Thin domain limit and counterexamples to strong diamagnetism
Bernard Helffer, Ayman Kachmar

TL;DR
This paper investigates the magnetic properties of thin superconducting domains, providing counterexamples to strong diamagnetism and analyzing the transition behavior, with results aligning with experimental observations.
Contribution
It introduces counterexamples to strong diamagnetism and characterizes the non-monotone transition in thin superconducting domains, extending understanding of magnetic responses.
Findings
Counterexamples to strong diamagnetism in thin domains
Non-monotone transition from superconducting to normal state
Structure of the order parameter in nonlinear regimes
Abstract
We study the magnetic Laplacian and the Ginzburg-Landau functional in a thin planar, smooth, tubular domain and with a uniform applied magnetic field. We provide counterexamples to strong diamagnetism, and as a consequence, we prove that the transition from the superconducting to the normal state is non-monotone. In some non-linear regime, we determine the structure of the order parameter and compute the super-current along the boundary of the sample. Our results are in agreement with what was observed in the Little-Parks experiment, for a thin cylindrical sample.
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Topological Materials and Phenomena · Rare-earth and actinide compounds
Thin domain limit and counterexamples
to strong diamagnetism
Bernard Helffer
and
Ayman Kachmar
Laboratoire de Mathématiques Jean Leray, Université de Nantes
Department of Mathematics, Lebanese University, Nabatieh, Lebanon.
Abstract.
We study the magnetic Laplacian and the Ginzburg-Landau functional in a thin planar, smooth, tubular domain and with a uniform applied magnetic field. We provide counterexamples to strong diamagnetism, and as a consequence, we prove that the transition from the superconducting to the normal state is non-monotone. In some non-linear regime, we determine the structure of the order parameter and compute the super-current along the boundary of the sample. Our results are in agreement with what was observed in the Little-Parks experiment, for a thin cylindrical sample.
Mathematics Subject Classification (2010): 35B40, 35P15, 35Q56
Contents
-
1.1 The Ginzburg-Landau model in a non-simply connected domain
-
4 Analysis of ground states and strong diamagnetism – Applications
-
4.4 Lack of strong diamagnetism and oscillations in the Little-Parks framework
-
5 Structure of the order parameter and circulation of the super-current
1. Introduction
1.1. The Ginzburg-Landau model in a non-simply connected domain
Let and be two simply connected bounded open sets in such that . We assume also that the boundary of , , is smooth of class . The domain is then a non-simply connected domain with the single hole .
The main question addressed in this paper is the inspection of the Ginzburg-Landau (GL) functional
[TABLE]
where is the GL parameter, the intensity of the applied magnetic field, and
[TABLE]
The space consists of all vector fields in satisfying in and on , where is the interior normal vector field of . The vector field is the unique vector field satisfying
[TABLE]
A configuration is said to be a critical point of the GL functional if it is a weak solution111 The weak formulation of (1.4) is precisely given in [5, (10.9a)-(10.9b)]. of the corresponding Euler-Lagrange equations, named GL equations in this context, and read as follows
[TABLE]
where the operator is the Hodge gradient.
1.2. Normal states
A critical point is said to be trivial (or a normal state) if . It is said to be a minimizer if it minimizes the functional in the variational space . So one introduces the critical field
[TABLE]
A result by Giorgi-Phillips ensures that this critical field is indeed finite. The question of estimating the critical field is closely related to the spectral analysis of the magnetic Laplacian in ,
[TABLE]
with (magnetic) Neumann boundary condition on . Here is a parameter measuring the strength of the magnetic field. The operator is actually defined via the closed quadratic form
[TABLE]
We denote by the lowest eigenvalue of the operator , which is given by the min-max principle as follows
[TABLE]
The relation between the eigenvalue and the critical field is displayed via the following well known result:
Proposition 1.1**.**
For all , if , then every minimizer of the GL functional is non-trivial. Consequently the GL equations in (1.4) admit a non-trivial solution.
The proof of Proposition 1.1 simply follows by computing the GL energy with and a ground state of the operator . The parameter can be selected sufficiently small to ensure that , which in turn guarantees the existence of a non-trivial minimizer of the GL energy in (1.1).
