We established a Schwarz lemma for harmonic maps from Riemannian manifolds to metric spaces of curvature bounded above in the sense of Alexandrov. We adopted the gradient estimate technique which was based on Zhang-Zhu's maximum principle. In particular, when the domain manifold was a hyperbolic surface, the energy of any conformal harmonic maps into CAT(−1) spaces were bounded from above uniformly.
Citation: Jie Wang. A Schwarz lemma of harmonic maps into metric spaces[J]. Electronic Research Archive, 2024, 32(11): 5966-5974. doi: 10.3934/era.2024276
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We established a Schwarz lemma for harmonic maps from Riemannian manifolds to metric spaces of curvature bounded above in the sense of Alexandrov. We adopted the gradient estimate technique which was based on Zhang-Zhu's maximum principle. In particular, when the domain manifold was a hyperbolic surface, the energy of any conformal harmonic maps into CAT(−1) spaces were bounded from above uniformly.
The classical Schwarz-Pick lemma states that any holomorphic map from unit disk in C2 into itself decreases the Poincaré-Bergman metric. Ahlfors [1], Chern et al.[2], and Lu [3] extended this result to more general domains and targets with curvature conditions.
In 1978, Yau [4] used the so-called Omori-Yau maximum principle to prove the distance decreasing property for holomorphic maps from K¨ahler manifolds to Hermitian manifolds under suitable curvature conditions. Later, in the Riemannian settings, the Schwarz type lemma was studied extensively; see, e.g., [5,6]. There are also many generalizations for generalized harmonic maps; readers can refer to [7,8,9,10,11] and references therein.
There is also growing interest on harmonic maps with singular targets. Gromov and Schoen [12] first developed a theory of harmonic maps in which the target spaces can be taken as metric spaces of curvature bounded from above. This theory has further generalized in Korevaar and Schoen [13], and also Jost [14,15,16]. These investigations have deeply revealed the structure of harmonic maps with singular targets. Thus, it is natural to consider establishing a Schwarz type lemma for harmonic maps in this broader context.
In this note, the target spaces (N,d) we considered are CAT(−k) (k>0) spaces, which is a class of metric spaces with curvature bounded above by −k and the curvature condition is given by Toponogov's triangle comparison.
A map u:M⟶N is called harmonic if u is a local minimizer of the energy functional in the sense of Korevaar and Schoen. For a detailed definition and its properties, we refer to Section 2 below.
Our main result states the following.
Theorem 1.1. Let u:M⟶N be a harmonic map from an m-dimensional complete Riemannian manifold with RicM≥−A into a CAT(−k) space N, where A≥0 and k>0 are both constants. Suppose u has generalized dilatation of order β, then
π≤Am2β42k(1+β2)g, |
where π is the pull-back inner product (cf. Section 2).
Remark 1.2. The notion of harmonic maps with bounded dilatation was originated from Shen [6], where he proved a related Schwarz type lemma. Our result can be viewed as a generalization in the singular targets setting.
Corollary 1.3. If RicM≥0, then any harmonic map of generalized dilatation from M into a CAT(−k) (k>0) space is constant.
Corollary 1.4. If M is a hyperbolic surface and N is a CAT(−1) space, then the energy of conformal harmonic map u:M⟶N satisfies
|∇u|2≤2. |
Remark 1.5. Freidin [17] proved Corollary 1.4 under the additional assumption that Σ is closed. Our result improves his.
Owing to the lack of smoothness, one cannot employ the usual argument of the maximum principle directly in this setting. Instead, we will make use of an approximating version of the maximum principle established by Zhang and Zhu [18]. The similar idea has been successfully applied by Zhang et al. [19] to obtain gradient estimates of harmonic maps in the setting of singular targets.
The rest is organized as follows: In Section 2, we recall some basic and known results on CAT(κ) spaces and harmonic maps. In Section 3, we prove the main results.
