The local structure of the free boundary in the fractional obstacle problem
Matteo Focardi, Emanuele Spadaro

TL;DR
This paper characterizes the local structure of the free boundary in the fractional obstacle problem, extending previous results to more general obstacles and identifying key geometric and measure-theoretic properties.
Contribution
It generalizes the understanding of the free boundary in fractional obstacle problems to non-analytic obstacles, providing detailed geometric and measure-theoretic descriptions.
Findings
Finite Minkowski content of the free boundary
Rectifiability of the free boundary
Classification of blow-ups and frequencies
Abstract
Building upon the recent results in \cite{FoSp17} we provide a thorough description of the free boundary for the fractional obstacle problem in with obstacle function (suitably smooth and decaying fast at infinity) up to sets of null measure. In particular, if is analytic, the problem reduces to the zero obstacle case dealt with in \cite{FoSp17} and therefore we retrieve the same results: (i) local finiteness of the -dimensional Minkowski content of the free boundary (and thus of its Hausdorff measure), (ii) -rectifiability of the free boundary, (iii) classification of the frequencies and of the blow-ups up to a set of Hausdorff dimension at most in the free boundary. Instead, if , , similar results hold only for a distinguished subset of points…
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The local structure of the free boundary in the fractional obstacle problem
Matteo Focardi
DiMaI, Università degli Studi di Firenze Viale Morgagni 67/A, 50134 Firenze (Italy) [email protected]
and
Emanuele Spadaro
Dipartimento di Matematica, Università di Roma La Sapienza P.le Aldo Moro 5, 00185 Rome (Italy) [email protected]
Abstract.
Building upon the recent results in [15] we provide a thorough description of the free boundary for solutions to the fractional obstacle problem in with obstacle function (suitably smooth and decaying fast at infinity) up to sets of null measure. In particular, if is analytic, the problem reduces to the zero obstacle case dealt with in [15] and therefore we retrieve the same results:
- (i)
local finiteness of the -dimensional Minkowski content of the free boundary (and thus of its Hausdorff measure),
- (ii)
-rectifiability of the free boundary,
- (iii)
classification of the frequencies and of the blow-ups up to a set of Hausdorff dimension at most in the free boundary.
Instead, if , , similar results hold only for distinguished subsets of points in the free boundary where the order of contact of the solution with the obstacle function is less than .
Key words and phrases:
Thin obstacle problem, free boundary, rectifiability.
2010 Mathematics Subject Classification:
Primary 35R35, 49Q20.
The authors have been partially funded by the ERC-STG Grant n. 759229 HiCoS “Higher Co-dimension Singularities: Minimal Surfaces and the Thin Obstacle Problem” and by GNAMPA of INdAM.
1. Introduction
Quasi-geostrophic flow models [10], anomalous diffusion in disordered media [4] and American options with jump processes [11] are some instances of constrained variational problems involving free boundaries for thin obstacle problems. In this paper we analyze the fractional obstacle problem with exponent , a problem that can be stated in several ways, each motivated by a different application and suited to be studied with different techniques. We follow here the variational approach: given smooth and decaying sufficiently fast at infinity, one seeks for minimizers of the -seminorm
[TABLE]
, on the cone
[TABLE]
where is the homogeneous space defined as the closure in the seminorm of functions. Existence and uniqueness of a minimizer follow for all if (the case requires some care see [26] and [3]). In addition, defining the fractional laplacian as
[TABLE]
for , the Euler-Lagrange conditions characterize as a distributional solution to the system of inequalities
[TABLE]
The most challenging regularity issues are then that of itself and that of its free boundary
[TABLE]
To investigate the fine properties of the solution of (1.1) the groundbreaking paper by Caffarelli and Silvestre [8] introduces an equivalent local counterpart for the fractional obstacle problem in terms of the so called -harmonic extension argument. Indeed, it is inspired by the case , in which it is nothing but the harmonic extension problem. More precisely, setting for and , it turns out that any function satisfying (1.1) is the trace of a function solving for
[TABLE]
In particular, note that is unique minimizer of the Dirichlet energy
[TABLE]
on the class \widetilde{\mathscr{A}}:=\big{\{}\widetilde{v}\in H^{1}(\mathbb{R}^{n+1},{\rm d}\mathfrak{m}):\,\widetilde{v}(x^{\prime},0)\geq\varphi(x^{\prime})\big{\}}. Viceversa, the trace on the hyperplane of a solution to (1.2) is a solution to (1.1), as for all (cf. [8])
[TABLE]
One then is interested into regularity issues for and for the corresponding free boundary (with a slight abuse of notation we use the same symbol as for the analogous set for ): the topological boundary, in the relative topology of , of the coincidence set of a solution
[TABLE]
The locality of the operator
[TABLE]
in (3.1) is the main advantage of the new formulation to perform the analysis of . Indeed, being it permits the use of monotonicity ùand almost monotonicity type formulas analogous to those introduced by Weiss and Monneau for the classical obstacle problem (cf. [5, 6, 27, 23]).