1.3. The thin domain
In the sequel, we will introduce a small parameter , and choose the hole in the following manner
[TABLE]
We will refer to the parameter as the ‘thickness’ of our thin domain, , defined as follows
[TABLE]
We define the eigenvalue and the GL energy as follows
[TABLE]
Also, we shorten the notation for the critical field, introduced in (1.5), and write,
[TABLE]
A critical point, solving (1.4) for , will be denoted by , to emphasize the dependence on the parameters and .
We can sharpen the statement in Proposition 1.1 when the thickness parameter is ‘small’.
Theorem 1.2**.**
Given , there exists such that, for all and , the following two statements are equivalent.
- (A)
There exists a non-trivial critical point .
- (B)
* satisfies .*
1.4. The magnetic Laplacian
Armed with Theorem 1.2, when estimating the critical field in the small ‘thickness’ limit, , we are led to estimating the eigenvalue , of the magnetic Laplacian . After doing that, we will find that is asymptotically inversely proportional to .
For later use, we introduce
[TABLE]
where denotes the length of the boundary .
Since the domain is non-simply connected, it is no surprise that the eigenvalue depends on the circulation of the magnetic field around the hole of the domain. So we introduce the following quantity,
[TABLE]
1.5. Main results
Our main results, Theorems 1.3 and 1.4 below, display the dependence of the eigenvalue on the circulation , in the ‘thin domain limit’, .
Theorem 1.3**.**
For every , there exist positive constants such that, for all , the following holds
- (A)
If , then ;
- (B)
If , then \Big{|}\lambda(\varepsilon,b)-\left(\frac{\pi}{L}\right)^{2}\inf\limits_{n\in\mathbb{Z}}\left|n+\frac{bL\gamma_{0}}{\pi}\right|^{2}\Big{|}\leq\frac{1}{N} .
In light of Theorem 1.3, we see that
[TABLE]
and
[TABLE]
So it remains to analyze the regime where , thereby bridging the two regimes appearing in Theorem 1.3 above.
Of particular interest is the behavior of the eigenvalue , where
[TABLE]
with and . The constant will have an ‘oscillatory’ effect that will be discussed in Subsection 4.4 below.
In the regime (1.17), a central role is played by the following quantities
[TABLE]
and their infimum over :
[TABLE]
The infimum is attained for one or two minimizers in . The minimizer is unique when and denoted by . If , we have two minimizers, and .
Theorem 1.4**.**
If is defined by (1.17) for some given and , then
[TABLE]
where was introduced in (1.19).
1.6. Remarks
- (1)
The conclusion in Theorem 1.4 is formally consistent with the one in Theorem 1.3. Actually, for and , we recover the regime (B) in Theorem 1.3, while regime (A) corresponds to . Results on the multiplicity of the eigenvalue are discussed in Subsection 4.1. 2. (2)
**Comparison with the large regime.
**In the interesting paper [7], Fournais and Persson-Sundqvist prove that for the disc geometry, , there exists a thickness and a value for the GL parameter such that the transition to the normal state is not monotone. Our contribution goes beyond that, since for any geometry and for any value of the GL parameter, we will prove that the transition to the normal state is not monotone for a certain thickness constructed in Sec. 4.4 (see Proposition 4.9 and Remark 4.10). 3. (3)
**Oscillations for bounded fields.
**The interesting contributions by Berger-Rubinstein [2] and Rubinstein-Schatzman [9] establish oscillations for bounded fields and particular values of the GL parameter. They study the convergence of the GL functional to an effective one-dimensional functional. Their results continue to hold for . That can be easily checked by the arguments used in this paper. One significant difference of our results is that they hold in the regime of large applied magnetic field and yield an estimate of the critical magnetic field. Also, our arguments differ from those in [9] and are connected to the spectral theory of the magnetic Laplacian in a thin domain. 4. (4)
**Three dimensional rings.
**Shieh and Sternberg [10] study the GL functional in a three dimensional ring (i.e. a domain of the form where is a simple closed and smooth curve) and for an applied magnetic field inversely proportional to . They identify a one dimensional limiting problem in the frame work of the -convergence and their limiting problem shows oscillations interpreted in terms of the critical temperature. Our contribution holds in a simpler geometry but it displays the oscillations for the full GL model and not only in the limit problem.