Give a metric space (N,d). We assume our metric spaces to be length spaces, i.e., for each P,Q∈N, there is a curve, which we denote [P,Q], such that the length of [P,Q] is exactly d(P,Q). We call [P,Q] a geodesic between P and Q. We say N is a CAT(0) space (see [20]) if any geodesic triangles in N are thinner than their comparison triangles in R2. In other words, for every P,Q,R∈N, and corresponding points ˉP,ˉQ,ˉR∈R2 with
d(P,Q)=|ˉPˉQ|,d(R,Q)=|ˉRˉQ|,d(P,R)=|ˉPˉR|, |
we have
d(P,Qt)≤|ˉPˉQt|, |
where Qt and ˉQt lie a fraction t of the way along the geodesic segment from P to Q and ˉP to ˉQ, respectively.
A CAT(−1) space N, or N having curvature bounded from above by -1 in the sense of Alexandrov, is simply a length space with a stronger comparison principle. Instead of constructing comparison triangles in R2, one constructs them in H2, and the CAT(−1) space has the same comparison inequality.
In this subsection, we define harmonic maps from an m-dimensional complete Riemannian manifold (M,g) to a general metric space (N,d). Let Ω⊂M be a relatively compact domain. We denote by L2(Ω,N) the space of all Borel maps u:Ω⟶N, (i.e., measurable with respect to dVg) such that for some and, thus, every p∈N, we have
∫Ωd2(u(x),p)dVg(x)<∞. |
The (Korevaar-Schoen) energy of u∈L2(Ω,N) is defined as follows. For ε>0, we set
eε(x):=m⋅−∫S(x,ε)d2(u(x),u(x′))ε2dΣ(x′) |
whenever x∈Ω satisfies d(x,∂Ω)>ε and eε(x)=0 otherwise. Here, S(x,ε) is the sphere centered at x with radius ε. A map u is said to be in W1,2(Ω,N) if its energy, defined by
E(u):=supη∈C0(Ω)0≤η≤1(lim supε→0∫Ωη(x)eε(x)dVg(x)), | (2.1) |
is finite. If u∈W1,2(Ω,N), then there exists a function e(u)∈L1(Ω), called the energy density function of u, such that eεdVg⇀e(u)dVg as ε→0 and E(u)=∫Ωe(u)dVg; see [13]. We often write |∇u|2(x) in place of e(u)(x). In the case that N is a Riemannian manifold and u is smooth, the energy defined in (2.1) coincides with the usual energy.
Definition 2.1. A map u∈W1,2(Ω,N) is said to be energy minimizing harmonic if E(u)≤E(v) for all v∈W1,2(Ω,N). A map u:M→N is called energy minimizing harmonic if its restriction to every relatively compact domain is energy minimizing harmonic.
Let ¯x(x,t) be the flow generated by a unit vector field ω on M, that is,
¯x(x,0)=x,ddt¯x(x,t)=ω. |
The directional energy density |u∗(ω)|2 is defined by
|u∗(ω)|2(x):=limε→0d2(u(¯x(x,ε)),u(x))ε2,a.e.x∈M, |
and the energy density satisfies
|∇u|2(x)=∫Sn−1|u∗(ω)|2dσ(ω), |
where Sn−1⊂TxM.
The CAT(−k) hypothesis implies that we can make sense of the notion of the pull-back inner product.
Definition 2.2 ([13]). The pull-back inner product π:Γ(TM)×Γ(TM)⟶L1(M) is defined by
π(Z,W):=14|u∗(Z+W)|2−14|u∗(Z−W)|2. |
Proposition 2.3 (Theorem 2.3.2 in [13]). For the operator π defined above, we have
(1) π is continuous, symmetric, bilinear, nonnegative and tensorial.
(2) If we write πij=π(ei,ej) for a local frame {ei} on M, then for Z=Ziei and W=Wjej, we have π(Z,W)=πijZiWj.
(3) The energy density is the trace of π with respect to g, i.e., |∇u|2=gijπij=trg(π).
