This paper investigates the exterior problem for the maximal surface equation, establishing the asymptotic behavior at infinity and proving unique solvability under certain boundary and asymptotic conditions.
Contribution
It provides a detailed analysis of the exterior maximal surface problem, including asymptotics and uniqueness results, which were not previously fully understood.
Findings
01
Precise asymptotic behavior of solutions at infinity.
02
Unique solvability of the exterior Dirichlet problem.
03
Conditions for admissible boundary data and prescribed asymptotics.
Abstract
In this paper, we study the exterior problem for the maximal surface equation. We obtain the precise asymptotic behavior of the exterior solution at infinity. And we prove that the exterior Dirichlet problem is uniquely solvable given admissible boundary data and prescribed asymptotic behavior at infinity.
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations · Geometric Analysis and Curvature Flows
Full text
maximal hypersurfaces over exterior domains
Guanghao Hong
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an,
P.R.China 710049.
In this paper, we study the exterior problem for the maximal surface equation.
We obtain the precise asymptotic behavior of the exterior solution at
infinity. And we prove that the exterior Dirichlet problem is uniquely
solvable given admissible boundary data and prescribed asymptotic behavior at infinity.
1. Introduction
The maximal surface equation is
[TABLE]
or equivalently in the non-divergence form
[TABLE]
This equation arises as the Euler equation of the variational problem that
maximize the area functional ∫1−∣Du∣2 among the spacelike
hypersurfaces in the Lorentz-Minkowski space Ln+1 (see the
definitions in section 2). The graph of a solution to (1.1) is called a
maximal hypersurface and the graph of a solution to the variational problem is
called an area maximizing hypersurface.
Calabi [Ca68] (n≤4) and Cheng-Yau [CY76] (all dimensions) proved that
every entire maximal hypersurface in Ln+1 or every global
solution u to the maximal surface equation (1.1) with ∣Du(x)∣<1 on Rn must be linear.
The Dirichlet problem for bounded domain was studied by Bartnik-Simon [BS82]
and the isolated singularity problem was studied by Ecker [Ec86]. The exterior
problem is a “complimentary” one for
elliptic equations; see for example [Be51][Si87] for minimal hypersurfaces,
[CL03] for Monge-Ampere equation, [LLY17] for special Lagrangian equation and
[HZ18] for infinity harmonic functions, besides the classic works such as
[GS56] for linear ones. We study the exterior problem for the maximal surface
equation in this paper. We obtain the precise asymptotic behavior of the
exterior solution at infinity. And we prove that the exterior Dirichlet
problem is uniquely solvable.
Throughout the paper, we assume A⊂Rn be a bounded closed
set. We say u is an exterior solution in Rn\A if
u∈C2(Rn\A) with ∣Du(x)∣<1 solve the equation
(1.1) in Rn\A. Given an exterior solution u,
for any bounded C1 domain U⊃A, the integral Res[u]:=∫∂U1−∣Du∣2∂u/∂ndσ is
independent of the choices of U because of the divergence structure of the
equation. The number Res[u] can be regarded as the residue of the exterior
solution u.
Theorem 1.1**.**
Let u be a smooth exterior solution in Rn\A with
A\being bounded. Then there exist a vector a∈B˚1 and a
constant c∈R such that for n=2
[TABLE]
and for n≥3
[TABLE]
as ∣x∣→∞ for all k=0,1,2,⋯. The notation
φ(x)=Ok(∣x∣m) means that ∣Dkφ(x)∣=O(∣x∣m−k).
On the other hand, for any bounded closed set A, given an admissible
boundary value function g:∂A→R and prescribed
asymptotic behavior at infinity, the exterior Dirichlet problem for maximal
surface equation is uniquely solvable. We say g is admissible if g is
bounded and there exists a spacelike function ψ in Rn\A such that ψ=g on ∂A in the sense of (1.1) in
[BS82] (see Remark 2.1 in Section 2).
Theorem 1.2**.**
Let A⊂Rn be a bounded closed set and g:∂A→R be an admissible boundary value function. Then
(1)
n=2, given any a∈B1 and d∈R, there exist a unique
smooth solution u of maximal surface equation on R2\A such that u=g on ∂A and
[TABLE]
2. (2)
n≥3, given any a∈B1 and c∈R, there exist a
unique smooth solution u of maximal surface equation on Rn\A such that u=g on ∂A and
[TABLE]
Of course u enjoys finer asymptotic properties and the relation
d=(1−∣a∣2)Res[u] holds by Theorem 1.1.
The article is organized as follows. In Section 2, we set up some notations
and definitions, and we collect some results from [CY76], [BS82], and [Ec86]
that are needed in the proofs of the later sections. In Section 3, we prove
that a spacelike function over an exterior domain can be spacelikely extended
to the whole Rn. This is the starting point of our work.
Interestingly there is a striking similarity between our argument and the
argument in [CL03, p.571-572] where Caffarelli and Li prove the locally convex
solution of detD2u=1 over an exterior domain can be extended (after
finitely enlarging the complimentary domain A) to a global convex function.
In Section 4, we prove a growth control theorem for the exterior solution u
at infinity. This is the key content of this paper. Inspired by Ecker’s proof
in [Ec86], and relying on his results there, our argument involves
compactness, blowdown analysis and comparison principle. In Section 5, we
prove gradient estimate for u based on the growth control theorem and
Cheng-Yau’s estimate on the second fundamental form. In Section 6, we prove
Theorem 1.1. Since the equation (1.1) becomes uniformly elliptic by the
gradient estimate of the previous section, the standard tools such as Harnack
inequality and Schauder estimate apply. The known radially symmetric solutions
play a key role in the proof. In Section 7, we prove Theorem 1.2. We solve the
equation in a series of bigger and bigger ring-shaped domains and use the
compactness method to get an exterior solution. We use the Lorentz
transformations of radially symmetric solutions as barrier functions to locate
the position of the exterior solution. The uniqueness of solutions follows
from comparison principle.
