Analysis and Numerical Solutions of Positive and Dead Core Solutions of Singular Sturm-Liouville Problems
© Gernot Pulverer et al. 2010
Received: 20 December 2009
Accepted: 28 April 2010
Published: 6 June 2010
In this paper, we investigate the singular Sturm-Liouville problem , , , where is a nonnegative parameter, , , and . We discuss the existence of multiple positive solutions and show that for certain values of , there also exist solutions that vanish on a subinterval , the so-called dead core solutions. The theoretical findings are illustrated by computational experiments for and for some model problems from the class of singular differential equations discussed in Agarwal et al. (2007). For the numerical simulation, the collocation method implemented in our MATLAB code bvpsuite has been applied.
where denotes the radial coordinate. Baxley and Gersdorff  discussed problem (1.3), where and were continuous and was allowed to be unbounded for . They proved the existence of positive solutions and dead core solutions (vanishing on a subinterval , ) of problem (1.3), and also covered the case of the function approximated by some regular function .
see . Here is a parameter, the function is non-negative and satisfies the Carathéodory conditions on , for a.e. , and is positive and satisfies the Carathéodory conditions on , . Moreover, the function is singular at and is singular at .
A function is called a positive solution of problem (1.4a)-(1.4b) if on , , satisfies (1.4b) and (1.4a) holds for a.e. . We say that satisfying (1.4b) is a dead core solution of problem (1.4a)-(1.4b) if there exists a point such that on , on , and (1.4a) holds for a.e. . The interval is called the dead core of . If , on , , satisfies (1.4b) and (1.4a) holds a.e. on , then is called a pseudo dead core solution of problem (1.4a)-(1.4b).
Since problem (1.4a)-(1.4b) is singular, the existence results in  are proved by a combination of the method of lower and upper functions with regularization and sequential techniques. Therefore, the notion of a sequential solution of problem (1.4a)-(1.4b) was introduced. In , conditions on the functions , and were specified which guarantee that for each , problem (1.4a)-(1.4b) has a sequential solution and that any sequential solution is either a positive solution, a pseudo dead core solution, or a dead core solution. Also, it was shown that all sequential solutions of (1.4a)-(1.4b) are positive solutions for sufficiently small positive values of and dead core solutions for sufficiently large values of .
A function is a positive solution of problem (1.6a)-(1.6b) if satisfies the boundary conditions (1.6b), on and (1.6a) holds for . A function is called a dead core solution of problem (1.6a)-(1.6b) if there exists a point such that for , , satisfies (1.6b) and (1.6a) holds for . The interval is called the dead core of . If , then is called a pseudo dead core solution of problem (1.6a)-(1.6b).
In  similar questions in context of (1.6a) and the Dirichlet boundary conditions , have been discussed. For further results on existence of positive and dead core solutions to differential equations of the types and , we refer the reader to [5–9]. The Dirichlet conditions have been discussed in [5–7, 9], while  deals with the Robin conditions , , , .
The final result concerning the multiplicity of positive solutions to problem (1.6a)-(1.6b) is given in Theorem 2.11. Let (1.8) hold and let . Then and for each , there exist multiple positive solutions of problem (1.6a)-(1.6b).
In Section 2 analytical results are presented. Here, we formulate the existence and uniqueness results for the solutions of the boundary value problem (1.6a)-(1.6b) and study the dependance of the solution on the parameter values . The numerical treatment of problems (1.9a)-(1.9b) and (1.5a)-(1.5b) based on the collocation method is discussed in Section 3, where for different values of , we study positive, pseudo dead core, and dead core solutions of problem (1.9a)-(1.9b) and positive solutions of problem (1.5a)-(1.5b).
2. Analytical Results
2.1. Auxiliary Functions
Here, the positive constants and are identical with those used in boundary conditions (1.6b). Note that the function is used in the analysis of positive and pseudo dead core solutions of problem (1.6a)-(1.6b), while the function for its dead core solutions.
Let be arbitrary, . Then , and is increasing on by [4, Lemma (where is replaced by )]. Since is arbitrary, the result immediately follows.
Let assumption (1.7) hold. Then the following statements follow.
