholm pair, the latter space is finite dimensional and so is X∩W∩Y.
It remains to prove that X∩W+Y is closed in W and that W/(X∩W+Y) is finite dimensional.
For that, we first prove
[TABLE]
To prove the containment “⊂”, fix x+y∈X∩W+Y with x∈X∩W and y∈Y.
Since Y⊂W, it follows that x+y∈(X+Y)∩W.
For the reverse containment, let x+y∈(X+Y)∩W.
But x=x+y−y and since Y⊂W, we have that x∈W.
Therefore, x+y∈X∩W+Y.
The formula (47) immediately yields that X∩W+Y is closed in W by noting that X+Y is closed in Z and on invoking Lemma A.2.
To prove that W/(X∩W+Y) is finite dimensional, consider the natural map Φ:W/(X∩W+Y)→Z/(X+Y).
This map is well-defined because X∩W+Y⊂X+Y.
To complete the proof, it suffices to show that ϕ is an injection since we know that Z/(X+Y) is finite dimensional by the Fredholm pair assumption on (X,Y).
So, suppose that Φ([w])=0.
That is w∈W and w∈X+Y.
By (47), we have that w∈(X∩W)+Y and therefore, [w]=0.
∎
Lemma A.7**.**
Let (X1,Y) and (X2,Y) be two Fredholm pairs in a Banach space Z with X1⊂X2 and index(X1,Y)=index(X2,Y).
Then, X1=X2.
Proof.
First note that X1+Y⊂X2+Y and therefore,
[TABLE]
Combining this with index(X1,Y)=index(X2,Y), we obtain that dim(X1∩Y)≥dim(X2∩Y).
But X1∩Y⊂X2∩Y and so we have that X1∩Y=X2∩Y.
Moreover, we get that dim(Z/(X1+Y))=dim(Z/(X2+Y)) and so the natural map z+X1+Y↦z+X2+Y is an isomorphism.
Therefore, X1+Y=X2+Y=:Z0.
Set W:=X1∩Y=X2∩Y.
Since W is finite dimensional, we obtain a complementary closed subspace Wc such that Z0=W⊕Wc.
Moreover, since W⊂Y, Y=W⊕(Y∩Wc).
Write
[TABLE]
since W⊂Xi.
In fact,
[TABLE]
Therefore, Z0=X1⊕(Y∩Wc)=X2⊕(Y∩Wc) and armed with the fact that X1⊂X2, we obtain that X1=X2.
∎
Proposition A.8**.**
Let X and Y be Banach spaces and L:X→Y be a bounded linear map.
Then the following are equivalent:
(i)
The operator L has finite-dimensional kernel and closed image.
2. (ii)
There is a Banach space Z, a compact linear map K:X→Z,
and a constant C such that
[TABLE]
for all x∈X.
In particular, kerK∩kerL={0}.
3. (iii)
Every bounded sequence (xn) in X such that (Lxn) converges in Y
has a convergent subsequence in X.
Moreover, these equivalent conditions imply
(iv)
For any Banach space Z and compact linear map K:X→Z
such that kerK∩kerL={0}, there is a constant C such that
[TABLE]
for all x∈X.
For proof see Proposition A3 in [BB12].
Lemma A.9**.**
Let E be a finite dimensional Euclidean vector space and let P,Q:E→E be projectors, i.e. P2=P and Q2=Q.
Then the following are equivalent:
(i)
P−Q:E→E* is an isomorphism.*
2. (ii)
P∣kerQ:kerQ→PE* and P∗∣kerQ∗:kerQ∗→P∗E are isomorphisms.*
3. (iii)
P∣kerQ:kerQ→PE* and (1−P):QE→kerP are isomorphisms.*
Note that the two conditions in ii of Lemma A.9 are independent conditions.
For example, let E=R2 with the usual inner product, let P=(1010) and Q=(1000).
Then, P∗=(1100) and Q∗=Q.
The kernel of Q=Q∗ is spanned by e2=(0,1).
Now, Pe2=0 while P∗e2=0.
Thus, P∣kerQ:kerQ→PE is an isomorphism while P∗∣kerQ∗:kerQ∗→P∗E is not.
Indeed, in this example, P−Q=(0010) is not an isomorphism.
Splitting E as E=QE⊕kerQ in the domain and as E=kerP⊕PE in the target we can write endomorphisms of E as 2×2-matrices:
[TABLE]
and hence
[TABLE]
This shows that P−Q is an isomorphism if and only if
[TABLE]
are isomorphisms and hence proves the equivalence between i and iii.
Moreover, this proves the implication i⇒ii since P∗−Q∗ is also an isomorphism if P−Q is one.
Conversely, assume ii.
We have to show that (P−1)∣QE:QE→kerP is an isomorphism.
Since we know that dimkerQ=dimPE, we also know that dimQE=dimkerP.
Thus it suffices to show that (P−1)∣QE:QE→kerP is injective.
So, let (P−1)x=0 where x=Qx.
Then Px=Qx=x.
Since x∈PE we find a y∈kerQ such that x=Py.
Then we have for all z∈E:
[TABLE]
and thus
[TABLE]
This, together with the assumption that P∗∣kerQ∗:kerQ∗→P∗E is surjective yields that y is perpendicular to P∗E, and hence y∈kerP.
Thus x=Py=0.
∎