Thin One-Phase almost minimizers
Daniela De Silva, Ovidiu Savin

TL;DR
This paper establishes optimal regularity results for almost minimizers of the thin-one phase energy functional and introduces a viscosity solutions approach to analyze their free boundary behavior.
Contribution
It extends the regularity theory from energy minimizers to almost minimizers using a novel viscosity solutions framework.
Findings
Proves optimal regularity of solutions.
Establishes partial regularity of the free boundary.
Adapts viscosity solutions methods to this setting.
Abstract
We consider almost minimizers to the thin-one phase energy functional and we prove optimal regularity of the solution and partial regularity of the free boundary. We thus recover the theory for energy minimizers. Our methods are based on a noninfinitesimal notion of viscosity solutions.
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Thin one-phase almost minimizers
D. De Silva
and
O. Savin
Abstract.
We consider almost minimizer to the thin-one phase energy functional and we prove optimal regularity of the solution and partial regularity of the free boundary. We recover the theory for energy minimizers developed in [DR, DS1]. Our methods are based on a noninfinitesimal notion of viscosity solutions we introduced in [DS4].
1. Introduction
The purpose of this paper is the study of almost minimizers of the so-called thin one-phase energy functional, that is
[TABLE]
where is a bounded domain in and points in are denoted by .
The minimization problem for was first considered by Caffarelli, Roquejoffre and Sire in [CRS], as a model of a Bernoulli type free boundary problem in the context of the fractional Laplacian. When , this problem is related to models involving traveling wave solutions for planar cracks. In this setting the slit represents the location of the crack in a 3D material and the free boundary is one-dimensional and represents the edge of the crack.
The study of the regularity of thin one-phase free boundaries was initiated by the first author and Roquejoffre in [DR], where it was shown that “flat” free boundaries are via a viscosity approach. In [DS1, DS2, DS3] we investigated further properties of minimizers by combining variational and nonvariational techniques. We showed that Lipschitz free boundaries are of class and local minimizers of have smooth free boundary except possibly for a small singular set of Hausdorff dimension . Thus, the main regularity results for the classical one-phase Alt-Caffarelli energy functional have been extended to the thin setting [AC, C1, C2, KNS].
In this paper we develop the regularity theory for almost minimizers of and their free boundaries. Almost minimizers of the Alt-Caffarelli functional were investigated recently by David and Toro, and David, Engelstein and Toro in [DaT, DaET]. Our strategy differs from the one in [DaT, DaET]. It is inspired by our recent work [DS4] in which we develop a Harnack type inequality for functions that do not necessarily satisfy an infinitesimal equation but rather exhibit a two-scale behavior. As an application, we provide in [DS4] a non-variational proof of of the estimates of Almgren and Tamanini [A, T] for quasi-minimizers of the perimeter functional. We follow here a similar approach, by showing that almost minimizers of are “viscosity solutions” in this more general sense (see Subsection 3.5). Roughly, our viscosity solutions satisfy comparison in a neighborhood of a touching point whose size depends on the properties of the test functions.Once this is established, then we employ the techniques developed in [DR, DS1, DS2] to study the regularity of the free boundary of viscosity solutions.
Before stating our main results, we recall the definition of almost minimizers (see [G] for a comprehensive treatment of almost minimizers of regular functionals of the calculus of variations.)
Definition 1.1**.**
We say that is an almost minimizer for in (with constant and exponent ) if , a.e. in , and
[TABLE]
for every ball such that and every such that on in the trace sense.
Our first theorem concerning the optimal regularity holds for a slightly weaker class than almost minimizers. For simplicity, we state it here for almost minimizers and we refer the reader to Theorem 2.2 for the more general result.
Theorem 1.2**.**
Let be an almost minimizer for in with constant and exponent . Then
[TABLE]
for some constant depending on , and . Moreover, has uniformly bounded semi-norm in a small ball , with depending on and .
