Startseite Regularity results for p-Laplacians in pre-fractal domains
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Regularity results for p-Laplacians in pre-fractal domains

  • Raffaela Capitanelli ORCID logo EMAIL logo , Salvatore Fragapane und Maria Agostina Vivaldi ORCID logo
Veröffentlicht/Copyright: 14. Juni 2018

Abstract

We study obstacle problems involving p-Laplace-type operators in non-convex polygons. We establish regularity results in terms of weighted Sobolev spaces. As applications, we obtain estimates for the FEM approximation for obstacle problems in pre-fractal Koch Islands.

1 Introduction

In this paper, we deal with obstacle problems involving p-Laplace-type operators in bad domains in 2 . This kind of problems occurs in many mathematical models of physical processes: nonlinear diffusion and filtration, power-law materials and quasi-Newtonian flows (see, for example, [17] and references therein).

Let Ω ω denote a conical domain (see Section 2 for definitions and properties) and let us consider the two obstacle problem:

(1.1) find  u 𝒦  such that a p ( u , v - u ) - Ω ω f ( v - u ) 𝑑 x 𝑑 y 0 for all  v 𝒦 ,

where

a p ( u , v ) = Ω ω ( k 2 + | u | 2 ) p - 2 2 u v d x d y

and

𝒦 = { v W 0 1 , p ( Ω ω ) : φ 1 v φ 2  in  Ω ω } .

Then, under natural assumptions (see (2.2)), there exists a unique function u that solves problem (1.1). Properties of first-order derivatives have been established by Li and Martio in [25] and by Lieberman in [27] (see also the references quoted there). In this paper, we face the study of the regularity of the second-order derivatives. To our knowledge, for p > 2 there are no second-order L 2 regularity results concerning obstacle problems even if the differentiability of the data and the smoothness of the boundary are assumed; in particular, recent results by Brasco, Santambrogio [5] and by Mercuri, Riey, Sciunzi [29] do not seem to work for obstacle problems. Global regularity results in terms of Sobolev (or Besov) spaces with smoothness index greater than 1 are up to now only established for solutions of obstacle problems for p = 2 (see [11]).

In this paper, we establish a regularity result for the solution of obstacle problem (1.1) in terms of the weighted Sobolev spaces, where the weight is the distance from the conical point (see Theorem 3.1). In our approach, the Lewy–Stampacchia inequality (see Proposition 2.2) plays a crucial role. We note that this result is new not only for obstacle problems but also in the case of Dirichlet problems. In fact, there is a huge literature about the regularity in the Hölder classes for both the solution u and the gradient u (see [22] and the references quoted there), while the smoothness of the second derivatives is little investigated in such type of irregular domains. Actually, on this topic we have only the contributions by Borsuk and Kondratiev [4] and by Cianchi and Maz’ya [16]. More precisely, Borsuk and Kondratiev (see [4, Theorems 8.43, 8.44, 8.46]) deal with Dirichlet problems in conical domains, but they require a stronger assumption of the datum and prove a weaker regularity. In particular, the exponent of the weight in [4] is greater than the one in our paper (see (3.2)). On the other side, Cianchi and Maz’ya (see [16, Theorem 2.4]) deal with Dirichlet problems in domains that either satisfy [16, condition (2.12)]) or are convex: here the domain Ω ω is not convex and Ω ω does not satisfy [16, condition (2.12)]. Actually, we use some ideas from [16] in order to obtain local estimates and estimates far away from the conical point. We note that in this part the boundedness of the data (f and A p ( φ i ) , i = 1 , 2 ) is not required, but only the belonging to L 2 ( Ω ω ) (see Theorems 3.6 and 3.7). To establish estimates near the conical point we follow the approach of Tolksdorf [34] and Dobrowolski [19].

In the present paper, we prove also the boundedness of the gradient far away from the conical point (see Theorem 4.3). Essential tools are some results by Tolksdorf [34], Cianchi and Maz’ya [15] and Barret and Liu [2] (for k = 0 ).

We think that the established results are interesting in themselves and also from the point of view of numerical analysis. In fact, as is well known, the regularity results are crucial tools to establish error estimates for the FEM approximation (see, for instance, [6, 8]). To face the numerical approach of the solutions of obstacle problems in fractal domains, it is natural to consider the solutions of obstacle problems in pre-fractal approximating domains and the corresponding FEM-solutions and to evaluate the approximation error. In this spirit, we apply Theorems 3.1 and 4.3 in the study of the obstacle problems in pre-fractal Koch Islands. More precisely, in Theorem 5.5 we prove a sharp error estimate for the FEM approximations using the sharp approach of Grisvard [20]. We remark that for p = 2 Theorem 5.5 gives the sharp result of Grisvard (see [20, Corollary 8.4.1.7]). Moreover, Theorem 5.5 improves the results of [12]: in particular, estimate (5.11) gives a faster convergence than the convergence in [12, estimate (5.63)].

The plan of the paper is the following. In Section 2, we describe the geometry of our domain, we introduce the obstacle problems and we state existence, uniqueness, energy estimates, the Lewy–Stampacchia inequality and a first regularity result for the solutions in terms of the Besov spaces. In Section 3, we establish our main result in terms of the weighted Sobolev spaces. In Section 4, we establish some further results concerning the boundedness of the gradient. In the last section, we show an application of these estimates.

2 Preliminary

Let Ω ω denote a plane domain with a polygonal boundary Ω ω union of a finite number N of linear segments Γ j numbered according to the positive orientation. We denote by ω j the angle between Γ j and Γ j + 1 and we assume that ω j < π for any j < N and ω N = ω > π . For simplicity, we assume that the corner point between Γ N and Γ 1 is the origin and that Γ 1 is included in the positive abscissa axis.

We consider the two obstacle problem:

(2.1) find  u 𝒦  such that a p ( u , v - u ) - Ω ω f ( v - u ) 𝑑 x 𝑑 y 0 for all  v 𝒦 ,

where

a p ( u , v ) = Ω ω ( k 2 + | u | 2 ) p - 2 2 u v d x d y , k ,

and

𝒦 = { v W 0 1 , p ( Ω ω ) : φ 1 v φ 2  in  Ω ω } .

