1. Introduction
Boundary value problems for equations and systems of partial differential equations with a singularity play an important role in the mathematical modeling of processes in fracture mechanics (see, for example, [
1,
2]). The singularity can be caused by the presence of reentrant corners on the boundary of the two-dimensional domain or by the degeneracy of the coefficients and right-hand sides of the equation and boundary conditions. Classical methods of finite elements and difference schemes make it possible to find an approximate solution to these problems with low accuracy. The rate of convergence of the approximate solution to the exact one depends on the regularity of the solution of the differential problem [
3].
It is known (see, for example, ([
4,
5,
6,
7]) that the solution of a two-dimensional boundary value problem in the presence of a corner singularity contains a singular component that depends on the distance
to the vertex of the corner with an exponent
. The value of
is determined by the size of the corner
and
for
. In this case, the solution belongs to the space
, where
for the Neumann or Dirichlet problem and
for the mixed boundary value problem,
is an arbitrary positive number. The approximate solution found by classical numerical methods will converge to the exact solution at a rate of
with respect to the mesh step
h in the space
.
Numerical methods must consider the behavior of the solution in the neighborhood of the singularity point to increase the rate of convergence of the approximate solution to the value
. A detailed list of such methods is given in [
8,
9]. We distinguish from these methods the extended finite element method (XFEM) [
10,
11,
12,
13] and the weighted finite element method (WFEM) [
14,
15,
16,
17]. The weighted finite-element method is based on the definition of the
-generalized solution [
18,
19,
20] and the introduction of weighted basis functions [
14,
15,
16,
17] that consider the asymptotic behavior of the solution in the neighborhood of the singularity point. This allows one to find an approximate solution with a convergence rate
regardless of the size of the reentrant corner
.
Boundary value problems for elliptic equations with degeneracy on the entire boundary of the domain were considered by S.M. Nikol’sky and P.I. Lizorkin in the articles [
21,
22,
23,
24]. The degeneracy was caused by the behavior of the coefficients and right-hand sides of the problem on the boundary of the domain. The questions of the existence and uniqueness of the solution, and its coercive and differential properties were studied in the articles of these authors. For the numerical solution of the Dirichlet problem for an equation with degeneracy on the entire boundary of the domain, a finite element method was developed on the uniform mesh and mesh with compression to the boundary, which ensured the convergence of the approximate solution to the exact one [
25]. In [
9], an estimate for the rate of convergence
in the norm of the Sobolev weighted space was proved under a special compression of the mesh and conditions under which the solution of the differential problem belongs to the space
(see [
26]). In this paper, we prove an estimate for the rate of convergence
in the norm of the space
and carry out the results of numerical experiments for two model problems.
We organize the remaining part of this paper as follows:
Section 2 introduces the weighted Sobolev spaces and auxiliary statements. In
Section 3 the Nikol’skij-Lizorkin boundary value problem and the auxiliary problem with degeneration on the entire boundary of the domain are presented. We have established the continuity and W-ellipticity of the bilinear form and formulated a theorem on the belonging of the solution of the problem in the space
. A scheme for the finite element method on a mesh with a special exponent of the degree of compression to the boundary is given in
Section 4. In
Section 5, an estimate for the rate of convergence of an approximate solution to an exact solution with the second-order mesh step in the norm of space
is established. We present the results of numerical experiments for two model boundary value problems with degeneracy on the entire boundary for a symmetrical domain using our finite element method in
Section 6.
2. Weighted Spaces
Throughout this paper, we assume that is a bounded convex domain, its boundary is twice differentiable, and . By we denote the boundary strip of width .
We suppose that is twice differentiable function for and coincides in with the distance from x to the boundary .
We denote by
the weighted Sobolev space of functions
f with the norm
, are integers , and ; is a real number satisfying the inequalities ; ; .
We denote by the subspace of the space consisting of functions in whose trace on is equal to zero.
We introduce the weighted Lebesgue space of functions
f with the norm
We now formulate the following auxiliary statements (see [
21,
27]).