2. Notations and preliminary results
We denote the Lorentz-Minkowski space by Ln+1={X=(x,t):x∈Rn,t∈R}, with the flat metric ∑i=1ndxi2−dt2. And ⟨⋅,⋅⟩ denotes the inner product
in Ln+1 with the signature (+,⋯,+,−).
The light cone at X0=(x0,t0)∈Ln+1 is defined by
[TABLE]
The upper and lower light cones will be denoted by CX0+ and
CX0− respectively.
The Lorentz-balls are defined by
[TABLE]
Let M be an n-dimensional hypersurface in Ln+1 which can be
represented as the graph of u∈C0,1(Ω), where Ω is a open
set in Rn. We say that M (or u) is
weakly spacelike if ∣Du∣≤1 a.e. in Ω,
spacelike if ∣u(x)−u(y)∣<∣x−y∣ whenever x,y∈Ω, x=y
and the line segment xy⊂Ω, and
strictly spacelike if u∈C1(Ω) and ∣Du∣<1 in Ω.
If M (or u) is strictly spacelike and u∈C2(Ω), the Lorentz
metric on Ln+1 induces a Riemannian metric g on M. Under the
coordinates (x1,⋯,xn)∈Ω, gij=⟨∂xi∂X,∂xj∂X⟩=δij−uiuj, where X=(x,u(x)) is the position vector on the graph of u,
and uk=uxk=∂xk∂u for k=1,⋯,n. So
g=I−Du(Du)′, detg=1−∣Du∣2, g−1=I+1−∣Du∣2Du(Du)′ and gij=δij+1−∣Du∣2uiuj. The second fundamental form is IIij=detguij and so ∣II∣2=detggijgkluikujl
(see (2.3) in [BS82]) where uij=∂xi∂xj∂2u and the summation convention on repeated indices is
used. Note that ∣D2u∣≤∣II∣.
The following fundamental results were achieved by Bartnik and Simon in [BS82].
Theorem 2.1** **(Solvability of variational problem on bounded domains [BS82, Proposition
1.1]).
Let Ω⊂Rn be a bounded domain and let
φ:∂Ω→R be a bounded function. Then the
variational problem
[TABLE]
where K={v∈C0,1(Ω):∣Dv∣≤1 a.e. in Ω, v=φ on
∂Ω} has a unique solution u if and only if the set K is nonempty.
Remark 2.1**.**
In above theorem, v=φ on ∂Ω means that, for every
x0∈∂Ω and every open straight line segment l contained in
Ω and with endpoint x0,
[TABLE]
Regarding this definition and the existence of weakly spacelike extension of
φ, we refer the readers to the discussion in [BS82, p.133, p.148–149].
A weakly spacelike function u∈C(Ω)
(Ω⊂Rn is not necessarily bounded) is called
area maximizing if it solves the variational problem (2.1)
with respect to its own boundary values for every bounded subdomain in
Ω. The graph of u is called an area maximizing hypersurface.
Lemma 2.1** (Closeness of variational solutions [BS82, Lemma 1.3]).**
If {uk} is a
sequence of area maximizing functions in Ω and uk→u in
Ω locally uniformly, then u is also an area maximizing function.
One key result in [BS82, Theorem 3.2] is that if an area maximizing
hypersurface contains a segment of light ray, then it contains the whole of
the ray extended all the way to the boundary or to infinity. This implies the
following conclusion.
Theorem 2.2** **(The relationship between the variational solutions and the solutions of
maximal surface equation).
The solution u of (2.1) is smooth and
solves equation (1.1) in
[TABLE]
where
[TABLE]
Furthermore
[TABLE]
where x,y∈∂Ω are such that xy⊂Ω and
∣φ(x)−φ(y)∣=∣x−y∣.
Remark 2.2** (Solvability of maximal surface equation on bounded domains).**
If the boundary
data φ admits a weakly spacelike extension and satisfies that
∣φ(x)−φ(y)∣<∣x−y∣ for all x,y∈∂Ω with
xy⊂Ω and x=y, then singu=∅ and hence
smooth u solves the equation (1.1) in Ω.
Bartnik proved the following
Theorem 2.3** (Bernstein theorem for variational solutions [Ec86, Theorem F]).**
Entire area
maximizing hypersurfaces in Ln+1 are weakly spacelike hyperplanes.
A weakly spacelike hypersurface M in
Ln+1 containing [math] is called an area maximizing hypersurface having an
isolated singularity at [math] if M\{0} is area maximizing but M
cannot be extended as an area maximizing hypersurface into [math].
For a weakly spacelike entire or exterior hypersurface M (i.e., u
is defined on Rn or an exterior domain Rn\A with A bounded), we define Mr=r−1M with r>0 is the graph of
ur(x)=r−1(rx). If for some rj→+∞, urj(x)
converge locally uniformly to a function u∞(x) on Rn
or Rn\{0}, then u∞ (its graph M∞)
is called a blowdown of u (M). Note that by weakly spacelikeness,
Arzela-Ascoli theorem always ensures the existence of blowdowns. By Lemma 2.1,
u∞(x) (M∞) is area maximizing on Rn or
Rn\{0} and u∞(0)=0.
Ecker proved that the isolated singularities of area maximizing hypersurface
are light cone like ([Ec86, Theorem 1.5]). The following lemma will also be
used in our proof of Theorem 1.1.
Lemma 2.2** ([Ec86, Lemma 1.10]).**
Let M be an entire area maximizing hypersurface having
an isolated sigularity at [math] and assume that some blowdown of M also has an
isolated singularity at [math]. Then M has to be either C0+ or
C0−.
We also need the following radial, catenoid like solutions to the maximal
surface equation of (1.1) in Rn\{0}, used as
barriers in [BS82] and [Ec86]. For λ∈R, set
[TABLE]
For n≥2, the integral ∫0+∞t2(n−1)+λ2λdt is bounded and we denote this value as
M(λ,n). More precisely, by computation
[TABLE]
for large r. It is obvious that M(λ,n)=sign(λ)∣λ∣n−11M(1,n)→±∞ as λ→±∞
and M(λ,n)→0 as λ→0. For n=2, the
integral ∫0+∞t2+λ2λdt is
infinite and by computation
[TABLE]
for large r, where m(λ)=∫01t2+λ2λdt+∫1+∞(t2+λ2λ−tλ)dt.