It follows from (1.7) that . Also, is increasing w.r.t. both variables, for any , and , for any . Hence, for each , there exists a unique such that . In order to prove that is decreasing on , assume on the contrary that for some . Then which contradicts for . Hence, is decreasing on . If was discontinuous at a point , then there would exist sequences and in such that and , are convergent, , and with . Taking the limits in and , we obtain , . Consequently, by the definition of the function , which is not possible.
The equalities for and imply that . Since the function defined by (2.23) is continuous and increasing on , it follows that for ; see (2.26). Let us choose an arbitrary satisfying (2.27). Then . Now, the properties of guarantee that equation has a unique solution . This means that (2.28) holds for a unique .
equality (2.41) follows.
by (2.41), and the function is increasing and continuous on , we deduce from (2.45) and (2.46) that . Then (2.40) and (2.44) yield . Therefore, d for . Finally, since for and since by Lemma 2.1 the function is increasing on , follows. This completes the proof.
2.3. Main Results
Positive solutions of problem (1.6a)-(1.6b) are analyzed in the following theorem.
Let be a positive solution of problem (1.6a)-(1.6b) for . By Lemma 2.6, (2.31) holds with and . Furthermore, by Lemmas 2.2(ii) and 2.6, , which together with (2.29) implies that . Consequently, . For , problem (1.6a)-(1.6b) has the unique positive solution ; see Remark 2.8. Since , . Consequently, if problem (1.6a)-(1.6b) has a positive solution, then .
The following theorem deals with multiple positive solutions of problem (1.6a)-(1.6b).
By Lemmas 2.2(iii) and 2.3, , , and in a right neighbourhood of . Hence, . Let us choose . Then there exist such that for . Now Theorem 2.10 guarantees that problem (1.6a)-(1.6b) has positive solutions and such that , . Since , we have and therefore, for each , problem (1.6a)-(1.6b) has multiple positive solutions.
where and are given by (2.1) and (2.56), respectively. The result follows by showing that equation (2.57) has a unique solution and that this solution is a pseudo dead core solution of problem (1.6a)-(1.6b). We verify these facts for solutions of (2.57) arguing as in the proof of Theorem 2.10, with replaced by 0.
In the final theorem below, we deal with dead core solutions of problem (1.6a)-(1.6b).
Let the subinterval be the dead core of a dead core solution of problem (1.6a)-(1.6b). Then, by Lemma 2.9, equalities (2.40) and (2.41) hold with replaced by and . Since by the definition of the function , we have . Equality (2.59) now follows from (2.40) with and replaced by and , respectively.
3. Numerical Treatment
For the numerical solution of (3.1), we are using the collocation method implemented in our Matlab code bvpsuite. It is a new version of the general purpose Matlab code sbvp, compare [10–12]. This code has already been used to treat a variety of problems relevant in application; see, for example, [13–17]. Collocation is a widely used and well-studied standard solution method for two-point boundary value problems, compare  and the references therein. It can also be successfully applied to boundary value problems with singularities.
and the associated boundary conditions (3.2b).
Classical theory, compare , predicts that the convergence order for the global error of the method is at least , where is the maximal stepsize, To increase efficiency, an adaptive mesh selection strategy based on an a posteriori estimate for the global error of the collocation solution is utilized. A more detailed description of the numerical approach can be found in .
where is given. The path following strategy can also cope with turning points in the path. The theoretical justification for the path following strategy implemented in bvpsuite has been given in .
We first study the boundary problem (1.9a)-(1.9b). Positive solutions of problem (1.5a)-(1.5b) will be discussed in Section 3.4.
3.1. Positive Solutions
3.2. Pseudo Dead Core Solutions
3.3. Dead Core Solutions
3.4. Positive Solutions of Problem (1.5a)-(1.5b)
This work was supported by the Austrian Science Fund Project P17253 and supported by Grant no. A100190703 of the Grant Agency of the Academy of Science of the Czech Republic and by the Council of Czech Government MSM 6198959214.
