Abstract
This paper concerns the asymptotic behavior of the stable solution \((f_\lambda ,{\mathbf {Q}}_\lambda )\) of the full Meissner state equation for a two-dimensional superconductor with penetration depth \(\lambda \) and Ginzburg–Landau parameter \(\kappa \), and subjected to an applied magnetic field \({\mathcal {H}}^e\). It is known that the solution is stable if the minimum value of \(|f_\lambda (x)|^2-|{\mathbf {Q}}_\lambda (x)|^2\) is larger than 1/3, and the solution loses its stability when the minimum value reached 1/3. It has been conjectured that the location of the minimum points of \(|f_\lambda (x)|^2-|{\mathbf {Q}}_\lambda (x)|^2\) has connection with the location of vortex nucleation of the superconductor. In this paper, we prove that if the penetration depth \(\lambda \) is small, the solution \((f_\lambda , {\mathbf {Q}}_\lambda )\) exhibits boundary layer behavior, and \((1-f_\lambda , {\mathbf {Q}}_\lambda )\) exponentially decays in the normal direction away from the boundary. Moreover, the minimum points of \(|f_\lambda (x)|^2-|{\mathbf {Q}}_\lambda (x)|^2\) locate near the set \(S({\mathcal {H}}^e)\), which is determined by the applied magnetic field \({\mathcal {H}}^e\) and the geometry of the domain. In the special case where the applied magnetic field \({\mathcal {H}}^e\) is constant, the minimum points of \(|f_\lambda (x)|^2-|{\mathbf {Q}}_\lambda (x)|^2\) locate near the maximum points of the curvature of the domain boundary.
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Acknowledgements
The authors thank the referee for many valuable suggestions and comments that helped to improve the paper. This work was partially supported by the National Natural Science Foundation of China grant no. 11771335 and 12071142, and by the research grants no. UDF01001805 and GXWD20201231105722002.
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Appendices
Appendix A: Uniqueness of the solution to system (2.11)
Lemma A.1
If (2.11) has a solution \((f_{0}, {\mathbf {Q}}_{0})\in C^2({\mathbb {R}}_{+}^2, {\mathbb {R}}^3)\) satisfying (2.12), then it is unique.
Proof
The uniqueness has been proved in Proposition 2.2, where we used the fact that the functional \({\mathcal {E}}\) is strictly convex. Here we give a direct proof. The idea of the proof goes back to Lemma 4.2 in [26] where the case of the bounded domains was treated.
Let \((f_{1}, {\mathbf {Q}}_1)\) and \((f_{2}, {\mathbf {Q}}_2)\) be two solutions, both satisfying
Let \(h\in H^1(\mathbb {R}^2)\) and \({\mathbf {B}}\in H^1(\text {curl}, \mathbb {R}^2)\), both with compact support. We have
Take \(h=\eta ^2(f_1-f_2)\) and \({\mathbf {B}}=\eta ^2({\mathbf {Q}}_1-{\mathbf {Q}}_2)\), where \(\eta \) is a smooth function with compact support in \(\mathbb {R}^2.\) Then we have
where \(f_t=f_1+t(f_1-f_2)\) and \({\mathbf {Q}}_t={\mathbf {Q}}_1+t({\mathbf {Q}}_1-{\mathbf {Q}}_2)\). Note that
Then
Taking \(\eta =e^{-\sigma r} \xi (r)\), where \(\xi (r)\) is a smooth cut-off function such that \(\xi (r)=1\) for \(r<R\), \(\xi (r)=0\) for \(r > R + 1,\) and \(\xi '(r)\le 2.\) Then we have
Letting \(R\rightarrow \infty \) first and then letting \(\sigma \rightarrow 0\) in the above inequality , we obtain that \(f_1=f_2\) and \({\mathbf {Q}}_1={\mathbf {Q}}_2.\) \(\square \)
Appendix B: Exponential decay for some ODEs
Consider the following system
Definition B.1
We say that the coefficient matrix \(A(z_2)=(a_{ij}(z_2))_{2\times 2}\) is elliptic if there exist positive constants \(\lambda \) and M such that
for all \(\xi \in {\mathbb {R}}^2\) and almost every \(z_2 \in {\mathbb {R}}_{+}\).