Definition 2.3** (Lorentz transformations, the speed of light is normalized to 1).**
For a
parameter κ∈(−1,1), the Lorentz transformation Lκ:Ln+1→Ln+1 is defined as
[TABLE]
where x′=(x1,⋯,xn−1).
The Lorentz transformations are isometries of Ln+1. Lκ
maps spacelike (weakly spacelike) surfaces to spacelike (weakly spacelike)
surfaces and it maps maximal surfaces (area maximizing surfaces) to maximal
surfaces (area maximizing surfaces). Geometrically Lκ can be seen as
a hyperbolic rotation. It maps the light cone {(x,t)∈Ln+1:t=∣x∣} to itself and it maps the horizontal hyperplanes to the hyperplanes
with slope κ:
[TABLE]
for T∈(−∞,+∞).
More generally, for any vector a∈B1 we define La:=TaL∣a∣Ta−1 where Ta is a rotation that keeps t-axis fixed and
transforms en to ∣a∣a in Rn (in case of a=0 we
just define T0:=id).
3. Extension of spacelike hypersurface with hole
We start our proofs for the two main theorems by extending any spacelike
function over an exterior domain to a global spacelike function, after
finitely enlarging the bounded complimentary domain.
Theorem 3.1**.**
Let u be a spacelike function in Rn\A with A being
bounded. Then there exists R∗>0 such that ∣u(x)−u(y)∣<∣x−y∣ for all x,y∈Rn\BR∗.
Proof.
Step 1. We first show that there exists a ball BR0(x0)⊃A such that on the boundary oscx∈∂BR0(x0)u(x)<2R0. Without loss of generality we assume A⊂B1.
We suppose osc∂B100u(x)≥200 with max∂B100u(x)=u(100e1) and we will show that osc∂B200(100e2)u(x)<400.
Suppose max∂B100u(x)=−min∂B100u(x) because
otherwise we can consider u−(max∂B100u+min∂B100u)/2 in place of u. Firstly one can see that osc∂B100u(x)≤202 from the Lipschitz condition on u and the geometry of Bˉ100\B1. So 100≤u(100e1)≤101 and min∂B100u(x)∈(−101,−100). Suppose u(x1)=min∂B100u(x) for some x1∈∂B100. Then ∣x1−(−100e1)∣≤3 because u(x)>u(100e1)−∣100e1−x∣>100−200=−100 for any
x∈∂B100\B3(−100e1). Thus u(−100e1)∈(−104,−97). Therefore u(100e2)>u(100e1)−∣100e1−100e2∣≥100−1002>−42 and u(100e2)<u(−100e1)+∣−100e1−100e2∣<−97+1002<45. In the same way, u(−100e2)∈(−42,45).
Denote u(100e2)=M. Then u(x)∈(M−90,M+90) for all x∈B3(−100e2). Let maxx∈∂B200(100e2)\B3(−100e2)∣u(x)−M∣:=Q<200. Therefore osc∂B200(100e2)u(x)≤2max(Q,90)<400. (See Figure 1.)
Step 2. We show that there exists R1>R0 such that for all
R≥R1 we have ∣u(x)−u(y)∣<∣x−y∣ for all x,y∈∂BR(x0) with x=y. By making a suitable transformation, we may assume
x0=0, R0=1 and max∂B1u=−min∂B1u=1−ϵ0 for some 0<ϵ0<1. Then for R>1, max∂BR∣u∣≤R−ϵ0. For x,y∈∂BR with
x=y, if the line segment xy⊂BˉR\B1 then ∣u(x)−u(y)∣<∣x−y∣. Otherwise, dist(0,xy)<1 and
∣x−y∣>2R2−1. If R≥2ϵ01+ϵ02
then ∣u(x)−u(y)∣≤2(R−ϵ0)≤2R2−1<∣x−y∣.
Step 3. Set R∗:=∣x0∣+R1. Suppose the line segment
xy∩∂BR1(x0)={p,q} and p is closer to x
than q. Then ∣u(x)−u(y)∣≤∣u(x)−u(p)∣+∣u(p)−u(q)∣+∣u(q)−u(y)∣<∣x−p∣+∣p−q∣+∣q−y∣=∣x−y∣. If p=q, the
conclusion is also true. If xy∩∂BR1(x0)=∅, we have ∣u(x)−u(y)∣<∣x−y∣ directly.
∎
For completeness, we include the promised full spacelike extension result
here, which is not needed in the proof of our two main theorems.
Theorem 3.2**.**
Let u be a spacelike function in Rn\A with A being
bounded. Then there exists R∗>0 such that ∣u(x)−u(y)∣<∣x−y∣ for all x,y∈Rn\BR∗. Moreover, there exists a spacelike
function u~ in Rn such that u~=u in
Rn\BR∗.
Proof.
We only need to prove the second part of the theorem. By Remark 2.2, there
exists a spacelike function w in BR∗ such that w=u on ∂BR∗. Define u~:=w in BR∗ and u~:=u in
Rn\BR∗. For x,y∈Rn with
x=y, if both x and y are in BˉR∗ or Rn\BR∗ then ∣u(x)−u(y)∣<∣x−y∣. Otherwise, let
{z}=xy∩∂BR∗, then ∣u(x)−u(y)∣≤∣u(x)−u(z)∣+∣u(z)−u(y)∣<∣x−z∣+∣z−y∣=∣x−y∣.
If we assume the spacelike function u is also strictly spacelike ∣Du(x)∣<1 (to exclude spacelike functions such as
arctanλ), we can get a spacelike extension inside BR∗
directly, without relying on the singularity analysis of variational solutions
to the maximal surface equations of [BS82] contained in Remark 2.2.
In fact (cf. [LY, p.61]), for x∈BˉR∗ set
[TABLE]
with m=∥Du∥L∞(∂BR∗)<1. Then w(x)=u(x) for
x∈∂BR∗. And for x,y∈BˉR∗
[TABLE]
Symmetrically w(x)≤w(y)+m∣x−y∣. Hence w is spacelike inside BR∗,∣u(x)−u(y)∣<m∣x−y∣<∣x−y∣.
