A sharp upper bound on the spectral gap for graphene quantum dots
Vladimir Lotoreichik, Thomas Ourmi\`eres-Bonafos

TL;DR
This paper establishes a precise upper bound on the first positive eigenvalue of Dirac operators in 2D domains, linking spectral properties to geometric and conformal map characteristics, with applications to convex and star-shaped domains.
Contribution
It introduces a sharp upper bound on Dirac eigenvalues using conformal maps and Hardy space norms, providing explicit geometric estimates and reverse Faber-Krahn inequalities.
Findings
Derived a conformal variation-based upper bound for eigenvalues.
Applied bounds to convex and star-shaped domains for explicit estimates.
Reinterpreted bounds as reverse Faber-Krahn inequalities.
Abstract
The main result of this paper is a sharp upper bound on the first positive eigenvalue of Dirac operators in two dimensional simply connected -domains with infinite mass boundary conditions. This bound is given in terms of a conformal variation, explicit geometric quantities and of the first eigenvalue for the disk. Its proof relies on the min-max principle applied to the squares of these Dirac operators. A suitable test function is constructed by means of a conformal map. This general upper bound involves the norm of the derivative of the underlying conformal map in the Hardy space . Then, we apply known estimates of this norm for convex and for nearly circular, star-shaped domains in order to get explicit geometric upper bounds on the eigenvalue. These bounds can be re-interpreted as reverse Faber-Krahn-type inequalities under adequate geometric…
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A sharp upper bound on the spectral gap for graphene quantum dots
Vladimir Lotoreichik
Department of Theoretical Physics, Nuclear Physics Institute, Czech Academy of Sciences, 25068 Řež, Czech Republic
[email protected] http:/gemma.ujf.cas.cz/ lotoreichik and
Thomas Ourmières-Bonafos
CNRS & Universite Paris-Dauphine, PSL Research University, CEREMADE, Place de Lattre de Tassigny, 75016 Paris, France
[email protected] http://www.ceremade.dauphine.fr/ ourmieres/
Abstract.
The main result of this paper is a sharp upper bound on the first positive eigenvalue of Dirac operators in two dimensional simply connected -domains with infinite mass boundary conditions. This bound is given in terms of a conformal variation, explicit geometric quantities and of the first eigenvalue for the disk. Its proof relies on the min-max principle applied to the squares of these Dirac operators. A suitable test function is constructed by means of a conformal map. This general upper bound involves the norm of the derivative of the underlying conformal map in the Hardy space . Then, we apply known estimates of this norm for convex and for nearly circular, star-shaped domains in order to get explicit geometric upper bounds on the eigenvalue. These bounds can be re-interpreted as reverse Faber-Krahn-type inequalities under adequate geometric constraints.
Key words and phrases:
Dirac operator, infinite mass boundary condition, lowest eigenvalue, shape optimization.
2010 Mathematics Subject Classification:
35P15, 58J50
1. Introduction
1.1. Motivations and statement of the main result
The Dirac operator defined on a bounded domain of the Euclidean space attracted a lot of attention in the recent few years. Motivated by the unique properties of low energy charge carriers in graphene, various mathematical questions related to these Dirac operators have arisen, and some of them have been dealt with very recently.
The question of self-adjointness is addressed, for instance, for a large class of local boundary conditions in [8] and it covers the particular boundary conditions commonly used in the physics literature [2]: the so-called zigzag, armchair, and infinite mass boundary conditions.
The next step is to investigate the spectral properties of these models. For instance, the spectrum of the massless Dirac operator in a bounded domain with zigzag boundary conditions is studied in [33]. It turns out that this spectrum exhibits an interesting behaviour: it consists of the eigenvalue [math], being of infinite multiplicity, and of a sequence of discrete eigenvalues related to the one of the Dirichlet Laplacian in the same domain.
The structure of the spectrum of the massless Dirac operator on a bounded domain with infinite mass boundary conditions has a different flavour. Indeed, the model is now invariant under charge conjugation, which implies the symmetry of the spectrum with respect to the origin (moreover, this spectrum is discrete).
Note that infinite mass boundary conditions for the Dirac operator arise when one considers the Dirac operator on the whole Euclidean plane with an “infinite mass” outside a bounded domain and zero mass inside it. This is mathematically justified in [5, 34] (see also [4] for a three-dimensional version and [24] for a generalization to any dimension). For this reason, these boundary conditions can be viewed as the relativistic counterpart of Dirichlet boundary conditions for the Laplacian.