By using the Poincaré inequality (see, e.g., [28]), the monotonicity properties of the p-Laplacian and choosing v = φ 2 ( φ 1 0 ) as test function in (2.1), we can prove the following result.

Proposition 2.1.

Let

(2.2) { f W - 1 , p ( Ω ω ) , 1 p + 1 p = 1 , φ i W 1 , p ( Ω ω ) , i = 1 , 2 , φ 1 φ 2 in  Ω ω , φ 1 0 φ 2 in  Ω ω .

Then there exists a unique function u that solves problem (2.1). Moreover,

(2.3) u W 1 , p ( Ω ω ) C { f W - 1 , p ( Ω ω ) + φ 1 W 1 , p ( Ω ω ) + φ 2 W 1 , p ( Ω ω ) + | k | } .

From now on, we denote by C possibly different constants.

We recall that the solution u to problem (2.1) realizes the minimum on the convex 𝒦 of the functional

J p ( u ) = min v 𝒦 J p ( v ) , where J p ( v ) = 1 p Ω ω ( k 2 + | v | 2 ) p 2 𝑑 x 𝑑 y - Ω ω f v 𝑑 x 𝑑 y .

Now we introduce the Lewy–Stampacchia inequality that plays an important role in our approach to the regularity of the solution. We set

A p ( u ) = - div ( ( k 2 + | u | 2 ) p - 2 2 u ) .

Proposition 2.2.

We assume hypothesis (2.2) and

(2.4) f , A p ( φ i ) L p ( Ω ω ) , i = 1 , 2 , 1 p + 1 p = 1 .

Let u be the solution of (2.1). Then

(2.5) A p ( φ 2 ) f A p ( u ) A p ( φ 1 ) f in  Ω ω .

The Lewy–Stampacchia inequality was first proved in [24] for superharmonic functions which solve a minimum problem, the proof being deeply based on the properties of the Green function. This result has been extended to more general (linear) operators and more general obstacles by Mosco and Troianiello in [31], and for T-monotone operators like the p-Laplacian in [30]. Actually, inequalities (2.5) hold under assumptions weaker than (2.4) according to [36, Remark 1 in Chapter 4.5].

Proposition 2.3.

We assume hypotheses (2.2) and (2.4). Then the solution u of problem (2.1) is the solution of the Dirichlet problem

(2.6) { A p ( u ) = f * in  Ω ω , u = 0 in  Ω ω ,

where f * belongs to the space L p ( Ω ω ) and

f * L p ( Ω ω ) C { f L p ( Ω ω ) + A p ( φ 1 ) L p ( Ω ω ) + A p ( φ 2 ) L p ( Ω ω ) } .

By using the Lewy–Stampacchia inequality and [32, Theorem 2], we stated in [12] for k = 0 the following regularity result in terms of Besov spaces; the case k 0 can be treated analogously. We recall a characterization of Besov spaces

B p , q 1 - λ ( Ω ω ) := ( W 1 , p ( Ω ω ) , L p ( Ω ω ) ) λ , q ,
B p , q 2 - λ ( Ω ω ) := ( W 2 , p ( Ω ω ) , W 1 , p ( Ω ω ) ) λ , q = { u W 1 , p ( Ω ω ) : u B p , q 1 - λ ( Ω ω : 2 ) } ,

where λ [ 0 , 1 ] , p , q [ 1 , + ] and ( , ) λ , q is the real interpolation functor (see [3]).

Theorem 2.4.

We assume hypotheses (2.2) and (2.4). Let u be the solution of (2.1). Then u belongs to the Besov space B p , + 1 + 1 / p ( Ω ω ) . Moreover,

u B p , + 1 + 1 / p ( Ω ω ) C { 1 + f L p ( Ω ω ) p / p + A p ( φ 1 ) L p ( Ω ω ) p / p + A p ( φ 2 ) L p ( Ω ω ) p / p } .

Note that, putting p = 2 in the previous theorem, we get u H 3 / 2 - ϵ ( Ω ω ) in the Sobolev scale. We point out that the previous result is, in some sense, the best possible as it holds for any value of ω ( π , 2 π ) , and as ω 2 π , the domain becomes very bad.

A natural question is then if we can expect sharper regularity results if we consider a fixed value of ω. Having in mind the by now classical results of Kondratiev (see [21]), we think that the natural spaces to study regularity properties in non-convex polygons are the weighted Sobolev spaces of which we now recall the definition.

Let L 2 , μ ( Ω ω ) be the completion of the space C ( Ω ¯ ω ) with respect to the norm

v L 2 , μ ( Ω ω ) = { Ω ω | v | 2 ρ 2 μ 𝑑 x } 1 / 2 ,

where ρ denotes the distance function from the origin.

The weighted Sobolev space

H 2 , μ ( Ω ω ) = { v W 1 , 2 ( Ω ω ) : D β v L 2 , μ ( Ω ω )  for all  | β | = 2 } , β = ( β 1 , β 2 ) , β 1 , β 2 { 0 } ,

is a Hilbert space with the norm

v H 2 , μ ( Ω ω ) = { | β | = 2 D β v L 2 , μ ( Ω ω ) 2 + v W 1 , 2 ( Ω ω ) 2 } 1 / 2 .

In the next section, we state our regularity result in terms of weighted Sobolev spaces.

3 Main result

In this section, we state our regularity result in terms of weighted Sobolev spaces.

Theorem 3.1.

Assume hypotheses (2.2) and

(3.1) { k 0 , f , A p ( φ i ) L ( Ω ω ) , i = 1 , 2 , A p ( φ 2 ) f 0 .

Then the solution u of obstacle problem (2.1) in Ω ω belongs to the weighted Sobolev space

(3.2) H 2 , μ ( Ω ω ) , μ > 1 - γ ,

where

(3.3) γ = γ ( p , χ ) = 1 + p ( 1 - χ ) 2 + ( 1 - χ ) p 2 - χ ( 2 - χ ) ( p - 2 ) 2 2 χ ( 2 - χ ) ( p - 1 )

with χ = ω π .

Moreover,

(3.4) u H 2 , μ ( Ω ω ) C { 1 + f L ( Ω ω ) + A p ( φ 1 ) L ( Ω ω ) + A p ( φ 2 ) L ( Ω ω ) } .