Proposition B.2
Assume that the matrix \(A(z_2)=(a_{ij}(z_2))_{2\times 2}\) is elliptic, and suppose there exist positive constants \(\alpha _5\), \(\beta _5\), \(M_1\) and \(M_2\) such that
Then system (B.1) has a unique solution \((u, v)\in C^2(\mathbb {R}_+)\cap H^1(\mathbb {R}_+)\). Moreover, for any real number \(\mu \) satisfying \(0<\mu <\min \{\sqrt{\lambda },\alpha _5,\beta _5\}\) we have
where the constant C depends on the constants in (B.2) and (B.3).
Proof
Replacing u by \(u-u_0 e^{-\lambda z_2}\) and v by \(v-v_0 e^{-\lambda z_2}\), we see that there is no loss of generality in assuming \(u_0=v_0=0.\) Let us fix a constant \(\mu \) with \(0<\mu <\min \{\sqrt{\lambda },\alpha _5,\beta _5\}\), and take a function \(\eta \in C^2(\mathbb {R}_+)\) satisfying
Define a space
Equipped with the norm
and the inner product
\({\mathscr {Y}}\) is a Hilbert space.
Define a bilinear form \({\mathcal {B}}[(\cdot ,\cdot ),(\cdot ,\cdot )]\) on \({\mathscr {Y}}\) by
Using the condition (B.2) on the coefficient matrix A and the assumption (B.5) on the function \(\eta \), and by the Cauchy’s inequality, there exists a constant K depending only on the constants in (B.2) and \(\mu \), such that for all (u, v) and \((u^*,v^*)\) in \({\mathscr {Y}}\) we have
Therefore, \({\mathcal {B}}\) is bounded and coercive on \({\mathscr {Y}}\). Then the existence and uniqueness of the solution to (B.1) in \({\mathscr {Y}}\) follows from the Lax-Milgram lemma.
Set \({\check{u}}=\eta u\) and \({\check{v}}=\eta v\). Then \(({\check{u}}, {\check{v}})\) satisfies
Also, we have
Then by the Cauchy’s inequality we get
Since \(H^1(\mathbb {R}_{+})\) is continuously embedded into \(C^0(\mathbb {R}_{+})\), then we have
This proves (B.4). \(\square \)
Proof of Proposition 2.5
From Proposition 2.2, we obtain the decay estimate for \( |{\hat{f}}_{0}(y_1, z_2)|\) and \( |{\hat{{\mathbf {Q}}}}_0(y_1,z_2)|\) at \(y_1=0\). Next we derive the estimates for \(\partial _{y_1}{\hat{f}}_{0}(y_1, z_2)\) and \(\partial _{y_1}{\hat{{\mathbf {Q}}}}_0(y_1,z_2)\) at \(y_1=0.\) Recall that
Then from the equation (5.18) in section 5, we see that \((p(z_2), q (z_2))\) satisfies
Let \(\lambda (z_2)\) be the minimum eigenvalue of the matrix
Then \(\lambda (z_2)\rightarrow 1\) as \(z_2\rightarrow \infty .\) Now we can apply Proposition B.2 to conclude that, for any real number \(\beta _1\) satisfying \(0<\beta _1<1\) we have
Applying Proposition B.2 again for the first equation in (B.7) and noting that \(|Q_0^1|\le C e^{-\beta _1 z_2},\) for any real number \(\alpha _1\) satisfying \(0<\alpha _1<\min \{2, \sqrt{2}\kappa \}\), we have
We derive the higher derivative estimates of \({\hat{f}}_{0}(y_1, z_2)\) and \({\hat{{\mathbf {Q}}}}_0(y_1,z_2)\) at \(y_1=0.\) From the equation (3.5), we see that
satisfy
where
for \(i=2,3.\) As the proof of the estimates of \(p(z_2)\) and \(q(z_2)\), by applying Proposition B.2 we can obtain the decay estimates of \(\partial _{y_1^i}^i {\hat{f}}_{0}(0,z_2)\) and \(\partial _{y_1^i}^i {\hat{Q}}_{0}^1(0,z_2)\) for \(i=2,3.\)
Applying the above argument to the equations of \(\partial _{y_1^i}^i {\hat{f}}_{0}(0,z_2)\) and \(\partial _{y_1^i}^i {\hat{Q}}_{0}^1(0,z_2)\) respectively, we immediately obtain the decay estimates of \(|\partial _{y_1^i z_2^2}^{i+2}{\hat{f}}_{0}(y_1, z_2)|\) and \(|\partial _{y_1^i z_2^2}^{i+2}{\hat{{\mathbf {Q}}}}_0(y_1,z_2)|\) for \(i=0,\cdots ,3\).
