Minimizing 1/2-harmonic maps into spheres
Vincent Millot, Marc Pegon

TL;DR
This paper advances the understanding of regularity and singularities of minimizing 1/2-harmonic maps into spheres, establishing smoothness in certain dimensions and classifying singularities in two dimensions.
Contribution
It improves partial regularity results for 1/2-harmonic maps into spheres and classifies singularities in two dimensions, including uniqueness of certain homogeneous solutions.
Findings
Minimizing 1/2-harmonic maps are smooth in 2D for target spheres of dimension ≥2.
Singular sets have codimension at least 3 in higher dimensions.
Unique non-trivial 0-homogeneous minimizers from the plane into the circle are rotations of x/|x|.
Abstract
In this article, we improve the partial regularity theory for minimizing -harmonic maps in the case where the target manifold is the -dimensional sphere. For , we show that minimizing -harmonic maps are smooth in dimension 2, and have a singular set of codimension at least 3 in higher dimensions. For , we prove that, up to an orthogonal transformation, is the unique non trivial -homogeneous minimizing -harmonic map from the plane into the circle . As a corollary, each point singularity of a minimizing -harmonic maps from a 2d domain into has a topological charge equal to .
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Minimizing -harmonic maps into spheres
Vincent Millot
and
Marc Pegon
Université Paris-Diderot, Sorbonne Paris-Cité, Sorbonne Université, CNRS, Laboratoire Jacques-Louis Lions, F-75013 Paris
Abstract.
In this article, we improve the partial regularity theory for minimizing -harmonic maps of [30, 33] in the case where the target manifold is the -dimensional sphere. For , we show that minimizing -harmonic maps are smooth in dimension 2, and have a singular set of codimension at least 3 in higher dimensions. For , we prove that, up to an orthogonal transformation, is the unique non trivial [math]-homogeneous minimizing -harmonic map from the plane into the circle . As a corollary, each point singularity of a minimizing -harmonic maps from a 2d domain into has a topological charge equal to .
Contents
- 1 Introduction
- 2 Harmonic extension & the -Laplacian
- 3 -harmonic maps vs harmonic maps with free boundary
- 4 Minimizing -harmonic maps into a sphere
- 5 Minimizing -harmonic maps into the circle
- A
1. Introduction
In a serie of articles [13, 14, 9, 10], F. Da Lio & T. Rivière have introduced and studied the fractional -harmonic maps from the real line into a manifold. Given a compact smooth submanifold without boundary, -harmonic maps into are defined as a critical points of the so-called -Dirichlet energy under the constraint to be -valued. They naturally appear in several geometric problems such as minimal surfaces with free boundary, see [10, 11, 12, 22, 37, 42] and Section 4.2. They also come into play in some Ginzburg-Landau models for supraconductivity, see e.g. [3] and references therein. The Euler-Lagrange equation satisfied by -harmonic maps is in strong analogy with the standard harmonic map system. Instead of the usual Laplace operator, the equation involves the square root Laplacian as defined in Fourier space (i.e., the multiplier operator of symbol ), and it suffers the same pathologies regarding regularity. A main issue was then to prove the smoothness a priori of weak solutions. It has been achieved in [13, 14], thus extending the famous regularity result of F. Hélein for harmonic maps from surfaces [26]. The notion of -harmonic maps has been extended in [30, 33] to higher dimensions, and partial regularity for minimizing or stationary -harmonic maps established (again in analogy with minimizing/stationary harmonic maps [4, 19, 38]). Before going further, let us now describe in detail the mathematical framework.
Given a bounded open set , the -Dirichlet energy in of a measurable map is defined as
[TABLE]
where . The normalization constant is chosen in such a way that
[TABLE]
Following [30, Section 2], we denote by the Hilbert space made of all such that , and we set
[TABLE]
Definition 1.1**.**
A map is said to be a weakly -harmonic map in with values in if
[TABLE]
where denotes the nearest point projection on .
According to [30, Section 4], a weakly -harmonic map in satisfies the variational Euler-Lagrange equation
[TABLE]
for every . In other words, (1.1) holds for every satisfying for a.e. (recall that is the completion of in for the norm topology). This equation is the weak formulation of the nonlinear system
[TABLE]
where is the integro-differential operator given by
[TABLE]
(The notation means that the integral is taken in the Cauchy principal value sense.) In the case (the unit sphere of ), the Lagrange multiplier relative to the constraint to be -valued takes a very simple form, and equation (1.2) rewrites (see [30, Remark 4.3])
[TABLE]
In this case, it is clear that the right hand side in (1.3) has a priori no better integrability than , and thus linear elliptic theory does not apply to determine the smoothness of solutions. In [13, 14] and subsequently in [28], the authors have shown that the source term can actually be rewritten in some “fractional div-curl form”. As a consequence, nonlinear compensations appear and the right hand side of (1.3) belongs in fact to the Hardy space. In dimension 1, it leads to continuity and then full regularity as it happens for harmonic maps in dimension 2 [26]. In higher dimensions, we do not expect any kind of regularity for weakly -harmonic maps into a general manifold, again by analogy with weakly harmonic maps in dimensions greater than three [35]. However, some partial regularity does hold for minimizing (or at least stationary) -harmonic maps.
Definition 1.2**.**
A map is said to be a minimizing -harmonic map in with values in if
[TABLE]
for every competitor such that .
The result of [30, 33] asserts that a minimizing -harmonic map in belongs to C^{\infty}\big{(}\Omega\setminus{\rm sing}(u)\big{)} where is the singular set of in defined as
[TABLE]
which is a relatively closed subset of . Moreover, for , and is locally finite in for (the notation stands for the Hausdorff dimension), see Corollary 3.7.
The main purpose of this article is to improve this general regularity result in the case of minimizing -harmonic maps into the sphere . In a first direction, we prove that the size of the singular set can be reduced in case of two or higher dimensional spheres.
Theorem 1.3**.**
Assume that . Let be a smooth bounded open set. If is a minimizing -harmonic map in , then for , is locally finite in for , and for .