It is well known that for partial differential operators defined on domains the shape of the domain manifests in the spectrum. In particular, bounds on the eigenvalues can be given in terms of various geometrical quantities. In many cases, it is also known that the ball (the disk, in two dimensions) optimizes the lowest eigenvalue under reasonable geometric constraints. For example, the famous Faber-Krahn inequality for Dirichlet Laplacians (formulated in two dimensions) states that
[TABLE]
for all Lipschitz domains of the same area as the unit disk (see [11] and [20]); here denotes the first eigenvalue of the Dirichlet Laplacian on . In the same spirit, for any convex domain , it is proven in [28, §5.6] and in [12, Theorem 2] that a reverse Faber-Krahn-type inequality with a geometric pre-factor
[TABLE]
holds where is the inradius of , denotes the area of and stands for its perimeter. Related upper bounds for the lowest Dirichlet eigenvalue are obtained e.g. in [26, 27], see also the numerical study [3]. Further spectral optimization results for the Dirichlet Laplacian can be found in the monographs [16, 17]; see also the references therein.
For the two-dimensional massless Dirac operator with infinite mass boundary conditions on a bounded, simply connected, -domain a lower bound on the principal eigenvalue is given in [9] and reads in the case of infinite mass boundary conditions as
[TABLE]
where is the first non-negative eigenvalue of . This bound is easy to compute and it yields an estimate on the size of the spectral gap. However, it is not intrinsically Euclidean, because the equality in (1.3) is not attained on any . It is not yet known whether for a direct analogue of the lower bound as in the Faber-Krahn inequality (1.1) holds.
One should also mention numerous results in the differential geometry literature, where lower and upper bounds have been found for Dirac operators on two-dimensional manifolds without boundary (see for instance [6] and [1, 7]). In [30], manifolds with boundaries are investigated and note that the mentioned CHI (chiral) boundary conditions correspond to our infinite mass boundary conditions. For two-dimensional manifolds, the author of [30] provides a lower bound on the first eigenvalue which is actually (1.3). We remark that upon passing to the more general setting of manifolds the equality in (1.3) is attained on hemispheres.
Using the min-max principle and the estimate (1.2) one can easily show the following upper bound
[TABLE]
cf. Proposition 3.1. This bound has a concise form, but it is not tight in particular cases. Especially, for domains that are close to a disk the bound (1.4) is not sharp, since and .
To our knowledge, there is no upper bound on expressed in terms of explicit geometric quantities, which is tight for domains being close to a disk. This is the question we tackle in this paper for the case of -domains. The inequalities that we obtain can be viewed as natural counterparts of (1.2) in this new setting and our results roughly read as follows (see Theorems 4.8 and 4.14 for rigorous statements).
Main result for convex domains**.**
Let be a bounded, convex, -domain with and let be the first non-negative eigenvalue of the massless Dirac operator with infinite mass boundary conditions. Then, there is an explicitly given geometric functional such that
[TABLE]
where is the disk of radius centered at the origin and holds. Moreover, the inequality (1.5) is strict unless for some .
Definition 1.1**.**
A bounded, -domain , which is star-shaped with respect to the origin and which is parametrized in polar coordinates by , is called nearly circular if
[TABLE]
Main result for nearly circular domains**.**
Let be a bounded -domain, which is nearly circular in the sense of Definition 1.1. Let be the first non-negative eigenvalue of the massless Dirac operator with infinite mass boundary conditions. Then, there is an explicitly given geometric functional such that
[TABLE]
where is the disk of radius centered at the origin and holds. Moreover, the inequality (1.5) is strict unless for some .
The Dirac operator and the functionals , appearing in (1.5), (1.7) are rigorously defined further on, namely, in Definition 2.1 and Equations (4.10), (4.11), respectively. The main results are then precisely formulated in Theorems 4.8, 4.14. Before going any further, let us comment on the assumptions and inequalities (1.5), (1.7).
Remark 1.2**.**
Even though for convex polygonal domains the Dirac operator can be defined in a similar fashion as for -domains (see [22]), it will be clear from the proof that certain smoothness assumption on the domain seems to be crucial for our results to hold. However, we expect that the smoothness hypothesis on can be relaxed from to -smoothness with additional efforts.
Remark 1.3**.**
The strategy relying on a so-called invertible double discussed in [9, §2] (see also [10, Chapter 9]) might also yield new upper bounds using the known ones for two-dimensional manifolds without boundary. We do not discuss it here, first in order to keep a self-contained and elementary proof and, second, to obtain a result in terms of explicit geometric quantities: the area , the maximal (non-signed) curvature of and of the radii , . Namely, is a function of all these parameters and the parameter introduced in (1.6) plays a role in the definition of .
Our main results imply two reverse Faber-Krahn-type inequalities for the Dirac operator . Indeed, let us denote by the set of bounded, convex -domains containing the origin and by the set of bounded, nearly circular -domains. Then, the following holds.
Reversed Faber-Krahn**.**
Let and such that with . Then the following inequality holds
[TABLE]
All the geometric bounds we obtain are consequences of the following estimate which holds for any bounded, simply connected, -domain with :
[TABLE]
where is a conformal map with and is the norm of its derivative in the Hardy space . The equality in (1.8) occurs if, and only if, for some . This abstract bound is obtained in Theorem 4.7.