Furthermore we extend the main result in [DR] concerning the regularity of the free boundary
[TABLE]
to the context of almost minimizers. Precisely, we prove an improvement of flatness theorem (see Theorem 3.1), from which the following main regularity result follows.
Theorem 1.3**.**
Let be an almost minimizer to in with constant and exponent . Then
[TABLE]
and is regular outside a closed singular set of Hausdorff dimension , for some small.
Our strategy also allows us to obtain regularity of Lipschitz free boundaries via the arguments of [DS1] (see Theorem 5.2).
The paper is organized as follows. In Section 2 we prove the optimal regularity for almost minimizers and non-degeneracy properties. The following section is devoted to the “flatness implies ” result. Section 4 deals with the linearized problem associated to our flatness theorem. Finally, in the last section, we collect the regularity results that follow by standard arguments on the basis of the theory developed in the previous sections.
2. regularity and non-degeneracy of thin almost minimizers
In this section we start our study of thin almost minimizers, that is almost minimizers to the thin one-phase energy functional defined in (1.1).
Notation. Recall that are points in . We denote by a dimensional ball of radius , while we denote by Also,
2.1. regularity.
The purpose of this subsection is to obtain regularity of thin almost minimizers. In fact, we do not need to require that is an almost minimizer but we can weaken our assumption (see statement of Theorem 2.2.)
First we remark that the energy scales according to the rescaling
[TABLE]
If is an almost minimizer with constant and exponent , then is an almost minimizer with constant and exponent . Thus, after an initial dilation we may assume that the constant is sufficiently small.
Our first result is the following dichotomy. From here on, constants depending only on are called universal, and they may change from line to line in the body of a proof. Recall also that the function is non-negative.
Proposition 2.1**.**
Let and assume that
[TABLE]
for all such that on (in the trace sense.) Denote by
[TABLE]
There exist universal constants such that if then the following dichotomy holds. Either
[TABLE]
or
[TABLE]
Proof.
Let denote the harmonic replacement of in Then,
[TABLE]
and by (2.1) together with the fact that
[TABLE]
this gives ( universal)
[TABLE]
Thus, since minimizes the Dirichlet integral in ,
[TABLE]
Since is subharmonic in and minimizes the Dirichlet integral, we conclude that
[TABLE]
with universal. Thus, since is harmonic, if we denote by , we conclude that and
[TABLE]
with universal. Thus, for universal
[TABLE]
and we use , hence
[TABLE]
Now, we can choose small universal so that
[TABLE]
and small so that
[TABLE]
Then we distinguish two cases. Either
[TABLE]
hence the first alternative holds, or which combined with (2.6) and the choice of and provides the bound in the second alternative.
∎
We can now prove our regularity theorem, which clearly implies Theorem 1.2 in the introduction.
Theorem 2.2**.**
Let satisfy,
[TABLE]
and all competitors on If is small enough universal, then
[TABLE]
for some constant universal. Moreover, has a uniform seminorm in a small ball , with depending on and .
Proof.
Let , , and be the constants from Proposition 2.1 and assume . Set
[TABLE]
We show that for all the following inequality holds
[TABLE]
with a large constant.
For the desired inequality is clearly satisfied. Let us assume that it holds for and let us show that it holds also for
By Proposition 2.1 (rescaled) either
[TABLE]
or
[TABLE]
Then (2.7) holds also for since if the first alternative holds, we can use that
[TABLE]
In conclusion for all , and by Poincare inequality we conclude that
[TABLE]
The same inequality can be obtained for the averages over all balls with center in which are included in and this gives
[TABLE]
by Morrey-Campanato theory.