Lemma 1. There is an embedding of spacesfor , , . Lemma 2. If , , and , thenwhere , are positive constants independent of f. 3. Nikol’skij-Lizorkin Problem with Degeneracy
Let us consider the following problem
where
We will suppose that the right-hand side
F in (
4) satisfies the condition
i.e.,
, the coefficients
,
are differentiable functions in
, satisfying the inequalities
and
where
are any real parameters, the function
is positive and satisfies the inequality
Here () are constants independent of x; .
Introducing the bilinear form
and the linear form
we give a weak formulation to problem (
4): find
such that
A function
u in
satisfying the equality (
10) is called a
generalized solution of the Dirichlet problem with degeneration.
We will need the following statement.
Lemma 3. Suppose that conditions (5), (6), (8), (9) hold. Then the bilinear form is continuous and —elliptical, and the linear form is continuous on .
Proof. By means of conditions (
5), (
6), (
9), the Cauchy-Schwarz inequality and the estimate (
3) for
(see Lemma 2) we establish the continuity of the bilinear and linear forms:
Using the condition (
8) and inequality (
2) for
we prove the
—ellipticity of the bilinear form:
□
The existence and uniqueness of a generalized solution of the problem (
4) in the space
follow from Lemma 3 and Lax-Milgram’s theorem (see [
3]).
If conditions (
5)–(
9) are satisfied then the generalized solution of the Dirichlet problem (
4) belongs to the space
(see [
23]) and the operator
has a bounded inverse operator (see [
24]).
Following [
26], we introduce an auxiliary problem
where
Now we formulate the main result of the paper [
26] for
.
Theorem 1. If the coefficients of Equation (4) satisfy inequalities (6)–(9) for some and conditionsandare satisfied, then the generalized solution u belongs to the space and, moreover, 4. Finite Element Method
The finite element method for finding an approximate generalized solution to the Dirichlet problem (
10) was constructed in [
9]. Here we briefly describe the construction of the scheme FEM the first step of which is triangulation
of the domain
(see, for example,
Figure 1).
Assuming that is the diameter of the circle inscribed in , and the width b of boundary strip satisfies the inequality , we draw the curves at distance , , to the boundary . (Here denotes the exponent of compression and ). In this case, the domain is divided by the line into two subdomains and . (Here ).
Let , denotes the length of the curve . We fix , equidistant points on each curve and call them grid nodes. Number . (Here denotes the integer part of x).
First, the nodes of the curve
are connected by the broken line. Then, we connect each node on the curve
,
, with the nearest nodes on the curve
. Thus, we triangulated the boundary strip
with compression of the triangles to the boundary
. We will call the set of the triangles with vertices on
and
a layer and denote it by
. (Here
h is the maximal length of the sides of the triangles in
). For instance, in
Figure 1 the subdomain
has the layers
,
and
.
We now perform a quasi-uniform triangulation of the subdomain . Note that the sides of triangles from can not be greater than h and the vertices coincide on the boundary for triangles from and .
As a result, we have the triangulation of the domain so that:
- (a)
, , where is a closed triangle and is called a finite element. Let .
- (b)
is the set of segments cut off from by triangles K with vertices on the boundary .
- (c)
The intersection of any triangles is one common vertex or one whole side or is empty.
- (d)
The smallest of the corners of the triangles K is always strictly positive.
We observe that the vertices of the triangles are the nodes of the triangulation.
We now define the finite element space
by
we concider the following discrete problem: find
such that
A function
in
satisfying the equality (
14) is called
an approximate (finite element) generalized solution of the Dirichlet problem with degeneration.
If will be found in the form
Here denotes the number of the internal nodes; is a linear function over every triangle K, equals to 1 at the point and zero at all other nodes, .
Obviously that
is a subset of
. The existence and uniqueness of the approximate solution
of the problem (
14) follow by the Lax-Milgram theorem from properties of
and
(see Lemma 3).
The following result states the estimate for the convergence of the finite element method.
Theorem 2 ([
9]
).Let the coefficients of Equation (4) satisfy inequalities (6)–(9) for some and conditions
and (
12)
are met. Then there exists a constant independent of and such that for the triangulation of the domain Ω
with exponent of compression we have the convergence estimate 5. Error Estimate
We will obtain an apriori estimate of the convergence rate in the norm.
Taking into account the definition of the norm (
1) in the space
, we get from the estimate (
15)
where
.