Optimal interior regularity for has been established Caffarelli, Salsa and Silvestre in [9, Theorem 6.7 and Corollary 6.8] for any (see also [7]). The particular case had been previously addressed by Athanasopoulos, Caffarelli and Salsa in [1]. Instead, despite all the mentioned progresses, the current picture for free boundary regularity theory is still incomplete. In this paper we go further on in this direction and deal with the non-zero obstacle case following the recent achievements obtained in the zero-obstacle case in [15, 16]. Drawing a parallel with the theory in the zero-obstacle case, the free boundary can be split as a pairwise disjoint union of sets:
[TABLE]
termed in the existing literature as the subset of regular, singular and nonregular/nonsingular points, respectively. These sets are defined via the infinitesimal behaviour of appropriate rescalings of the solution itself. More precisely, for a function related to can be conveniently defined (cf. (3.46) and (3.48)) in a way that if
[TABLE]
then the family of functions is pre-compact in (see [9, Section 6]). The limits are called blowups of at , they are homogeneous solutions of a fractional obstacle problem with zero obstacle. The set of all such functions is denoted by . Their homogeneity depends only on the base point and not on the extracted subsequence, and it is called infinitesimal homogeneity or frequency of at . It is indeed the limit value, as the radius vanishes, of an Almgren’s type frequency function related to which turns out to be non decreasing in the radius. Given this, one defines
[TABLE]
According to the regularity of different results are known in literature:
- (i)
Regular points: in [9] for optimal one-sided regularity of solutions is established. Moreover, is shown to be locally a submanifolf of codimension in (non-optimal regularity of the solution had been previously established in [26]);
- (ii)
Singular points: for analytic and it is proved in [17] that is -rectifiable. The latter result has been very recently extended to the full range and to , , in [18]. Furthermore, fine properties of the singular set have been studied very recently by Fernández-Real and Jhaveri [13].
It is also worth mentioning the paper by Barrios, Figalli and Ros-Oton [3], in which the authors study the fractional obstacle problem (1.1) with non zero obstacle having compact support and satisfying suitable concavity assumptions. Under these assumptions, they are able to fully characterize the free boundary, showing that and that at every point of the blowup is quadratic, i.e. the only admissible value of is . In addition, they are able to show that the singular set is locally contained in a single -regular submanifold (see also [7] for the case of less regular obstacles and [12, 20, 21, 22] for higher regularity results on ).
For ease of expositions we start with the simpler case in which the obstacle function is analytic, actually the slightly milder assumption (1.5) below suffices (see Section 3 for related results in the case ). Indeed, after a suitable transformation (see Section 2.1) such a framework reduces to the zero obstacle case since in this setting turns out to be exactly the -harmonic extension of . Thus, in view of [15, Theorems 1.1-1.3] we may deduce the following result.
Theorem 1.1**.**
Let be a solution to the fractional obstacle problem (1.2) with obstacle function such that
[TABLE]
Then,
- (i)
the free boundary has finite -dimensional Minkowski content: more precisely, there exists a constant such that
[TABLE]
where ;
- (ii)
the free boundary is -rectifiable, i.e. there exist at most countably many -regular submanifolds of dimension such that
[TABLE]
Moreover, there exists a subset with Hausdorff dimension at most such that for every the infinitesimal homogeneity of at belongs to .
The analysis is more involved in case is not analytic, since one cannot in principle avoid contact points of infinite order between the solution and the obstacle, and the free boundary can be locally an arbitrary compact set (explicit examples are provided in [14]). In view of this, we follow the existing literature and we consider only those points in the free boundary in which has order of contact with less than : given a solution to the fractional obstacle problem (1.2) and given a constant we set
[TABLE]
where is defined in (3.17) and it is related to the norm of (cf. Section 3 for more details). For this subset of points of the free boundary we can still prove some of the results stated in Theorem 1.1.
Theorem 1.2**.**
Let be a solution to the fractional obstacle problem (1.2) with obstacle function , , and let . Then, is -rectifiable. Moreover, there exists a subset with Hausdorff dimension at most such that for every the infinitesimal homogeneity of at belongs to .
This note extends the results of [15] to the case of nonconstant obstacles. It is clear by the examples of arbitrary compact sets as contact sets of suitable solutions of the problem, that in general the free boundary for nonconstant smooth obstacles does not possess any structure and that the key ingredient for the analysis of the free boundary is the analiticity of the obstacles as shown in Theorem 1.1. Nevertheless, for a subset of the free boundary, characterized as those points of finite order of contact, e.g. the points already considered in the literature (see [18]), a partial regularity still holds even in the framework of non analytic obstacles, as proven in Theorem 1.2. The main novelty of this paper with respect to [15] consists in the analysis of the spatial dependence of the frequency for nonconstant obstacles: indeed, in this case the frequency is defined differently from point to point, by taking into account the geometry of the obstacle itself. It is not at all evident to which extent the oscillation of the frequency can be controlled. The results of Section 4 show that this kind of estimates are not completely rigid and extend to nonflat obstacles. Hence, this paper contributes to the program of broadening the results initially proven for the Signorini problem with zero obstacles to the case of the obstacle problem for the fractional Laplacian (see e.g. [1, 18]), providing a generalization of the known results on the structure of the free boundary firstly proven in [15].