Let (Mm,g) be a complete Riemannian manifold with RicM≥−A, where A≥0 is a constant, and suppose that u:M⟶N is a harmonic map into a CAT(−k) (k>0) space N. Under a local frame {ei} on M, the pull-back tensor π can be expressed as a matrix
π=(πij). |
From Proposition 2.3, it is clear that the eigenvalus of π are nonnegative, say,
λ1(x)≥λ2(x)≥⋯≥λm(x)≥0. |
Hence, we can introduce the notion of generalized dilatation in this context.
Definition 3.1. Let (M,g) be a Riemannian manifold and N be a CAT(0) space. A map u∈W1,2(M,N) is said to have generalized dilatation of order β, if there is a positive number β such that λ1(x)≤β2(λ2(x)+⋯+λm(x)) for a.e. x∈M.
Let us recall the proof of Schwarz type lemma in the smooth context. We refer to [7] and [8]. There are two main ingredients: the Bochner formula and a maximum principle. When the target space is of CAT(−1) type, we have the following Bochner inequality.
Lemma 3.2 (Theorem 1 in [17]). For a harmonic map u:M⟶N from a Riemannian manifold M into a CAT(−k) (k>0) metric space, |∇u|2 satisfies
12Δ|∇u|2≥⟨RicM,π⟩+k(|∇u|4−|π|2) | (3.1) |
in the sense of distributions. Here, ⟨RicM,π⟩ denotes the inner product on symmetric 2-tensors and |π|2=⟨π,π⟩.
We remark that the energy density |∇u|2 is not smooth generally. Moreover, it even may not be continuous. That presents a problem to carry the gradient estimates argument in [7] or Omori-Yau maximum principle in [8] directly due to the lack of smoothness. This can be overcome by making use of the following Zhang-Zhu's maximum principle.
Theorem 3.3 (Theorem 1.3 in [18]). Let Ω be a bounded domain in a Riemannian manifold (Mm,g) with RicM≥−A for some constant A≥0. Let f∈W1,2loc(Ω)∩L∞loc(Ω) satisfy Δf as a signed Radon measure with Δsingf≥0, where Δf=Δacf⋅dVg+Δsingf is the Radon-Nikodym decomposition with respect to dVg. Assume f attains its strict maximum in Ω in the following sense: there is a neighborhood U⊂⊂Ω such that
supUf>supΩ∖Uf. |
Then, for any function w∈W1,2(Ω)∩L∞(Ω), there is a sequence {xj}j∈N⊂U satisfying that they are approximate continuity points of Δacf and ⟨∇f,∇w⟩, with the following properties:
f(xj)≥supΩf−1j,Δacf(xj)+⟨∇f,∇w⟩(xj)≤1j. |
In the following, supUf means ess-supUf.
We prove the main result.
Theorem 3.4. Let u:M⟶N be a harmonic map from a complete Riemannian manifold with RicM≥−A into a CAT(−k) space N, where A≥0 and k>0 are both constants. Suppose u has generalized dilatation of order β, then
π≤Am2β42k(1+β2)g, |
where π is the pull-back inner product.
Proof. For simplicity, we assume k=1. By the curvature condition and the Bochner inequality (3.1), we have
12Δ|∇u|2≥⟨Ric,π⟩+|∇u|4−|π|2≥−A|∇u|2+|∇u|4−|π|2. | (3.2) |
Note that u is of bounded dilatation, thus
|∇u|4−|π|2=[trg(π)]2−|π|2=(m∑i=1λi)2−(m∑i=1λ2i)=2∑1≤i<j≤mλiλj≥2λ1m∑j=2λj≥2β2λ21≥2β2(λ1+…+λmm)2. | (3.3) |
On the other hand,
|∇u|2=trg(π)=m∑i=1λi. | (3.4) |
Combining (3.2), (3.3), and (3.4), we conclude that |∇u|2 satisfies
Δ|∇u|2≥−2A|∇u|2+4β2m2|∇u|4, | (3.5) |
in the weak sense. For simplicity, let F:=|∇u|2.