For , i.e., in the case of minimizing -harmonic maps into , such improved regularity cannot hold for topological reasons, even in dimension 2. To illustrate this fact, let us consider the following variational problem
[TABLE]
where denotes the open unit disc in , and is a smooth given map of non vanishing topological degree. Existence of minimizers easily follows from the direct method of calculus of variations, and any minimizer is obviously a minimizing -harmonic map in . On the other hand, the degree condition on implies that does not admit a continuous extension to the whole disc , and thus any minimizer must have at least one singular point. In dimension 2, we already know that the set of singularities is locally finite, and our purpose is to give a description of “their shape”. This description relies on a blow-up analysis near a singular point (see Section 5.4), and the study of all possible blow-up limits, usually called tangent maps. They turn out to be [math]-homogeneous and minimizing -harmonic maps over the whole space (i.e., minimizing in every ball). Our next theorem provides the classification of all [math]-homogeneous minimizing -harmonic maps from into .
Theorem 1.4**.**
The map given by is a minimizing -harmonic map in . Moreover, it is the unique non constant [math]-homogeneous minimizing -harmonic map up to an orthogonal transformation. In other words, if is a non constant [math]-homogeneous minimizing -harmonic map in , then there exists such that for every .
As a corollary of Theorem 1.4, we obtain that that a minimizing -harmonic map from a two dimensional domain into must have a degree at each singularity. The topological degree at a singular point is here defined as the degree of the restriction to any small circle surrounding the point.
Theorem 1.5**.**
Let be a smooth bounded open set. If is a minimizing -harmonic map in and , then .
The results and proofs presented in this note represent fractional -counterparts of classical results on minimizing harmonic maps into spheres. First, to prove Theorem 1.3, we show that a [math]-homogeneous minimizing -harmonic maps from into must be constant if . This can be seen as the analogue of R. Schoen & K. Uhlenbeck result [39, Proposition 1.2] about the constancy of [math]-homogeneous minimizing harmonic maps from into . Their result relies on the fact that a harmonic -sphere into must be equatorial, a consequence of a theorem of F.J. Almgren [1] and E. Calabi [8]. Constancy then follows through a second variation argument, destabilizing non constant maps in the orthogonal direction to the image. In our context, any -harmonic circle (see Section 4.1) turns out to be the boundary of a minimal disc with free boundary in . Recently, A.M. Fraser & R. Schoen [23] proved that such a minimal disc must be a flat disc through the origin, extending a famous result of J.C.C. Nitsche [34] for to arbitrary spheres. As a consequence, any -harmonic circle is equatorial (see Corollary 4.6), and we use this fact to destabilize non constant [math]-homogeneous -harmonic maps from into using again variations in the orthogonal direction to their image (see Proposition 4.7). Let us mention that, surprisingly, the same strategy applies to prove smoothness of minimizing “fractional -harmonic maps” from the line into a sphere for , see [31].
Concerning Theorem 1.4 and Theorem 1.5, we have obtained the -analogue of a classical result of H. Brezis, J.M. Coron, and E.H. Lieb [6] (see also [2]). In the spirit of [6], the minimality of is obtained by means of sharp energy lower bounds, which in turn rely on the distributional Jacobian for -maps into , see [5, 29, 36]. To prove the uniqueness part, we use the fact that all [math]-homogeneous -harmonic maps in can be written in terms of finite Blaschke products, which are rational functions of the complex variable. This fact has been established in [30] (see also [3, 9]). Using this representation, we prove rigidity among degree maps by domain deformations. Then we exclude maps with higher degree by suitable constructions of competitors in the spirit of [6, Proof of Theorem 7.4]. Compared to [6], the construction turns out to be more involved as it requires additional steps and the numerical evaluation of certain integrals. Finally, Theorem 1.5 is obtained through the aforementioned blow-up analysis near a singularity. More precisely, we prove that homothetic expansions of a minimizing -harmonic map near a singular point converge up to subsequences to a non trivial [math]-homogeneous minimizing -harmonic map, so that the conclusion follows from Theorem 1.4. Compared to [6] again, we do not know if a minimizing -harmonic map satisfies near a singular point for some , or equivalently if uniqueness of the blow-up limits holds. For classical minimizing harmonic maps (into analytic manifolds), uniqueness of blow-ups (i.e., of tangent maps) at isolated singularities has been proved in [40, 41]. It rests on the so-called Łojasiewicz-Simon inequality, which is not known in our context.
In most of the proofs, we follow the approach of [30] using of the harmonic extension to the upper half space given by the convolution with the Poisson Kernel. This allows us to realize the -Laplacian as the associated Dirichlet-to-Neumann map (see Section 2), and then rephrase the -harmonic map equation as a harmonic map system with (partially) free boundary condition, see Section 3. In particular, we make use of the existing regularity and compactness results of R. Hardt & F.H. Lin [25], F. Duzaar & K. Steffen [17, 18], and F. Duzaar & J.F. Grotowski [15, 16], see Section 3.1.
Notation
Throughout the paper, is the open upper half space , and can be identified with . More generally, a set can be identified with . Points in are written with and . We shall denote by the open ball in of radius centered at , while is the open ball (or disc) in centered at (and thus D_{r}(x)\times\{0\}=B_{r}\big{(}(x,0)\big{)}\cap(\mathbb{R}^{n}\times\{0\})). If the center is at the origin, we simply write and the corresponding balls. In case , we write .
For an arbitrary set , we define
[TABLE]
If is a bounded open set, we shall say that is admissible whenever
- (i)
is Lipschitz regular;
- (ii)
the (relative) open set defined by
[TABLE]
is non empty and has a Lipschitz boundary in ;
- (iii)
.
According to this definition, an half ball is admissible, and .
The tangent space to a manifold at a point is denoted by (while the tangent bundle of is simply denoted by ).
We often identify with the complex plane , and if , the complex variable is written . Functions taking values into are also understood as complex valued functions. The product of two such functions are thus understood in the sense of complex multiplication.
Finally, we always denote by a generic positive constant which may only depend on the dimension , and possibly changing from line to line. If a constant depends on additional given parameters, we shall write those parameters using the subscript notation.
2. Harmonic extension & the -Laplacian
2.1. Harmonic extension
For a measurable function , we denote by its extension to the upper half-space given by the convolution of with the Poisson kernel, i.e.,
[TABLE]
This extension is well defined whenever belongs to the Lebesgue over with respect to the finite measure for some . In this case, it is well known that provides an harmonic extension of to . In other words, solves
[TABLE]
Moreover, whenever , and
[TABLE]
We shall make use of the following lemma about the harmonic extension. Using the Fourier transform111Recall that the Fourier transform of the Poisson kernel is given by ., its proof is elementary and it is left to the reader.