We note that γ is the least positive eigenvalue and ϕ ( θ ) is the corresponding eigenfunction of the problem (see [34] and [4, Theorem 8.12 and Remark 8.13])

(3.5) { θ { ( λ 2 ϕ 2 + | θ ϕ | 2 ) p - 2 2 θ ϕ } + λ ( λ ( p - 1 ) + 2 - p ) ( λ 2 ϕ 2 + | θ ϕ | 2 ) p - 2 2 ϕ = 0 in  0 < θ < ω , ϕ ( 0 ) = ϕ ( ω ) = 0 .

Remark 3.2.

To our knowledge, for p > 2 there are no second-order L 2 regularity results concerning obstacle problems even if the differentiability of the data and the smoothness of the boundary are assumed; in particular, recent results of Brasco, Santambrogio [5] and Mercuri, Riey, Sciunzi [29] do not seem to work for obstacle problems. For properties of first-order derivatives we refer to [25, 27] and to the references quoted there. Global regularity results in terms of Sobolev (or Besov) spaces with smoothness index greater than 1 for solutions of obstacle problems are up to now only established for p = 2 (see [11]).

Remark 3.3.

We note that for any fixed value of p > 2 the function γ ( p , ) decreases as the variable χ increases, and it tends to the value p - 1 p as χ 2 . Similarly, for any fixed value of χ < 2 the function γ ( , χ ) increases as the variable p increases, and it tends to the value 1 as p + . If we choose ω = 4 π 3 , then the expression for γ becomes

γ ( p , 4 3 ) = 1 + p - p 2 + 32 p - 32 16 ( p - 1 ) .

Note that, putting p = 2 in the previous formula, we get γ = 3 4 according to the by now classical results of Kondratiev for equations (see, e.g., [4]).

The behavior of γ ( p , 4 3 ) is shown in Figure 1 for 2 < p < 10 , and in Figure 2 for 2 < p < 10.000 .

Figure 1 
               The function γ for 
                     
                        
                           
                              2
                              <
                              p
                              <
                              10
                           
                        
                        
                        {2<p<10}
                     
                  .
Figure 1

The function γ for 2 < p < 10 .

Figure 2 
               The function γ for 
                     
                        
                           
                              2
                              <
                              p
                              <
                              10.000
                           
                        
                        
                        {2<p<10.000}
                     
                  .
Figure 2

The function γ for 2 < p < 10.000 .

Remark 3.4.

We point out that the regularity result of Theorem 3.1, also in the case of Dirichlet problems with datum F L , cannot be deduced from [4, Theorems 8.43, 8.44, 8.46] since we do not assume the differentiability of F, and, for any p > 2 , the exponent of the weight in [4] is greater than the one in (3.2). In fact, the exponent of the weight in formula [4, (8.4.35)] is required to be greater than p 2 ( 1 - γ ) (in our notation), it is increasing in p and its limit is equal to 1 2 as p , while μ in (3.2) is required to be greater than ( 1 - γ ) , it is decreasing in p and tends to 0 as p .

Remark 3.5.

We point out that this regularity result cannot be deduced from [16, Theorem 2.4] as our boundaries do not satisfy [16, condition (2.12)]. Actually, we use some ideas from [16] in order to obtain local estimates and estimates far away from the origin. We note that in this part the boundedness of the data (f and A p ( φ i ) , i = 1 , 2 ) is not required, but only the belonging to L 2 ( Ω ω ) (see Theorems 3.6 and 3.7).

The proof is obtained by combining some preliminary results that actually require weaker conditions than (3.1).

Theorem 3.6.

We assume hypothesis (2.2) and

(3.6) { k 0 , f , A p ( φ i ) L loc 2 ( Ω ω ) i = 1 , 2 .

Then the solution u of obstacle problem (2.1) in Ω ω belongs to H loc 2 ( Ω ω ) .

Proof.

From the Lewy–Stampacchia inequality (2.5) and assumption (3.6), we derive that the solution u of problem (2.1) is the solution of the equation A p ( u ) = f * , where f * belongs to the space L loc 2 ( Ω ω ) and

f * L loc 2 ( Ω ω ) C { f L loc 2 ( Ω ω ) + A p ( φ 1 ) L loc 2 ( Ω ω ) + A p ( φ 2 ) L loc 2 ( Ω ω ) } .

Moreover,

sup t > 0 ( p - 2 ) t 2 ( k 2 + t 2 ) p - 4 2 ( k 2 + t 2 ) p - 2 2 = p - 2

and, as k 0 ,

inf t > 0 ( p - 2 ) t 2 ( k 2 + t 2 ) p - 4 2 ( k 2 + t 2 ) p - 2 2 = 0 .

Then we use [16, (5.11) in the proof of Theorem 2.1] and we obtain

B R ( k 2 + | u | 2 ) p - 2 | β | = 2 | D β u | 2 d x
(3.7) C ( f L 2 ( B 2 R ) 2 + A p ( φ 1 ) L 2 ( B 2 R ) 2 + A p ( φ 2 ) L 2 ( B 2 R ) 2 + 1 R 4 ( B 2 R ( k 2 + | u | 2 ) p - 2 2 | u | 𝑑 x ) 2 )

for any ball B 2 R Ω ω with C independent of k. Then we repeat [16, steps 2 and 3 of the proof of Theorem 2.1], and by (2.3) we obtain that u H loc 2 ( Ω ω ) . ∎

Now we derive estimates far away from the origin. Let x Ω ω O and Ω s ( x ) := B s ( x ) Ω ¯ ω for s > 0 . Let 0 < R < dist ( x , O ) 4 be such that Ω 2 R ( x ) := B 2 R ( x ) Ω ¯ ω is convex.

Theorem 3.7.

We assume hypothesis (2.2) and

(3.8) f , A p ( φ i ) L 2 ( Ω ω ) i = 1 , 2 .

Then the solution u of obstacle problem (2.1) in Ω ω satisfies

Ω R ( x ) ( k 2 + | u | 2 ) p - 2 | β | = 2 | D β u | 2 d x
(3.9)    C ( f L 2 ( Ω 2 R ( x ) ) 2 + A p ( φ 1 ) L 2 ( Ω 2 R ( x ) ) 2 + A p ( φ 2 ) L 2 ( Ω 2 R ( x ) ) 2 + 1 R 2 Ω 2 R ( x ) ( k 2 + | u | 2 ) p - 2 | u | 2 𝑑 x )

for any x Ω ω O and R ( 0 , dist ( x , O ) 4 ) such that Ω 2 R ( x ) = B 2 R ( x ) Ω ¯ ω is convex.