There is another differential way to do this extension inside BR∗.
Without loss of generality, we assume R∗=1, then osc∣x∣=1u(x)<2. For x∈Bˉ1 set
[TABLE]
with m=21[max∣x∣=1u(x)+min∣x∣=1u(x)]. Then
w(x)=u(x) on ∂B1. And for x∈B1\{0},
[TABLE]
The Lipschitz norm of w at x=0 is also less than one because
[TABLE]
We also reach the same spacelike conclusion of w inside B1.
∎
4. Growth control of u at infinity
In this section, we show that the linear growth rate of an exterior solution
u at infinity is uniformly less than one, that is to say, u is controlled
not only by the light cone but by a cone with slop less than one. Meanwhile we
prove that the blowdown of u is unique and is a linear function with slope
less than one. We also proved that the graph of u is supported by a
hyperplane either from below or from above.
Theorem 4.1**.**
Let u be an exterior solution in Rn\A with
A\being bounded. Then there exist BR⊃A, 0<ϵ<1 and
c0∈R such that
[TABLE]
in Rn\BR. Moreover, there exists a vector a∈Bˉ1−ϵ such that
[TABLE]
The function u also enjoys the property that either for some c∈R, u(x)≥a⋅x+c in Rn\BR and
u(y)=a⋅y+c at some point y∈∂BR or for some
c∈R, u(x)≤a⋅x+c in Rn\BR
and u(y)=a⋅y+c at some point y∈∂BR.
Proof.
We apply Theorem 3.1. For simplicity of notation, we assume R∗=1. So
we have ∣u(x)−u(y)∣<∣x−y∣ for any x,y∈Rn\B1
with x=y. We also assume max∂B1u=−min∂B1u=1−ϵ1 for some 0<ϵ1<1. We will show that
−(1−ϵ)∣x∣≤u(x)≤(1−ϵ)∣x∣ in Rn\B1 for some 0<ϵ<1.
It is easy to see that −∣x∣+ϵ1≤u(x)≤∣x∣−ϵ1 in
Rn\B1. So there are four possibilities for u:
(a) There is 0<ϵ<1 such that u(x)≥−(1−ϵ)∣x∣ in
Rn\B1 and there is a sequence of points {xj}
with 1<∣xj∣:=Rj→+∞ such that u(xj)>(1−j1)∣xj∣;
(b) The function −u satisfies (a);
(c) There are two sequences of points {xj±} with
1<∣xj±∣:=Rj±→+∞ such that u(xj+)>(1−j1)∣xj+∣ and u(xj−)<−(1−j1)∣xj−∣;
(d) There is 0<ϵ<1 such that −(1−ϵ)∣x∣≤u(x)≤(1−ϵ)∣x∣ in Rn\B1.
We will show that the cases (a)(b)(c) can not happen.
Suppose that u satisfies (a). Let x^:=limk→∞Rjkxjk∈∂B1 for some subsequence {jk}. We assume x^=en and consider {jk} as {j}. Define
vj(x):=Rju(Rjx). A subsequence of vj(x) (still
denoted as vj(x)) converge locally uniformly to a function V(x) in
Rn\{0}. By Lemma 2.1, V(x) is area
maximizing in Rn\{0}. It is obvious that V(0)=0,
V(en)=1 and V(x)≥−(1−ϵ)∣x∣. Thus V(ten)=t for
t∈(0,+∞) by weakly spacelikeness and Theorem 2.1. If [math] is a
removable singularity for V, then V is a plane by Theorem 2.3 and V has
to be V(x)=xn that contradicts V(x)≥−(1−ϵ)∣x∣. So [math] is an
isolated singularity for V. Let V∞ be a blowdown of V, then
V∞(ten)=t for t∈(0,+∞) and V∞(x)≥−(1−ϵ)∣x∣. So [math] is an isolated singularity for V∞. By
Lemma 2.2, we have V(x)=∣x∣.
Let z∈∂B1 be such that u(z)=min∂B1u:=λ.
For small δ>0, consider w(x):=λ−1+δ+(1−δ)∣x∣. Since
limj→∞Rju(Rjx)=∣x∣ uniformly on ∂B1, for sufficiently large j, u(x)≥w(x) on ∂BRj.
But u(x)≥λ=w(x) on ∂B1 and w(x) is a subsolution to
(1.1) in BRj\Bˉ1, so u(x)≥w(x) in
BRj\Bˉ1. Let δ→0, we get
u(x)≥λ−1+∣x∣ in BRj\Bˉ1. Especially,
u(2z)≥λ−1+∣2z∣=λ+1 and hence u(2z)−u(z)≥1=∣2z−z∣. This
contradicts the fact that u is spacelike “in Rn\B1" proved in Theorem 3.1.
The case (b) can not happen for the same reason.
Now we suppose u satisfies (c). For each j, let wj be the solution of
(1.1) in Bj with wj=u on ∂Bj. The existence of
wj is due to Remark 2.2. For each j, either max∂B1(wj−u)≥0 or min∂B1(wj−u)≤0 (or both). Thus max∂B1(wj−u)≥0 or min∂B1(wj−u)≤0
happens for infinitely many j. We assume max∂B1(wj−u):=λj≥0 happens for infinitely many j. Let
zj∈∂B1 be such that wj(zj)−u(zj)=λj and
consider w~j=wj(zj)−λj for these j. So w~j≤u in Bj\B1 and w~j(zj)=u(zj).
Note that ∣w~j(0)∣≤∣w~j(zj)∣+1=∣uj(zj)∣+1≤2 for all these j. Therefore, by Arzela-Ascoli a subsequence
w~jk converge locally uniformly to a function W in
Rn. By Lemma 2.1, W is an area maximizing surface. So it is a
plane with slope less than or equal to one by Theorem 2.3. Furthermore, we
know W≤u in Rn\B1 and W(z)=u(z) by
continuity, where z is an accumulating point of {zjk}.