Lemma 2.1**.**
If , then
[TABLE]
and
[TABLE]
for a constant depending only on .
We complete this subsection recalling the classical identity relating the -seminorm over with the Dirichlet energy of the harmonic extension:
[TABLE]
for every in the homogeneous Sobolev space .
2.2. The -Laplacian and the Dirichlet-to-Neumann map
Given a smooth bounded open set , the -Laplacian (-\Delta)^{\frac{1}{2}}:\widehat{H}^{1/2}(\Omega;\mathbb{R}^{m})\to\big{(}\widehat{H}^{1/2}(\Omega;\mathbb{R}^{m})\big{)}^{\prime} is defined as the continuous linear operator induced by the quadratic form . For , the action of on an element is denoted by \big{\langle}(-\Delta)^{\frac{1}{2}}u,\varphi\big{\rangle}_{\Omega}, and it is given by
[TABLE]
Note that, when restricted to , the distribution actually belongs to .
It is well known that the fractional Laplacian coincides with the Dirichlet-to-Neumann operator associated with the harmonic extension to . To be more specific, if , then is well defined, and for every admissible bounded open set satisfying . Hence, admits a distributional exterior normal derivative on . By harmonicity of , its action on can be defined as
[TABLE]
where is any smooth extension of compactly supported in . By approximation, the same identity holds for any compactly supported in . In this way, the distribution appears to belong to , and the following identity holds (see [30, Lemma 2.9])
[TABLE]
All details can be found in [30, Section 2].
3. -harmonic maps vs harmonic maps with free boundary
3.1. Minimizing harmonic maps with free boundary
For an admissible bounded open set , we consider the Dirichlet energy defined on by
[TABLE]
We also consider a given smooth submanifold that we assume to be compact and without boundary.
Definition 3.1**.**
Let be an admissible bounded open set, and consider a map satisfying -a.e. on . We say that is a minimizing harmonic map in with respect to the partially free boundary condition if
[TABLE]
for every competitor satisfying for -a.e. , and such that . In short, we may say that is a minimizing harmonic map with free boundary in .
Using variations supported in the open set , one obtains that a minimizing harmonic map with free boundary is harmonic in , i.e.,
[TABLE]
In particular, by standard elliptic theory. Hence the regularity issue is at the (partially) free boundary . As in [17, 25], one obtains from minimality the boundary condition
[TABLE]
which has to be understood in the weak sense, that is
[TABLE]
for every satisfying for -a.e. and such that .
Assuming that , one may apply the (partial) regularity results of [17, 25] to derive the following theorem (see [30, Section 4] or [33]). In its statement, denotes the so-called singular set of (in ), i.e.,
[TABLE]
which turns to be a relatively closed subset of .
Theorem 3.2**.**
Let satisfying be a minimizing harmonic map with free boundary in . Then v\in C^{\infty}\big{(}(G\cup\partial^{0}G)\setminus{\rm sing}(v)\big{)}, is locally finite in for , and for .
By means of Federer’s dimension reduction principle, the size of the singular set can be further reduced according to the existence or non existence of non trivial tangent maps. Those maps are defined as all possible blow-up limits of minimizing harmonic maps with free boundary at a point of the free boundary , see [25, Section 3.5]. In our setting, they appear to be [math]-homogeneous maps satisfying which are minimizing harmonic maps with free boundary in for every . Applying [25, Theorem 3.6] (see also [18, Remark 4.3]), we readily obtain the following result.
Theorem 3.3**.**
Let be the largest integer such that any bounded and [math]-homogeneous minimizing harmonic map with free boundary with is a constant for each . For any minimizing harmonic map with free boundary as in Theorem 3.2, we have if , is locally finite in if , and if .
Remark 3.4**.**
Note that, in applying [25], we use the fact that any bounded and [math]-homogeneous minimizing harmonic map with free boundary satisfies the uniform bound
[TABLE]
where is (essentially) the width of (assuming that ). This estimate follows from the fact is precisely given by the harmonic extension to of its restriction to . In other words, if we set , then (the convolution product of with the -dimensional Poisson kernel). Indeed, the difference is a bounded harmonic function in . Since it vanishes on , it has to vanish identically by the classical Liouville theorem.
We conclude this subsection with an important compactness result for minimizing harmonic maps with free boundary (on which Theorem 3.2 and Theorem 3.3 are based). It corresponds to a weaker version of a more general compactness theorem obtained in [15, Theorem 2.2] (see also [16, Theorem 2.2]).
Theorem 3.5** **(compactness).
Let be a bounded sequence of minimizing harmonic maps in with respect to the partially free boundary condition . There exist a (not relabeled) subsequence and a minimizing harmonic map with free boundary in such that strongly in .
3.2. Harmonic extension of minimizing -harmonic maps
In this subsection, our aim is to prove that minimizing -harmonic maps and minimizing harmonic maps with free boundary can be made in one-to-one correspondance by means of the harmonic extension. It has been proven in [30, Proposition 4.9] that the harmonic extension of a minimizing -harmonic map returns a minimizing harmonic map with free boundary in the upper half space. We shall improve this result showing that a converse statement holds true. Here again, denotes a given smooth and compact submanifold without boundary.
Theorem 3.6** **(minimality transfer).
Let be a bounded smooth open set. A map is a minimizing -harmonic map in if and only if its harmonic extension is a minimizing harmonic map with free boundary in every admissible bounded open set such that .
Proof.
According to [30, Corollary 2.10 & Proposition 4.9], if is a minimizing -harmonic map in , then is a minimizing harmonic map with free boundary in every admissible bounded open set such that . It hence remains to prove the converse statement. We thus assume that is minimizing harmonic map with free boundary in every admissible bounded open set such that .
Step 1. We consider an arbitrary competitor , and we assume that is compactly supported in an open set with . The map being compactly supported in , it belongs to . In view of identity (2.2), its harmonic extension belongs to the homogeneous Sobolev space .