∎
From now on we discuss properties of almost minimizers near its zero set. By Theorem 2.2 we may assume after a dilation that
[TABLE]
for some depending only on . Notice that by Caccioppoli inequality (Theorem 6.5 in [G]), we also have that
[TABLE]
For completeness we sketch how this last bound is obtained, and we need much weaker hypotheses. If satisfies a rough energy inequality of the type
[TABLE]
then, by taking an interpolation between [math] in and in , one obtains
[TABLE]
Now by a standard iteration (see Lemma 6.1 in [G]) it follows
[TABLE]
In view of the Caccioppoli inequality we may assume after a dilation that also . Then the energy inequality
[TABLE]
for any that equals with on , implies
[TABLE]
for some depending only on . It is more convenient working with (2.9) instead of (2.8) since the energies cancel in a region where .
2.2. Nondegeneracy
After relabeling in (2.9) we assume that satisfies
[TABLE]
with small, for any which agrees with on . Notice that by the standard Caccioppoli inequality .
Remark 2.3*.*
We remark that if vanishes at some point in then the rescaling
[TABLE]
satisfies (2.10) with
We start with the following basic consequences of (2.10) by comparing with its harmonic replacement. Then we obtain a subsequent Harnack type inequality.
Lemma 2.4** (Harmonic replacement).**
Assume (2.10) holds, , and let denote the harmonic replacement of in . Then,
[TABLE]
Proof.
By the maximum principle, in , hence using (2.10) and the fact that is the harmonic replacement of we get
[TABLE]
By Poincare inequality we conclude that ( changing from line to line)
[TABLE]
with uniformly in . Thus, if say at , we conclude that
[TABLE]
Thus (2.11) holds with
∎
Remark 2.5*.*
The upper bound in 2.11 holds also if we remove the assumption that is not strictly positive in . Precisely, if is a harmonic function in , say continuous on , with on and , we can conclude that
[TABLE]
Indeed, we can argue as in the proof of Lemma 2.4, using
[TABLE]
as a competitor for the energy. We conclude that
[TABLE]
This leads to
[TABLE]
and we can continue the argument as in Lemma 2.4, using that is -Hölder continuous in .
An immediate consequence of Lemma 2.4 is the following version of Harnack inequality.
Corollary 2.6**.**
Assume (2.10) holds, , and let be a harmonic function such that in and at [math] for some , small. Then in for some universal provided that .
Our non-degeneracy lemmas can be stated as follows. Their proof follows the ideas in [DS1].
Lemma 2.7** (Weak non-degeneracy).**
Assume (2.10) holds, , and is small. Then there exists a constant such that
Proof.
Let be the harmonic replacement of in and then extended by outside . Then according to Lemma 2.4, it is enough to prove the desired statement for
Now, let with in and Since minimizes the Dirichlet integral and in (by the maximum principle), we have
[TABLE]
On the other hand, since is harmonic, ( universal possibly changing from line to line)
[TABLE]
from which we deduce that
[TABLE]
Combining (2.12)-(2.13) (since in ) we get
[TABLE]
hence
[TABLE]
for universal.
∎
Lemma 2.8** (Strong non-degeneracy).**
Let satisfy
[TABLE]
for any ball with center , and any which agrees with on . If , then
[TABLE]
with , small positive constants depending only on .
Proof.
We recall that denotes the - dimensional ball included in . By standard arguments, (see Lemma 7 in [C3],) it suffices to show the following claim.
Claim: Let (close to the origin). There exists a sequence such that
[TABLE]
with
[TABLE]
for some small.
We now show that the sequence of ’s exists. Assume we constructed . After scaling we may suppose that
[TABLE]
We call the point where the distance from to is achieved. By the bound on and the non-degeneracy Lemma 2.7 we have
[TABLE]
Assume by contradiction that we cannot find in with large to be specified later, with
[TABLE]
Let be the harmonic function in , such that
[TABLE]
and growing linearly in Here is chosen so that on (using the fact that is Hölder continuous and .) Set
[TABLE]
Then satisfies the assumptions in Remark 2.5, with and we can conclude that for small (depending on ),
[TABLE]
On the other hand we have,
[TABLE]
if is chosen large depending on Thus, (by the same argument applied in )
[TABLE]
On the other hand, . Thus from the Hölder continuity of we find
[TABLE]
We now use Lemma 2.4 in (with instead of ) and conclude that if is sufficiently small we contradict that
[TABLE]
∎
Once Hölder continuity and non-degeneracy have been established, it is straightforward to show that any blow-up sequence must converge uniformly on compact sets to a global minimizer. Moreover, by the Weiss monotonicity formula (see Theorem 4.1 in [DS1]), it follows that the limit must be homogenous of degree 1/2. We sum up these facts in the next proposition.