1.7. Concentration of the GL minimizers
It is natural to study the minimization of the GL energy, , for . We define the ground state energy
[TABLE]
where the space was introduced in (1.2).
Theorem 1.5**.**
Given and , then, for , as tends to ,
[TABLE]
where
[TABLE]
and is introduced in (1.19).
Moreover, if is a minimizer of the GL functional, then
[TABLE]
We can estimate the circulation of the supercurrent of a minimizing configuration provided for some , the following two separation conditions hold
[TABLE]
and
[TABLE]
Note that, by Theorem 1.4, the condition (SC) in (1.25) yields that , for . Consequently, Proposition 1.1 yields that the minimizing configurations of the GL functional are non-trivial, thereby confirming the presence of the superconducting phase. The condition (SC)δ yields that (1.18) has a unique minimizer which satisfies . Note finally that, if the constants and satisfy the relation
[TABLE]
then (SC) holds for all .
For a vector field , we introduce the circulation along as follows
[TABLE]
where indicates the arc-length measure along the boundary , and is the unit tangent vector along oriented in the counter clock-wise direction.
Theorem 1.6**.**
Given , and , there exists such that, for satisfying (SC)δ and (SC), and minimizing the GL functional,
[TABLE]
Here is the minimizer of (1.18) and is the super-current.
The proof of Theorem 1.6 is given in Section 5, where we establish an estimate compatible with the following expected behavior of the minimizing order parameter (up to a gauge transformation)
[TABLE]
where is the tangential arc-length variable of on . The convergence in (1.27) will be made precise in Section 5 later (see (5.4) and (5.5) in Proposition 5.1).
Interestingly, this is reminiscent of the surface superconductivity regime in type II superconductors (see [3] and the references therein).
Notation
Given and an open set , we denote by the usual norm in the space .
2. Proof of Theorems 1.3 & 1.4
For the considerations in Theorems 1.3 and 1.4, we assume that is a function of . We will deal with the three regimes:
[TABLE]
2.1. Boundary coordinates
Recall the definition of the geometric constants and in (1.13) and (1.14) respectively. Let be the arc-length parameterization of the boundary so that is the unit tangent vector of oriented counter-clockwise. Choose sufficiently small such that the transformation
[TABLE]
is bijective, where is the unit interior normal vector of at the point .
In the sequel, suppose that . We denote by
[TABLE]
where is the curvature of at , and is the circulation of the applied magnetic field, introduced in (1.14).
We have (see [5, Lem. F.1.1]):
[TABLE]
where
[TABLE]
[TABLE]
and is a smoth function, -periodic with respect to the -variable, and depends only on the vector field and the geometry of the domain . Hence it is independent from and the choice of the function . In fact we can take (see [5, Eq. (F.11)])
[TABLE]
where (see [5, Eq. (F.2)])
[TABLE]
since .
Moreover, we can express the -norm of in the following manner:
[TABLE]
2.2. Reduction of the operator
Let us assume now that , for some constant . This hypothesis will be valid when for example (1.17) holds, or when we consider the conclusion (B) in Theorem 1.3 .
We can estimate the quadratic form and the norm of as follows. There exist two constants and , depending on the domain only, such that, for all ,
[TABLE]
and
[TABLE]
where
[TABLE]
and
[TABLE]
Actually, this follows from the following two estimates:
[TABLE]
Let us introduce the eigenvalue as follows
[TABLE]
By the min-max principle, we deduce the existence of and such that, for all ,
[TABLE]
2.3. Spectral analysis of the reduced operator
2.3.1. Fourier modes
We decompose in Fourier modes to obtain the family of quadratic forms
[TABLE]
So we introduce for ,
[TABLE]
along with the corresponding eigenvalue
[TABLE]
Note that
[TABLE]
for
[TABLE]
The eigenvalue in (2.11) can be expressed using the eigenvalues of the fiber operators as follows,
[TABLE]
2.3.2. Scaling
Now, we assume that satisfies (1.17) for some constants and . We do the change of variable and get
[TABLE]
where is the lowest eigenvalue in of the operator defined via the closed quadratic form, with and ,
[TABLE]
The formula in (2.17) is valid for defined by (2.15), , and , where
[TABLE]
[TABLE]
2.3.3. The non-trivial regime
Comparison with the 1D-Neumann Laplacian.