We claim that there exists a sequence such that each is supported in for some admissible bounded open set satisfying , , and
[TABLE]
Before proving this claim, we complete the proof of the theorem.
By assumption is a minimizing harmonic map with free boundary in . Since is an admissible competitor for the minimality of in , we infer that
[TABLE]
On the other hand, (2.4) and (2.5) yield
[TABLE]
since on . Letting in (3.3), we deduce from (3.2) and (3.4) that
[TABLE]
In view of (2.2) and (2.3), we have
[TABLE]
and since
[TABLE]
inequality (3.5) yields
[TABLE]
Thus is indeed a minimizing -harmonic map in .
Step 2. We now proceed to the construction of the sequence satisfying (3.2). For an integer , we denote by a smooth cut-off function satisfying for , and for , with for some constant independent of . We first define
[TABLE]
By Lemma 2.1, , so that . Moreover, on , and
[TABLE]
From Lemma 2.1 and Fubini’s theorem, we infer that
[TABLE]
Since , it follows by dominated convergence, (3.6), and Hölder’s inequality, that
[TABLE]
We can thus find an integer such that
[TABLE]
Next we define for an integer ,
[TABLE]
Then , and one classically shows (using ) that
[TABLE]
In view of (3.7), we can find an integer in such a way that
[TABLE]
and to ensure that on .
Let us now fix a small parameter such that , and consider a smooth cut-off function satisfying for , and for . For an integer , we consider a further cut-off function such that for , for , and for some constant independent of . Setting
[TABLE]
we define
[TABLE]
Setting to be the interior of the set
[TABLE]
then is an admissible bounded open set satisfying . The map belongs to , it is supported in , and on the boundary . Then, we have
[TABLE]
Writing A_{\ell}:=\big{\{}{\rm dist}(x,\Omega^{\prime})>\delta\,,2^{-\ell}<x_{n+1}<2^{-\ell+1}\;\big{\}}, we estimate
[TABLE]
Since on \big{\{}{\rm dist}(x,\Omega^{\prime})>\delta\big{\}}\times\{0\}, we infer from Hardy’s inequality that
[TABLE]
As a consequence,
[TABLE]
by dominated convergence. In turn, (3.10) implies
[TABLE]
Back to (3.9), we deduce (still by dominated convergence and Hölder’s inequality) that
[TABLE]
In view of (3.8), we may now select a subsequence such that
[TABLE]
and the conclusion follows for and . ∎
As a consequence of Theorem 3.6, we can derive a partial regularity theory for minimizing -harmonic from the regularity of minimizing harmonic maps with free boundary (see [30, 33]). Notice that, in applying Theorem 3.2 and Theorem 3.3, we use that by (2.1) and the fact that is taking values in the compact manifold . Recall that denotes the singular set of in (see (1.4)), which is a relatively closed subset of .
Corollary 3.7** ([33] and [30, Theorem 1.2 & Remark 4.24]).**
Let be a bounded smooth open set. If is a minimizing -harmonic map in , then , is locally finite in for , and for .
Exactly as in Theorem 3.3, the estimate on the Hausdorff dimension of can be improved according to the existence or non existence of [math]-homogeneous minimizing -harmonic maps, i.e., maps in which are minimizing in every ball.
Definition 3.8**.**
A map is said to be a [math]-homogenous -harmonic map if is [math]-homogeneous and a weakly -harmonic map in every ball of . Similarly, is said to be a [math]-homogenous minimizing -harmonic map if it is [math]-homogeneous and a minimizing -harmonic map in every ball of .
Corollary 3.9**.**
Let be the largest integer such that any [math]-homogeneous minimizing -harmonic map from into is a constant for each . For any minimizing -harmonic map as in Corollary 3.7, we have if , is locally finite in if , and if . Moreover, where is given by Theorem 3.3.
Proof.
By Theorem 3.6, if is a [math]-homogeneous minimizing -harmonic map from into , then is a bounded minimizing harmonic map with free boundary in every half ball . Since the harmonic extension preserves homogeneity, is also [math]-homogeneous. Hence is constant whenever with given by Theorem 3.3, and so is . This shows that . The other way around, if with is a bounded and [math]-homogeneous minimizing harmonic map with free boundary, then according to Remark 3.4. By Theorem 3.6, it follows that is a [math]-homogeneous minimizing -harmonic map from into . By definition of , is constant whenever . Hence is constant for , which shows that . We have thus proved that .
Now, if is as in Corollary 3.7, then Theorem 3.6 tells us that is a bounded minimizing harmonic map with free boundary in every admissible bounded open set such that . Hence the conclusion follows from Theorem 3.2 knowing that . ∎
4. Minimizing -harmonic maps into a sphere
4.1. -harmonic circles
The purpose of this first subsection is to recall the notion -harmonic circle into a manifold , and its relation established in [30] with [math]-homogeneous -harmonic maps from into . Once again, is assumed to be a smooth and compact submanifold of without boundary. Let us start with the definition of a -harmonic circle into . First, the -Dirichlet energy of a map is defined as
[TABLE]
The choice of the constant in (4.1) is made in such a way that
[TABLE]
where denotes the (unique) harmonic extension of to the unit disc of the plane , i.e., the unique solution of
[TABLE]
see e.g. [30, Section 4.2].
Definition 4.1**.**
A map is said to be a (weakly) -harmonic circle into if
[TABLE]
Remark 4.2**.**
Any -harmonic circle is smooth, i.e., . This follows directly from the regularity theory for weakly -harmonic maps in one space dimension of [13, 14] (see also [30, Theorem 4.18 & Remark 4.24]). Indeed, as in [30, Remark 4.29], is weakly -harmonic if and only if is a weakly -harmonic map on , where is the (conformal) Cayley transform (see (5.36)) and its restriction to . Hence the regularity result of [13, 14] applies, and it yields . On the other hand, the map is clearly -harmonic (by invariance of the energy under the symmetry ), so that . Thus is in fact also smooth near , and the conclusion follows.
We are interested in -harmonic circles since they appear as angular profiles of [math]-homogeneous -harmonic maps on . More precisely, we have the following proposition proved in [30, Proposition 4.30]. (Note that this proposition is stated for , but the proof actually applies to any target manifold .)