Integrating from \(z_2\) to \(\infty \) on both sides of the equations of \(\partial _{y_1^i}^i {\hat{f}}_{0}(0,z_2)\) and \(\partial _{y_1^i}^i {\hat{Q}}_{0}^1(0,z_2)\) respectively, we can obtain the decay estimates of \(|\partial _{y_1^i z_2}^{i+1}{\hat{f}}_{0}(y_1, z_2)|\) and \(|\partial _{y_1^i z_2}^{i+1}{\hat{{\mathbf {Q}}}}_0(y_1,z_2)|\) for \(i=0,\ldots ,3\).
Now we have proved Proposition 2.5 for \(y_1=0.\) Replacing \(\hat{{\mathcal {H}}}^e(0)\) by \(\hat{{\mathcal {H}}}^e(y_1)\) in (B.7) and in (B.8), then noting that \(\hat{{\mathcal {H}}}^e\in C^3(\partial \Omega ),\) we see that Proposition 2.5 also holds for \(y_1\ne 0.\) Now we have completed the proof. \(\square \)
Appendix C: Derivation of system (2.20)
To derive equation (2.20) we need the local coordinate expansions introduced in [24, section 3]. Here we keep the notations in section 2. We use \({\mathfrak {R}}_i(|y_1^3|)\), \(i=1,2,\cdots \), to denote a function of \(y_1\) and \(z_2\) which is of order \((|y_1^3|)\) uniformly for \(z_2\), and use \({\mathfrak {R}}_{i}(\lambda ^k)\), \(k>0\), \(i=1,2,\cdots \), to denote a function of \(y_1\) and \(z_2\) which is of order \((\lambda ^k)\).
For the function g defined in (2.2) we have, for \(\lambda >0\) small,
where \(k'(0)={\mathrm {d} k\over \mathrm {d} s}(0)={\mathrm {d} k\over \mathrm {d} y_1}(0).\) For any fixed \(z_2\ge 0\), we have the formal asymptotic expansions for \({\hat{f}}_{0}(y_1, z_2)\) and \({\hat{{\mathbf {Q}}}}_{0}(y_1, z_2)\) with respect to the variable \(y_1\) at the point \((0, z_2)\):
where
is the solution of (2.14), \(({\hat{f}}_0(y_1, z_2), \hat{{{\textbf {Q}}}}_0(y_1, z_2))\) is the solution of (5.18).
Write
Then we take the expansions for \({\tilde{f}}\) and \({\tilde{{\mathbf {Q}}}}\) in (2.6) with respect to \(\lambda \), and have
where \(f_1={\hat{f}}_{1}(0, z_2)\) and \({\mathbf {Q}}_1={\hat{{\mathbf {Q}}}}_{1}(0, z_2)=(Q_1^1, Q_1^2)\) are to be determined.
Firstly, we have
Then,
and
where \(p=p(z_2)\) and \(q=q(z_2)\) are defined in (C.2). Using (C.5), for \(\mathcal {M}_1(\lambda z)\) and \(\mathcal {M}_2(\lambda z)\) defined by (2.3) we have
Also, we have
We now consider the equations at the point \((0,z_2)\). We have
and
For \(\mathcal {M}_1(\lambda z)\) we have
Also, we have
Comparing with the coefficients of \(\lambda \), we obtain the equations (2.20) for the first order terms.
Appendix D: Derivation of system (2.22) and proof of (3.5)
We follow the notations used in section 2 and in appendix C. Let \({\mathfrak {R}}_{i}(\lambda ^2)\) be the terms appear in appendix C, and it has been proved in section 3 that these terms have the order \(O(\lambda ^2)\) uniformly for \(y_1\) and \(z_2\). In this section we shall expand these terms in the form
where \(R_i\) denotes a functions of \(y_1\) and \(z_2\) which is independent of \(\lambda \), and \({\mathfrak {R}}_{i}(\lambda ^3)\) denotes a function of \(y_1\) and \(z_2\) which is of the order \(O(\lambda ^3)\).