Proposition 2.9**.**
Assume is an almost minimizer of and that . Any blow up sequence converges uniformly (up to subsequences) to a global minimizing cone (homogenous of degree ) which has [math] as a free boundary point. Also, their free boundaries converge in the Hausdorff distance (on compact sets) to the free boundary of the cone.
2.3. estimates up to
Next we show that an almost minimizer in has estimates up to the slit boundary in the case when vanishes on .
Lemma 2.10**.**
Let be an almost minimizer to in (with constant and exponent ). Assume universal, and on . Then, if small, we have
[TABLE]
Proof.
We use competitors which also vanish on , hence is an almost minimizer for the Dirichlet energy and then the proof is standard (see [G].).
We sketch some details below. In any ball included in or any half-ball with center on , we have
[TABLE]
where represents the restriction of to the upper half space, and is the harmonic replacement of in . The desired conclusion follows by a standard Morrey-Campanato iteration: we show by induction that for a sequence of radii , with small, depending on and , we have
[TABLE]
for some vectors (which are in turn bounded by ).
Indeed, by the estimates for we find from the induction hypothesis
[TABLE]
which combined with (2.17) gives
[TABLE]
provided that is chosen sufficiently small.
∎
We give a rescaled version of the lemma above.
Corollary 2.11**.**
Assume that , and is an almost minimizer to in with constant . Let be a -dimensional ball included in which is tangent to the free boundary. Then in we have
[TABLE]
Indeed, assume for simplicity. Then the rescaled function
[TABLE]
is an almost minimizer with constant , and then the conclusion follows by rescaling back the estimates for .
Next we use this boundary estimate to establish the optimal growth of away from a free boundary point.
Lemma 2.12**.**
Assume that is an almost minimizer to in (with constant small and exponent ), universal, and . Then
[TABLE]
where , represent the distance form to the zero set of , respectively the free boundary , and is small.
Proof.
We fix a point , and we will prove the inequality at this point. Without loss of generality, after a rescaling, we may assume that , and the distance from to is realized at the origin. Then
[TABLE]
where is the harmonic replacement of in . By Poincare inequality and the fact that , are uniformly Hölder away from the boundary of , we find that
[TABLE]
By Lemma 2.8, is nondegenerate, which combined with the inequality above and the Harnack inequality for , gives the conclusion of the lemma if .
If , then in both and vanish, and by Lemma 2.10 we have that is uniformly in , on both sides of . This together with inequality (2.18) implies that
[TABLE]
By the Hopf lemma for we find provided that we choose sufficiently small, and the desired conclusion follows.
∎
3. Regularity of flat thin free boundaries
In this section we begin our investigation of the regularity of the free boundary for almost minimizers. After multiplying by a suitable constant we may assume that is given by
[TABLE]
The factor is chosen such that the function which is the harmonic extension of to the upper half-plane and then reflected evenly across is a global minimizer for . In other words is the real part of , or in the polar coordinates
[TABLE]
is given by
[TABLE]
When we extend constantly in variable we obtain a global minimizer in . Precisely
[TABLE]
denotes the trivial cone in .
One of our main results is that an almost minimizer with small constant which is sufficiently close to an optimal configuration in has a free boundary in .
Theorem 3.1** (Flatness implies regularity.).**
Let be an almost minimizer to in (with constant and exponent ), and let . Assume in . If and are small enough depending on and , then is in , with .