Proposition 4.3** ([30]).**
A map is a [math]-homogeneous -harmonic map if and only if u_{0}(x)=g\big{(}\frac{x}{|x|}\big{)} for some -harmonic circle .
Remark 4.4**.**
Note that, by Proposition 4.3 and Remark 4.2, a [math]-homogeneous minimizing -harmonic map on is smooth away from the origin.
4.2. -harmonic circles into spheres
The goal of this subsection is to establish a crucial classification result for -harmonic circles into spheres, a cornerstone in the proofs of both Theorem 1.3 and Theorem 1.4. From now on, we restrict ourselves to the case with .
If is a -harmonic circle into (and thus smooth), then defines a smooth map from the closed unit disc into the closed unit ball of . By the maximum principle maps the open disc into the unit open ball , and of course by the boundary condition. In terms of , the Euler-Lagrange equation for being -harmonic writes (see e.g. [30, Remark 4.29])
[TABLE]
It has been (independently) proved in [3, 9, 10, 12], and [30, Lemma 4.27 & Remark 4.29] that being -harmonic implies that is (weakly) conformal or anti-conformal, i.e., it satisfies
[TABLE]
In addition, does not vanish near whenever is not constant (by the Hopf boundary lemma applied to , see e.g. [10, Proof of Theorem 2.7])222One can also prove that does not vanish on as follows. Using (4.2) and (constrained) outer variations of at , we can argue as in [30, Remark 4.3] to derive the equation
\frac{\partial w_{g}}{\partial\nu}(x)=\left(\frac{\gamma_{1}}{2}\int_{\mathbb{S}^{1}}\frac{|g(x)-g(y)|^{2}}{|x-y|^{2}}{\rm d}y\right)\,g(x)\quad\text{for x\in\mathbb{S}^{1}}\,.
Then, assuming by contradiction that vanishes at some point , this equation implies that is equal to the constant (since ).. As a consequence, if is not constant, then is a (branched) minimal immersion of the unit disc up to the boundary (with branched points only in the interior), and the boundary condition (4.4) tells us that meets orthogonally. For , a celebrated result of J.C.C. Nitsche [34] says that has to be the intersection of with a plane through the origin. This result has been extended recently to arbitrary dimensions in [23, Theorem 2.1]. In conclusion, if is a non constant -harmonic circle, then is an equatorial circle of . By invariance of the energy under rotations on the image, we can assume that such -harmonic map takes values into , so that it takes the form where is a non constant -harmonic circle. On the other hand, the classification of all -harmonic circles into has been obtained in [3, 9, 10, 30]: they are given by finite Blaschke products (see also [32] for a preliminary result where Blaschke products were first identified). The result can be stated as follows.
Theorem 4.5**.**
A map is a non constant -harmonic circle if and only if there exist an integer , , and such that or its complex conjugate equals
[TABLE]
In particular, .
Gathering the above results, we may now state the following corollary.
Corollary 4.6**.**
Assume that . If is a non constant -harmonic circle, then is an equatorial circle of , and with .
4.3. Proof of Theorem 1.3
We are now ready to prove Theorem 1.3. According to Corollary 3.9, it is enough to prove Proposition 4.7 below.
Proposition 4.7**.**
Assume that . If is a [math]-homogeneous minimizing -harmonic map, then is constant.
Proof.
Assume by contradiction that is not constant. From Proposition 4.3, we know that
[TABLE]
for some non constant -harmonic circle . According to Corollary 4.6, is an equatorial circle of , and
[TABLE]
Rotating coordinates in the image if necessary, we may assume without loss of generality that .
Let us now fix an arbitrary radial function , and define , where denotes the canonical basis of . Then , and consider a radius such that . For , we define
[TABLE]
Note that , and since for every , we actually have . By construction we have , so that
[TABLE]
for every by minimality of . Equality obviously holds at , and thus
[TABLE]
Straightforward computations yield
[TABLE]
and
[TABLE]
Since and is compactly supported in , we obtain
[TABLE]
Recalling the weak formulation of (1.3) (or [30, Remark 4.3]), we have
[TABLE]
Using the above equation in (4.6) and the fact that , we deduce from (4.5) that
[TABLE]
Computing the right hand side of this inequality in polar coordinates leads to (recall that is assumed to be radial, i.e., )
[TABLE]
By formula [24, GW (213)(5b) p. 326], one has
[TABLE]
Therefore,
[TABLE]
and we conclude from (4.7) that
[TABLE]
In view of the arbitrariness of , we conclude that (4.8) holds for every radial function . On the other hand, Hardy’s inequality in (see e.g. [21, 27]) says that
[TABLE]
with optimal constant
[TABLE]
Moreover, the constant is still sharp when restricting (4.9) to radial functions (by symmetric decreasing rearrangement, see e.g. [23]). In view of (4.8), we finally deduce that
[TABLE]
that is , a contradiction. ∎
5. Minimizing -harmonic maps into the circle
The aim of this section is now to prove Theorem 1.4 and Theorem 1.5. We thus assume that . In the first subsection, we recall the construction and properties of the distributional Jacobian in -spaces (see [5, 36] or [29]). In the spirit of [6], the distributional Jacobian appears to be the main tool to derive energy lower bounds, and in particular to prove the minimality of , see Section 5.2. The uniqueness part of Theorem 1.4 is proved in Subsection 5.3. It relies on Theorem 4.5 and subtle constructions of competitors, again in the spirit of [6]. Compared to [6], the argument is more intricate as it requires a preliminary construction (see Lemma 5.8) and the numerical evaluation of certain integrals. The last subsection is devoted to the proof of Theorem 1.5. The proof here is more classical and it is essentially based on Theorem 1.4.
5.1. The distributional Jacobian
For a map , we define a distribution in the following way. Consider such that on , and set
[TABLE]
where denotes the wedge product on (i.e., for ).
For a scalar function and an arbitrary extension of to the closed half ball , we define the action of on by setting
[TABLE]
Noticing that
[TABLE]
it is routine to check that is well defined, i.e., it does not depend on the extensions and , see e.g. [5, Lemma 3]. In addition, the mapping is continuous, see [5, Lemma 9].