Proof.

From the Lewy–Stampacchia inequality (2.5) and assumption (3.8) we derive that the solution u of the problem is the solution of the Dirichlet problem (2.6), where f * belongs to the space L 2 ( Ω ω ) and

(3.10) f * L 2 ( Ω ω ) C { f L 2 ( Ω ω ) + A p ( φ 1 ) L 2 ( Ω ω ) + A p ( φ 2 ) L 2 ( Ω ω ) } .

We point out that far away from the origin, according to the terminology of [16], the weak second fundamental form on Ω ω is non-positive. We choose the cut function ξ C 0 ( B 2 R ( x ) ) with ξ = 1 in B R ( x ) .

We proceed as in [16, step 1 of the proof of Theorem 2.4]. We observe that on Ω ω B 2 R ( x ) we have ξ = 0 and on Ω ω B 2 R ( x ) the Dirichlet condition holds, so the boundary integrals (see [16, (4.18)]) can be neglected. By using estimate (3.10), we obtain (see [16, (4.74)])

Ω ω ξ 2 ( k 2 + | u | 2 ) p - 2 | β | = 2 | D β u | 2 d x
C ( ξ 2 f L 2 ( Ω ω ) 2 + ξ 2 A p ( φ 1 ) L 2 ( Ω ω ) 2 + ξ 2 A p ( φ 2 ) L 2 ( Ω ω ) 2 + Ω ω | ξ | 2 ( k 2 + | u | 2 ) p - 2 | u | 2 𝑑 x ) .

Then we repeat [16, steps 2, 3 and 4 of the proof of Theorem 2.3] and we achieve estimate (3.9), where the constant C is independent of k. ∎

The next theorem concerns estimates near the origin and it holds true for any k .

Theorem 3.8.

Assume hypotheses (2.2), (2.4) and

(3.11) A p ( φ 2 ) f 0 , A p ( φ 1 ) f C 1 r λ 0 with  λ 0 > γ ( p - 1 ) - p in  Ω ω ,

where γ is defined in (3.3). Then the following estimates hold for the solution u of obstacle problem (2.1):

(3.12) | u ( x ) | C r γ , | u ( x ) | C r γ - 1 , | D β u | C r γ - 2 , | β | = 2 .

Proof.

From the Lewy–Stampacchia inequality (2.5) and assumption (3.11), we derive that the solution u of problem (2.1) is the solution of the Dirichlet problem (2.6) with a datum f * having the property

0 f * C 1 r λ 0 with  λ 0 > γ ( p - 1 ) - p .

Moreover, we can suppose that f * 0 . In fact, if f * = 0 , then the unique solution u of problem (2.1) is identically zero and estimates (3.12) are trivial.

If f * 0 , we use [19, Theorem 3 and the subsequent remarks] and we deduce that u admits the singular expansion

(3.13) u ( r , θ ) = C 2 r γ ϕ ( θ ) + v ( x )

with C 2 > 0 , and

(3.14) | v ( x ) | C 3 r γ + δ , | v ( x ) | C 3 r γ + δ - 1 , | D β u | C 3 r γ + δ - 2 , | β | = 2 .

Here γ is defined in (3.3), ϕ ( θ ) is the corresponding eigenfunction in problem (3.5) and the maximum δ > 0 depends on γ and λ 0 . We deduce estimates (3.12) from (3.13) and (3.14). ∎

We are now in a position to prove our main result.

Proof of Theorem 3.1.

Since assumptions (2.2) and (3.1) imply the assumptions of Theorem 3.6, Theorem 3.7 and Theorem 3.8 (with λ 0 = 0 ), we combine all the results and we deduce that the solution u of problem (2.1) belongs to the weighted Sobolev space H 2 , μ ( Ω ω ) for any μ > 1 - γ as

r μ | D β u | L 2 ( Ω ω ) , | β | = 2 .

Finally, estimate (3.4) follows from (2.3), (3.7), (3.9) and (3.12). ∎

4 Boundedness of the gradient far away from the origin

We now investigate boundedness of the gradient in L far away from the origin. We stress the fact that the results of Theorems 4.1 and 4.2 hold for any k .

Theorem 4.1.

We assume hypotheses (2.2) and

(4.1) f , A p ( φ i ) L ( Ω ω ) , i = 1 , 2 .

Then the solution u of obstacle problem (2.1) belongs to the Sobolev space W loc 1 , ( Ω ω ) .

Proof.

From the Lewy–Stampacchia inequality (2.5) and assumption (4.1) we derive that the solution u of problem (2.1) is the solution of the Dirichlet problem (2.6) with datum f * L ( Ω ω ) . Then the thesis follows from [35, Theorem 1] (see also [26, 18, 37]). ∎

Theorem 4.2.

We assume hypotheses (2.2) and (4.1). Then the solution u of obstacle problem (2.1) belongs to the Sobolev space W 1 , ( Ω R ( x ) ) for any x Ω ω O and R ( 0 , dist ( x , O ) 4 ) such that Ω 2 R ( x ) = B 2 R ( x ) Ω ¯ ω is convex.

Proof.

From the Lewy–Stampacchia inequality (2.5) and assumption (4.1) we derive that the solution u of problem (2.1) is the solution of the Dirichlet problem (2.6) with datum f * L ( Ω ω ) .

Then we can proceed as in [15, Theorem 2.2 and Remark 2.7]: more precisely, we replace [15, Lemma 5.4] by a localized version involving a cut-off function ξ C 0 ( B 2 R ( x ) ) with ξ = 1 in B R ( x ) and we obtain, for a smooth function v such that v = 0 on Ω ω ,

C ( k 2 + t 2 ) p - 2 2 t { | v | = t } ξ 2 | | v | | 𝑑 1 ( x )
t { | v | = t } ξ 2 | div ( ( k 2 + | v | 2 ) p - 2 2 v ) | 𝑑 1 ( x ) + { | v | > t } ξ 2 1 ( k 2 + | v | 2 ) p - 2 2 | div ( ( k 2 + | v | 2 ) p - 2 2 v ) | 2 𝑑 x
    + C { | v | > t } ξ 2 | v | p 𝑑 x .