3.1. Translations of
We start by normalizing our flatness assumption, that is we show that if is close to in then we can always trap it between two small translates of . Precisely if
[TABLE]
then it follows that
[TABLE]
with as , provided that the constant is sufficiently small.
The inequality (3.3) is a consequence of (3.2) away from a small neighborhood of the set . We need to show the inequality is satisfied also in this neighborhood.
Fix small. The non-degeneracy property of implies that its free boundary lies in the strip . Let be the harmonic replacement of in . Since vanishes on , by Lemma 2.10, the norm of is bounded in a small neighborhood of by a constant . The same holds for , and since
[TABLE]
we find
[TABLE]
Moreover, as , hence by the regularity of harmonic functions
[TABLE]
Combining these inequalities we find that the Lipschitz norm of tends to [math] as , and this gives the desired inequality (3.3) in as well.
3.2. Reduction to the case when is even in .
In order to apply directly the methods from [DR] to the study of almost minimizers it is convenient to reduce our analysis to the case of functions that are symmetric with respect to the last variable. We remark however that this reduction is not really necessary, as the arguments in [DR] can be extended to the nonsymmetric case without much difficulty.
We show that we may replace by its even part with respect to ,
[TABLE]
and the key properties are preserved.
Suppose that and satisfies (see (2.8)-(2.9))
[TABLE]
for some small constant . Then we claim that satisfies the same inequality with constant instead of .
Indeed, let represent the harmonic replacement of in which does not change the values of on . Then, using (3.4) we find
[TABLE]
Clearly this inequality holds for the odd parts of and as well.
Let denote the odd part of . Notice that is an odd harmonic function in whole . We write and use that
[TABLE]
to obtain
[TABLE]
A function which equals on can be written as with on . Since
[TABLE]
we find
[TABLE]
and in the last inequality we used the hypothesis on . In conclusion
[TABLE]
which proves our claim.
3.3. Improvement of flatness lemma
For the remaining of this section we assume that in the function satisfies
is even in ,
[TABLE]
for some small,
in any -dimensional ball included in which is tangent to the free boundary we have
[TABLE]
[TABLE]
where and represent the distances to the zero set , and respectively the free boundary .
We remark that and hold for almost minimizers by Corollary 2.11 and Lemma 2.12, and they remain valid after symmetrizing in the variable as in subsection 3.2.
Theorem 3.1 follows from the improvement of flatness lemma below.
Lemma 3.2**.**
Let satisfy -. Assume that and
[TABLE]
Given there exists depending on and such that if for some large constant , then
[TABLE]
for some direction provided that sufficiently small.
We explain how Lemma 3.2 implies Theorem 3.1. Assume and then it suffices to show by induction that for a sequence of radii we can find unit directions such that
[TABLE]
where denotes the even part of with respect to the last coordinate.
The case is guaranteed by subsection 3.1. Assume the conclusion holds for some , and say . Then the rescaling
[TABLE]
satisfies (2.9) with thus, by subsection 3.2, its even part satisfies H1)-H4) above for
[TABLE]
On the other hand, by the induction step, satisfies the flatness hypothesis of Lemma 3.2 with
[TABLE]
In order to apply Lemma 3.2 and obtain the desired conclusion in we need to check which is satisfied if and are chosen sufficiently small.
The proof of Lemma 3.2 follows the lines of proof given for minimizers in [DR]. We will complete its proof in the next section. In our setting the main step is to establish that is in an appropriate sense a viscosity solution to the thin one-phase problem. Then the remaining arguments carry through without much difficulty as in [DR].
3.4. Comparison Subsolutions
Here we recall the definition and properties of a family of explicit subsolutions (and similarly supersolutions) introduced in [DS2]. We later show that satisfies a version of the comparison principle with elements of this family.
We introduce the family with a smooth hypersurface in and . We remark that in [DS2] we defined a slightly larger class involving two real parameters and which was needed in order to establish the estimates of viscosity solutions. For our purposes, it suffices to fix .