1.2. Strategy of the proof
The proof is decomposed into four steps. First, thanks to the symmetry of the spectrum for the Dirac operator we compute the quadratic form of its square and characterize the squares of its eigenvalues via the min-max principle.
Second, following the strategy of [35], we use a conformal map from the unit disk onto the domain in order to reformulate the min-max principle characterizing the first non-negative eigenvalue.
Third, we evaluate the corresponding Rayleigh quotient for a special test function that we construct by means of the first mode of the Dirac operator on the unit disk .
Finally, it remains to estimate each term in this Rayleigh quotient in terms of suitable geometrical quantities. However, as the structure of the Dirac operator is more sophisticated than the one of the Neumann Laplacian investigated in [35], we have to control several additional terms. One of them involves the norm in the Hardy space of the derivative of the employed conformal map. We handle this term using available geometric estimates for convex domains [19] and for nearly circular domains [13]. In fact, other ways to control geometrically this Hardy norm are expected to yield new inequalities.
1.3. Structure of the paper
In Section 2 we rigorously define the Dirac operator and recall known results about it. Section 3 is devoted to the derivation of a variational characterization for the eigenvalues of . After precisely stating the main result in Theorem 4.8, we prove it in Section 4.
The paper is complemented by two appendices, which are provided for completeness and convenience of the reader. Appendix A is about the eigenstructure of the disk and Appendix B deals with a geometric result regarding the functional on domains with symmetries.
2. The massless Dirac operator with infinite mass boundary conditions
This section is decomposed as follows. In §2.1 we introduce a few notation that will be used all along this paper and §2.2 contains the rigorous definition of the massless Dirac operator with infinite mass boundary conditions as well as its basic properties that are of importance in the following.
2.1. Setting of the problem and notations
Let us introduce a few notation that will help us to set correctly the problem we are interested in.
2.1.1. The geometric setting
Throughout this paper is a bounded, simply connected, -smooth domain. The boundary of is denoted by and for the vector
[TABLE]
denotes the outer unit normal to at the point . We also introduce the unit tangential vector at chosen so that \big{(}\tau(x),\nu(x)\big{)} is a positively-oriented orthonormal basis of .
We remark that the normal vector field induces a scalar, complex-valued function on the boundary
[TABLE]
where .
Let denote the length of and consider the arc-length parametrization of defined as such that for all we have \gamma^{\prime}(s)=\tau\big{(}\gamma(s)\big{)}. In particular, it means that the parametrization is clockwise.
Furthermore, we denote by
[TABLE]
the signed curvature of , which satisfies for all the Frenet formula
[TABLE]
As is a -domain, the signed curvature is a -function on and we set
[TABLE]
where the last inequality holds, because can not be a line segment. We will also make use of the minimal radius of curvature defined by
[TABLE]
Within our convention, the curvature of a convex domain is a non-positive function. Finally, denotes the -dimensional Hausdorff measure of .
2.1.2. Norms and function spaces
The standard norm of a vector is defined as .
The -space and the -based Sobolev space of order of -valued functions () on the domain are denoted by and , respectively. The -space and the -based Sobolev space of order of -valued functions () on the boundary of are denoted by and , respectively. We use the shorthand notation , , , and .
We denote by and by the standard inner product and the respective norm in . The inner product and the norm in are introduced via the surface measure on . A conventional norm in the Sobolev spaces is defined by .
2.1.3. Self-adjoint operators & the min-max principle
Let be a self-adjoint operator in a Hilbert space . If is, in addition, bounded from below then let us denote by the associated quadratic form.
We denote by and the essential and the discrete spectrum of , respectively. By , we denote the spectrum of (i.e. ).
We say that the spectrum of is discrete if . Let be a semi-bounded operator with discrete spectrum. For , denotes the -th eigenvalue of . These eigenvalues are ordered non-decreasingly with multiplicities taken into account. According to the min-max principle the -th eigenvalue of is characterised by
[TABLE]
In particular, the lowest eigenvalue of can be characterised as
[TABLE]
2.1.4. Pauli matrices
Recall that the Hermitian Pauli matrices are given by
[TABLE]
For , they satisfy the anti-commutation relation
[TABLE]
where is the Kronecker symbol. For the sake of convenience, we define and for we set
[TABLE]
2.2. The Dirac operator with infinite mass boundary conditions
In this paragraph we introduce the massless Dirac operator with infinite mass boundary conditions on , following the lines of [8].
Definition 2.1**.**
The massless Dirac operator with infinite mass boundary conditions is the operator that acts in the Hilbert space and is defined as
[TABLE]
where \partial_{z}=\frac{1}{2}\big{(}\partial_{1}-{\mathsf{i}}\partial_{2}\big{)} and \partial_{\overline{z}}=\frac{1}{2}\big{(}\partial_{1}+{\mathsf{i}}\partial_{2}\big{)} are the Cauchy-Riemann operators.