We have exploited the fact that the weak second fundamental form on Ω ω B 2 R ( x ) is non-positive. ∎

We now state a further property for the gradient, useful for the application we have in mind when k = 0 (see [2, Lemma 4.2]). Here, as before, for any x Ω ω O we set Ω 2 R ( x ) = B 2 R ( x ) Ω ¯ ω and R ( 0 , dist ( x , O ) 4 ) is chosen in such a way that Ω 2 R ( x ) = B 2 R ( x ) Ω ¯ ω is convex.

Theorem 4.3.

We assume (2.2), (4.1) and

(4.2) k = 0 , A p ( φ 2 ) f c * > 0 .

We suppose that the solution u of obstacle problem (2.1) belongs to the space W loc 2 , s ( Ω ω ) , and for any x Ω ω O the restriction of u to the set Ω 2 R ( x ) belongs to W 2 , s ( Ω R ( x ) ) , s [ 1 , 2 ] . Then, for any q 1 , p > 2 , we obtain

| u | - ( p - t ) q t - q L 1 ( Ω ω )

with

t q ( p + ( p - 2 ) s ) q + ( p - 2 ) s .

Proof.

From the Lewy–Stampacchia inequality (2.5) and assumption (4.1) we derive that the solution u of problem (2.1) is the solution of the Dirichlet problem (2.6) with datum f * L ( Ω ω ) , and by (4.2) also f * c * > 0 . In particular, assumption (3.11) of Theorem 3.8 is satisfied with λ 0 = 0 . We deduce from (3.13) that | u | behaves like r γ - 1 in a neighborhood of O, and hence | u | - 1 L near O. Far away from the origin, we apply Theorem 4.1 to obtain that u W loc 1 , ( Ω ω ) .

Let G be a domain with G Ω ω . Then ( v 1 , v 2 ) u ( W 1 , s ( G ) ) 2 and v | u | L ( G ) . It follows that v W 1 , s ( G ) and v = ( v 1 v 1 + v 2 v 2 ) / v . Moreover, we have that

f * = - div ( v p - 2 u ) = - { v p - 2 ( v 1 x 1 + v 2 x 2 ) + ( p - 2 ) v p - 2 v 1 v x 1 + v 2 v x 2 v } .

Then

c * f * M ( x ) | u | p - 2 a.e. in  G ,

where M ( x ) L s ( G ) .

We obtain

G | u | - ( p - t ) q t - q 𝑑 x C G ( M ( x ) ) ( p - t ) q ( p - 2 ) ( t - q ) 𝑑 x ,

and if t q ( p + ( p - 2 ) s ) q + ( p - 2 ) s , then ( p - t ) q ( p - 2 ) ( t - q ) s .

We repeat the previous proof by replacing G by Ω R ( x ) and Theorem 4.1 by 4.2 to complete the proof. ∎

5 Error estimates

Obstacle problems in fractal domains have been studied in [10] in the framework of reinforcement problems. To face the numerical approach to the solutions of obstacle problems in fractal domains, it is natural to consider the solutions of obstacle problems in pre-fractal approximating domains and the corresponding FEM-solutions and to evaluate the approximation error. We consider the pre-fractal Koch Islands Ω α n that are polygonal domains having as sides pre-fractal Koch curves. We start by a regular polygon and we replace each side by a pre-fractal Koch curve (see Figures 3 and 4); we refer to [12, Section 2] for the definition and details.

In [12, Section 3], we showed that, assuming some natural conditions, the solutions u n of the obstacle problem in Ω α n converge to the fractal solution of the obstacle problem in the Koch Island Ω α .

For any (fixed) n, the number of reentrant angles is fixed and hence we can prove, for the solution u n of the obstacle problem in Ω α n , all the results of previous sections with χ = ω π , where

(5.1) ω = { π + θ ( α ) if the sides of the polygons are obtained by outward curves, π + 2 θ ( α ) if the sides of the polygons are obtained by inward curves.

We recall that by θ ( α ) we denote the opening of the rotation angle of the similarities involved in the construction of the Koch curve, that is,

θ ( α ) = arcsin ( α ( 4 - α ) 2 ) .

Then χ ( 1 , 3 2 ) in the case of outward curves or χ ( 1 , 2 ) in the case of inward curves.

Figure 3 
               Pre-fractal Koch Islands 
                     
                        
                           
                              Ω
                              α
                              2
                           
                        
                        
                        {\Omega^{2}_{\alpha}}
                     
                   with 
                     
                        
                           
                              α
                              =
                              2.1
                           
                        
                        
                        {\alpha=2.1}
                     
                  , 
                     
                        
                           
                              α
                              =
                              3
                           
                        
                        
                        {\alpha=3}
                     
                   and 
                     
                        
                           
                              α
                              =
                              3.75
                           
                        
                        
                        {\alpha=3.75}
                     
                  , respectively.
Figure 3

Pre-fractal Koch Islands Ω α 2 with α = 2.1 , α = 3 and α = 3.75 , respectively.

Figure 4 
               Pre-fractal Koch Islands 
                     
                        
                           
                              Ω
                              α
                              2
                           
                        
                        
                        {\Omega^{2}_{\alpha}}
                     
                   with 
                     
                        
                           
                              α
                              =
                              2.1
                           
                        
                        
                        {\alpha=2.1}
                     
                  , 
                     
                        
                           
                              α
                              =
                              3
                           
                        
                        
                        {\alpha=3}
                     
                   and 
                     
                        
                           
                              α
                              =
                              3.75
                           
                        
                        
                        {\alpha=3.75}
                     
                  , respectively.
Figure 4

Pre-fractal Koch Islands Ω α 2 with α = 2.1 , α = 3 and α = 3.75 , respectively.

In this framework, the involved weighted Sobolev space is

H 2 , μ ( Ω α n ) = { v W 1 , 2 ( Ω α n ) : D β v L 2 , μ ( Ω α n )  for all  | β | = 2 } , β = ( β 1 , β 2 ) , β 1 , β 2 , ,

which is a Hilbert space with the norm

v H 2 , μ ( Ω α n ) = { | β | = 2 D β v L 2 , μ ( Ω α n ) 2 + v W 1 , 2 ( Ω α n ) 2 } 1 / 2 .