Lemma 5.1**.**
The mapping is strongly continuous. More precisely, there exists a constant such that
[TABLE]
for every and , where
[TABLE]
and
[TABLE]
We shall make use of the following explicit representation of for maps belonging to the following class of partially regular maps
[TABLE]
For a map and a singular point of , we shall denote by the topological degree of restricted to any small circle around (oriented in the counterclockwise sense). We have the following representation of for in the class .
Proposition 5.2**.**
Let be such that g\in C^{\infty}\big{(}(\overline{\mathbb{D}}\times\{0\})\setminus\{a_{1},\ldots,a_{K}\}\big{)} for some distinct points . If , then
[TABLE]
where denotes the tangential gradient333For and such that is a direct orthonormal basis of , we have , and does not depend on the choice of and . of on .
Proof.
By the smoothness assumption on , we may find an extension of which is smooth in . We first claim that
[TABLE]
where and on , and denotes the tangential derivation on (oriented in the counterclockwise sense). Smoothing near the , we can find a sequence of smooth maps over such that in a neighborhood of , strongly in , and strongly in with . In particular, given an extension of , we have
[TABLE]
Since , by the divergence theorem we have
[TABLE]
Noticing that , a further integration by parts yields
[TABLE]
Gathering (5.3)-(5.4)-(5.5) and letting now leads to (5.2) by dominated convergence.
To prove (5.1), it is now enough to show that
[TABLE]
To this purpose we consider a sequence of Lipschitz functions over such that is constant in a neighborhood of each , uniformly on , and weakly* in . In this way,
[TABLE]
Given , we consider small enough in such a way that for , for each , and in . Then,
[TABLE]
In the last identity, we have used the fact that in the region , since is -valued and smooth in that region. Letting in (5.7) finally leads to (5.6). ∎
5.2. Proof of Theorem 1.4, part 1.
By Theorem 3.6, to prove the minimality of , it is enough to prove that its harmonic extension is minimizing, and this is the way we proceed. First, we need to compute explicitly its harmonic extension. To this purpose, it is useful to consider the inverse stereographic projection given by
[TABLE]
and its inverse (which is the stereographic projection from the south pole):
[TABLE]
Let us recall that is a conformal transformation.
Lemma 5.3**.**
The harmonic extension of the map is given by
[TABLE]
Proof.
Since is [math]-homogeneous, its harmonic extension is also [math]-homogeneous. Being harmonic in , it satisfies
[TABLE]
where denotes the Laplace-Beltrami operator on . Next we define by setting
[TABLE]
where is the inverse stereographic projection from the closed unit disc into defined in (5.8). Since is conformal, and for , we infer from (5.10) that
[TABLE]
By uniqueness of the harmonic extension, we deduce that for every , and consequently
[TABLE]
The conclusion follows by [math]-homogeneity of . ∎
In what follows, we keep the notation . In the following lemma, we provide an approximation result to reduce the class of of competitors (to test the minimality of ) to the ones belonging to the class .
Lemma 5.4**.**
Let be such that in a neighborhood of . There exists a sequence such that in a neighborhood of , is smooth away from finitely many points, and strongly in .
Proof.
Identifying with the complex plane , we recall that both and are Banach algebras. If denotes the complex conjugate of , the map belongs to , and it is identically equal to one in a neighborhood of . Extending by the value one outside , we can apply the method in [29, Proof of Theorem 2.16] to produce a sequence such that is smooth outside a finite subset of , and strongly in . Using that equals one near , a quick inspection of the construction (which is based on a convolution argument with a sequence of mollifiers) shows that is also equal to one near (at least for large enough). Therefore, setting , we have , is equal to near , is smooth away from a finite set, and strongly in . ∎
We shall need the following theorem which is a slight generalization of [6, Theorem 7.5]. Since the proof follows closely [6] with only minor modifications, we shall omit it.
Theorem 5.5** ([6]).**
Let be a compact metric space, and a nonnegative Radon measure on satisfying . Given a closed subset , distinct points , and satisfying , define for ,
[TABLE]
with . Then,
[TABLE]
Proof of Theorem 1.4: minimality of .
By Theorem 3.6, to prove that is a [math]-homogeneous minimizing -harmonic map, it is enough to show that is a minimizing harmonic map with free boundary in every bounded admissible open set . In turn, it reduces to prove that is a minimizing harmonic map with free boundary in for every radius . By [math]-homogeneity of , it is enough to show that is a minimizing harmonic map with free boundary in .
First, we compute using Lemma 5.3,
[TABLE]
In view of (5.11), it is thus enough to show that
[TABLE]
for every map such that in a neighborhood of and on .
Let us consider such a map . From the pointwise inequality , we first infer that
[TABLE]
Then, consider an arbitrary function satisfying for every . By the McShane-Whitney extension theorem, we can find a -Lipschitz function such that . Since a.e. in , we deduce from (5.13) that
[TABLE]
where is equal to in a neighborhood of .
By Lemma 5.4, we can find a sequence such that in a neighborhood of , is smooth away from finitely many points in , and strongly in . Setting
[TABLE]
we have , in a neighborhood of , and strongly in .
Let us now fix the index . Since , we can find distinct points in such that is smooth away from the ’s. In addition, if , then
[TABLE]
Applying Proposition 5.3 to together with Lemma 5.3 yields
[TABLE]
In turn, applying Theorem 5.5 with endowed with the Euclidean metric, , , and , yields
[TABLE]
Next, observe that the minimum value above is achieved at . Indeed, the function
[TABLE]
is clearly convex, and
[TABLE]
Going back to (5.15), we have thus proved that
[TABLE]
Now we deduce from Lemma 5.1 that
[TABLE]
for a constant independent of . Gathering (5.14), (5.17), and (5.16), we obtain
[TABLE]
Letting leads to (5.12), which completes the proof. ∎
5.3. Proof of Theorem 1.4, part 2.
The goal of this subsection is to prove that is the unique [math]-homogeneous -harmonic map from into , up to an orthogonal transformation. This is achieved in two steps. The first one consists in proving that is the unique [math]-homogeneous -harmonic map of degree (at the origin), up to an orthogonal transformation (see Proposition 5.7). In the second step, we prove that a [math]-homogeneous -harmonic map with a degree (at the origin) different from is not minimizing (see Proposition 5.9).