Remark 2.2**.**
The operator defined in (2.5) coincides with the operator introduced in [8, §1.] where one chooses to be a constant function on the boundary . Note that we implicitly used the convention that is a positively-oriented orthonormal basis of for all .
The following proposition is essentially known, we recall its proof for the sake of completeness.
Proposition 2.3**.**
The linear operator defined in (2.5) satisfies the following properties.
- (i)
* is self-adjoint.*
- (ii)
The spectrum of is discrete and symmetric with respect to zero.
- (iii)
.
Proof*.*
(i) The self-adjointness of is a consequence of [8, Theorem 1.1] where one chooses (see Remark 2.2).
(ii) The discreteness of the spectrum for follows from compactness of the embedding . Regarding the symmetry of the spectrum, one can consider the charge conjugation operator
[TABLE]
and notice that is left invariant by . Hence, a basic computation yields
[TABLE]
which implies that if is an eigenfunction of associated with an eigenvalue then is an eigenfunction of associated with the eigenvalue , which proves the symmetry of the spectrum. In particular the spectrum of consists of eigenvalues of finite multiplicity accumulating at .
(iii) This statement is a consequence of [9, Theorem 1] where we picked ; cf. Remark 2.2. ∎
Our main interest concerns the principal eigenvalue of defined as
[TABLE]
We emphasize that the value completely describes the size of the spectral gap of around zero and that (1.5) and (1.7) provide upper bounds on its length for convex and nearly circular domains, respectively.
Remark 2.4**.**
In [9, §3], keeping the notations of [8, §1.], the massless Dirac operator with infinite mass boundary conditions is defined as a block operator and acts on . One easily checks that . Hence, is unitarily equivalent to . Thanks to the symmetry of the spectrum stated in Proposition 2.3 (ii), we know that has also symmetric spectrum and that if denotes the first non-negative eigenvalue of we have .
In addition, the authors of [9, §3], discuss the case of the so-called armchair boundary conditions. This operator acts in and up to a proper unitary transform, they show that it rewrites as
[TABLE]
on the domain . One can check that and thus, our results also apply to armchair boundary conditions.
Let us conclude this paragraph by mentioning the following essentially known proposition in the special case of . For the sake of completeness, its proof is provided in Appendix A.
Proposition 2.5**.**
The principal eigenvalue of is the smallest non-negative solution of the following scalar equation
[TABLE]
where and are the Bessel functions of the first kind of orders [math] and , respectively. Moreover, in polar coordinates x=\big{(}r\cos(\theta),r\sin(\theta)\big{)}, an eigenfunction associated with is
[TABLE]
where and .
Remark 2.6**.**
An approximate numerical value of is .
3. A variational characterization of
In this section we obtain a characterization for . Let us briefly outline the strategy that we follow. First, we compute the quadratic form for the square of the operator . The self-adjoint operator is positive and its lowest eigenvalue is equal to . Therefore, it can be characterised via the min-max principle, which gives a variational characterization of .
Proposition 3.1**.**
The square of the principal eigenvalue of can be characterised as
[TABLE]
In particular, , where is the lowest eigenvalue of the Dirichlet Laplacian on .
Remark 3.2**.**
With the conventions chosen in §2.1.1, if is a convex domain we have and the boundary term in the variational characterization is non-negative.
In order to prove Proposition 3.1 we state and prove a few auxiliary lemmata. The first lemma involves the notion of tangential derivatives. Remark that by the trace theorem [23, Theorem 3.37] there exists a constant such that
[TABLE]
for all . Thus, the tangential derivative given by
[TABLE]
is a well-defined, continuous linear operator. Hence, we define the tangential derivative of by
[TABLE]
The tangential derivative is related to the square of the Dirac operator via the next lemma, which is reminiscent of [18, Eq. (13)]. However, we provide here a simple proof for convenience of the reader.
Lemma 3.3**.**
For any , one has
[TABLE]
Proof*.*
Using an integration by parts (see [15, Theorem 1.5.3.1]) we get for any function ,
[TABLE]
Dividing the difference of the above two equations by we obtain
[TABLE]
Let . Using the explicit expression of and performing elementary Hilbert-space computations we get
[TABLE]
Employing identity (3.1) we obtain
[TABLE]
which proves the claim. ∎
To obtain a convenient expression for the quadratic form of the operator , we will make use of the following density lemma.
Lemma 3.4**.**
* is dense in with respect to the norm .*
Proof*.*
Thanks to [15, Theorems 1.5.1.2, 2.4.2.5, and Lemma 2.4.2.1] we know that there exists a bounded linear operator such that for any one has and E\big{(}H^{3/2}(\Omega,\mathbb{C}^{2})\big{)}\subset H^{2}(\Omega,\mathbb{C}^{2}).