From the inner expansion (2.9) and the expansion (C.2), we have the expansions for the function \({\mathfrak {R}}_3\) and the vector field \({\mathfrak {R}}_4\) in (C.4):
and
where
is the solution of (2.14),
is the solution of (2.20), and
is to be determined now.
From (C.5), we have
Then we have the expansions for \({\mathfrak {R}}_6\) in (C.6) and for \({\mathfrak {R}}_7\) in (C.7):
and
From (D.1), (D.2) and (C.8), we see that
and
From (D.1), (D.2) and (C.9), we have
We now consider the equations at the point \((0, z_2).\) From the expression of \({\mathfrak {R}}_{6}(\lambda ^3)\), it follows that,
From the expression of \({\mathfrak {R}}_{7}(\lambda ^3)\), we have
From the expressions of \({\mathfrak {R}}_{8}(\lambda ^3)\) and \({\mathfrak {R}}_{9}(\lambda ^3)\), we have
and
From \({\mathfrak {R}}_{10}(\lambda ^3)\), it follows that
Comparing with the coefficients of \(\lambda ^2\), we obtain the equations (2.22) for the second order terms.
Proof of Lemma 3.1
Step 1. From (3.2), we can see that
where \(\sigma _n\) is defined by (3.1). Then (3.5) holds for \(x\in \Omega \backslash \sigma _2\).
Step 2. We show the estimate (3.5) when \(x\in \sigma _4.\) We consider this problem in a neighborhood \({\mathcal {U}}\) of \(X_0\in \partial \Omega \). We follow the notation used in section 2 and in appendix C.
To obtain \({\tilde{{\mathbf {b}}}}\), we replace the expressions of \({\tilde{f}}\) and \({\tilde{{\mathbf {Q}}}}\) by
under the \(z-\) coordinate system in (C.4) respectively.
We first estimate \({\tilde{b}}_1(z_1, z_2,\lambda ),\) where \({\tilde{b}}_1(z_1, z_2, \lambda )\) is the representation of \(b_1(x,\lambda )\) under the z-coordinate system. At the point \((0, z_2),\) from (D.7) and (D.8) we have
and
where \(k_0=k(0)\) is the curvature of \(\partial \Omega \) at the point \(X_0\), \(k_0'={\mathrm {d} k\over \mathrm {d} s}(0)= {\mathrm {d} k\over \mathrm {d} y_1}(0)\),
We see that \({\mathfrak {R}}_{24}(\lambda ^3)\) and \({\mathfrak {R}}_{25}(\lambda ^3)\) are the polynomials of \({\hat{f}}_{0}, {\hat{f}}_{1},{\hat{f}}_{2}, {\hat{{\mathbf {Q}}}}_{0}, {\hat{{\mathbf {Q}}}}_{1}, {\hat{{\mathbf {Q}}}}_{2}\) and their derivatives up to the order 2 at \((0, z_2)\). From Proposition 2.5, Proposition 2.7 and Proposition 2.9, it follows that
For any \(x\in \sigma _4\), let \(\psi \) be defined by (2.1), \(x=\psi (y_1,y_2)\), \(z_1=y_1/\lambda , z_2=y_2/\lambda .\) Then \({\tilde{b}}_1(0, z_2, \lambda )={\mathfrak {R}}_{24}(\lambda ^3)+{\mathfrak {R}}_{25}(\lambda ^3).\) Note that \({\hat{f}}_{0}, {\hat{f}}_{1},{\hat{f}}_{2}, {\hat{{\mathbf {Q}}}}_{0}, {\hat{{\mathbf {Q}}}}_{1}, {\hat{{\mathbf {Q}}}}_{2}\) and their derivatives up to the order 2 are continuously differentiable with respect to the parameter \(y_1\) (by applying the continuous differentiability of solutions with respect to parameters in the theory of ODEs). Therefore, for each \(z_1\ne 0,\) we also have
We now estimate \({\tilde{{\mathbf {b}}}}_2=({\tilde{b}}_2^1, {\tilde{b}}_2^2).\) At the point \((y_1, z_2)\) with \(y_1=\lambda z_2\), from (D.4) we have
where
and
From (D.5) we have
where g is defined by (2.2),
and
From (D.6) we have
Then
We see that \({\tilde{b}}_2^1\) and \( {\tilde{b}}_2^2\) are the polynomials of \({\hat{f}}_{0}, {\hat{f}}_{1},{\hat{f}}_{2}, {\hat{{\mathbf {Q}}}}_{0}, {\hat{{\mathbf {Q}}}}_{1}, {\hat{{\mathbf {Q}}}}_{2}\) and their derivatives up to the order 2. Using Proposition 2.5, Proposition 2.7 and Proposition 2.9 again, we have
where \(\sigma _4\) is defined in (3.1), \(\psi \) is defined by (2.1). Thus, we have (3.5) for \(x\in \sigma _4\) by the scaling argument.