2. Analytic obstacles
In this section we deal with analytic obstacles. We report first on some results related to the Caffarelli-Silvestre -harmonic extension argument that will be instrumental to reduce the analytic type fractional obstacle problem to the lower dimensional obstacle problem. We provide then the proof of Theorem 1.1.
2.1. Extension results
We start off stating a lemma in which it is proved that there exists a canonical -harmonic extension of a polynomial which is a polynomial itself (see [18, Lemma 5.2]). We denote by the finite dimensional vector space of homogeneous polynomials of degree .
Lemma 2.1**.**
For every , there exists a unique linear extension operator such that for every we have
[TABLE]
Proof.
Let and set
[TABLE]
with if and . It is then easy to verify that satisfies all the stated properties. ∎
Remark 2.2*.*
In particular, is a continuous operator, . We will use in what follows that there exists a constant such that for every and for every
[TABLE]
We provide next the main result that reduces locally the analytic case to the zero obstacle case (cf. [18, Lemma 5.1]).
Lemma 2.3**.**
Let be analytic, open. Then for all there exists such that, for every , there exists a function such that
- (i)
* in \mathscr{D}^{\prime}\big{(}B_{r}(x_{0})\big{)};*
- (ii)
* ;*
- (iii)
* is analytic in .*
Proof.
For every as in the statement, we can locally expand in power series as . Then, we set where . From the explicit formulas in the proof of Lemma 2.1 it is easily verified that the power series defining is converging in and gives an analytic -harmonic extension in with uniform on compact sets. ∎
2.2. Proof of Theorem 1.1
Theorem 1.1 follows straightforwardly from [15, Theorems 1.1-1.3]. As explained in the introduction solves the fractional obstacle problem (1.1). By the maximum principle for all . Therefore, . Let be the radius in Lemma 2.3 corresponding to the compact set . By compactness we cover with a finite number of balls , with . In each ball we consider the corresponding function , with provided by Lemma 2.3, and note that it solves a zero lower dimensional obstacle problem (1.2). Hence, we can conclude by the quoted [15, Theorems 1.1-1.3].
3. obstacles
In this section we deal with the more demanding case of obstacles, . It is convenient to reduce the analysis of (1.2) to that of the following localized problem
[TABLE]
for . In what follows, we shall assume that . This assumption can be easily matched by a simple scaling argument (cf. the proof of Theorem 1.2).
For any we denote by the Taylor polynomial of of order at :
[TABLE]
where , , , and . In what follows we will repeatedly use that (recall that )
[TABLE]
and
[TABLE]
for all unit vectors such that .
Let then \mathscr{E}\big{[}T_{k,x_{0}}[\varphi]\big{]} be the -harmonic extension of , namely
[TABLE]
where are the extension operators in Lemma 2.1. By the translation invariance of the operator, we point out that
[TABLE]
Set
[TABLE]
and
[TABLE]
Recalling that \mathscr{E}\big{[}T_{k,x_{0}}[\varphi]\big{]}(x^{\prime},0)=T_{k,x_{0}}[\varphi](x^{\prime}), then , and thus in particular , where is the relative boundary in the hyperplane . We note that is not a solution of a fractional obstacle problem as in (3.1) with null obstacle, but rather of a related obstacle problem with drift as discussed in what follows (cf. (3.14)).
First, from the regularity assumption on , from Lemma 2.1 and from estimate (3.2) we infer that is a function in (recall the definition of the operator given in (1.3)). Moreover, estimate (3.2) gives for all
[TABLE]
In turn, this yields that the distribution is given by the sum of a function in and of a non-positive measure supported on , namely,
[TABLE]
The following result resumes the regularity theory developed by Caffarelli, Salsa and Silvestre in [9, Proposition 4.3].
Theorem 3.1**.**
Let be a solution to the fractional obstacle problem (3.1) in , , , then , for , and for all . Moreover, there exists a constant such that
[TABLE]
where is the horizontal gradient.
In particular, the function is analytic in \big{\{}x_{n+1}>0\big{\}} (see, e.g., [19]) and the following boundary conditions holds:
[TABLE]
In particular,
[TABLE]
Furthermore, for and , an integration by parts implies that
[TABLE]
where in the second equality we have used that is even with respect to the hyperplane to deduce that
[TABLE]
In particular, since the last addend in (3) only depends on the boundary values of , it follows that is a minimizer of the functional
[TABLE]
among all functions and satisfying on . Equivalently, we will say that is a local minimizer of the functional in (3.14) subject to null obstacle conditions.