Here L 2 , μ ( Ω α n ) is the completion of the space C ( Ω ¯ α n ) with respect to the norm

v L 2 , μ ( Ω α n ) = { Ω α n | v | 2 ρ 2 μ 𝑑 x } 1 / 2

and ρ = ρ n ( x ) denotes the distance function from the set of vertices of the reentrant corners of Ω α n . In this setting, we state the following theorems.

Theorem 5.1.

We assume

(5.2) { φ i W 1 , p ( Ω α n ) , i = 1 , 2 , φ 1 φ 2 in  Ω α n , φ 1 0 φ 2 in  Ω α n ,

and

(5.3) { k 0 f , A p ( φ i ) L ( Ω α n ) , i = 1 , 2 , A p ( φ 2 ) f 0 .

Then the solution u n of obstacle problem (2.1) in Ω α n belongs to the weighted Sobolev space

(5.4) H 2 , μ ( Ω α n ) , μ > 1 - γ ,

where

(5.5) γ = γ ( p , χ ) = 1 + p ( 1 - χ ) 2 + ( 1 - χ ) p 2 - χ ( 2 - χ ) ( p - 2 ) 2 2 χ ( 2 - χ ) ( p - 1 )

with χ = ω π and ω in (5.1).

Moreover,

(5.6) u n H 2 , μ ( Ω α n ) C { 1 + f L ( Ω α n ) + A p ( φ 1 ) L ( Ω α n ) + A p ( φ 2 ) L ( Ω α n ) } .

If k = 0 , then an analog of Theorem 4.3 holds.

Theorem 5.2.

We assume (5.2) and

(5.7) { k = 0 f , A p ( φ i ) L ( Ω α n ) , i = 1 , 2 , A p ( φ 2 ) f c * > 0 .

If the solution u n of obstacle problem (2.1) in Ω α n belongs to the space H 2 , μ ( Ω α n ) , then for any q 1 and p > 2 we obtain

(5.8) | u n | - ( p - t ) q t - q L 1 ( Ω α n ) ,

with

t q ( p + ( p - 2 ) 2 ) q + ( p - 2 ) 2 .

We introduce the triangulation of the domain Ω α n in order to define the approximate solutions u h according to the Galerkin method. Let T h be a partitioning of the domain Ω α n into disjoint, open regular triangles τ, each side being bounded by h so that Ω ¯ α n = τ T h τ ¯ . Associated with T h , we consider the finite-dimensional spaces

S h = { v C ( Ω ¯ α n ) : v | τ  is affine for all  τ T h } and S h , 0 = { v S h : v = 0  on  Ω α n } .

By π h we denote the interpolation operator π h : C ( Ω ¯ α n ) S h such that π h v ( P i ) = v ( P i ) for any vertex P i of the partitioning T h .

Definition 5.3.

The family of triangulations T h is adapted to the H 2 , μ ( Ω α n ) -regularity if the following conditions hold:

  1. The vertices of the polygonal curves Ω α n are nodes of the triangulations.

  2. The meshes are conformal and regular.

  3. There exists σ * > 0 such that, as h 0 ,

    h τ σ * h 1 1 - μ for all  τ T h  such that one of the vertices of  τ  belongs to  n ,
    h τ σ * h inf τ ρ μ for all  τ T h  with no vertix in  n .

Here h = sup { h τ = diam ( τ ) : τ T h } is the size of the triangulation and ρ = ρ n ( x ) denotes the distance of the point x from the set n of the vertices of the reentrant corners of Ω α n .

The construction of triangulations T h adapted to the H 2 , μ -regularity was introduced by Grisvard in [20]. This tool has been fruitfully used for the FEM approximation of linear problems in pre-fractal domains by [38, 39, 23, 1, 13, 14].

Consider the two obstacle problem in the finite-dimensional space S h , 0 :

(5.9) find  u 𝒦 h  such that a p ( u , v - u ) - Ω α n f ( v - u ) 𝑑 x 𝑑 y 0 for all  v 𝒦 h ,

where

a p ( u , v ) = Ω α n ( k 2 + | u | 2 ) p - 2 2 u v d x d y and 𝒦 h = { v S h , 0 : φ 1 , h v φ 2 , h  in  Ω α n } ,

with φ 1 , h = π h φ 1 and φ 2 , h = π h φ 2 .

Proposition 5.4.

Let us assume hypothesis (5.2). Then, for any f L p ( Ω α n ) , there exists a unique function u h that solves problem (5.9). Moreover,

u h W 1 , p ( Ω α n ) C { | k | + f L p ( Ω α n ) p / p + φ 1 W 1 , p ( Ω α n ) + φ 2 W 1 , p ( Ω α n ) } .

As previously, the solution u h to problem (5.9) realizes the minimum on the convex 𝒦 h of the functional J p ( ) , i.e.,

J p ( u ) = min v 𝒦 h J p ( v ) , where J p ( v ) = 1 p Ω α n ( k 2 + | v | 2 ) p 2 𝑑 x 𝑑 y - Ω α n f v 𝑑 x 𝑑 y .

Theorem 5.5.

Let us denote by u n and u h the solutions of problems (2.1) in Ω α n and (5.9), respectively. Let us assume hypotheses (5.2), (5.3) and

(5.10) φ i H 2 , μ ( Ω α n ) , i = 1 , 2 .

Let T h be a triangulation of Ω α n adapted to the H 2 , μ ( Ω α n ) -regularity of the solution u n . Then

(5.11) u n - u h W 1 , t ( Ω α n ) C h r t u n H 2 , μ ( Ω α n )

for any

r [ 1 , 2 p 2 - χ ( 2 - χ ) ( p - 2 ) 2 p 2 - χ ( 2 - χ ) ( p - 2 ) 2 + ( χ - 1 ) ( p - 2 ) ) , t [ 2 , p ] .

Proof.

For any σ [ 0 , p ] we put

(5.12) | v | ( p , σ ) = ( Ω α n ( | k | + | u n | + | v | ) p - σ | v | σ 𝑑 x 𝑑 y ) 1 p .