Step 3. From Proposition 2.5, Proposition 2.7 and Proposition 2.9, we see that, each component of \({\tilde{{\mathbf {b}}}}(z,\lambda )\) is a linear combinations of exponentially decaying terms with respect to \(z_2\). Therefore, for \(x\in \sigma _2\backslash \sigma _4\) we also have (3.5) for small \(\lambda \).
We now finish the proof of (3.5). \(\square \)
Appendix E: Derivation of the boundary condition (3.8)
To derive the boundary condition of \(R_{f}\), we use the boundary condition of \({\hat{f}}_{0}\) in (5.18), that of \({\hat{f}}_{1}\) in (5.19), and that of \({\hat{f}}_{2}\) (see (2.22) when \(y_1=0\)), and find
To derive the boundary condition for \({\mathbf {R}}_{{\mathbf {Q}}}\), we first consider the value of \(\lambda \,\text {curl}{\mathbf {R}}_{{\mathbf {Q}}}\) at \(X_0\in \partial \Omega \). We keep the notation used in section 2. We use equality (C.5) in appendix C with \({\mathbf {Q}}(x)\) replaced by \({\mathbf {Q}}_{\mathrm ap}(x)\), and use equality (D.3) in appendix D. Then we have
where \(k_0\) is the curvature of \(\partial \Omega \) at \(X_0\). Then we use the boundary condition of \(Q_0^1\) in (2.14), the boundary condition of \((Q_1^1, Q_1^2)\) in (2.20), and that of \((Q_2^1, Q_2^2)\) in (2.22) to get
Similarly, for any \(x\in \partial \Omega ,\) we also have
where
k(x) is the curvature of \(\partial \Omega \) at x, \(z_2=y_2/\lambda ,\) \(x=\psi (y_1,y_2)\) and \(\psi \) is defined by (2.1). From Proposition 2.9, we have
Combining (E.1) with the boundary condition \(\lambda \text {curl}{\mathbf {Q}}={\mathcal {H}}^e\) on \(\partial \Omega \), we immediately obtain that
Now we compute the value of \({\mathbf {n}}\cdot {\mathbf {R}}_{{\mathbf {Q}}}\) on \(\partial \Omega \). We first calculate the value of \(f_{\mathrm ap}^2 {\mathbf {n}}\cdot {\mathbf {Q}}_{\mathrm ap}(x)\) at \(X_0\in \partial \Omega \). From (2.21) and (2.23), we have
and
Then
where
Similarly, for any \(x\in \partial \Omega ,\) we also have
where
\(z_2=y_2/\lambda ,\) \(x=\psi (y_1,y_2)\), and \(\psi \) is defined by (2.1). From Proposition 2.5, Proposition 2.7 and Proposition 2.9, we have
From the second and the third equations in (1.1), it follows that
This gives that
Summarizing, we obtain the boundary conditions (3.8) for system (3.7).
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Pan, XB., Xiang, X. On the shape of Meissner solutions to the 2-dimensional Ginzburg–Landau system. Math. Ann. 387, 541–613 (2023). https://doi.org/10.1007/s00208-022-02460-2
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DOI: https://doi.org/10.1007/s00208-022-02460-2