Let be the Neumann Laplace operator defined in as follows
[TABLE]
The min-max principle yields the following comparison for the eigenvalues defined via the quadratic form in (2.18) and those of the operator :
[TABLE]
It is easy to check that
[TABLE]
hence the comparison in (2.22) is not effective for the first eigenvalue , since , however, for the second eigenvalue we obtain
[TABLE]
Behavior of as .
We recall from (2.20) that . Fix positive constants and . We will first write an estimate of the eigenvalue that holds uniformly with respect to and A standard argument of perturbation in allows us to expand the eigenvalue as follows
[TABLE]
We recall the proof for the commodity of the reader. We introduce a quasi-mode of the form
[TABLE]
so that
[TABLE]
Then the natural choice of (depending smoothly on ) would be
[TABLE]
We choose and , in accordance with (2.23). In order to solve the equation for , we choose so that \Big{(}(\tau+\alpha+\zeta\tau)^{2}-\mu_{1}\Big{)}u_{0} is orthogonal to in , thereby obtaining the Feynman-Hellman formula,
[TABLE]
We note for later use that
[TABLE]
With this choice, we solve the differential equation satisfied by , with the boundary conditions , and get, imposing that is orthogonal to , a unique solution .
Now, the quasi-mode satisfies
[TABLE]
and
[TABLE]
which is valid for , where and are constants that depend only on , and .
Taking , the spectral theorem and the lower bound in (2.24) then yield that there exist and such that
[TABLE]
This motivates us to introduce the following quantity
[TABLE]
Remark 2.1*.*
Combining (2.24) and (2.28), we see that, if , there exists such that, for , the eigenvalue is simple.
Minimization of .
We are interested in estimating the quantity
[TABLE]
where
[TABLE]
Choose so that . Clearly,
[TABLE]
Using the constant function as a test function in the quadratic form in (2.18), we get the existence of such that, for all and ,
[TABLE]
Here we have used for the last inequality that tends to [math] and in (2.27).
Noticing that, for ,
[TABLE]
for sufficiently small, we get by the min-max principle
[TABLE]
This proves that the minimization in (2.30) can be restricted to with . In light of (2.28), it is enough to minimize the function in (2.29) with respect to . Therefore, there exist and , such that, for all ,
[TABLE]
2.4. End of the proofs
2.4.1. The regime .
Collecting (2.12), (2.16), (2.17) and (2.34) (with defined in (2.20)), we get, as tends to [math], with , the asymptotics stated in Theorem 1.4.
2.4.2. The regime .
In this case, we restart from Subsections 2.2 and 2.3. We choose so that
[TABLE]
and set
[TABLE]
Clearly,
[TABLE]
Using the function as a test function, we get by a straightforward computation
[TABLE]
For the reverse inequality, we decompose in Fourier modes and do the rescaling , to get the following quadratic form,
[TABLE]
So, we get by the min-max principle that
[TABLE]
Finally, we use (2.12) to conclude the estimate for (Statement (B) in Theorem 1.3).
2.4.3. The regime .
In this situation, we can not use the estimate in (2.7), since replacing by produces a large error (see (2.2) and (2.10)).
We rescale the variables as follows, and . We obtain two constants and such that, for all ,
[TABLE]
where
[TABLE]
Here,
[TABLE]
and
[TABLE]
We now prove that .
Note that
[TABLE]
and
[TABLE]
Consequently,
[TABLE]
where
[TABLE]
The min-max principle now yields
[TABLE]
By decomposition into Fourier modes, we may show that
[TABLE]
where is the eigenvalue defined via the quadratic form in (2.18), for , and .
Using the min-max principle, it is easy to check that the function is continuous, positive-valued, and tends to as . Consequently, it attains its minimum, i.e. there exists such that
[TABLE]
This proves that and finishes the proof of in this regime (Statement (A) in Theorem 1.3).