Repeating the proof of [12, Lemma 5.2] (given for k = 0 ), we prove for any v h 𝒦 h and

v 𝒦 n := { v W 0 1 , p ( Ω α n ) : φ 1 v φ 2  in  Ω α n }

that

(5.13) | u n - u h | ( p , t ) p C { | u n - v h | ( p , r ) p + f + A p ( u n ) L 2 ( Ω α n ) ( u n - v h L 2 ( Ω α n ) + v - u h L 2 ( Ω α n ) ) } ,

where r [ 1 , 2 ] , t [ 2 , p ] and the constant C does not depend on h. Now we evaluate the terms on the right-hand side in estimate (5.13) by choosing the test functions v h 𝒦 h and v 𝒦 n in an appropriate way. According to Theorem 5.1, the function u n belongs to the weighted Sobolev space H 2 , μ ( Ω α n ) for any μ > 1 - γ (see (5.4) and (5.5)).

We choose v h = π h u n , and by using approximation estimates of Grisvard (see [20, Section 8.4.1]), we derive

(5.14) u n - π h u n L 2 ( Ω α n ) C h 2 u n H 2 , μ ( Ω α n ) .

Then we choose v = φ 2 ( u h φ 1 ) and, as in [12, Lemma 4.4], we have

v - u h L 2 ( Ω α n ) 2 π h φ 2 - φ 2 L 2 ( Ω α n ) 2 + π h φ 1 - φ 1 L 2 ( Ω α n ) 2 .

Again using Grisvard estimates and assumption (5.10), we derive

(5.15) v - u h L 2 ( Ω α n ) C h 2 .

We compare the seminorm | u n - u h | W 1 , t ( Ω α n ) with | u n - u h | ( p , t ) p (defined in (5.12)) and we obtain

(5.16) | u n - u h | W 1 , t ( Ω α n ) t C | k | p - t | u n - u h | ( p , t ) p .

We now evaluate the term | u n - v h | ( p , r ) p , where v h = π h u n . By the embedding of weighted Sobolev spaces in the fractional Sobolev spaces (see, for instance, [33]), u n belongs to the space W σ 2 , 2 ( Ω α n ) for any σ 2 < 1 + γ . Taking into account the Sobolev embedding (see, for instance, [7]), we have

(5.17) | u n | L r * ( Ω α n ) with  r * = 2 2 - σ 2 .

By the Hölder inequality, we obtain

(5.18) | u n - v h | ( p , r ) p C ( r ) | u n - π h u n | W 1 , 2 ( Ω α n ) r ,

where we have used estimate (5.6) with r = 2 ( r * - p ) r * - 2 . Hence, as σ 2 < 1 + γ , r * is given in (5.17) and γ in (5.5), we have to choose r < p + 2 - p γ and we obtain by calculations that

r < 2 p 2 - χ ( 2 - χ ) ( p - 2 ) 2 p 2 - χ ( 2 - χ ) ( p - 2 ) 2 + ( χ - 1 ) ( p - 2 ) .

Now we use [20, Theorem 8.4.1.6] and we obtain

(5.19) | u n - π h u n | W 1 , 2 ( Ω α n ) C h .

By taking into account estimates (5.13)–(5.16), (5.18) and (5.19), we conclude the proof using once again the Poincaré inequality. ∎

We note that in Theorem 5.5 we assume k 0 ; if k = 0 the following result holds.

Theorem 5.6.

Let us denote by u n and u h the solutions of problems (2.1) in Ω α n and (5.9), respectively. Let us assume hypotheses (5.2), (5.7), (5.10) and that the solution u n belongs to the space H 2 , μ ( Ω α n ) . Let T h be a triangulation of Ω α n adapted to the H 2 , μ ( Ω α n ) -regularity of the solution u n . Then

u n - u h W 1 , q ( Ω α n ) C h r t u n H 2 , μ ( Ω α n )

for any

r [ 1 , 2 p 2 - χ ( 2 - χ ) ( p - 2 ) 2 p 2 - χ ( 2 - χ ) ( p - 2 ) 2 + ( χ - 1 ) ( p - 2 ) )

t [ 2 , p ] , q [ 1 , t ] , and for q < p we require t q ( p + ( p - 2 ) 2 ) q + ( p - 2 ) 2 .

Proof.

We proceed as in the proof of Theorem 5.5: we replace estimate (5.16) by

| u n - u h | W 1 , q ( Ω α n ) t | u n | - ( p - t ) q t - q L 1 ( Ω α n ) ( t - q ) / q Ω α n | ( u n - u h ) | t | u n | p - t 𝑑 x 𝑑 y C | u n - u h | ( p , t ) p .

Here we have used the Hölder inequality and estimate (5.8). ∎

Remark 5.7.

From the previous proofs we deduce that, for the linear case p = 2 , Theorem 5.5 gives the sharp result of Grisvard (see [20, Corollary 8.4.1.7]): in fact, we have p = t = 2 and, in particular, formula (5.18) holds true for r = 2 = p .

Remark 5.8.

We note that Theorem 5.5 improves the results of [12]: in particular, estimate (5.11) gives a faster convergence than the convergence in [12, estimate (5.63)]. In fact, the solution u n belongs to the weighted Sobolev space H 2 , μ ( Ω α n ) for any μ = μ ( p ) > 1 - γ . This space is continuously embedded in the fractional Sobolev space W σ 2 , 2 ( Ω α n ) for any σ 2 < 2 - μ (see, e.g., [33]). Hence, by the Sobolev embedding (see, e.g., [7]), for any σ < γ + 2 p , p 2 , the fractional Sobolev space W σ , p ( Ω α n ) properly contains the weighted Sobolev space H 2 , μ ( Ω α n ) for some μ = μ ( p ) > 1 - γ . Actually, for every p 2 the exponent r in (5.11) is strictly greater than γ + 2 p . Namely by writing the expression of γ in (5.5) in terms of the parameters p [ 2 , + ) and χ ( 1 , 2 ) , we obtain that γ + 2 p < r if and only if

(5.20) χ ( 2 - χ ) ( p - 1 ) ( p - 2 ) + ( χ - 1 ) p 2 ( χ - 1 ) 2 + 4 χ ( 2 - χ ) ( p - 1 ) > 0 .