By assumption of (c), there are {xj−} with ∣xj−∣→+∞ such that W(xj−)≤u(xj−)<−(1−j1)∣xj−∣. Thus W has to be a plane with slope 1. We assume
DW(x)=en, so W(x)=xn+u(z)−zn. If zn<0, then denote
z~=(z′,−zn)∈∂B1 and we have u(z~)≥W(z~)=−2zn+u(z)=u(z)+∣z~−z∣. This contradicts the fact that
∣u(x)−u(y)∣<∣x−y∣ for any x,y∈∂B1 with x=y. If
zn≥0, then consider the point z+en∈Rn\Bˉ1 and we have u(z+en)≥W(z+en)=u(z)+1=u(z)+∣(z+en)−z∣. This contradicts the fact that u is spacelike “in
Rn\B1" proved in Theorem 3.1.
If it is the case that min∂B1(wj−u)≤0
happens for infinitely many j, we move up wj by −min∂B1(wj−u) and get a plane W^ above u by the same
process. This time by the assumption that there are {xj+} with
∣xj+∣→+∞ such that W^(xj+)≥u(xj+)>(1−j1)∣xj+∣, we also know the slope of W^ is one.
Furthermore, W^ also touches u at some point of ∂B1.
Again, this contradicts the fact that u is spacelike “in
Rn\B1" proved in Theorem 3.1.
Therefore only the case (d) can (and must) happens and we have proved the
first part of the theorem. In this case we can also construct the plane W in
the same way just as we did in the first paragraph when we proved the
impossibility of case (c). That is to say, we can place a plane (with slope
less than or equal to 1−ϵ) either below or above the graph of u in
Rn\B1 and the plane touches u at some point of
∂B1. This property implies that the blowdown of u must be
unique and equal to the blowdown of W. We show this as follows. Assume that
W(x)=c+a⋅x≤u in Rn\B1 where
∣a∣≤1−ϵ. Let V be any blowdown of u, then a⋅x≤V(x)≤(1−ϵ)∣x∣ in Rn, which implies that [math] is a
removable singularity of V by Ecker stated in Lemma 2.2. Then V is an
entire solution and must be a plane. The only possible situation is
V(x)=a⋅x.
∎
5. Gradient estimate
With the strong growth control achieved in the previous section and the known
curvature estimate, we can establish the gradient estimate and ascertain
Du(∞) in this section. We state the curvature estimate of Cheng-Yau
[CY76] in the following improved extrinsic form carried out by Schoen (see
[Ec86, Theorem 2.2]).
Theorem 5.1**.**
Let M=(x,u(x)) be a maximal hypersurface,
x0∈M and assume that for some ρ>0, L2ρ(x0)∩M⊂⊂M. Then we have for all x∈Lρ(x0)
[TABLE]
where c(n) is a constant depending only on the dimension n and lx0(x)=(∣x−x0∣2−∣u(x)−u(x0)∣2)21.
If M is an entire maximal hypersurface, then ρ in (5.1)
can be chosen to be arbitrarily large, so ∣II∣≡0 and hence the
Bernstein Theorem follows. But the following corollary is what we need.
Corollary 5.1**.**
For any 0<ϵ<1, there exists a positive constant C(ϵ,n) such
that if u solves the equation (1.1) in Rn\Bˉ1 and satisfies −(1−ϵ)∣x∣≤u(x)≤(1−ϵ)∣x∣ in
Rn\B1 then
Let u be an exterior solution in Rn\A. Then for any
open set U⊃A there is θ>0 such that ∣Du∣≤1−θ in
Rn\U. Moreover, limx→∞Du(x)=a
where a is given by Theorem 4.1.
Proof.
Assume A⊂B1 and −(1−ϵ)∣x∣≤u(x)≤(1−ϵ)∣x∣ in
Rn\B1. Denote R^:=ϵ10. Since
∣Du(x)∣<1 for x∈Rn\U, if ∣Du∣≤1−θ is not
true then there is a sequence of points {xj} such that ∣Du(xj)∣>1−j1 and ∣xj∣→+∞. Define Rj:=R^−1∣xj∣ (assume Rj>1) and vj(x):=Rju(Rjx). Then
by Theorem 4.1, we have vj(x)→V(x)=a⋅x.
On the other hand, by Corollary 5.1, the curvature ∣II∣ is uniformly bounded
for all vj(x) on the compact set BˉR^+1\BR^−1, so is ∣D2vj(x)∣. This means Dvj(x)→DV(x)=a in BˉR^+1\BR^−1. Denote
limk→∞∣xjk∣R^xjk=x^∈∂BR^ for some subsequence jk. Then DV(x^)=limk→∞Dvjk(∣xjk∣R^xjk).
But ∣Dvjk(∣xjk∣R^xjk)∣=∣Du(xj)∣>1−jk1 and it implies ∣DV(x^)∣=1. This is a contradiction.
The conclusion limx→∞Du(x)=a can be proved in the same
compactness way as above.
There is another Harnack way to show the existence of Du(∞), once ∣Du∣ is uniformly bounded away
from one, ∣Du∣≤1−θ. Indeed, each bounded
component uk of Du satisfies a uniformly elliptic equation
[TABLE]
with F(p)=1−∣p∣2. By Moser’s
Harnack, in fact [Mo61, Theorem 5], limx→∞uk(x) exists.
∎
Because we will use Moser’s results again in next section, we state them here
in the needed form for convenience.
in Rn\BR0, where Λ−1I≤(aij(x))≤ΛI for for a constant Λ∈[1,∞).
Then for any R≥10R0
[TABLE]
for Γ=Γ(n,Λ).
Theorem 5.4** (Behavior at ∞ [Mo61, Theorem 5]).**
Let w be a bounded solution to the
uniformly elliptic equation (5.2) in Rn\B1. Then lim∣x∣→∞w(x) exists.
6. Asymptotic behavior: proof of Theorem 1.1
Now we are ready to prove Theorem 1.1. We present the proof in the following
four subsections. We first treat the special case Du(∞)=a=0. The general case can be transformed to this special case by a suitable
hyperbolic rotation (Lorentz transformation).
6.1. Case a=0, n=2
Step 1. (∣u(x)∣≤c+dln∣x∣ for large
c and d.)