Let . Since is dense in with respect to the norm , there exists a one-parametric family of functions satisfying . In particular, one has
[TABLE]
Now, consider the functions
[TABLE]
Note that as defined . Hence, we have
[TABLE]
where we have used that on as . Finally, using the continuity of and the fact that the multiplication operator by the matrix-valued function is bounded in we obtain that and as by definition , we obtain the lemma. ∎
Finally, we simplify the expression of obtained in Lemma 3.3 for the special case of functions satisfying infinite mass boundary conditions.
Proposition 3.5**.**
The identity
[TABLE]
holds for all .
Proof*.*
Let be arbitrary. By Lemma 3.3 we get,
[TABLE]
The boundary condition and the chain rule for the tangential derivative yield
[TABLE]
The Frenet formula (2.1) implies and . Plugging these identities into the above expression for we arrive at
[TABLE]
and the claim follows using the density of in with respect to the -norm (see Lemma 3.4). ∎
Proposition 3.5 yields the following characterization of .
Corollary 3.6**.**
The square of the principal eigenvalue of satisfies
[TABLE]
Proof*.*
Let be as in Proposition 2.5. By definition we have , which implies
[TABLE]
Using the representation of following from Proposition 3.5 and the explicit expression of in polar coordinates given in Proposition 2.5, one gets the claim. ∎
Proof of Proposition 3.1.
By Proposition 3.5 the quadratic form of is given by
[TABLE]
The spectral theorem implies that . Hence, the lowest eigenvalue of is . Finally, the min-max principle (2.4) yields the sought variational characterization. The inequality follows from both variational characterizations for and , combined with the inclusion . ∎
4. Main result and its proof
The method of the proof is inspired by a trick of G. Szegő presented in [35]. His aim was to show a reversed analogue of the Faber-Krahn inequality for the first non-trivial Neumann eigenvalue in two dimensions and to do so, he used a suitably chosen conformal map between the unit disk and a generic simply connected domain.
Throughout this section, we identify the Euclidean plane and the complex plane . Recall that stands for a bounded, simply connected, -domain.
In the following, we consider a conformal map . Up to a proper translation of if needed and without loss of generality, we can assume that . Remark also that for all .
As is -smooth, the Kellogg-Warschawski theorem (see [14, Chapter II, Theorem 4.3] and [29, Theorem 3.5]) yields that can be extended up to a function in denoted again by with a slight abuse of notation. This extension satisfies the following natural condition and the mapping
[TABLE]
is a parametrization of (see [14, Chapter II, §4.])
4.1. A transplantation formula
The first step in order to obtain the desired inequality is the following proposition that provides an upper bound on the principal eigenvalue .
Proposition 4.1**.**
Let be a bounded, simply connected -domain and let be a conformal map such that . Then one has
[TABLE]
where and
[TABLE]
Proof*.*
First of all, note that each term (for ) as well as are well defined. In particular, the first integral appearing in is finite because
[TABLE]
see [25, Equation (10.7.3)].
Second, observe that the composition map
[TABLE]
defines an isomorphism from onto the space
[TABLE]
Indeed, as is a conformal map, it is clear that V_{f}\big{(}H^{1}(\Omega,\mathbb{C}^{2})\big{)}=H^{1}(\mathbb{D},\mathbb{C}^{2}). Now, let . The boundary conditions read as follows
[TABLE]
This implies the inclusion of the set on the right-hand side of (4.1) into . The reverse inclusion is proved in the same fashion. Thus, using the variational characterization of Proposition 3.1 we obtain
[TABLE]
where we used that the -norm of the gradient is invariant under conformal transformations.
Now, consider the test function defined in polar coordinates as
[TABLE]
Plugging this test function into the variational characterisation (4.2) of we get
[TABLE]
Let us compute each term in the right-hand side of the previous inequality. First, we have
[TABLE]
Second, we obtain
[TABLE]
where is the winding number of . As is an arc-length clockwise parametrization of , we have . It implies
[TABLE]
Finally, a straightforward computation yields
[TABLE]
4.2. The Faber-Krahn-type inequality: rigorous statement & proof
4.2.1. Hardy spaces, conformal maps and related geometric bounds
Recall that for any holomorphic function one defines its norm in the Hardy space as follows
[TABLE]
By definition, means that . If the holomorphic function extends up to a continuous function on , then and
[TABLE]
Further details on Hardy spaces can be found in [32, Chapter 17].
Recall that any conformal map with can be written as a power series
[TABLE]
for some sequence of complex coefficients , .
The following proposition can be found, e.g., in [21, §3.10.2].
Proposition 4.2** (Area formula).**
The area of is expressed through the coefficients of the conformal map as
[TABLE]
Recall that the origin is inside (i.e. ) and that the radii , , and are defined as
[TABLE]
It is obvious that and it can also be checked that . In general there is no relation of this kind between and .
