Partial regularity for singular solutions to the Monge-Ampère equation
Abstract.
We prove that solutions to the Monge-Ampère inequality
in are strictly convex away from a singular set of Hausdorff dimensional measure zero. Furthermore, we show this is optimal by constructing solutions to with singular set of Hausdorff dimension as close as we like to . As a consequence we obtain regularity for the Monge-Ampère equation with bounded right hand side and unique continuation for the Monge-Ampère equation with sufficiently regular right hand side.
1. Introduction
In this paper we investigate the Hausdorff dimension of the set where Alexandrov solutions (see Section for the precise definition) to
are not strictly convex. Recall that we say that a convex function is strictly convex at if there exists , a supporting tangent plane at , such that
Our main theorem is:
Theorem 1.1.
Assume is an Alexandrov solution to
in . Then is strictly convex away from a singular set with
We show this is optimal by constructing solutions to with singular set of Hausdorff dimension as close as we like to . This result is interesting especially for since it is well-known that in two dimensions solutions to are strictly convex.
Theorem 1.1 has several applications to the regularity theory for singular solutions to the Monge-Ampère equation with bounded right hand side, which we now describe.
Caffarelli developed a regularity theory of solutions to
at points where is strictly convex. We briefly summarize the main results. We define a section of at with height and slope by
for some subgradient at . If is strictly convex at then we can find a subgradient such that the supporting plane of this slope touches only at , and then take small enough that . In this setting, Caffarelli ([C1],[C2]) showed that
- (i)
is strictly convex in and ,
- (ii)
If then , and
- (iii)
For every there is some such that if then .
However, these regularity theorems fail at points where is not strictly convex. Consider the famous Pogorelov examples on which degenerate along . One constructs these examples by seeking solutions of the form and . The first is
which solves but is merely Lipschitz. The second is
which solves with strictly positive and smooth, but is only for and for .
In [C3], Caffarelli generalizes these examples to solutions that degenerate along subspaces of any dimension less than , and shows that it is not possible to find solutions degenerating on subspaces of dimension or higher. We provide a short proof in the next section (see Lemma 2.3). If agrees with a linear function on a -dimensional set, we say that is a -dimensional singularity. Our proof of Theorem 1.1 in fact shows that the collection of -dimensional singularities has Hausdorff dimensional measure zero (see Remark 3.4).
Since we cannot hope for regularity or regularity of singular solutions to for large , it is natural to ask what we can show about the integrability of the second derivatives. De Philippis, Figalli and Savin ([DFS],[DF]) recently showed regularity of strictly convex solutions to , where depends only on and . Our main theorem rules out the possibility that the second derivatives concentrate on :
Theorem 1.2.
Let be a solution to
in . Then .
We also show that Theorem 1.2 is optimal by proving that the examples giving optimality of Theorem 1.1 are not in for as small as we like.
A second consequence of Theorem 1.1 is that the points of strict convexity for form a connected set when is bounded away from . If is sufficiently regular we obtain unique continuation for the Monge-Ampère equation:
Theorem 1.3.
Assume that
in an open connected set , with strictly positive. If on an open subset of , then in .
To our knowledge, these are the first Sobolev regularity and unique continuation results for singular solutions to the Monge-Ampère equation.
The paper is organized as follows. In section we present basic geometric properties of the sections of solutions to . In particular, we present an important estimate on the volume growth of sections that are not compactly contained and relate the volume of compactly contained sections to the Monge-Ampère mass of these sections. In section we use these results at singular points together with the useful technique of replacing by to prove Theorem 1.1. In section we construct, for any , a solution to with a singular set of Hausdorff dimension , which shows that our main theorem is optimal. In section we use Theorem 1.1 to prove Theorem 1.2 and we show that the examples constructed in section are not in for as small as we like, which shows that regularity is optimal. Finally, in section we prove Theorem 1.3 by applying a classical unique continuation theorem in the set of strict convexity.
In future work we intend to present a more precise, quantitative version of our main theorem to obtain estimates for the second derivatives of singular solutions to .
Acknowledgements: This work is part of my forthcoming doctoral dissertation at Columbia University. I am very grateful to my thesis advisor Ovidiu Savin for his patient guidance and for his feedback on the drafts of this paper. I would also like to thank Nam Le and Yu Wang for helpful conversations about the subject.
The author was partially supported by the NSF Graduate Research Fellowship Program under grant number DGE 11-44155.
2. Preliminaries
We first recall the precise definition of Alexandrov solutions. Any convex function has an associated Borel measure , called the Monge-Ampère measure, defined by
where represents the Lebesgue measure of the image of the subgradients of in (see [Gut]). If then
Given a Borel measure , we say that is an Alexandrov solution to
if .
For a convex function defined on , we define a section by
for some subgradient at . We now present some results on the geometry of the sections.
Lemma 2.1.
(John’s Lemma). If is a bounded convex set with nonempty interior, and is the center of mass of , then there exists an ellipsoid and a dimensional constant such that
We call the John ellipsoid of . There is some linear transformation such that , and we say that normalizes .