3. Proof of Theorems 1.2 and 1.5
3.1. A priori estimates
There exists such that, for all , , every critical point satisfies [5, Ch. 10]
[TABLE]
Noting that the first eigenvalue of the one dimensional Dirichlet Laplacian in equals , we get from (3.1), observing that satisfies the Dirichlet condition on ,
[TABLE]
Consequently, by the div-curl inequality in
[TABLE]
By the embedding of in for , we find , using the first line of (3.1),
[TABLE]
We write by Cauchy’s inequality,
[TABLE]
where and is a critical configuration.
We estimate the term using Hölder’s inequality and (3.4) as follows
[TABLE]
Again, Hölder’s inequality yields
[TABLE]
Thus, from (3.5) and (3.6), we get the following lower bound,
[TABLE]
where is a constant independent from and .
Using this estimate, we can bound the GL functional from below as follows:
[TABLE]
and this is true for any critical configuration .
3.2. Proof of Theorem 1.2
Having Proposition 1.1 in mind, we have only to prove that (A) implies (B).
Step 1: First restriction
Using the constant function as a quasi-mode, we get that, for all ,
[TABLE]
where we take the -norm on in order to get the uniformity in .
Thus, if with
[TABLE]
we have and (B) is satisfied.
From now on, we consider and prove that (A) implies (B) under this additional condition.
Step 2: Second restriction
We assume that (A) holds. Since as and (see (1.15)), we find and such that, for and , .
The lower bound in (3.8) used with , and the min-max principle, yield that,
[TABLE]
Noting that, because ,
[TABLE]
we get, for some positive constants and ,
[TABLE]
for and any corresponding to a critical configuration.
This proves the existence of a positive such that when in contradiction with (A).
Hence at this stage, we have proven the existence of and such that if (A) holds then for .
Step 3: Proof in the remaining case
We assume that (A) holds and that . There exist and such that, for all ,
[TABLE]
This simply follows after combining (2.12) and (2.35).
We introduce
[TABLE]
The hypothesis on the non-triviality of ensures that . Also, as a consequence of the first inequality in (3.1), we get
[TABLE]
Notice that the Hölder inequality yields that
[TABLE]
By (3.7) and the min-max principle, we write, for any ,
[TABLE]
and we infer the following lower bound,
[TABLE]
Using (3.10), (3.11), (3.12), and (3.13), we get, from (3.15) with (note that by (3.12) for small enough),
[TABLE]
But , by our hypothesis, hence this yields for small enough that
[TABLE]
which implies (B) after observing that .
3.3. Proof of Theorem 1.5
Let be a minimizing configuration for . We start with the inequality in (3.8) with . Since everywhere, (3.8) yields, for some constant ,
[TABLE]
The quadratic form part in can be bounded from below by the min-max principle and Theorem 1.4, so that
[TABLE]
We rewrite in the form
[TABLE]
and get
[TABLE]
After inserting this lower bound into (3.16), we get the lower bound part in Theorem 1.5.
To obtain the matching upper bound, we write
[TABLE]
and choose as function , which is defined in the coordinates by
[TABLE]
Here is the smooth function introduced in (2.5) and is defined just after (1.19). Collecting (2.3), (2.7) and (2.8), with the choice , we get
[TABLE]
The last statement in Theorem 1.5 follows immediately of the upper bound, and the more accurate lower bound of :
[TABLE]
together with (3.16).
4. Analysis of ground states and strong diamagnetism – Applications
We discuss in this section some consequences that we obtain from the statement of Theorem 1.4 or along its proof.
4.1. On the multiplicity of the eigenvalue
Along the proof of Theorem 1.4, we get some information regarding the multiplicity of the eigenvalue when (1.17) holds. Interestingly, we get that is simple when the ‘separation’ condition (SC)δ is satisfied.
Proposition 4.1**.**
For any , there exists such that, for all satisfying the separation condition (SC)δ (see (1.24)) the eigenvalue is simple (where is given by (1.17)).
Proposition 4.1 can not be used for the sequence since for any the values violate the separation condition (SC)δ for large enough. Proposition 4.2 addresses this degenerate situation, but unfortunately, it does not provide the exact value of the multiplicity.
Proposition 4.2**.**
There exists such that, for all , the multiplicity of is .
Proof of Proposition 4.1.
From Theorem 1.4, we can choose such that, for all , the eigenvalue satisfies
[TABLE]
where .