Lemma 5.6**.**
If is a nontrivial [math]-homogenous -harmonic map from into , then
[TABLE]
where is the stereographic projection (5.9), and is a finite Blaschke product or the complex conjugate of a finite Blaschke product. In other words,
[TABLE]
for some , , and . As a consequence,
[TABLE]
Proof.
By Proposition 4.3, for every , for some non constant -harmonic circle . By Theorem 4.5, the harmonic extension of to the unit disc (i.e., the solution of (4.3)) is of the form (5.18). Hence, we only have to prove that . The argument is exactly as in the proof of Lemma 5.3. By [math]-homogeneity, solves
[TABLE]
As a consequence, is harmonic in , and it equals on . In other words, , and (5.18) follows.
Next, by [math]-homogeneity of , conformal invariance, (4.2), and Theorem 4.5,
[TABLE]
which completes the proof. ∎
Proposition 5.7**.**
Let be a -harmonic circle such that . Assume that is a [math]-homogeneous minimizing -harmonic map from into . Then is an orthogonal transformation, i.e., for some .
Proof.
Step 1. By Theorem 3.6, is a minimizing harmonic map with free boundary in . Therefore, is stationary in in the sense of [30, Definition 4.10], see [30, Remark 4.13]. In turn, by [30, Remark 4.11] it implies that
[TABLE]
for every compactly supported in and such that on .
We now consider a unit vector and an even function compactly supported in . Using the vector field in (5.20), we obtain
[TABLE]
On the other hand, since is [math]-homogeneous, is also [math]-homogeneous. Hence , and by Fubini’s theorem, (5.21) yields
[TABLE]
since is homogeneous of degree . By arbitrariness of and , we conclude that
[TABLE]
(recall that ).
Step 2. Since minimality is preserved under complex conjugation (i.e., is also a [math]-homogeneous minimizing -harmonic map), we may assume that (otherwise we consider instead of ). Then we infer from Lemma 5.6 that
[TABLE]
for some and (where is the stereographic projection (5.9)).
By conformal invariance, we have
[TABLE]
In addition, since is holomorphic in , we have
[TABLE]
Hence, combining (5.22), (5.23), and (5.24) yields
[TABLE]
which in turn implies that . In other words, , i.e., is a rotation. ∎
Lemma 5.8**.**
Let be a [math]-homogeneous minimizing -harmonic map from into . If with the stereographic projection (5.9), and
[TABLE]
with , and , then
[TABLE]
Proof.
The case is a direct consequence of Proposition 5.7, so it remains to consider the case . Set . We may assume without loss of generality that . Since minimality is preserved under rotations on the image (i.e., is a [math]-homogeneous minimizing -harmonic map for every ), we can also assume that , so that . Then we write
[TABLE]
We aim to prove that
[TABLE]
which immediately leads to the conclusion since
[TABLE]
for each and every .
To prove (5.25), we shall construct suitable competitors to test the minimality of in (recall that is a minimizing harmonic map with free boundary in by Theorem 3.6). Given a parameter , we consider a smooth function such that in a neighborhood of , for , and for . Next we consider the smooth map on given by
[TABLE]
By construction, is a Blaschke product with factors for , and factors for (more precisely, for ). Setting , we then have for , and for . From (4.2) and Theorem 4.5, we infer that
[TABLE]
In addition, since , we have the pointwise estimate
[TABLE]
We define a map by setting
[TABLE]
Note that on , and that in a neighborhood of . Hence is an admissible competitor to test the minimality of in , i.e.,
[TABLE]
where we have used (5.19) in the last equality.
Computing the energy of in polar coordinates, we obtain
[TABLE]
By conformal invariance, we have
[TABLE]
Combining (5.26), (5.29), and (5.30) yields
[TABLE]
Then, recalling that
[TABLE]
we obtain
[TABLE]
In turn, this last identity together with (5.27) and Lemma A.1 yields
[TABLE]
with
[TABLE]
Notice that is an increasing function, and that .
Gathering (5.28), (5.31), and (5.33) leads to
[TABLE]
Next we set , so that satisfies , for , and in a neighborhood of . Changing variables in (5.34), we infer that
[TABLE]
In view of our arbitrary choice of and , we conclude that
[TABLE]
for every -function satisfying and . Setting
[TABLE]
inequality (5.34) must hold for \boldsymbol{\gamma}(t):=G^{-1}\big{(}G(1)t+G(\boldsymbol{\delta})(1-t)\big{)}, which returns the inequality 1\leqslant 2\big{(}G(1)-G(\boldsymbol{\delta})\big{)}^{2}. Therefore,
[TABLE]
Since , we finally reach the conclusion that . ∎
Proposition 5.9**.**
Let be a -harmonic circle. If , then the map is not a [math]-homogeneous minimizing -harmonic map from into .
Proof.
We argue by contradiction assuming that is a [math]-homogeneous minimizing -harmonic map in . Once again, it implies that is a minimizing harmonic map with free boundary in by Theorem 3.6. By Lemma 5.6, is of the form (5.18), and without loss of generality we can assume that the map in (5.18) is equal to the right hand side of (5.18) (otherwise we consider the complex conjugate of instead of , which is also minimizing).
We shall build competitors to test the minimality of , and to this purpose we consider the extended complex plane . We also identify with the complex upper half plane \mathbb{C}_{+}:=\big{\{}z\in\mathbb{C}:\mathfrak{Im}(z)>0\big{\}}. We consider the Cayley transform given by
[TABLE]
and its inverse
[TABLE]
Note that maps the real line into . In the sequel, we use the (standard) convention
[TABLE]
We define a map by setting
[TABLE]
As a complex valued function, is a rational function of with poles (exactly) at the finite set . In particular, is smooth in . In addition, , and f\big{(}\mathbb{S}^{1}\setminus Z^{+}_{w}\big{)}=\mathbb{R}\times\{0\}.
Given a parameter , we consider a smooth function such that in a neighborhood of , for , and for . Next we define the smooth map on given by
[TABLE]
where is the stereographic projection (5.9). With the convention , we observe that extends smoothly up to except for finitely many points in . More precisely, setting , the set is finite, and is smooth in . By construction, in , on , and in a neighborhood of . As our computations will show, so that is an admissible competitor to test the minimality of in , i.e.,
[TABLE]
where we have used (5.19) in the last equality.