Remark 3.2*.*
We record here some bounds that shall be employed extensively in what follows. By using the linearity and continuity of the extension operator (cf. Remark 2.2), together with estimate (3.2) we get for all
[TABLE]
for some constant . Since \nabla\big{(}T_{k,x_{i}}[\varphi]\big{)}=T_{k-1,x_{i}}[\nabla\varphi], , arguing as above, using (3.3) rather than (3.2), we conclude that
[TABLE]
for some constant .
3.1. A frequency type function
Building upon the approach developed in [15] we consider a quantity strictly related to Almgren’s frequency function and instrumental for developing the free boundary analysis in the subsequent sections. Let be defined by
[TABLE]
then given the solution to (3.1), a point and the corresponding function in (3.6), we define for all
[TABLE]
where
[TABLE]
and
[TABLE]
Here indicates the derivative of . Clearly, is well-defined as long as , in what follows when writing we shall tacitly assume that the latter condition is satisfied.
For later convenience, we introduce also the notation
[TABLE]
and
[TABLE]
In particular, note that for all
[TABLE]
by Cauchy-Schwarz inequality.
Remark 3.3*.*
In case , then for all and . Thus, boils down to the variant of Almgren’s frequency function used in [15].
Remark 3.4*.*
If is a solution to the fractional obstacle problem (3.1), then for every , and such that , the function solves (3.1) on with obstacle function . Therefore, if we have and . Thus, for every .
In particular, this shows that the frequency function is scaling invariant, in the sequel we will use this property repeatedly.
3.2. Almost monotonicity of at distinguished points
In this subsection we prove the quais-monotonicity of for a suitable subset of points of the free boundary. We prove first some useful identities in a generic point of .
Lemma 3.5**.**
Let be a solution to the fractional obstacle problem (3.1) in . Then, for all and , it holds
[TABLE]
Remark 3.6*.*
With an abuse of notation, the integration in the last addends in (3.19) and (3.21) is meant with respect to the reference measure . Actually, we use this notation because from the proofs of (3.19) and (3.21) it turns out that one can consider equivalently its absolutely continuous part .
Proof.
To show (3.19), (3.20) and (3.21), we assume without loss of generality that .
For (3.19) we consider the vector field V(x):=\phi\big{(}\textstyle{\frac{|x|}{t}}\big{)}\,{u_{\underline{0}}}(x)\,\nabla{u_{\underline{0}}}(x)\,|x_{n+1}|^{a}. Clearly, has compact support and . Moreover, for
[TABLE]
so that . Indeed, recalling that is even with respect to the hyperplane (cf. Lemma 2.1): if we exploit the regularity of resumed in Theorem 3.1 to conclude; instead, if it suffices to use (3.10). Thus, the distributional divergence of is the function given by
[TABLE]
Therefore, (3.19) follows from the divergence theorem by taking into account that is compactly supported.
Next, (3.20) is a consequence of (3.19) and the direct computation
[TABLE]
Finally, to prove (3.21) we consider the compactly supported vector field defined by
[TABLE]
Moreover, conditions (3.10)-(3.12) and Lemma 2.1 imply that . Thus, has no singular part in , and we can compute pointwise the distributional divergence as follows for
[TABLE]
Therefore, we infer that
[TABLE]
and we conclude (3.21) by direct differentiation since
[TABLE]
As a consequence we derive a first monotonicity formula for in .
Corollary 3.7**.**
Let be a solution to the fractional obstacle problem (3.1). Then, for all and such that for all , we have
[TABLE]
In particular, if for every , then
[TABLE]
Moreover, for all and
[TABLE]
Proof.
The proof of (3.22) (and hence of (3.23) and (3.24)) follows from the differential equation in (3.20). The proof of (3.25) is a simple consequence of a dyadic integration argument:
[TABLE]
where in the last inequality we used that for by (3.24) (with ). ∎
We establish next an auxiliary lemma containing useful bounds for some quantities related to the -norm of , for points in the contact set.
Lemma 3.8**.**
Let be a solution to the fractional obstacle problem (3.1) in . Then, there is a positive constant such that for every point we have for all
[TABLE]
[TABLE]
and
[TABLE]
Proof.
By the co-area formula for Lipschitz functions we check that
[TABLE]
and
[TABLE]
Therefore, an integration by parts gives
[TABLE]
By (3.8), as , [9, Lemma 2.13] and [18, Lemma 6.3] yield the Poincaré inequality
[TABLE]
with . Integrating the latter inequality on we find (3.26) in view of (3.30). Instead, by first multiplying formula (3.31) by and then integrating over , we infer
[TABLE]
In conclusion, (3.27) and (3.28) follow directly. ∎
Next we show an explicit expression for the radial derivative of at all points . We follow here [15, Proposition 2.7].