Let us denote by the self-adjoint operator defined by the quadratic form in (2.18) for , and given in (2.19) and (2.20). We also denote by \big{(}\mu_{k}(\mathfrak{H}_{n,\varepsilon})\big{)}_{k\geq 1} the non decreasing sequence of eigenvalues of counting multiplicities. Note that, for all , the eigenvalue is simple, and by (2.24),
[TABLE]
Now, using (2.7)-(2.9), the min-max principle and the decomposition into Fourier modes (see (2.13), (2.17) and (2.18)), we get that,
[TABLE]
where is a constant, and for an operator , denotes the ’th min-max eigenvalue of .
As a consequence of (4.3),
[TABLE]
where denotes the number of eigenvalues of the operator below , counting multiplicities.
For , we have and consequently,
[TABLE]
Thus, there exists such that, for all ,
[TABLE]
where is introduced in (2.29).
Furthermore, by (4.2), for all ,
[TABLE]
Thus, we infer from (4.4),
[TABLE]
The condition of separation ensures that there exist a unique minimizing the problem in (1.18) and such that, for all and satisfying (SC)δ,
[TABLE]
Using (2.33), we can restrict to counting the set of satisfying the conditions
[TABLE]
For and , we know, thanks to (2.28), that
[TABLE]
We infer from the condition in (4.6), that, for sufficiently small,
[TABLE]
Consequently, for sufficiently small,
[TABLE]
which, when combined with (4.1), yields the simplicity of the eigenvalue .∎
Remark 4.3*.*
Collecting (4.3) and (4.6), we get under the assumptions of Proposition 4.1 that the spectral gap between the first and second eigenvalues of satisfies for sufficiently small,
[TABLE]
Proof of Proposition 4.2.
The problem in (1.18) may have at most two minimizers. Let be the smallest minimizer of (1.18). There exist and , such that for and , we have
[TABLE]
Consequently, (4.5) yields the existence of such that, for ,
[TABLE]
where is the constant in (4.1). ∎
Remark 4.4*.*
Assume that and the problem (1.18) has two minimizers and . Then, there exists and a possibly smaller such that, for , the second min-max eigenvalue satisfies,
[TABLE]
This can be achieved by using the min-max formula with the two dimensional eigenspace V_{0}:={\rm span}\big{(}v_{n_{0}},v_{m_{0}}\big{)}\,, where, for every integer , the function is defined as follows,
[TABLE]
with the normalized ground state of the effective operator .
This case covers the sequence with , where, by Theorem 1.4 ,
[TABLE]
An interesting question would be to determine the gap
4.2. Structure of ground states
When the separation condition (SC)δ holds, the eigenvalue is simple. We can prove that the ground states of the operator have a simple structure. We denote by the orthogonal projection on the space of ground states of and will have:
Proposition 4.5**.**
For any , there exists such that, for all satisfying condition (SC)δ, we have
[TABLE]
where
- •
* is given by (1.17),*
- •
\displaystyle u_{0}(x)=\exp\Big{(}-ib_{\varepsilon}\varphi_{0}(s,t)\Big{)}\,\exp\left(\frac{in_{0}\pi s}{L}\right)\,,\quad(x=\Phi_{0}(s,t))\,,**
- •
* is the minimizer of (1.19),*
- •
* is the function in (2.5), and is the diffeomorphism introduced in (2.1).*
Before the proof we recall an abstract lemma in Hilbertian analysis which reads in our application as follows:
Lemma 4.6**.**
Assume that , and satisfy
[TABLE]
Then
[TABLE]
and
[TABLE]
Here is given in (1.17).
We will use Lemma 4.6 in the proof of Proposition 4.5 and also later in Section 5. For the convenience of the reader, we recall its standard proof.
Proof of Lemma 4.6.
We start by observing the following two identities
[TABLE]
and
[TABLE]
This implies through (4.11) the inequality (4.12).
Now, we write by the min-max principle,
[TABLE]
Collecting the foregoing estimates and (4.11), we get
[TABLE]
which gives (4.13) and finishes the proof of Lemma 4.6. ∎
Proof of Proposition 4.5.