Fix a constant δ>0 to be sufficiently small and let η(x):=η(r(x)) be a function of the distance r(x,x0), where x0 is a fixed point in M, such that
δ≤η≤1onBR(x0),η={1,onBR2(x0),δ,onBR(x0)∖B3R4(x0), |
and
−C1Rη12≤η′≤0,|η″|≤C1R2,∀r∈(0,3R4), |
where C1 is a constant independent of m,K,R. We remark that the function η can be chosen in the following ways: one first takes a function ϕ such that 0≤ϕ≤1, ϕ=1 on (0,R2), ϕ=0 on (3R4,R), −CR≤ϕ′≤0, and |ϕ′′|≤CR2, and then sets η:=(ε+ϕε+1)2, where εε+1=√δ. One can verify that η satisfies all of the requirements by direct calculations.
Thus,
|∇η|=|η′||∇r|≤C1Rη12,onB3R4(x0). | (3.6) |
By the Laplacian comparison theorem, we also have that
Δη≥−C1R(√(m−1)Acoth(r√Am−1))−C1R2≥−C1R(√(m−1)A+m−1R)−C1R2≥−C2R2,onB3R4(x0) | (3.7) |
in the sense of distributions. Here, C2:=C1(R√(m−1)A+m).
Next, we set G:=F⋅η. It is obvious that G is in W1,2(B3R4(x0))∩L∞(B3R4(x0)) and G achieves one of its strict maxima in BR2(x0) in the sense of Theorem 3.3. Then,
ΔG=2⟨∇η,∇(Gη)⟩+η⋅ΔF+Δη⋅F≥Δη⋅Gη+2⟨∇logη,∇G⟩−2|∇η|2η⋅Gη+η⋅ΔF≥−Gη⋅C2R2+2⟨∇logη,∇G⟩−Gη⋅2C21R2+η(−2AF+4β2m2F2). |
Let w:=−2logη, then w∈W1,2(B3R4(x0))∩L∞(B3R4(x0)). The above inequality reads as
ΔwG=ΔG+⟨∇w,∇G⟩≥−Gη⋅C2R2−Gη⋅2C21R2+η⋅(4β2m2(Gη)2−2A(Gη))≥−Gη⋅C2R2−Gη⋅2C21R2+4β2m2G2η−2AGη≥Gη[−C2R2−2C21R2+4β2m2G−2A]=Gη[−C3R2+4β2m2G−2A], |
where we have used G≥0, 1≤1η, and C3:=C2+2C21. That is, we have
ΔG+⟨∇w,∇G⟩≥Gη[−C3R2+4β2m2G−2A] | (3.8) |
in the weak sense. By Theorem 3.3, we can conclude that there exists a sequence of points {xj} such that for each j∈N,
Gj:=G(xj)≥sup3R4G−1j |
and
Gjη(xj)[−C3R2+4β2m2Gj−2A]≤1j. |
Since η(xj)≥δ>0, we can take j→∞ to obtain
sup3R4G=limj→∞Gj≤Aβ2m22+C3β2m24R2, |
which implies
supR2|∇u|2≤sup3R4G≤Aβ2m22+C3β2m24R2. |
Letting R→∞, it follows that
|∇u|2≤Aβ2m22. | (3.9) |
As |∇u|2=trg(π)=∑mi=1λi, we have
λ1+1β2λ1≤m∑i=1λi≤Aβ2m22. |
This yields λ1≤Aβ4m22(1+β2), and we have finished the proof.
Proof of Corollary 1.4. Note that a mapping u:M⟶N is called conformal if π satisfies π=λg for some nonnegative function λ. Then, the corollary follows from Theorem 1.1 immediately.
The author declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
This work is partially supported by National Natural Science Foundation of China (NNSFC) Key Program Grant No. 12331002 and NNSFC Grant No. 11971358.
The author declare there is no conflict of interest.
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