We still assume R=1 in Theorem 4.1. By Theorem 4.1 and Theorem 5.2, we known
that limr→∞ru(rx)=0 and limx→∞∣Du(x)∣=0. Moreover, we have either u(x)≥c for some
c∈R in Rn\B1 and u(y)=c at some
point y∈∂B1 or u(x)≤c for some c∈R in
Rn\B1 and u(y)=c at some point y∈∂B1. We assume the former case happens and c=0, y=e1. That is
u(x)≥0 in Rn\B1 and u(e1)=0. Recall the
radial barrier wλ in (2.2). Set ϕλ(x):=wλ(x)−wλ(e1) and ψλ(x):=ϕλ(x)+max∂B1u. As the first step of the proof, we want
to show that u(x)≤ψλ(x) in Rn\B1
for sufficiently large λ.
We observe that as long as λ is large enough, ϕλ(2e1)
can be arbitrarily close to 1. Since u(2e1)<1, we can choose λ0 such that ϕλ0(2e1)>u(2e1). Now we claim that
u(x)≤ψλ1(x) in Rn\B1, where
λ1:=(Γ+1)λ0 and the constant Γ is from Theorem
5.3 for u. It is easy to see that ψλ1(x)>Γϕλ(x) in Rn\BR for some R=R(λ0,Γ) large enough. If u(x)≤ψλ1(x)
in Rn\BR then u(x)≤ψλ1(x) in
Rn\B1 by comparison principle since u≤max∂B1u=ψλ1(x) on ∂B1. Suppose
u(z)>ψλ1(z) at some point z∈Rn\BR, then u>ϕλ0 on ∂B∣z∣ by Theorem 5.3.
Since u≥0=ϕλ0 on ∂B1, we have u≥ϕλ0 in B∣z∣\B1 by comparison principle,
especially u(2e1)≥ϕλ0(2e1). This is a contradiction.
So we proved that u(x)≤ψλ1(x) in Rn\B1.
Step 2. (u(x)=c+dln∣x∣+o(1) for some
c and d.)
Denote
[TABLE]
By continuity, u≤ψλ∗ in Rn\B1. If λ∗=0, then 0≤u≤max∂B1u in
Rn\B1. By Theorem 5.4, u has a limit at infinity.
Now we assume λ∗>0 and our aim is to show that also u≥ϕλ∗ in Rn\B1.
For all positive integers k>max{10,λ∗2}, there exist
yk such that ∣yk∣≥ek2, ∣yk+1∣>∣yk∣ and
u(yk)>ψλ∗−k1(yk). By
(2.4), there exists k^ such that for all k≥k^, we have ψλ∗(yk)−u(yk)<ψλ∗(yk)−ψλ∗−k1(yk)<k2ln∣yk∣. The
function w(x):=ψλ∗(x)−u(x) satisfies equation
(5.2) with
[TABLE]
where wt:=(1−t)u+tψλ∗. By Theorem 5.3, we have
ψλ∗(x)−u(x)<k2⋅Γln∣x∣ on ∂B∣yk∣ for all k≥k^. Fix any small δ>0. Note that
ψλ∗(x)−ϕλ∗−δ(x)>2δln∣x∣ outside some ball. So there exist k~ such that u(x)>ϕλ∗−δ(x) on ∂B∣yk∣ for all k≥k~. Thus u≥ϕλ∗−δ in Rn\B1 by comparison principle. By continuity, we have u≥ϕλ∗ in Rn\B1.
Now we have established that ϕλ∗≤u≤ψλ∗(x) in Rn\B1. That is 0≤ψλ∗(x)−u≤max∂B1u. So by Theorem 5.4,
ψλ∗(x)−u has a limit at infinity. Denote this
λ∗=d, then we have
[TABLE]
as ∣x∣→∞ for some constant c. Since we assumed u is
bounded below, the constant d≥0. If u is bounded above, then we have
u(x)=c+dln∣x∣+o(1) with d≤0.
Step 3. (Improve o(1) to O(∣x∣−1).)
We still assume u≥0 as above. Suppose d>0. Choose R0>10 such that
∣Du(x)∣<101 and u(x)<2dln∣x∣ when ∣x∣≥R0. For any point
x with ∣x∣:=2R≥2R0, define v(y):=Ru(Ry+x). Since u
satisfies the non-divergence form equation (1.2), v(y) satisfies the
equation aij(y)vij(y)=0 for y∈B1 with aij(y)=δij+1−∣Dv∣2vivj. By Morrey-Nirenberg’s C1,α
estimate for 2 dimensional uniformly elliptic non-divergence form equation
[GT98,Theorem 12.4], for some α>0 we have
[TABLE]
where C is a universal constant. In particular, it means that
[TABLE]
Let e be any unit vector, then ve satisfies the equation (aij(y)(ve)j)i=0 in B1, with aij=1−∣Dv∣2δij+(1−∣Dv∣2)3vivj. By
(6.2), ∥aij∥Cα(B21) is bounded
by a universal constant. By Schauder estimate [GT98, Theorem 8.32],
Then ∣f(x)∣≤∣x∣4C(ln∣x∣)3 by (6.3) and
(6.4). Define K[u](x):=u(∣x∣2x) for x∈B2R01\{0}. Then
[TABLE]
with ∣g(x)∣≤C(−ln∣x∣)3. Let N[g] be the Newtonian potential of g
in B2R01. Since g is in Lp(B2R01) for
any p>0, N[g] is in W2,p for any p and hence is in C1,α
for any 0<α<1. Now K[u]−N[g] is harmonic in B2R01\{0}. Notice that ∣K[u](x)∣≤−2dln∣x∣+C in B2R01\{0}, so ∣K[u]−N[g]∣≤−2dln∣x∣+C in B2R01\{0}. Therefore K[u]−N[g] is the sum of c1ln∣x∣ (for some constant c1) and a harmonic function in B2R01. So K[u](x) is the sum of c1ln∣x∣ and a C1,α
function in B2R01. Fix an α∈(0,1), for some affine
function c2+b⋅x, we have ∣K[u](x)−(c1ln∣x∣+c2+b⋅x)∣≤C∣x∣1+α in B2R01\{0}. Go back to u and
we have ∣u(x)−(−c1ln∣x∣+c2+b⋅∣x∣2x)∣≤C∣x∣−1−α for ∣x∣≥2R0. From the result of Step 2, we must have
−c1=d and c2=c. Thus
[TABLE]
Step 4. (Improve O(∣x∣−1) to
Ok(∣x∣−1).)