Let be the quantity introduced in (1.22). It is easy to check that
[TABLE]
and
[TABLE]
Now, using Theorem 1.4, we may write
[TABLE]
By Lemma 4.6, we deduce that
[TABLE]
To finish the proof, we use the lower bound of the spectral gap given in Remark 4.3. ∎
Remark 4.7*.*
Proposition 4.5 yields the existence of such that, for all and ,
[TABLE]
Indeed, since the eigenvalue is simple, the corresponding eigenspace is spanned by the following normalized ground state
[TABLE]
and
[TABLE]
4.3. Breakdown of superconductivity
A celebrated result by Giorgi-Phillips [4] establishes the breakdown of superconductivity when the parameter measuring the strength of the magnetic field is sufficiently large. One consequence of the main results of this paper is the following ‘quantitative’ version of the breakdown of superconductivity.
Proposition 4.8**.**
Given and , there exists such that, for all , all , every critical point is trivial.
Proof.
We first see from Theorem 1.3 (assertion (A), with ) together with Theorem 1.2, that this is true for .
Assuming now that , we prove it by contradiction. If there were sequences and such that , for some , and a non trivial minimizer, then an easy adjustment of the proof of Theorem 1.4 yields that
[TABLE]
Consequently, we get for large enough, because . Theorem 1.2 leads to a contradiction. ∎
4.4. Lack of strong diamagnetism and oscillations in the Little-Parks framework
The behavior of the eigenvalue in Theorem 1.4 shows a pleasant connection to the oscillatory behavior of the Little-Parks experiment. The following statement displays counterexamples to strong diamagnetism.
Proposition 4.9**.**
There exists a sequence which converges to [math] such that, for all , the function is not monotone increasing.
Proof.
Choose so that
[TABLE]
Let us define the following sequence
[TABLE]
Define by
[TABLE]
Then, we notice that, as ,
[TABLE]
Hence we find such that the statement of the proposition holds for . ∎
Remark 4.10*.*
Along the proof of Proposition 4.9, we obtain the two remarkable observations:
- •
For sufficiently large while .
- •
By Theorem 1.2, for large , the minimizers , , are non-trivial, while any critical point is trivial.
Thus, the transition from the superconducting to the normal state is not monotone, which is in agreement with the Little-Parks experiment.
5. Structure of the order parameter and circulation of the super-current
5.1. Hypotheses
Throughout this section, we work under the following hypothesis on the parameter :
[TABLE]
where and are fixed constants.
The results of this section will concern an arbitrary minimizer of the GL functional, provided satisfies (5.1), and satisfies the ‘separation’ conditions (SC)δ and (SC) introduced in (1.24)-(1.25).
5.2. Approximation of the order parameter
In light of Theorem 1.5, we introduce the following quantity
[TABLE]
where is introduced in (1.22). Note that, under the hypotheses in Subsection 5.1, there exists a constant such that, for all sufficiently small,
[TABLE]
Let be the function introduced in Proposition 4.5. We will prove that, up to multiplication by and a complex phase, the function provides us with a good approximation of the GL order parameter .
Proposition 5.1**.**
There exist constants such that, if
- •
* satisfies the separation conditions (SC)δ and (SC) ;*
- •
* satisfies (5.1) ;*
- •
* is a minimizer of the GL functional in (1.1) ;*
then, there exists such that , satisfies
[TABLE]
and its trace on satisfies
[TABLE]
Proof.
Proof of (5.4).
Collecting (3.16) and (3.19), we infer from Theorem 1.5,
[TABLE]
Furthermore, it results from Theorem 1.5 (see (1.23)) together with the definiton of in (5.2) that
[TABLE]
Consequently,
[TABLE]
Note that (5.2) yields that , which in turn yields the following identity,
[TABLE]
Now we insert this identity into (5.6) to get (see (1.1) and (1.11)):
[TABLE]
Recall that with given in (5.1). Using Theorem 1.4 and the definition of in (1.22), we get further
[TABLE]
Now, we can apply Lemma 4.6 (with ). Using the estimate in (4.7), we get
[TABLE]
and
[TABLE]
Let be the function introduced in Proposition 4.5. By Remark 4.7, we know that
[TABLE]
We can estimate as follows.
