Abstract
A second order of accuracy difference scheme for the approximate solution of the abstract nonlocal boundary value problem , , , , for differential equations in a Hilbert space with a self-adjoint positive definite operator is considered. The well posedness of this difference scheme in Hölder spaces is established. In applications, coercivity inequalities for the solution of a difference scheme for elliptic-parabolic equations are obtained and a numerical example is presented.
1. Introduction
The role played by coercive inequalities in the study of boundary value problems for elliptic and parabolic partial differential equations is well known (see [1–4]).
Nonlocal problems are widely used for mathematical modeling of various processes of physics, biology, chemistry, ecology, engineering, and industry when it is impossible to determine the boundary or initial values of the unknown function. Theory and numerical methods of solutions of the nonlocal boundary value problems for partial differential equations of variable type have been studied extensively by many researchers (see, e.g., [5–34] and the references therein).
In paper [35], the nonlocal boundary value problem for the differential equation in a Hilbert space with the self-adjoint positive definite operator was considered. The well posedness of problem (1.1) in Hölder spaces was established. The first order of accuracy difference scheme for approximate solutions of nonlocal boundary value problem (1.1) was presented. In applications, the coercivity inequalities for solutions of difference schemes for elliptic-parabolic equations were obtained.
In the present paper, the second order of accuracy difference scheme generated by Crank-Nicholson difference scheme for the approximate solution of problem (1.1) is presented. The well posedness of difference scheme (1.2) in Hölder spaces is established. As an application, coercivity inequalities for solutions of difference schemes for elliptic-parabolic equations are obtained. A numerical example is given.
2. The Formula for the Solution of Problem (1.2)
The following operators: exist and are bounded for a self-adjoint positive operator . Here
Theorem 2.1. For any , and the solution of problem (1.2) exists and the following formula holds:
Proof. For any and the solution of the auxiliary inverse Cauchy difference problem
exists and the following formula holds [36]
Putting we get (2.4).
Now, we consider the following auxiliary difference problem
It is well known that for the solution of (2.8) the following formula holds [37, 38]:
Applying (2.7) and putting in (2.9), we get (2.3).
For using (2.3), (2.4), and the condition
we obtain the operator equation
The operator
has an inverse
Hence, we obtain that
This concludes the proof of Theorem 2.1.
3. Main Theorems
Here, we study well posedness of problem (1.2). First, we give some necessary estimates for , and For a self-adjoint positive operator , the following estimates are satisfied [36, 38, 39]: where is independent of From these estimates, it follows that
Let be the linear space of mesh functions defined on with values in the Hilbert space Next on we denote and Banach spaces with the norms
Nonlocal boundary value problem (1.2) is said to be stable in if we have the inequality where is independent of not only but also .
Theorem 3.1. Nonlocal boundary value problem (1.2) is stable in norm.
Proof. By [38], we have
for the solution of boundary value problem (2.8).
By [36], we get
for the solution of an inverse Cauchy difference problem (2.6). Then, the proof of Theorem 3.1 is based on the stability inequalities (3.6), (3.7), and on the estimates
for the solution of the boundary value problem (1.2). Estimates (3.8) and (3.9) follow from formula (2.5) and estimates (3.1), (3.2), and (3.3) which conclude the proof of Theorem 3.1.
Theorem 3.2. Assume that and Then, for the solution of difference problem (1.2), we have the following almost coercivity inequality: where does not dependent on not only but also .
Proof. By [40], we have
for the solution of an inverse Cauchy difference problem (2.6).
By [38], we get
for the solution of boundary value problem (2.8).
Then, the proof of Theorem 3.2 is based on almost coercivity inequalities (3.11), (3.12), and on the estimates
for the solution of boundary value problem (1.2). The proof of these estimates follows the scheme of the papers [38, 40] and relies on both the formula (2.5) and the estimates (3.1), (3.2), and (3.3).
This concludes the proof of Theorem 3.2.
Let be the Banach spaces with the norms
Theorem 3.3. Let the assumptions of Theorem 3.2 be satisfied. Then, boundary value problem (1.2) is well posed in Hölder spaces and , and the following coercivity inequalities hold: where is independent of not only and but also and .
Proof. By [39, 40],
for the solution of an inverse Cauchy difference problem (2.6) can be written.
By [37, 38], we get
for the solution of boundary value problem (2.8).
Then, the proof of Theorem 3.3 is based on coercivity inequalities (3.16)–(3.18), and the estimates
for the solution of boundary value problem (1.2).
Estimates (3.19) and (3.20) follow from the formulas
for the solution of problem (1.2) and estimates (3.1), (3.2), and (3.3).
This finalizes the proof of Theorem 3.3.
4. Applications
In this section, we indicate applications of Theorems 3.1, 3.2, and 3.3 to obtain the stability, the almost coercive stability, and the coercive stability estimates for the solutions of these difference schemes for the approximate solution of nonlocal mixed problems. First, let be the unit open cube in the -dimensional Euclidean space with boundary . In the boundary value problem for the multidimensional elliptic-parabolic equation is considered. Problem (4.1) has a unique smooth solution for the smooth functions, and .
The discretization of problem (4.1) is carried out in two steps. In the first step, the grid sets are defined. To the differential operator generated by problem (4.1), we assign the difference operator by the formula acting in the space of grid functions satisfying the conditions for all With the help of we arrive at the nonlocal boundary value problem for an infinite system of ordinary differential equations.
Replacing problem (4.4) by the difference scheme (1.2), one can obtain the second order of accuracy difference scheme
Let us give a corollary of Theorems 3.1 and 3.2.
Theorem 4.1. Let and be sufficiently small positive numbers. Then, solutions of difference scheme (4.5) satisfy the following stability and almost coercivity estimates: Here, is independent of not only but also , and
The proof of Theorem 4.1 is based on Theorems 3.1 and 3.2, the estimate the symmetry properties of the difference operator defined by formula (4.3) in , and the following theorem.
Theorem 4.2. For the solution of the elliptic difference problem the following coercivity inequality holds [41]:
Let us give a corollary of Theorem 3.3.
Theorem 4.3. Let and be sufficiently small positive numbers. Then, solutions of difference scheme (4.5) satisfy the following coercivity stability estimates: where is independent of not only but also and
The proof of Theorem 4.3 is based on the abstract Theorems 3.3 and 4.2, and the symmetry properties of the difference operator defined by the formula (4.3).
Second, the mixed boundary value problem for the elliptic-parabolic equation is considered. Problem (4.11) has a unique smooth solution for , the smooth functions, and
Note that in a similar manner one can construct the difference schemes of the second order of accuracy with respect to one variable for approximate solutions of the boundary value problem (4.11). Abstract theorems given above permit us to obtain the stability, the almost stability and the coercive stability estimates for the solutions of these difference schemes.
5. Numerical Results
We consider the nonlocal boundary value problem for the elliptic-parabolic equation.
The exact solution of this problem is
Now, we give the results of the numerical analysis. The errors computed by of the numerical solutions are given inTable 1.
Thus, the second order of accuracy difference scheme is more accurate than the first order of accuracy difference scheme.
Acknowledgments
The authors would like to thank the referees and Professor P. E. Sobolevskii (Jerusalem, Israel) for helpful suggestions to the improvement of this paper.