The next lemma is an important observation about the volume growth of sections which may not be compactly contained in :
Lemma 2.2.
Assume that in . Then if is any section of , we have
for some constant depending only on .
Proof.
Assume by translation that is the center of mass of . By subtracting a linear function we can assume that
By John’s Lemma, there is a linear transformation that normalizes . Let
It is easy to check that
where . Then is an upper barrier for , so
Since , the conclusion follows. ∎
Caffarelli proved the next proposition in [C3]. We provide a short proof using a technique related to our proof of the main theorem.
Lemma 2.3.
Assume
in . Then cannot vanish on a subspace of dimension or higher.
Proof.
Suppose vanishes on
By subtracting a linear function of the form we may assume that . Then has length in the direction, where as . Furthermore, has length exceeding in the directions, where is the Lipschitz constant of in . Finally, contains the unit ball in the subspace spanned by . We conclude that
which contradicts Lemma 2.2 as for . ∎
In particular, every solution to in two dimensions is strictly convex.
We conclude the section with the following variant of Alexandrov’s maximum principle. In the following denote small and large constants depending only on , and their values may change from line to line.
Lemma 2.4.
Let be any convex function on with . Then
Proof.
By translation assume that the center of mass of is . Let normalize and let
Then
with .
The maximum of is achieved at some point . Let be the function whose graph is the cone generated by and . By convexity,
Since is a ball of radius at least , we have
Finally, so the conclusion follows. ∎
3. Proof of Theorem 1.1
In this section assume that
in . Fix and a subgradient at . By translation and subtracting a linear function assume that . Then contains a line segment of some length . By Lemma 2.2,
for all .
Letting and denoting the sections of by , it follows that
for all small.
Theorem 1.1 thus follows from the following more general result:
Theorem 3.1.
Let be any convex function on with sections , and let denote the set of points such that for all supporting slopes at , there is some such that
for all small. Then
Proof of Theorem 1.1:.
We briefly discuss the main ideas of the proof. Fix and a subgradient at . In the following analysis will denote small and large constants depending on and the . If then the definition of and Lemma 2.4 give
for all small.
An important technique of the proof is to replace by . Then all of the sections are compactly contained in for small, and the diameter of sections is at most . By replacing the sections by and using a covering argument, we easily obtain that has Hausdorff dimension at most .
Lemmas 3.2 and 3.3 improve this result as follows. We aim to rule out behavior like
which has a singular hyperplane. For this example, the sections at have the correct growth when we take supporting slopes with no -component, but the sections are too large when we take supporting slopes with -component .
In the first lemma we use that the sections are small for all supporting planes at to show that must grow much faster than quadratically in at least two directions, unlike the example above. In the second lemma we use the above observation about the Monge-Ampère mass of in the directions where grows much faster than quadratically from . Since we replaced by we also know that grows at least quadratically in the remaining directions. This allows us to cover with balls in which the Monge-Ampère mass of is much larger than the radius to the , giving the desired improvement.
Lemma 3.2.
Fix . For a supporting slope at , let
denote the axis lengths of the John ellipsoid of the section . Then
Proof.
By translating and subtracting a linear function assume that . Assume by way of contradiction that we can find and some such that
for all . We first show that is trapped by two tangent planes at .
Let and be the points on where the hyperplanes perpendicular to the shortest axis of the John ellipsoid become tangent to , and let and denote subgradients at these points. Since
we have that for all . By this observation and convexity we can rotate and pass to a subsequence such that
Then is trapped by the planes . We conclude that
To complete the proof, we show that the volumes of sections obtained with tilted supporting planes are too large. Take the largest such that and consider the sections
Then engulf . Furthermore,
where as . Indeed, if not, then for some small and a sequence we would have for all . Convexity and imply that for all , which in turn implies that
contradicting the definition of .
Finally, let be the point in furthest in the direction. Since grows at least quadratically, we have
Recall that . Since for all , contains the cone with vertex and base given by a ball of radius on the hyperplane . We conclude that
contradicting our definition of for large. ∎
Lemma 3.3.
Fix . For any , there is a sequence such that
Proof.
Fix a subgradient at and let be defined as in the statement of Lemma 3.2. Let
Fix small. Then we can find a sequence and depending only on such that
and for all . Rotate the axes so that the are the axes for the John ellipsoid of and assume by translation that .
Take the restriction of to the subspace spanned by , and call this restriction . Let
the slice of the section in this subspace. Then since
and grows at most quadratically in the first directions, we have
Using this and Lemma 2.4,
Finally, let , with taken large enough that
By strict quadratic growth, contains a ball of radius around every point in . It follows that
By Lemma 3.2 we have , so the conclusion follows. ∎
We can complete the proof of theorem 3.1 with a covering argument.
Proof of Theorem 3.1:.
Fix small. By Lemma 3.3, for each we can choose an arbitrarily small such that
Cover with such balls, and choose a Vitali subcover , i.e. a disjoint subcollection such that cover . Then
since is locally Lipschitz and the are disjoint. This means exactly that
∎
Remark 3.4.