On one hand we have
[TABLE]
On the other hand, using (5.9) and (5.11), we have
[TABLE]
thereby obtaining that
[TABLE]
Now, we set
[TABLE]
We observe that
[TABLE]
and, after collecting (5.9) and (5.11),
[TABLE]
∎
Proof of (5.5).
We first compute,
[TABLE]
We perform an integration by parts to rewrite the last term of above in the form
[TABLE]
We then insert (4.14) and get,
[TABLE]
where we used (5.11) and (5.13) for the last statement above. Combining this estimate and (5.10), we get
[TABLE]
Let us introduce the function
[TABLE]
By the diamagnetic inequality, we infer from (5.15),
[TABLE]
Define now the re-scaled function
[TABLE]
where , is the transformation introduced in (2.1), and is a sufficiently small constant so that the transformation is bijective.
We can define a function by means of the function as follows
[TABLE]
Consequently, we obtain from (5.14) and (5.16),
[TABLE]
By the trace theorem, we deduce that
[TABLE]
∎
Having proved (5.4) and (5.5), we have achieved the proof of Proposition 5.1. ∎
5.3. More a priori estimates
Using the curl-div estimate, we can write,
[TABLE]
where we used (3.1) and (3.2) to get the estimate .
Also, the following estimate holds (see [1, Lem. B.1])
[TABLE]
where we used (3.1) to get the estimate .
Consequently, the Sobolev embedding theorem yields, for every ,
[TABLE]
5.4. Proof of Theorem 1.6
With the following notation
[TABLE]
we may express the super-current as follows
[TABLE]
We will prove (see (1.26)) that
[TABLE]
where is the unit tangent vector of oriented in the counter-clockwise direction, and is the minimizer of (1.18). Note that depends on and is , as .
Lemma 5.2**.**
[TABLE]
Proof.
We perform the simple decomposition
[TABLE]
In light of (5.5) and (5.19), we write,
[TABLE]
By the Stokes formula,
[TABLE]
∎
Let be the transformation introduced in (2.1). Denote by and define the function as follows
[TABLE]
where is introduced in (2.5) and is the unit complex number defined in (5.12). Thanks to (5.3), is well defined by (5.21) and satisfies
[TABLE]
Furthermore, it results from (5.5) that \tilde{u}\big{|}_{t=0} converges to in .
Lemma 5.3**.**
[TABLE]
Proof.
By a computation analgous with the one in (2.3),
[TABLE]
where
[TABLE]
and is introduced in (2.2).
Consequently, we infer from (5.6) and (5.8),
[TABLE]
To finish the proof, it remains to to prove that . To that end, it is enough to prove that .
Since minimizes (1.18),
[TABLE]
Since and ,
[TABLE]
Now, the foregoing estimate and (5.22) yield,
[TABLE]
∎
Lemma 5.4**.**
[TABLE]
Proof.
Notice that
[TABLE]
where (see (5.21))
[TABLE]
Consequently,
[TABLE]
with
[TABLE]
since in , as .
We estimate the integral of . By the periodicity of the function ,
[TABLE]
Using (5.22),
[TABLE]
since in . Thus,
[TABLE]
It remains to estimate the integral of (i\tilde{u},\partial_{s}\tilde{u})\big{|}_{t=0}. In fact,
[TABLE]
where is a cut-off function in satisfying in , , and in .
Note that
[TABLE]
Using Lemma 5.3 and the Cauchy-Schwarz inequality, we get
[TABLE]
and
[TABLE]
As for the term , we do an integration by parts in the -variable and use the periodicity with respect to to get
[TABLE]
Now, by Lemma 5.3 and the Cauchy-Schwarz inequality,
[TABLE]
Collecting the foregoing estimates, we infer from (5.27),
[TABLE]
Inserting (5.25), (5.26) and (5.28) into (5.24), we finish the proof of Lemma 5.2. ∎
Proof of (5.20).
By collecting the formulas in Lemmas 5.2 and 5.4, we obtain
[TABLE]
This fomula yields (5.20) since , by (5.23). Having proved (5.20), we have finished the proof of Theorem 1.6. ∎
Acknowledgements
This work started while the authors visited the Mittag-Leffler Institute in January 2019. A. Kachmar is supported by the Lebanese University within the project “Analytical and numerical aspects of the Ginzburg-Landau model”.
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