Of course, inequality (5.20) holds for any choice of the parameters.

Remark 5.9.

We note that the constant C in estimate (5.11) does not depend on n. However, to deduce from (5.11) error estimates for the fractal solution we have to bound the norms u n H 2 , μ ( Ω α n ) uniformly in n. Up to now, this type of results is only established for p = 2 (see [9, 11]).

Funding statement: The authors are members of GNAMPA (INdAM) and are partially supported by Grant Ateneo “Sapienza” 2017. Capitanelli and Vivaldi are partially supported by INdAM GNAMPA Project 2017.

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Received: 2017-10-31
Revised: 2017-12-21
Accepted: 2018-01-28
Published Online: 2018-06-14

© 2019 Walter de Gruyter GmbH, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Artikel in diesem Heft

  1. Frontmatter
  2. Asymptotic behavior of evolution systems in arbitrary Banach spaces using general almost periodic splittings
  3. Solvability of a product-type system of difference equations with six parameters
  4. On Dirichlet problem for fractional p-Laplacian with singular non-linearity
  5. Absence of Lavrentiev gap for non-autonomous functionals with (p,q)-growth
  6. On a class of fully nonlinear parabolic equations
  7. On sign-changing solutions for (p,q)-Laplace equations with two parameters
  8. Weighted Caffarelli–Kohn–Nirenberg type inequalities related to Grushin type operators
  9. On the fractional p-Laplacian equations with weight and general datum
  10. An elliptic equation with an indefinite sublinear boundary condition
  11. Liouville-type theorems for elliptic equations in half-space with mixed boundary value conditions
  12. Well/ill-posedness for the dissipative Navier–Stokes system in generalized Carleson measure spaces
  13. Hypercontractivity, supercontractivity, ultraboundedness and stability in semilinear problems
  14. Theoretical analysis of a water wave model with a nonlocal viscous dispersive term using the diffusive approach
  15. A multiplicity result for asymptotically linear Kirchhoff equations
  16. Higher-order anisotropic models in phase separation
  17. Well-posedness and maximum principles for lattice reaction-diffusion equations
  18. Existence of a bound state solution for quasilinear Schrödinger equations
  19. Existence and concentration behavior of solutions for a class of quasilinear elliptic equations with critical growth
  20. Homoclinics for strongly indefinite almost periodic second order Hamiltonian systems
  21. A new method for converting boundary value problems for impulsive fractional differential equations to integral equations and its applications
  22. Diffusive logistic equations with harvesting and heterogeneity under strong growth rate
  23. On viscosity and weak solutions for non-homogeneous p-Laplace equations
  24. Periodic impulsive fractional differential equations
  25. A result of uniqueness of solutions of the Shigesada–Kawasaki–Teramoto equations
  26. Solutions of vectorial Hamilton–Jacobi equations are rank-one absolute minimisers in L
  27. Large solutions to non-divergence structure semilinear elliptic equations with inhomogeneous term
  28. The elliptic sinh-Gordon equation in a semi-strip
  29. The Gelfand problem for the 1-homogeneous p-Laplacian
  30. Boundary layers to a singularly perturbed Klein–Gordon–Maxwell–Proca system on a compact Riemannian manifold with boundary
  31. Subharmonic solutions of Hamiltonian systems displaying some kind of sublinear growth
  32. Multiple solutions for an elliptic system with indefinite Robin boundary conditions
  33. New solutions for critical Neumann problems in ℝ2
  34. A fractional Kirchhoff problem involving a singular term and a critical nonlinearity
  35. Existence and non-existence of solutions to a Hamiltonian strongly degenerate elliptic system
  36. Characterizing the strange term in critical size homogenization: Quasilinear equations with a general microscopic boundary condition
  37. Nonlocal perturbations of the fractional Choquard equation
  38. A pathological example in nonlinear spectral theory
  39. Infinitely many solutions for cubic nonlinear Schrödinger equations in dimension four
  40. On Cauchy–Liouville-type theorems
  41. Maximal Lp -Lq regularity to the Stokes problem with Navier boundary conditions
  42. Besov regularity for solutions of p-harmonic equations
  43. The classical theory of calculus of variations for generalized functions
  44. On the Cauchy problem of a degenerate parabolic-hyperbolic PDE with Lévy noise
  45. Hölder gradient estimates for a class of singular or degenerate parabolic equations
  46. Critical and subcritical fractional Trudinger–Moser-type inequalities on
  47. Multiple nonradial solutions for a nonlinear elliptic problem with singular and decaying radial potential
  48. Quantization of energy and weakly turbulent profiles of solutions to some damped second-order evolution equations
  49. An elliptic system with logarithmic nonlinearity
  50. The Caccioppoli ultrafunctions
  51. Equilibrium of a production economy with non-compact attainable allocations set
  52. Exact behavior around isolated singularity for semilinear elliptic equations with a log-type nonlinearity
  53. The higher integrability of weak solutions of porous medium systems
  54. Classification of stable solutions for boundary value problems with nonlinear boundary conditions on Riemannian manifolds with nonnegative Ricci curvature
  55. Regularity results for p-Laplacians in pre-fractal domains
  56. Carleman estimates and null controllability of a class of singular parabolic equations
  57. Limit profiles and uniqueness of ground states to the nonlinear Choquard equations
  58. On a measure of noncompactness in the space of regulated functions and its applications
  59. p-fractional Hardy–Schrödinger–Kirchhoff systems with critical nonlinearities
  60. On the well-posedness of a multiscale mathematical model for Lithium-ion batteries
  61. Global existence of a radiative Euler system coupled to an electromagnetic field
  62. On the existence of a weak solution for some singular p ( x ) -biharmonic equation with Navier boundary conditions
  63. Choquard-type equations with Hardy–Littlewood–Sobolev upper-critical growth
  64. Clustered solutions for supercritical elliptic equations on Riemannian manifolds
  65. Ground state solutions for the Hénon prescribed mean curvature equation
  66. Quasilinear equations with indefinite nonlinearity
  67. Concentrating solutions for a planar elliptic problem with large nonlinear exponent and Robin boundary condition
  68. Retraction of: Concentrating solutions for a planar elliptic problem with large nonlinear exponent and Robin boundary condition
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