The next proposition is a consequence of the Schwarz lemma (see Koebe’s estimate in [14, Chapter I, Theorem 4.3]).
Proposition 4.3**.**
The derivative of the conformal map at [math] and the radius defined in (4.4) satisfy
[TABLE]
Next, we provide the geometric bound on that is a consequence of [19, Theorem 1]. To this aim, we define for the function as
[TABLE]
Proposition 4.4** (Kovalev’s bound).**
Let be a bounded, convex, -domain and let be a conformal map such that . Then one has
[TABLE]
with defined as in (4.5).
Remark 4.5**.**
To recover Kovalev’s bound in Proposition 4.4 from [19, Theorem 1], set and remark that for the rescaled domain the radii and as well as , the minimal radius of curvature of , satisfy
[TABLE]
Hence, with our choice of we obtain
[TABLE]
Thus, by [19, Theorem 1], there exists a conformal map with and . Because any conformal map from to that fixes [math] is a composition of with a rotation, any conformal map from to such that also satisfies .
Now, consider for all . As defined is a conformal map from to and . Thus, we have
[TABLE]
Finally, we provide a bound on for nearly circular domains that follows from [13, Equation 2.9] with .
Proposition 4.6** (Gaier’s bound).**
Let be a bounded, and nearly circular domain in the sense of Definition 1.1 with . Let be a conformal map such that . Then one has
[TABLE]
4.2.2. An abstract upper bound
First, we formulate our main result for general simply connected domains. This estimate involves the norm of the conformal map .
Theorem 4.7**.**
Let be a bounded, simply connected, -domain with . Then the following inequality holds
[TABLE]
where and are the principal eigenvalues of the massless Dirac operators and , respectively. Moreover, the above inequality is strict unless is a disk centred at the origin.
Proof*.*
Throughout the proof we set for the principal eigenvalue of . The proof relies on the analysis of each term appearing in Proposition 4.1.
The denominator
Let us start by analysing the denominator . To do so, we will need the following claim, whose proof is postponed until the end of this paragraph.
Claim A. The function is monotonously increasing on the interval .
Recall that
[TABLE]
Parseval’s identity gives
[TABLE]
The denominator rewrites as
[TABLE]
First, we handle the term
[TABLE]
Remark that as for all we have
[TABLE]
Now, as for all , is increasing on as well as by Claim A, applying Chebyshev’s inequality we get
[TABLE]
Note that the above inequality is strict unless for all , which occurs if, and only if, is a disk centred at the origin. Using the area formula of Proposition 4.2 this inequality turns into
[TABLE]
Plugging (4.7) into (4.6) and applying then Proposition 4.3, we get
[TABLE]
Again we stress that the above inequality is strict unless is disk centred at the origin. Thus, it only remains to show Claim A. Differentiating the function and using the identities
[TABLE]
we get
[TABLE]
Taking into account that for all we get the claim.
The numerator
Recall that
[TABLE]
By definition, for all we have \kappa^{2}\big{(}\eta(\theta)\big{)}\leq\kappa_{\star}^{2} and moreover we get . It yields
[TABLE]
Combining all the estimates together.
Thanks to Proposition 4.1 we know that
[TABLE]
Using (4.8), (4.9) as well as the explicit expressions for and we obtain
[TABLE]
Cauchy-Schwarz inequality and the total curvature identity yield
[TABLE]
Hence, we end up with
[TABLE]
By taking the square root on both hand sides of the previous equation we get the claim. Note that the above inequality is strict unless is a disk centred at the origin. ∎
4.2.3. Bounds for convex and for nearly circular domains
Now we use available estimates on to derive geometric bounds on . First, we define the functional that appears in (1.5):
[TABLE]
where is as in (4.5) and the radii , and are given in (4.4). In particular, when the functional simply rewrites as
[TABLE]
Remark that for any . Furthermore, the functional has the following properties.
- (a)
For any and all one has . 2. (b)
One has for any
[TABLE]
and, in particular, . 3. (c)
is not invariant under translations. Indeed, for , we have and . However, if one picks , then one has , , and
[TABLE]
Now, we have all the tools to rigorously formulate our main result for convex domains. This result is just a simple consequence of Theorem 4.7, in which is estimated via Proposition 4.4 and the scaling property is employed.
Theorem 4.8**.**
Let be a bounded, convex, -domain such that and let the functional be as in (4.10). Then the following inequality holds
[TABLE]
where and are the principal eigenvalues of the massless Dirac operators and , , respectively. Moreover, the above inequality is strict unless is a disk centred at the origin.
Remark 4.9**.**
Condition (a) implies that the family
[TABLE]
is non-empty and contains “many” domains.
Corollary 4.10**.**
Let the assumptions be as in Theorem 4.8. Then the following inequality
[TABLE]
holds provided that and that .