Proposition 3.9**.**
Let be a solution to the fractional obstacle problem (3.1) in . Then, if is such that for all , we have
[TABLE]
for , with
[TABLE]
and .
Proof.
It is not restrictive to assume . We use the identities in (3.19), (3.20) and (3.21) to compute (the lenghty details are left to the reader)
[TABLE]
where
[TABLE]
From this we conclude (3.32) straightforwardly.
For (3.33), we estimate separately each term appearing in the integral defining . We start with
[TABLE]
with . Arguing similarly we infer
[TABLE]
and
[TABLE]
with . Therefore, (3.33) follows at once from (3.2)-(3.2). ∎
Estimate (3.33) turns out to be useful to analyze the subsets of points of , for every (cf. (1.8)). With fixed , we then look at points of the free boundary in the subset
[TABLE]
where is any.
Remark 3.10*.*
Note that if . Hence, in what follows it is enough to consider the values of small enough.
Proposition 3.11**.**
For every , there exist such that for every , the function is nondecreasing. In particular, the ensuing limits exist finite and are equal
[TABLE]
Proof.
Since , formula (3.26) yields for
[TABLE]
therefore, for sufficiently small, we have for all
[TABLE]
In addition, from (3.19) and (3.2) we get for all , if small enough,
[TABLE]
Therefore, from (3.33), if is sufficiently small, we get for all ,
[TABLE]
Hence, from (3.18), (3.32) and (3.2) we find
[TABLE]
and the monotonicity of follows by direct integration. In addition, we also infer (3.38), because from (3.2) for all we have
[TABLE]
∎
Remark 3.12*.*
The monotonicity for the truncated Almgren’s frequency function
[TABLE]
proved in [9] and [18] is essentially equivalent to Proposition 3.11.
We derive next an additive quasi-monotonicity formula for the frequency.
Corollary 3.13**.**
For every , there exist , with this property: if and , then for all the function
[TABLE]
Proof.
Under the standing assumptions, the quasi-monotonicity of and (3.42) yield that
[TABLE]
for sufficiently small. Hence, we conclude (3.44) at once by integration. ∎
3.3. Lower bound on the frequency and compactness
We first show that the frequency of a solution to (3.1) at points in is bounded from below by a universal constant.
Lemma 3.14**.**
For every there exists such that, for all and ,
[TABLE]
Proof.
In view of (3.26) and since , we have for all sufficiently small,
[TABLE]
Inequality (3.45) is a straightforward consequence of estimate (3.43) and the latter estimate provided that is sufficiently small. ∎
For the free boundary analysis developed in [15] it is mandatory to consider the critical set of a solution. In the current framework, the natural subsitute for the critical set is given by
[TABLE]
Notice that (the first inclusion is a consequence of (3.10)).
We can then give the following compactness result. For solution of (3.1) and we introduce the rescalings
[TABLE]
Note that is a minimizer of the functional
[TABLE]
with obstacle function
[TABLE]
among all functions satisfying on .
Corollary 3.15**.**
Let be given. Let be a sequence of solutions to the fractional obstacle problem (3.1) in with obstacle functions equi-bounded in , and let be such that , for some .
Then, there exist a subsequence and a solution to the fractional obstacle problem (3.1) in with null obstacle function, such that on setting we have
[TABLE]
Proof.
By taking into account inequality (3.43) in Proposition 3.11 we get for large
[TABLE]
In particular, we infer that . Thus, a subsequence converges weakly to some function . Moreover, is a local minimizer of
[TABLE]
among all functions satisfying on (cf. (3.46)-(3.47)).
By taking into account that , inequality (3) implies that for all
[TABLE]
Therefore, one can easily show that the sequence -converges to the functional defined by
[TABLE]
if with on , and otherwise on . In addition, being the ’s equicoercive in , , so that by (3.53) the convergence of to is actually strong .
Items (3.50)-(3.52) are then a straightforward consequence of Theorem 3.1 and (3.53) (cf. the arguments in [9, Lemma 6.2]). ∎
A sharp lower bound on the frequency then follows.
Corollary 3.16**.**
Let . If , then
[TABLE]
Proof.
Note that , for some homogeneous solution to the fractional obstacle problem (3.1) with null obstacle function provided by Corollary 3.15. Thus, we conclude (3.54) by [9, Proposition 5.1] (see also [15, Corollary 2.12]). ∎
4. Main estimates on the frequency
In this section we prove the principal estimates on the frequency that we are going to exploit in the sequel. We start with an elementary lemma. Recall that all obstacles functions are assumed to satisfy the normalization condition .
Lemma 4.1**.**
Let . Then, there exist , such that, if is a solution of to the fractional obstacle problem (3.1) in , with and , , then for every
[TABLE]
Remark 4.2*.*
Note that as a byproduct of the first estimate in (4.1) in Lemma 4.1 frequencies at the scale are well-defined at every point , recalling that .