Replacing with
and replacing with in the preceding, one obtains that . If , such growth happens for at points where agrees with a linear function on a -dimensional subspace. This shows that the Hausdorff dimension of the -dimensional singularities is at most . In particular, we recover Lemma 2.3 since for we would have a -dimensional singularity with Hausdorff -dimensional measure .
4. Examples
In this section we construct examples of solutions to in such that has Hausdorff dimension as close to as we like. A small modification produces the analagous examples in .
For this section, fix small. We construct our examples in several steps, which we briefly describe:
- (i)
First, we construct functions with
in that degenerate along and behave like along the axis.
- (ii)
Next, we construct a standard with Hausdorff dimension close to and a convex function on such that for any , there is a tangent line such that separates from this line faster than .
- (iii)
Finally, we get our example by solving the Dirichlet problem
and comparing with at points in .
In the following analysis and will denote small and large constants depending on .
Construction of : We look for a convex function with the homogeneity
where and satisfy and
(It is easy to check that is necessary for such a function to have bounded below). Note that this rescaling preserves the curves .
Let denote . An obvious candidate for is
One checks that
Take . Then for small depending on we have
Along the curves , we compute
since .
Thus, up to rescaling the -axis and multiplying by a constant, we have
Construction of : Let be a small constant we will choose shortly depending on . Construct a self-similar set in as follows: First, remove an open interval of length from the center. Proceed inductively by removing intervals a fraction of each of those that remains. Denote the centers of the intervals removed at stage by , and the intervals by . Finally, let
It is easy to check that and that has Hausdorff dimension .
Construction of : Let
We add rescalings of together to produce the desired function:
We now check that satisfies the desired properties:
- (i)
v is convex, as the sum of convex functions. Furthermore,
so is bounded.
- (ii)
Let . We aim to show that separates from a tangent line more than a distance from . By subtracting a line assume that and that is a subgradient at . Assume further that and that . There are two cases to examine:
Case 1: There is some . Then by the construction of it is easy to see that there is some interval such that . On this interval, grows by
where we choose so that
Case 2: Otherwise, there is an interval of length exceeding such that . Then at the left point of , the slope of jumps by at least . It follows that at , is at least
Thus, has the desired properties.
Construction of : We recall the following lemma on the solvability of the Monge-Ampère equation (see [Gut]).
Lemma 4.1.
If is open and convex, is a finite Borel measure and is continuous on then there exists a unique convex solution to the Dirichlet problem
Let for a constant depending on we will choose shortly, and obtain by solving the Dirichlet problem
Take . By translating and subtracting a linear function assume that and is a subgradient for at . Taking large we guarantee that
for all , and that that on the sides of . Thus, in all of . Since at both and for all , we have by convexity that along .
We conclude that contains which has Hausdorff dimension .
Remark 4.2.
To get the analagous example in , take
Observe that this solution has exactly the behavior described by Lemma 3.2, which says that must grow faster than quadratically in two directions. In the next section we show that for any , these examples are not in for small enough.
5. Regularity
In this section we obtain regularity for singular solutions to the Monge-Ampère equation. Furthermore, by examining the examples in the previous section we show that we cannot improve this result to regularity for an depending on and .
The following result of Savin, De Philippis and Figalli (see [DFS]) gives regularity of solutions to in compactly contained sections:
Theorem 5.1.
Assume that
Then for some depending only on and .
regularity then follows from our main theorem.
Proof of Theorem 1.2:.
We now examine the integrability of for the examples constructed in the previous section. On any ball , by Hölder’s inequality we have
Recall that the subsolutions grow like in the direction, and that these functions touch by below at any . It follows that
for any . Applying convexity,
Fix small and cover with balls of radius . Take a Vitali subcover . It follows that
Taking above, we conclude that
where the expression on the right goes to as because the Hausdorff dimension of is . Thus, is not for .
Remark 5.2.
In future work we intend to present a more precise version of Theorem 1.1 which gives regularity of second derivatives of singular solutions to .
6. Unique Continuation
For our proof of unique continuation we rely on the following classical result:
Theorem 6.1.
Assume that is a connected open set and is a weak solution to the equation
where is Lipschitz and uniformly elliptic and are bounded measurable. If on some open subset of , then in .
A proof can be found in Hörmander’s book [H], Theorem . In [AS], the authors use the same theorem to prove unique continuation for fully nonlinear uniformly elliptic equations.
We will apply this result to the difference of and , which solves a linear equation where and are sufficiently regular. Indeed, suppose and are in a neighborhood of and let be the convex combination . Let be the matrix of cofactors for . Then by expanding we get
where
The regularity theory of Caffarelli [C2] allows us to use this observation at points of strict convexity for solutions to the Monge-Ampère equation:
Theorem 6.2.
Assume
where is strictly positive. Then
The proof of unique continuation follows easily from these observations and our main theorem.
Proof of Theorem 1.3:.
Let and be the singular sets of and respectively, and let . Since is dense in , it suffices to show that on .
References
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