Since ψd(x)=c~+dln∣x∣+Ok(∣x∣−1) for some c~, we
consider w(x):=ψd(x)−u(x)−c~+c=O(∣x∣−1). The function w
satisfies the equation (aijwj)i=0 with aij given by
(6.1). In view of (6.5) and ∣Dkψd(x)∣≤∣x∣kC, we have ∣Dkwt(x)∣≤∣x∣kCln∣x∣ and hence ∣Dkaij(x)∣≤∣x∣k+2C(k)(ln∣x∣)k.
For any point x with ∣x∣:=4R≥4R0, define v(y):=Rw(Ry+x).
The v satisfies the equation (a~ijvj)i=0 with a~ij(y)=aij(x+Ry). We have ∥Dka~ij∥C0(B1)=Rk∥Dkaij∥C0(BR(x))≤C(k) and so
∥a~ij∥Ck(B1)≤C(k) for all k. Then by
Schauder estimate,
[TABLE]
and hence ∣Dkw(x)∣≤∣x∣k+1C(k) for ∣x∣≥4R0. This
means w(x)=Ok(∣x∣−1) and hence
[TABLE]
Step 5. (Ascertain the value of d.)
[TABLE]
Letting r→∞, we have d=Res[u].
6.2. Case a=0, n≥3
Step 1. (∣u(x)∣≤c for large c.)
We still assume u≥0 and define ϕλ and ψλ as
above. Using the same method, we can prove u(x)≤ψλ(x) for
some large λ in Rn\B1. But in the
dimensions n≥3, ψλ is bounded.
Step 2. (u(x)=u∞+O(∣x∣2−n).)
Since u is bounded, applying Theorem 5.4 directly to u, we have
u(x)=u∞+o(1) where u∞:=limx→∞u(x).
Define ϕλ(x):=wλ(x)−wλ(e1)+min∂B1u and ψλ(x):=wλ(x)−wλ1(e1)+max∂B1u for λ∈(−∞,+∞). We can choose
λ1 and λ2 such that
[TABLE]
By comparison principle,
[TABLE]
and this means that
[TABLE]
Step 3. (u(x)=u∞−d∣x∣2−n+O(∣x∣1−n) for some d.)
We adopt the same strategy as in the step 3 of above subsection: establish the
decay rate of ∣Du(x)∣ and ∣D2u(x)∣, make Kelvin transform to
u(x)−u∞ and estimate the Newtonian potential of right hand side. The
only difference is that: when we estimate the decay rate of ∣Du(x)∣ we can
not use Morrey’s C1,α estimate which is only true for 2 dimension,
alternatively the first order derivatives of u (so is v(y):=Ru(x+Ry)−u∞) satisfy a uniformly elliptic divergence form
equation and thus we can apply De Giorgi-Nash’s Theorem [GT98, Chapter 8] to
Dv.
[TABLE]
This treatment also fits two dimensional case certainly. We leave the
remaining details to the readers.
Step 4. (Improve O(∣x∣1−n) to
Ok(∣x∣1−n).)
Do the same thing to u(x)−u∞ as in the step 4 of above subsection.
Step 5. (Ascertain the value of d.)
[TABLE]
Letting r→∞, we have d=Res[u].
6.3. Case ∣a∣>0, n=2
By a rotation, we can assume a=(0,η) with η∈(0,1). Make the
Lorentz transformation L−η:L2+1→L2+1,
[TABLE]
Then the plane {t=ηx2} was transformed to the plane {t~=0} and the graph of u over R2\A was
transformed to another maximal hypersurface which is the graph of some
function (say u~) defined on R2\A~ for
some bounded closed set A~. The blowdown of u~ is the [math]
function. So u~ has the asymptotic expansion:
[TABLE]
Transform back and make some direct computations, we can establish the
asymptotic expansion of u. The details are as follows.
The Lorentz transformation
[TABLE]
Use the polar coordinates x1=rcosθ, x2=rsinθ and
substitute (6.6) to (6.7), we get
[TABLE]
We want to solve x~ from (6.8) and substitute it to
(6.6) and the third equality of (6.7), then we will get
the expansion of u. We need to solve x~ three times iteratively.
Let 1−η2c~:=c and 1−η2d~:=d. In
x coordinates, we have
[TABLE]
Getting rid of the assumption a=(0,η), it is not hard to see that
[TABLE]
By the method in Step 4 of Section 6.1, we can improve O(∣x∣−1) to
Ok(∣x∣−1). We omit the details.
The remaining task is to compute d in terms of Res[u] and ∣a∣. For
simplicity, we still assume a=(0,η). Consider the ellipse
[TABLE]
Use the polar coordinates, but this time we set x1=rcosθ,
1−η2x2=rsinθ. So Eρ={(r,θ):r=ρ,0≤θ<2π}. On Eρ:
[TABLE]
the unit outward normal vector
[TABLE]
and the length element
[TABLE]
So
[TABLE]
and hence
[TABLE]
Letting ρ→+∞, we have
[TABLE]
6.4. Case ∣a∣>0, n≥3
We do the same things as above. Assuming a=(0,η), make the Lorentz
transformation L−η: graph of u→ graph of u~,
then
[TABLE]
and
[TABLE]
Use the polar coordinates x′=rcosθξ, xn=rsinθ
with −2π≤θ≤2π and ξ∈Sn−2 the unit
sphere in Rn−1. Then we are going to solve x~n from
[TABLE]
Suppose sinθ=0. We have
[TABLE]
[TABLE]
[TABLE]
where O(r1−n) is independent of small sinθ. So
[TABLE]
and
[TABLE]
Therefore, denoting 1−η2c~:=c and 1−η2d~:=d,
[TABLE]
One can verify that the above expansion is also true in the case of
sinθ=0. Also O(∣x∣1−n) can be improved to Ok(∣x∣1−n). We
omit the details.