For any we define the following family of two-dimensional profiles given in polar coordinates in a plane of coordinates :
[TABLE]
that is
[TABLE]
Given a surface
[TABLE]
and a point in a small neighborhood of , we call the 2D plane passing through and perpendicular to , that is the plane containing and generated by the -direction and the normal direction from to .
We define the family of functions
[TABLE]
with respectively the first and second coordinate of in the plane . In other words, is the signed distance from to (positive above in the -direction,) and .
If
[TABLE]
for some and we use the notation
[TABLE]
For small, we define the following classes of functions
[TABLE]
Next lemma, which is Proposition 3.2 in [DS2], provides a condition for a function to be a subsolution/supersolution.
Lemma 3.3**.**
Let with universal. There exists a universal constant such that if
[TABLE]
then is a comparison subsolution to thin one-phase problem in :
- (i)
* in ,* 2. (ii)
* on .*
The second property means that at any point we have
[TABLE]
where denotes the unit normal at to pointing toward .
We remark that property (i) is not stated precisely as above in Proposition 3.2 in [DS2], however it follows from its proof that .
We think of the functions being obtained from through a domain deformation given by a map , with given implicitly as
[TABLE]
The choice of writing the perturbation in the direction instead of the direction, is so that the transformation preserves the ordering of functions: is equivalent to .
We often work with translations of the graphs of the functions . In terms of the hodograph transform , a translation of the graph of by corresponds to adding to .
We recall Proposition 3.5 in [DS2] which gives an estimates for up to order .
Lemma 3.4**.**
Let . Then satisfies the following estimate in
[TABLE]
with a universal constant.
3.5. Almost minimizers as viscosity solutions
The next lemma states that an almost minimizer cannot be above a a subsolution in and be tangent to it in .
Lemma 3.5**.**
Assume satisfies , and in . If
[TABLE]
and , large, then we have
[TABLE]
A similar statement holds for supersolutions with when the inequalities are reversed.
When we say that is tangent to by below in we mean that and any translation of by with , is strictly above at some point in .
Lemma 3.5 is used to provide a comparison principle for a function that satisfies - Precisely, if is above a translation of in and if in addition in say then this inequality can be extended to in
Proof.
Let
[TABLE]
By Lemma 3.4 we can compare the hodograph transforms of and and deduce
[TABLE]
Set
[TABLE]
and notice that
[TABLE]
Then we have
[TABLE]
or equivalently
[TABLE]
On the other hand we claim that
[TABLE]
This inequality is a consequence of the fact that is the minimizer of the energy
[TABLE]
among all functions that satisfy .
Indeed, as it was shown in [DS2], minimizers do enjoy the comparison principle with comparison subsolutions in the unconstrained region . By Lemma 3.3 we know that in the translations of , with form a continuous family of such subsolutions for the minimization problem above since
[TABLE]
Now the claim (3.12) follows since and .
Let’s assume by contradiction that is tangent by below to at some point , in the sense that any translation with cannot be below in a neighborhood of . In view of (3.11)-(3.12) it remains to show that in this case we satisfy a rough integral bound
[TABLE]
If is outside a neighborhood of the set then, by using (3.10), we find
[TABLE]
The uniform bound of implies
[TABLE]
which gives the desired integral bound.
We consider the case when is in a neighborhood of the set . Let denote the distance from to and then
[TABLE]
Otherwise, by , we have
[TABLE]
in and we contradict that is tangent to by below at . This argument and H4) show that in hence by
[TABLE]
Since is tangent by below at and satisfies the same bound, we get
[TABLE]
On the other hand, by (3.10),
[TABLE]
and we use that the difference between the two translates of is greater than . We obtain
[TABLE]
provided we choose with sufficiently large, which implies the desired bound (3.13).
∎
For completeness, we state also the case of supersolutions.