- Aris R: The Mathematical Theory of Diffusion and Reaction in Permeable Catalysts. Clarendon Press, Oxford, UK; 1975.Google Scholar
- Baxley JV, Gersdorff GS: Singular reaction-diffusion boundary value problems. Journal of Differential Equations 1995,115(2):441-457. 10.1006/jdeq.1995.1022MATHMathSciNetView ArticleGoogle Scholar
- Agarwal RP, O'Regan D, Staněk S:Dead core problems for singular equations with -Laplacian. Boundary Value Problems 2007, 2007:-16.Google Scholar
- Staněk S, Pulverer G, Weinmüller EB: Analysis and numerical simulation of positive and dead-core solutions of singular two-point boundary value problems. Computers & Mathematics with Applications 2008,56(7):1820-1837. 10.1016/j.camwa.2008.03.029MATHMathSciNetView ArticleGoogle Scholar
- Agarwal RP, O'Regan D, Staněk S:Positive and dead core solutions of singular Dirichlet boundary value problems with -Laplacian. Computers & Mathematics with Applications 2007,54(2):255-266. 10.1016/j.camwa.2006.12.026MATHMathSciNetView ArticleGoogle Scholar
- Agarwal RP, O'Regan D, Staněk S:Dead cores of singular Dirichlet boundary value problems with -Laplacian. Applications of Mathematics 2008,53(4):381-399. 10.1007/s10492-008-0031-zMATHMathSciNetView ArticleGoogle Scholar
- Bobisud LE: Asymptotic dead cores for reaction-diffusion equations. Journal of Mathematical Analysis and Applications 1990,147(1):249-262. 10.1016/0022-247X(90)90396-WMATHMathSciNetView ArticleGoogle Scholar
- Bobisud LE: Behavior of solutions for a Robin problem. Journal of Differential Equations 1990,85(1):91-104. 10.1016/0022-0396(90)90090-CMATHMathSciNetView ArticleGoogle Scholar
- Bobisud LE, O'Regan D, Royalty WD: Existence and nonexistence for a singular boundary value problem. Applicable Analysis 1988,28(4):245-256. 10.1080/00036818808839765MATHMathSciNetView ArticleGoogle Scholar
- Auzinger W, Koch O, Weinmüller E: Efficient collocation schemes for singular boundary value problems. Numerical Algorithms 2002,31(1–4):5-25. 10.1023/A:1021151821275MATHMathSciNetView ArticleGoogle Scholar
- Auzinger W, Kneisl G, Koch O, Weinmüller E: A collocation code for singular boundary value problems in ordinary differential equations. Numerical Algorithms 2003,33(1–4):27-39. 10.1023/A:1025531130904MATHMathSciNetView ArticleGoogle Scholar
- Kitzhofer G: Numerical treatment of implicit singular BVPs, Ph.D. thesis. Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria;
- Budd CJ, Koch O, Weinmüller E: Self-similar blow-up in nonlinear PDEs. Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria; 2004.Google Scholar
- Budd CJ, Koch O, Weinmüller E: Computation of self-similar solution profiles for the nonlinear Schrödinger equation. Computing 2006,77(4):335-346. 10.1007/s00607-005-0157-8MATHMathSciNetView ArticleGoogle Scholar
- Budd CJ, Koch O, Weinmüller E: Fron nonlinear PDEs to singular ODEs. Applied Numerical Mathematics 2006,56(3-4):413-422. 10.1016/j.apnum.2005.04.012MATHMathSciNetView ArticleGoogle Scholar
- Kitzhofer G, Koch O, Lima P, Weinmüller E: Efficient numerical solution of the density profile equation in hydrodynamics. Journal of Scientific Computing 2007,32(3):411-424. 10.1007/s10915-007-9141-0MATHMathSciNetView ArticleGoogle Scholar
- Rachůnková I, Koch O, Pulverer G, Weinmüller E: On a singular boundary value problem arising in the theory of shallow membrane caps. Journal of Mathematical Analysis and Applications 2007,332(1):523-541. 10.1016/j.jmaa.2006.10.006MATHMathSciNetView ArticleGoogle Scholar
- Ascher UM, Mattheij RMM, Russell RD: Numerical Solution of Boundary Value Problems for Ordinary Differential Equations, Prentice Hall Series in Computational Mathematics. Prentice Hall, Englewood Cliffs, NJ, USA; 1988:xxiv+595.Google Scholar
- Kitzhofer G, Koch O, Weinmüller EB: Pathfollowing for essentially singular boundary value problems with application to the complex Ginzburg-Landau equation. BIT. Numerical Mathematics 2009,49(1):141-160. 10.1007/s10543-008-0208-6MATHMathSciNetView ArticleGoogle Scholar
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