Let us show that we actually have
We will use the Aubin-Nitsche idea for nonweighted spaces (see [
28,
29]). To do that, introduce the auxiliary problem:
where
Since the difference (
) is the element of the space
and for
the inequality
is valid, then
belongs to the space
, i.e.,
We define a bilinear form
and linear form
for the problem (
16).
As well as (
4), the problem (
16) is equivalent to the following variational problem: find
, such that
A function
w from the space
is called generalized solution to the problem (
16) if it satisfies the equality (
18).
Since the bilinear form
is continuous and
—elliptical, and the linear form (
) is continuous on
, the existence and uniqueness of a generalized solution of the problem (
16) follow from Lax-Milgram theorem (see [
3]).
Let us note that if
, (i.e.
) and the condition (
12) holds, then according to Theorem 1,
w belongs to the space
and the estimate
is valid.
A function
in the space
satisfying the equality
is called
an approximate (finite element) generalized solution to the auxiliary problem (
16).
Similar to , the function exists and is unique.
Taking into account (
19), Theorem 2 implies the statement.
Lemma 4. Let the coefficients of the Equation (16) satisfy inequalities (6)–(9) for some and condition (12) is met. Then there exists a constant not depending on and h such that the convergence estimateholds for the triangulation of the domain Ω
with an exponent of compression . Now we will establish the estimate of the convergence rate in the norm of the space .
Theorem 3. Let the conditions of Theorem 2 be satisfied. Then there exists a positive constant independent of and h such that the following convergence estimate holds: Proof. Taking into account that (
) belongs to the space
we have from the equality (
18)
Concidering that
and using the equality
with
, we get
Due to the continuity on
of the bilinear form we have
Using the estimates (
15) and (
20), we obtain
Since
then from the last inequality we establish the estimate (
21). □
6. Numerical Experiments
In this section, we demonstrate the validity of the convergence rate estimate (
21) by the examples of test calculations of model problems. We compare the errors in the Lebesgue space norm for approximate solutions calculated by the finite element method on a quasi-uniform mesh (
) and a mesh with compression (
).
Let
be a circle of unit radius and with center at the point (
) (
Figure 2), while the coefficients and the right side of Equation (
4) are given as follows:
where
.
The exact solution of this problem is .
The calculations were performed using the finite element method (see
Section 3) and code [
30].
Model problem 1. Let us set the parameters
at which the coefficient and the right side of Equation (
4) have the form
With such initial data, the exact solution of the problem is the function . The exponent of compression of the mesh is .
In
Table 1 we present the difference between an exact and an approximate solutions in the norm of the space
, i.e.,
, for meshes
and
. The parameter
is the relation norms
when the mesh parameter
h is reduced two time. The parameter
h decreases due to increase of the number
n of the curves
at a fixed value of the boundary strip
for mesh
.
Figure 3a shows change
for meshes
and
depending on the change in parameter
h.
Model problem 2. Parameters
are chosen as follows:
Then
The exact solution of the problem is the function
, the exponent of compression of the mesh is
. The results of the research of Model problem 2 are presented in
Table 2 and
Figure 3b.
7. Conclusions
In this paper, we construct a finite element method for solving the Dirichlet problem for a second-order elliptic equation with degeneration on the entire twice continuously differentiable boundary of a two-dimensional domain
. We have proved that the approximate solution of the problem (
4) converges to the exact one with the rate
in the
norm on meshes with the corresponding compression of nodes to the boundary. The convergence rate estimate from Theorem 3 was confirmed by test calculations for symmetrical domains.
The developed and studied finite element method schemes with mesh compression to the boundary of the domain can be used to solve problems of hydrodynamics, electromagnetism, diffusion, theory of plasticity, etc., leading to boundary value problems for elliptic equations with degeneracy on the boundary.
In the future, we plan to define an
-generalized solution (see [
31,
32,
33]) for the Nikol’skii-Lizorkin problem. This will make it possible to achieve the convergence rate of the solution by the finite element method equal to
without compression of the mesh to the boundary. The dimension of the main matrix of the FEM system of equations will be significantly reduced and will be better structured. This will make it possible to find an approximate solution with a given accuracy faster and more economically.