Proof.
In order to prove (4.1), we argue by contradiction: we can assume that there exist and solutions to the fractional obstacle problem with obstacles , , with , such that , for some , and there exist points contradicting one of the sets of inequalities in (4.1).
In particular, by almost monotonicity of the frequency function (cf. Proposition 3.11) and the lower bound on the frequency (cf. Corollary 3.16) we infer that for all . By Corollary 3.15, up to a subsequence, converges strongly in to a function solution of the fractional obstacle problem in with zero obstacle function. We assume in addition that .
To prove the first set of inequalities in (4.1), we compute
[TABLE]
Moreover, by estimate (3.2) in Remark 3.2 and since we get for all
[TABLE]
Therefore, recalling that , from (4.4) we infer
[TABLE]
Since , by contradiction . Moreover, by (4) and (4.5), by the strong and local uniform convergence of we conclude that,
[TABLE]
Being the left hand side finite, necessarily
[TABLE]
Hence, on , and thus on the whole of by analiticity. A contradiction to that follows from strong convergence and the equality for all .
The second set of inequalities in (4.1) is proven by the same argument. Indeed, assuming that we have
[TABLE]
and sinceby (3.16) in Remark 3.2 and by (3.39)
[TABLE]
we get (recall )
[TABLE]
By the strong convergence of to in , we infer that the left hand side is finite and then actually [math], so that
[TABLE]
Thus, by analiticity is constant on , and we may conclude that
[TABLE]
The latter equality contradicts
[TABLE]
that follows from strong convergence and recalling that and for big enough (cf. (3.43)).
Finally, (4.2) follows straightforwardly from (4.1) for sufficiently small by taking into account (3.43):
[TABLE]
We introduce next the following notation for the radial variation of (modified) frequency at a point of a solution in : given , we set
[TABLE]
Note that, if , if is sufficiently small and if (cf. Corollary 3.13). We do not indicate the dependence of on since such a parameter will be fixed appropriately in the next result.
Lemma 4.3**.**
Let . Then, there exist and such that, if , and , with , then for every we have
[TABLE]
Proof.
Without loss of generality we prove the result for . We start off with the following computation:
[TABLE]
We now use the following integral estimate (whose elementary proof is left to the readers)
[TABLE]
a measurable function, in order to deduce
[TABLE]
In the last inequality we have used that, if is sufficiently small, then for all by (3.24), and that \frac{{\rm d}}{{\rm d}t}\big{(}I_{u_{\underline{0}}}(t)\big{)}-R_{u_{\underline{0}}}(t)\geq 0 thanks to (4). Moreover, estimate (3.2) in Proposition 3.11, , the quasi-monotonicity of the frequency function and the choice imply
[TABLE]
Hence, from (4) we conclude that
[TABLE]
where we used that , and . ∎
4.1. Oscillation estimate of the frequency
The following lemma shows how the spatial oscillation of the frequency in two nearby points at a given scale is in turn controlled by the radial variations at comparable scales.
Proposition 4.4**.**
Let . Then there exist , such that if , with , then
[TABLE]
for every .
Proof.
We start off noting that by Remark 4.2 and the choice , if the constant is suitably chosen, a simple scaling argument yields that is well-defined for every .
To ease the readability of the proof we divide it in several substeps.
1. With fixed , let , , and consider the map . The differentiability of the functions and yields that
[TABLE]
Set , then ; and set for all
[TABLE]
Recalling the very definition of in (3.6), it turns out that
[TABLE]
because by linearity (the details of the elementary computations are left to the readers)
[TABLE]
and
[TABLE]
Morever, from the very definition of in (3.6) it is straightforward to prove that
[TABLE]
Thus, from (4.11) and the latter equality, by direct calculation it follows that
[TABLE]
and thus we may conclude that
[TABLE]
Moreover, note also that
[TABLE]
2. Thanks to the previous formulas, for all we infer
[TABLE]
In addition, integrating by parts gives
[TABLE]
Then, by formula (3.19) together with (4.1) and (4.1), we have that
[TABLE]
In what follows we estimate separately the two terms .
3. We start off with . With this aim, first note that by Proposition 3.11 since , provided the latter is small enough. In turn, as , by (4.2) in Lemma 4.1 we infer that .
We estimate separately the factors of the integrand defining (setting ). We start off with the first one as follows
[TABLE]
with . Moreover, by choosing , we infer
[TABLE]
Using inequalities (3.2)-(3.16) in Remark 3.2, we estimate the last two addends as follows
[TABLE]
for some constant , for . In the last inequality we have used that , being . Therefore, we have
[TABLE]
For the second factor, we note that for
[TABLE]
To estimate the last three addends we have used the very definition of in (3.6), formula (4.2) and inequalities (3.2)-(3.16) in Remark 3.2, taking into account that being . Therefore, we get
[TABLE]
By collecting (4.1) and (4.18), using Hölder inequality we conclude that there exists
[TABLE]
Clearly, we have that
[TABLE]
In the second inequality, we have used that for , and that as , . Moreover, in the third inequality we have applied estimate (4.6) in Lemma 4.3 to , with and . Furthermore, thanks to Corollary 3.7, we conclude
[TABLE]
In addition, thanks to (3.25) and we get
[TABLE]
By collecting (4.1)-(4.1) we conclude that for some
[TABLE]
where, in the last inequality, we have used Lemma 4.1 and that .