To compute the energy of , it is useful to rewrite as
[TABLE]
where is the smooth map defined on by
[TABLE]
Notice that for each , is a Blaschke product with factors. Indeed, for each , is clearly holomorphic on , it is smooth up to , and on . By a classical result of Fatou [20], it implies that is a finite Blaschke product. Since the restriction of to is an -valued function of degree , it must be a product of precisely factors. Therefore, we can infer from (4.2) and Theorem 4.5 that
[TABLE]
On the other hand, a straightforward computation yields for ,
[TABLE]
where denotes the imaginary part of .
Computing the energy of in polar coordinates, we obtain
[TABLE]
Using the conformal invariance of and (5.40), we derive
[TABLE]
Next, (5.41) together with (5.32) leads to
[TABLE]
for every .
Combining (5.39), (5.42), (5.43), and (5.44), we deduce that
[TABLE]
Next we set , so that satisfies , for , and in a neighborhood of . Changing variables in (5.45) gives
[TABLE]
with
[TABLE]
In view of (5.38), we can rewrite as
[TABLE]
where is given by
[TABLE]
and denotes the imaginary part of .
Since minimality is preserved under rotations on the image, is a minimizing [math]-homogeneous -harmonic map for each . As a consequence, (5.46) must hold with replaced by for every . Averaging the resulting inequalities over all yields
[TABLE]
with
[TABLE]
Then observe that only depends on , i.e., . Hence Lemma A.2 tells us that
[TABLE]
where the function , given by formula (A.5), is an increasing function. Using that , we infer from Lemma 5.8 that
[TABLE]
and as a consequence,
[TABLE]
Inserting this last inequality in (5.47) leads to
[TABLE]
In view of the arbitrariness of and , we conclude that
[TABLE]
for every -function satisfying and .
Setting
[TABLE]
inequality (5.48) must hold for \boldsymbol{\alpha}(t)=G^{-1}\big{(}G(1)(1-t)\big{)}, which returns the inequality . In other words,
[TABLE]
Now we change variable in this integral setting . Using formula (A.5), we obtain
[TABLE]
with
[TABLE]
From (5.49) and (5.50), we conclude that . However, a direct (numerical) computation provides the estimate , which contradicts , and the proof is complete. ∎
5.4. Proof of Theorem 1.5
We complete this section with the proof of Theorem 1.5, and to this puropse we consider a minimizing -harmonic map in a smooth bounded open set . By Theorem 3.7, is smooth in away from a locally finite subset of . Assume that is a singular point of , and assume without loss of generality that . Fix such that and . Then,
[TABLE]
By Theorem 3.6, is a minimizing harmonic map with free boundary in . Therefore, is stationary in in the sense of [30, Definition 4.10], see [30, Remark 4.13]. In turn, by [30, Remark 4.11] it implies that
[TABLE]
for every compactly supported in and such that on . Arguing as in [30, Proof of Lemma 5.2, Step 2], we infer from (5.52) that
[TABLE]
As a consequence, is non decreasing, and the limit
[TABLE]
exists. Since [math] is a singular point of (and thus of ), it follows that by e.g. [25, Theorem 3.4] (recall our discussion before Theorem 3.2).
We now consider a sequence with , and we set for ,
[TABLE]
Then, , , and is a minimizing harmonic map with free boundary in . Since
[TABLE]
we infer from (5.53) that is bounded with respect to for every . Recalling that (since is -valued), we can apply Theorem 3.5 to find a (not relabeled) subsequence such that strongly in for every , where is minimizing harmonic map with free boundary in for every . Setting , we have strongly in for every . Hence in for every by [30, Lemma 2.4], which shows that . In view of (5.54) and the strong convergence of , we have
[TABLE]
In turn, rescaling (5.53) yields
[TABLE]
for every . Therefore, is [math]-homogeneous, and thus is a [math]-homogeneous minimizing harmonic map with free boundary. Since , we deduce from (5.55) that is not constant. Then is a non trivial [math]-homogeneous minimizing -harmonic map on by Theorem 3.6. Then Theorem 1.4 tells us that for some orthogonal matrix . In particular,
[TABLE]
Now, by the strong -convergence of and Fubini’s theorem, (up to a further subsequence if necessary) we can find such that strongly in . By continuity of the trace operator, we have strongly in . The degree being continuous with respect to the strong -convergence (see [7]), we deduce from (5.56) that for large enough, that is . In view of (5.51), we have thus proved that , which completes the proof.
Appendix A
We provide in this appendix some details about the computations performed in Section 5.3.
Lemma A.1**.**
For every ,
[TABLE]
with
[TABLE]
Proof.
Write with
[TABLE]
and
[TABLE]
Using polar coordinates, we further rewrite
[TABLE]
where
[TABLE]
are defined for .
Lengthy but elementary computations yield
[TABLE]
Then we first obtain
[TABLE]
Concerning , we can rewrite it as
[TABLE]
with
[TABLE]
Once again, elementary computations lead to
[TABLE]
and
[TABLE]
with
[TABLE]
Therefore,
[TABLE]
A direct computation shows that
[TABLE]
Gathering (A.1)-(A.2)-(A.3)-(A.4) now leads to as announced. ∎
Lemma A.2**.**
Let be the Cayley transform (defined in (5.36)). For and , let
[TABLE]
where denotes the imaginary part of . Define for ,
[TABLE]
Then,
[TABLE]
for every . In addition, is increasing for every .
Proof.
Recalling that
[TABLE]
we change variables to obtain
[TABLE]
Next we set
[TABLE]
to compute
[TABLE]
By Lemma A.4 below, we have
[TABLE]
In terms of the variables and , we obtain
[TABLE]
which is the announced formula. Next, if
[TABLE]
we have
[TABLE]
which shows that is indeed increasing for every . ∎
Remark A.3**.**
Note that the function defined in (A.5) can be rewritten as
[TABLE]
From this formula, one easily determines the behavior of as and .
Lemma A.4**.**
For , we have
[TABLE]
Proof.
Write , and observe that
[TABLE]
On the other hand,
[TABLE]
and (A.6) follows. ∎
Acknowledgements. V.M. is supported by the Agence Nationale de la Recherche through the project ANR-14-CE25-0009-01 (MAToS).
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