Note that thanks to property (c) we know that is sensitive to the choice of the origin. Stated as it is, Theorem 4.8 can still be slightly optimized, because the principal eigenvalue itself is clearly insensitive to translations of . Thanks to (b), we have
[TABLE]
and hence Theorem 4.8 immediately yields the following corollary.
Corollary 4.11**.**
Let the assumptions be as in Theorem 4.8. Then the following inequality holds
[TABLE]
where .
Stated this way, the upper bound in the right hand side of the inequality in Corollary 4.11 is translation invariant. However, the upper bound is no longer expressed in term of simple geometric quantities. Nevertheless, if the domain has some extra symmetries, one can find explicitly , which maximizes the function . This is the purpose of the following proposition, whose proof is postponed to Appendix B.
Proposition 4.12**.**
Let be a bounded, convex -domain, which has two axes of symmetry and that intersect in a unique point , then .
Proposition 4.12 immediately yields the optimal bound that one can obtain in Corollary 4.11 whenever has two axes of symmetry. For example, let and take for the ellipse of major axis and minor axis defined as
[TABLE]
One easily finds and by Proposition 4.12 the optimal choice of to minimize is given by . Hence, and and we obtain
[TABLE]
Remark that as we have .
Remark 4.13**.**
We also observe that for the ellipse centred at the origin with and for some one has
[TABLE]
Thus, the upper bound in Theorem 4.8 is reasonably precise if is small, in which case the ellipse is close to the unit disk. On the other hand, decays super-exponentially for and in that regime the obtained upper bound on is very rough.
In what follows we assume that is a nearly circular domain in the sense of Definition 1.1. Now, we define the functional that appears in (1.7):
[TABLE]
The functional shares common properties with .
- (a)
For any nearly circular and all one has . 2. (b)
One has for any nearly circular
[TABLE]
and, in particular, . 3. (c)
is also not invariant under translations.
Now, we have all the tools to rigorously formulate our main result for nearly circular domains. This result is also a simple consequence of Theorem 4.7, in which is now estimated via Proposition 4.6.
Theorem 4.14**.**
Let be a bounded, and nearly circular domain in the sense of Definition 1.1 with and let the functional be as in (4.11). Then the following inequality holds
[TABLE]
where and are the principal eigenvalues of the massless Dirac operators and , , respectively. Moreover, the above inequality is strict unless is a disk centred at the origin.
Remark 4.15**.**
Condition (a) implies that the family
[TABLE]
is non-empty and contains “many” domains.
Corollary 4.16**.**
Let the assumptions be as in Theorem 4.14. Then the following inequality
[TABLE]
holds provided that and that .
acknowledgements
The authors are very grateful to Loïc Le Treust, Konstantin Pankrashkin and Leonid Kovalev for fruitful discussions.
VL acknowledges the support by the grant No. 17-01706S of the Czech Science Foundation (GAČR) and by a public grant as part of the Investissement d’avenir project, reference ANR-11-LABX-0056-LMH, LabEx LMH. A large part of the work was done during two stays of VL at the University Paris-Sud in 2018.
TOB is supported by the ANR ”Défi des autres savoirs (DS10) 2017” programm, reference ANR-17-CE29-0004, project molQED and by the PHC Barrande 40614XA funded by the French Ministry of Foreign Affairs and the French Ministry of Higher Education, Research and Innovation. TOB is grateful for the stimulating research stay and the hospitality of the Nuclear Physics Institute of Czech Republic where this project has been initiated.
Appendix A The massless Dirac operator with infinite mass boundary conditions on a disk
The goal of this appendix is to prove Proposition 2.5. Namely, we are aiming to characterize the principal eigenvalue and the associated eigenfunctions for the self-adjoint operator on the unit disk
[TABLE]
The material of this appendix is essentially known (see for instance [36, App. D]). However, we recall it here for the sake of completeness.
A.1. The representation of the operator in polar coordinates
First, we introduce the polar coordinates on the disk . They are related to the Cartesian coordinates via the identities
[TABLE]
for all and . Further, we consider the moving frame associated with the polar coordinates
[TABLE]
The Hilbert space can be viewed as the tensor product , where . Let us consider the unitary transform
[TABLE]
and introduce the cylindrical Sobolev space by
[TABLE]
We consider the operator acting in the Hilbert space defined as
[TABLE]
Now, let us compute the action of on a function . Notice that there exists such that and the partial derivatives of with respect to the polar variables can be expressed through those of with respect to the Cartesian variables via the standard relations (for )
[TABLE]
and the other way round
[TABLE]
Using the latter formulæ we can express the action of the differential expression in polar coordinates as follows (for )
[TABLE]
Note that a basic computation yields
[TABLE]
Hence, the operator acts as
[TABLE]
where is the spin-orbit operator in the Hilbert space defined as
[TABLE]
Let us investigate the spectral properties of the spin-orbit operator .