Lemma 3.6**.**
Assume satisfies - and in . If
[TABLE]
and , large, then we have
[TABLE]
Proof.
The proof is similar, and we only sketch the last part of argument which is slightly different. The rough integral bound which we need to prove now is
[TABLE]
if we assume that is tangent by above to at some point .
If is outside a neighborhood of the set then
[TABLE]
and the conclusion follows from the Holder continuity of and .
When is in a neighborhood of the set , let denote the distance from to . If
[TABLE]
then, by H4) we have
[TABLE]
and the integral bound follows. If
[TABLE]
then we may assume that in since otherwise the conclusion is obvious in view of . We can use and obtain that
[TABLE]
This means that also on for some small , otherwise we contradict that and are tangent at . Using that in both and have norm bounded by we find
[TABLE]
and the last argument of the previous lemma applies as we write
[TABLE]
∎
4. Proof of the Improvement of flatness Lemma.
4.1. The normalized Hodograph transform
We follow the arguments in [DR] and check that they apply in our situation. Here and henceforth we denote by the half-hyperplane
[TABLE]
and by
[TABLE]
Also we denote by the translation of by ,
[TABLE]
Assume that satisfies the hypotheses of Lemma 3.2 and therefore satisfies the -flatness assumption
[TABLE]
We define the multivalued map as the -normalized Hodograph transform of with respect to which associate to each the set via the formula
[TABLE]
Since is increasing in the direction, we obtain that
[TABLE]
The free boundary problem for is encoded in the limiting values of on .
4.2. The linearized problem
As in [DR], the strategy to prove Lemma 3.2 is to show that for small , is well approximated uniformly on compact sets of by a viscosity solution to the associated linearized equation
[TABLE]
We recall the definition of a viscosity solution to the linearized problem above.
Definition 4.1**.**
We say that is a solution to (4.3) if , is even in and it satisfies
- (i)
in ; 2. (ii)
cannot be touched by below (resp. by above) at any , by a continuous function which satisfies
[TABLE]
with (resp. ) and represents the distance from to , .
Lemma 3.2 follows easily from the estimate for obtained in [DR], once the uniform convergence of to a solution is established.
Theorem 4.2**.**
[DR]** Let be a solution to (4.3) such that . Given any , there exists depending on , such that satisfies
[TABLE]
for some vector .
4.3. Two properties
Next we state two properties (P1) and (P2) for the function which turn out to be sufficient for obtaining the approximation of with solutions of (4.3), and for obtaining the improvement of flatness Lemma 3.2. These properties are written in terms of a small parameter .
(P1) Harnack inequality
Given , there exists such that if and
[TABLE]
and
[TABLE]
then
[TABLE]
for some universal.
Similarly, the above holds when we replace by and by .
(P2) Viscosity property
Given , there exists such that if then
a) we cannot have and in where
[TABLE]
b) we cannot have in with and tangent by below to in where is a translation of a function ,
[TABLE]
Similarly, a), b) hold when we compare with functions , by above and respectively .
When we say that tangent by below to in we mean that any translation with cannot be below in .
We explain why (P1) and (P2) suffice for the proof of Lemma 3.2. We argue by compactness and consider a sequence of functions satisfying the assumptions of the Lemma 3.2 with . We show that we can extract a subsequence of the ’s which converges on compact sets of to a solution of the linearized problem. Then Lemma 3.2 becomes a consequence of Theorem 4.2.
We may suppose that with as in the properties (P1), (P2) above. Then property (P1) guarantees that satisfies the Harnack inequality in balls of size included in from scale up to scale . By Arzela Ascoli theorem, the multivalued graph of converges (up to a subsequence) in the Hausdorff distance to the graph of a uniformly Hölder function defined in .