Now we compute d. Assume a=(0,η) and
[TABLE]
Use the coordinates: x′=rcosθξ, 1−η2xn=rsinθ. So
[TABLE]
On Eρ:
[TABLE]
and
[TABLE]
The unit outward normal vector
[TABLE]
The surface element
[TABLE]
So
[TABLE]
and hence
[TABLE]
We used the fact that
[TABLE]
Letting ρ→+∞, we have
[TABLE]
7. Exterior Dirichlet problem: proof of Theorem 1.2
Recall wλ is the radially solution defined by (2.2).
Let a∈B1, we use wλa(x) to denote the representation
function of the hypersurface La(graph of wλ), where the
Lorentz transformation La=TaL∣a∣Ta−1 is
defined in the end of Section 2. Then the function wλa(x) has
the following properties: wλa(0)=0, wλa(x) solves
equation (1) in Rn\{0} and (from the argument in the
previous section or by direct calculation) for n=2
[TABLE]
and for n≥3
[TABLE]
as x→∞. The numbers m(λ) and M(λ,n) are from
(2.4) and (2.3).
Now we prove Theorem 1.2. We do this in the following two subsections
corresponding to the cases n=2 and n≥3 respectively.
7.1. Case n=2
Let A, g, a and d be given as in Theorem 1.2 and
1−∣a∣2λ=d. Choose constants c−≤0≤c+ such that
wλa(x)+c−≤g(x)≤wλa(x)+c+ on ∂A. We claim that there exists R˘(A,g,a,d)>0 such that for any
R≥R˘ there exists a solution uR of maximal surface equation
in BR\A satisfying uR=g on ∂A and uR=wλa on ∂BR.
In fact, let ψ be an spacelike extension of g into R2\A. By Theorem 3.1, there exists R∗ such that
∣ψ(x)−ψ(y)∣<∣x−y∣ for any x,y∈∂BR∗ and x=y.
Assume ∣ψ∣≤G on ∂BR∗. Let R≥R˘>R∗, for any x∈∂BR∗ and y∈∂BR,
[TABLE]
provided R˘ is chosen to be sufficiently large. So we can find a
spacelike function vR on ∂BR\BR∗ such
that vR=ψ on ∂BR∗ and vR=wλa on
∂BR. Define ΨR by ΨR=ψ in BR∗\A and ΨR=vR in BR\BR∗. It is
not difficult to see that ΨR is a spacelike function defined on
BR\A possessing boundary values g and wλa on
∂A and ∂BR respectively. Hence by Remark 2.2, we can
get uR by solving the Dirichlet problem. The above claim is proved.
By comparison principle, wλa(x)+c−≤uR(x)≤wλa(x)+c+ in BR\A. Choose any sequence of
R˘<Rj→∞, by compactness, there exists a subsequence
of {uRj} converging to a function u locally uniformly in
Rn\A. By Lemma 2.1, u is area maximizing. If u is
not maximal, then graph u contains a segment of light ray and hence the
whole of the ray in (Rn\A)×R
contradicting the fact wλa(x)+c−≤u(x)≤wλa(x)+c+. Therefore u solves equation (1.1) in Rn\A. Moreover, u=g on ∂A and
[TABLE]
as x→∞.
Finally, we prove the uniqueness of u. Suppose there is another such
solution v also satisfying v=g on ∂A and
[TABLE]
Then w:=u−v satisfies a divergence form elliptic equation in Rn\A, w=0 on ∂A and w is bounded. By [GS56, Theorem
7], w≡0 in Rn\A.
7.2. Case n≥3
Given A, g, a and c as in Theorem 1.2, choose
R~ and G such that A∈BR~ and ∣g∣≤G on
∂A. Choose λ∗>0 such that 1−∣a∣2M(λ∗,n)≥∣c∣+R~+G. Denote
[TABLE]
One can verify that
[TABLE]
For the same reason as in the two dimensional case in the previous subsection,
there exists R˘ such that for any R≥R˘ there exists a
solution uR in BR\A satisfying uR=g on ∂A
and uR=a⋅x+c on ∂BR. And hence Ψ−(x)≤uR≤Ψ+(x) in BR\A. In the same way, we can construct a
solution u in Rn\A satisfying u=g on ∂A
and
[TABLE]
as x→∞.
The uniqueness of u follows from the comparison principle directly.
Acknowledgements
Part of this paper was completed during the first author’s visit to University
of Washington (Seattle). His visit was funded by China Scholarship Council.
The second author is partially supported by an NSF grant.
Bibliography13
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[Be 51] L. Bers, Isolated singularities of minimal surfaces , Annals of Mathematics, 53 (1951), 364–386.
2[BS 82] R. Bartnik, L. Simon, Spacelike hypersurfaces with prescribed boundary values and mean curvature , Communications in Mathematical Physics, 87 (1982), 131-152.
3[CL 03] L. A. Caffarelli, Y.-Y. Li, An extension to a theorem of Jörgens, Calabi, and Pogorelov , Comm. Pure Appl. Math., 56 (2003), 549–583.
4[Ca 68] E. Calabi, Examples of Bernstein problems for some nonlinear equations , Proc. Symp. Pure Math., 15 ( 1970), 223-230.
5[CY 76] S.-Y. Cheng, S.-T. Yau, Maximal Space-like Hypersurfaces in the Lorentz-Minkowski Spaces , Annals of Mathematics, 104 ( 1976), 407-419.
6[Ec 86] K. Ecker, Area maximizing hypersurfaces in Minkowski space having an isolated singularity , Manuscripta Math., 56 (1986), 375–397.
7[GS 56] D. Gilbarg, J. Serrin, On isolated singularities of solutions of second order elliptic differential equations , J. Analyse Math., 4 (1955/56), 309–340.
8[GT 98] D. Gilbarg, N. S. Trudinger, Elliptic partial differential equations of second order (revised 3rd printing) , Springer-Verlag, Berlin, 1998.