Proposition A.1**.**
Let the operator be as in (A.4). Then the following hold.
- (i)
* is self-adjoint and has a compact resolvent.*
- (ii)
* and {\mathcal{F}}_{k}:=\ker\big{(}{\mathsf{K}}-(2k+1)\big{)}=\mathsf{span}\,(\phi_{k}^{+},\phi_{k}^{-}), where*
[TABLE]
- (iii)
* and .*
Proof*.*
(i) The operator is clearly self-adjoint in , because adding the matrix can be viewed as a symmetric bounded perturbation of an unbounded self-adjoint momentum operator in the Hilbert space . As is compactly embedded into the resolvent of is compact.
(ii) Let and be such that . The eigenvalue equation on reads as follows
[TABLE]
The generic solution of the above system of differential equations is given by
[TABLE]
Hence, the periodic boundary condition implies that the eigenvalues of are exhausted by for and that is a basis of .
(iii) These algebraic relations are obtained via basic matrix calculus using (A.2). ∎
We are now ready to introduce subspaces of that are invariant under its action. The analysis of reduces to the study of its restrictions to each invariant subspace.
Proposition A.2**.**
There holds
[TABLE]
where and . Moreover, the following hold true.
- (i)
For any ,
[TABLE]
is a well-defined self-adjoint operator in the Hilbert space .
- (ii)
For any , the operator is unitarily equivalent to the operator in the Hilbert space defined as
[TABLE]
- (iii)
.
Proof*.*
(i) Let us check that is well defined. Pick a function . By definition, writes as
[TABLE]
and, since , we have . Applying the differential expression obtained in (A.3), we get
[TABLE]
It yields . It is now an easy exercise to show that is self-adjoint.
(ii) Let us introduce the unitary transform
[TABLE]
For it is clear that we have and we observe that
[TABLE]
(iii) The first equality is a consequence of (A.1), while the second one is an application of [31, Theorem XIII.85]. ∎
A.2. Eigenstructure of the disk
Before describing the eigenstructure of the disk recall that denotes the charge conjugation operator introduced in (2.6). It is not difficult to see that is anti-unitary and maps onto for all . Furthermore, a computation yields
[TABLE]
In particular, , which also reads . Combined with (A.7) and as the spectrum of is discrete one immediately observes that
[TABLE]
Hence, we can restrict ourselves to .
Lemma A.3**.**
Let . Let be the self-adjoint operator defined in (A.5). Then for all the following hold.
- (i)
**
- (ii)
* for all .*
Proof*.*
Let and . It is clear that and that for integrability reasons . Hence, we have
[TABLE]
Analogously, we get
[TABLE]
Combining (A.9) and (A.10) with the boundary condition we get
[TABLE]
Now, we have all the tools to prove Proposition 2.5.
Proof of Proposition 2.5.
As a direct consequence of Lemma A.3 and the min-max principle, we obtain that
[TABLE]
Thus, by Proposition A.2 (iii) and Equation (A.8), in order to investigate the first eigenvalue of , we only have to focus on the operator .
Let be an eigenvalue of and be an associated eigenfunction. In particular, and we have
[TABLE]
Hence, we obtain
[TABLE]
with some constants and where and () denote the Bessel function of the first kind of order and the Bessel function of the second kind of order , respectively. Taking into account that
[TABLE]
(see [25, §10.7(i)]), the condition implies or, in other words,
[TABLE]
Now, as satisfies the eigenvalue equation we get and the identity
[TABLE]
holds for all . In particular, we obtain which gives
[TABLE]
Now, the boundary condition reads as
[TABLE]
which gives the eigenvalue equation, whose first positive root is the principal eigenvalue of . An eigenfunction of corresponding to the eigenvalue is given in polar coordinates by
[TABLE]
where is as in Proposition A.1 (ii), is as in (A.11) (with ) and is the smallest positive root of (A.12). ∎
Appendix B Proof of Proposition 4.12
Step 1. For any , the map is continuous. Hence, the maps defined as
[TABLE]
are continuous on as well and they attain their upper and lower bounds. In particular, there exist such that
[TABLE]
Step 2. Assume that has an axis of symmetry . By Step 1 there exist such that and . Our aim is to show that can be both chosen in . Let us suppose that and define the reflection with respect to . Remark that and also satisfy and . Set and . As is convex we have . Also by convexity of , we get
[TABLE]
where denotes the disk of radius centred at . Now, (B.1) implies and we obtain .
Similarly, by convexity of , we get
[TABLE]
In particular, and we have equality in this inequality.
Step 3. Suppose now that has two axes of symmetry and . Let be the unique point of intersection of these axes. Thanks to Steps 1 and 2 for all we necessarily have and . Next, define the function
[TABLE]
Remark that is a non-decreasing function of whereas it is a non-increasing function of . Now, we have
[TABLE]
Hence, , by which the proof is concluded.
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