Finally, in view of the very definition of the spatial oscillation of the frequency and Corollary 3.13, we deduce for some constant depending on that
[TABLE]
4. We estimate next . We start off noting that for all (cf. (3.3))
[TABLE]
Then, arguing as in (4.4), thanks to estimate (3.2) in Remark 3.2, we get as
[TABLE]
In addition, (3.8) and (4.13) yield
[TABLE]
Therefore, by applying repeatedly Lemma 4.1, by taking into account (3.43) and by choosing sufficiently small, we infer that
[TABLE]
since .
The conclusion in (4.10) follows at once from estimates (4.22) and (4.1). ∎
5. Proof of the main result
5.1. Mean-flatness
Here we show a control of the Jones’ -number by the oscillation of the frequency. Given a Radon measure in , for every and for every , we set
[TABLE]
where the infimum is taken among all affine -dimensional planes .
If and is such that , set the barycenter of in , i.e.
[TABLE]
and
[TABLE]
Then
[TABLE]
where are the eigenvalues of the positive semidefinite bilinear form .
Proposition 5.1**.**
Let . Then there exist constants , with this property. Let , and . Let be a finite Borel measure with . Then, for all points , we have
[TABLE]
Proof.
The proof is a variant of the [15, Proposition 4.2], which in turn follows closely the original arguments by Naber and Valtorta in [24, 25], therefore we only highlight the main differences.
Without loss of generality assume that is such that (otherwise, there is nothing to prove). Let be any diagonalizing basis for the bilinear form introduced in § 5.1, with corresponding eigenvalues .
Since , we may assume that , , so that by (5.2). Clearly, we may also assume that .
From the very definitions of and of its barycenter we deduce
[TABLE]
where
[TABLE]
Next we estimate the two sides of (5.1).
For estimating the left hand side of (5.1), we can show by compactness that
[TABLE]
Here we use the same contradiction argument in [15, Proposition 4.2] using the compactness given by Corollary 3.15.
For what concerns the right hand side of (5.1) we proceed as follows. By the triangular inequality we have that
[TABLE]
The addends and can be treated as in [15, Proposition 4.2]. Indeed, for we use Lemma 4.1 and Lemma 4.3 for a suitable choice of the constants to get
[TABLE]
For we use Jensen’s inequality, Proposition 4.4, Fubini’s Theorem, inequality (3.25) and (4.1) in Lemma 4.1 to get
[TABLE]
Note that the extra term with respect to [15, Proposition 4.2] arises as a consequence of the additional error term in Proposition 4.4.
To estimate in (5.1) we first note that \nabla\big{(}T_{k,x}[\varphi]\big{)}=T_{k-1,x}[\nabla\varphi]. Then, we use estimates (3.2) and (3.16) in Remark 3.2 to deduce that for all and we have
[TABLE]
Therefore, integrating the last estimate we conclude that
[TABLE]
We can now collect the estimates (5.5)–(5.9) and use Corollary 3.13 to get
[TABLE]
Finally, by assumption , then (cf. Proposition 3.11, Corollary 3.16 and the choice ), so that the upper inequality in (3.43) yields (5.3). ∎
5.2. Rigidity of homogeneous solutions
In this section we extend the results on the rigidity of almost homogeneous solutions established in [15].
We denote by the space of all non-zero -homogeneous solutions to the thin obstacle problem (3.1) with zero obstacle,
[TABLE]
and set . The spine of is the maximal subspace of invariance of ,
[TABLE]
As observed in [15], the maximal dimension of the spine of a function in is at most and we set if and , and . All functions in are classified in [15, Lemma 5.3]. Note also that by Caffarelli, Salsa and Silvestre [9]
[TABLE]
We next introduce the notion of almost homogeneous solutions. Given and we set
[TABLE]
Definition 5.2**.**
Let and let be a solution to thin obstacle problem (3.1) with obstacle (as usual ). Assume that and , is called -almost homogeneous in if
[TABLE]
The following lemma justifies this terminology and it is the analog of [15, Lemma 5.5].
Lemma 5.3**.**
Let . There exists with the following property: for every there exists such that, if is a -almost homogeneous solution of (3.1) in with and obstacle , and , then
[TABLE]
for some homogeneous solution .
Proof.
The proof follows by a contradiction argument similar to [15, Lemma 5.5]. Assume that for some we could find sequences of numbers and of -almost homogeneous solutions of (3.1) in , with arbitrarily small, such that and
[TABLE]
and satisfying the bounds .