Property (P2) implies that the limit function satisfies the linearized problem (4.3). Indeed, suppose that is a quadratic polynomial that touches strictly by below at a point with . By the uniform convergence of to it follows that a translation of defined as
[TABLE]
touches by below at a point and it is below in a fixed neighborhood of . This contradicts property (P1) part a) for large since it is straightforward to verify that (see Proposition 2.8 in [DS2])
[TABLE]
for a fixed depending on and .
Next we check that satisfies the correct boundary condition on . We argue by contradiction. Assume for simplicity (after a translation) that there exists a function which touches by below at [math] with and such that
[TABLE]
Then we can find a constant large (depending on ) such that the quadratic polynomial
[TABLE]
touches strictly by below at [math] in for some sufficiently small . We let
[TABLE]
which satisfies the conditions of property (P2) part b). By Lemma 3.4 we know that the -rescaling of the hodograph transform of satisfies
[TABLE]
Since converges uniformly to , we obtain that a translation of (with ) touches by below at some point and is above this translation in . This contradicts property (P2) part b).
4.4. Properties (P1) and (P2) are satisfied.
We fix and consider a function that satisfies the hypotheses of Lemma 3.2, and recall that with sufficiently large. We need to show that (P1) and (P2) hold if sufficiently small.
We distinguish 3 cases depending on the position of with respect to and .
Case 1: .
Then in and in this ball we replace by its harmonic replacement . The almost minimizer hypothesis H2) implies
[TABLE]
From the Poincare inequality and the uniform Holder continuity of and in we conclude
[TABLE]
Hence in , is approximated by a harmonic function up to an error, and then properties (P1) and (P2) a) easily follow for this case provided that is sufficiently small.
Case 2: and .
We let denote the harmonic replacement of in . By both and have norm in bounded by . Now the corresponding inequality (4.4) gives constants , depending on and such that
[TABLE]
Then is approximated by a harmonic function up to an error, and then property (P1) follows from the boundary Harnack inequality for harmonic functions.
Case 3: .
After a rescaling we may assume that , and is replaced by (see Remark 2.3).
For property (P1), let’s assume for simplicity that , i.e. in . By the first two cases above we already know the desired inequality holds (for some small constant ) outside a small neighborhood of . It remains to show that it holds (for a possibly smaller constant ) in a small neighborhood of and for this it suffices to do it in a neighborhood of [math]. We express the inequalities in terms of , the -rescaling of the Hodograph transform of . Let denote the quadratic polynomial
[TABLE]
and let
[TABLE]
denote the corresponding subsolution associated to . We know in , and
[TABLE]
We choose small, so that the two inequalities on above imply
[TABLE]
In view of the comparison Lemma 3.6 applied to and translates of , (with ) we conclude that
[TABLE]
This gives the desired inequality in a small neighborhood of [math], and property (P1) is proved.
Property (P2) part b) is a direct consequence of Lemma 3.6. Indeed, assume that and after a rescaling
[TABLE]
we may assume , , , , . Then and we can apply Lemma 3.6 with .
5. Partial regularity of the free boundary
The blow-up convergence of almost minimizers to minimizing cones (see Proposition 2.9) and the flatness theorem Theorem 3.1 imply that the blow up analysis of minimizing cones and minimizers performed in [DS1] carries through identically to the the case of almost minimizers. In particular we recover the same regularity results as for minimizers up to regularity. Recall that the free boundary of a minimizer consists of a singular part which is a closed set of Hausdorff dimension , and a regular part which has finite dimension and is locally smooth, see [DS1]. In our case this result can be written as follows.
Theorem 5.1**.**
Let be an almost minimizer to in with exponent and sufficiently small constant . Then
[TABLE]
and is regular outside a closed singular set of Hausdorff dimension , for some small.
We also state the result of [DS1] about the regularity of Lipschitz free boundaries for the case of almost minimizers.
Theorem 5.2**.**
Let be an almost minimizer in with exponent and constant . Assume that and that is a Lipschitz graph in the direction with Lipschitz constant Then is a graph, and its norm is bounded by a constant that depends only on and and .
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