Consider , then by Corollary 3.15 applied to there would be a subsequence, not relabeled, converging in to a solution of the thin obstacle problem with zero obstacle. By Proposition 3.11 there is some independent of such that for all , then from (3.23) in Corollary 3.7 we would infer that
[TABLE]
in turn implying that is not zero. On the other hand, we would also get
[TABLE]
and thus we would conclude that being a solution to the lower dimensional obstacle problem with constant frequency (see for instance [15, Proposition 2.7]). We have thus contradicted (5.12). ∎
A rigidity property of the type shown in [15, Proposition 5.6] holds for the non-zero obstacle problem.
Proposition 5.4**.**
Let . There exists with this property. For every there exists such that, if is a -almost homogeneous solution of (3.1) in with and obstacle , and , then the following dichotomy holds:
- (i)
either for every point we have
[TABLE]
- (ii)
or there exists a linear subspace of dimension such that
[TABLE]
Proof.
The proof proceeds by contradiction and follows the strategy developed in [15, Proposition 5.6]. Let be given constants and assume that there exist and a sequence of -almost homogeneous solutions in such that , and such that:
- (i)
there exists for which
[TABLE]
- (ii)
for every linear subspace of dimension there exists (a priori depending on ) such that
[TABLE]
We consider the rescaled functions . By the compactness result in Corollary 3.15 we deduce that, up to passing to a subsequence (not relabeled), there exists a nonzero function solution to the thin obstacle problem (3.1) in with null obstacle such that in . Moreover, thanks to Lemma 5.3.
If , then (5.15) is contradicted. Indeed, up to choosing a further subsequence, we can assume that . Note that the points , as , so that
[TABLE]
In addition, by (3.10) and being \mathscr{E}\big{[}T_{k,\underline{0}}[\varphi_{l}]\big{]} even with respect to (cf. Lemma 2.1), for all we infer that
[TABLE]
Hence, we conclude that in view of (3.52). Moreover, by taking into account the very definition of and Remark 3.4 we get by scaling
[TABLE]
which is a contradiction to the constancy of the frequency at critical points of the homogeneous solution (see [15, Lemma 5.3]). The fourth equality is justifed by taking into account that (cf. (3.37) and (3.39)), and in view of estimates (3.2) and (3.16) in Remark 3.2, in turn implying for all (recall that )
[TABLE]
Moreover, (3.43) can be employed in the last two equalities as .
Instead, if , we show a contradiction to (5.16) with any -dimensional subspace containing . Indeed, let be as in (5.16) for such a choice of . By compactness, up to passing to a subsequence (not relabeled), for some with . In addition, arguing as before
[TABLE]
Again, note that (3.43) can be employed since . By [15, Proposition 2.7, Lemma 5.2] it follows that , thus contradicting and . ∎
5.3. Proof of Theorem 1.2
We start off noting that it suffices to prove that satisfies all the conclusions for all . For all , we can find a finite number of balls , for , whose union cover . We shall choose appropriately in what follows. Moreover, with fixed , by horizontal translation we may reduce to without loss of generality.
Then, recalling the definition of in (1.8) we have that
[TABLE]
where
[TABLE]
Hence, we may establish the result for with fixed.
Next, note that as , the function
[TABLE]
solves the fractional obstacle problem (3.1) in with obstacle function . Moreover, \Gamma_{\widetilde{\varphi},\theta}(\widetilde{u})\cap B_{\nicefrac{{1}}{{2}}}^{\prime}=\frac{1}{R}\big{(}\Gamma_{\varphi,\theta}(u)\cap B_{\nicefrac{{R}}{{2}}}^{\prime}\big{)}, with if , being . Thus, we get that if and only if . In addition, it is easy to check that
[TABLE]
We choose sufficiently small so that and the smallness conditions on the radii in all the statements of Sections 3-5 are satisfied.
In such a case the proof, of the main results can be obtained by following verbatim [15, Sections 6–8]. Indeed, [15, Proposition 6.1], that leads both to the local finiteness of the Minkowskii content of and to its -rectifiability, is based on a covering argument that exploits the lower bound on the frequency in Corollary 3.16, the control of the mean oscillation via the frequency in Proposition 5.1, the rigidity of almost homogeneous solutions in Proposition 5.4, the discrete Reifenberg theorem by Naber and Valtorta [24, Theorem 3.4, Remark 3.9], and the rectifiability criterion either by Azzam and Tolsa [2] or by Naber and Valtorta [24, 25]. Therefore, the only extra-care needed in the current setting is to start the covering argument from a scale which is small enough to validate the conclusions of the lemmas and propositions of the previous sections.
Finally, the classification of blow-up limits is exactly that stated in [15, Theorem 1.3], and proved in [15, Section 8], in view of Lemma 3.14 and Corollary 3.15.
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