1996
DOI: 10.1090/s0025-5718-96-00753-3
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A uniformly convergent method for a singularly perturbed semilinear reaction–diffusion problem with multiple solutions

Abstract: Abstract. This paper considers a simple central difference scheme for a singularly perturbed semilinear reaction-diffusion problem, which may have multiple solutions. Asymptotic properties of solutions to this problem are discussed and analyzed. To compute accurate approximations to these solutions, we consider a piecewise equidistant mesh of Shishkin type, which contains O(N ) points. On such a mesh, we prove existence of a solution to the discretization and show that it is accurate of order N −2 ln 2 N , in … Show more

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Cited by 25 publications
(30 citation statements)
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“…A one-dimensional version of problem (1.1) was studied in [5,17,8]. The present paper extends the analysis [8] to two dimensions.…”
Section: Note That If G(x)mentioning
confidence: 61%
“…A one-dimensional version of problem (1.1) was studied in [5,17,8]. The present paper extends the analysis [8] to two dimensions.…”
Section: Note That If G(x)mentioning
confidence: 61%
“…First we want to estimate the expressions containing only the first derivatives in the RHS of inequality (26). From the identity a n −b n = (a−b)(a n−1 +a n−2 b+.…”
Section: Lemma 43 On the Part Of The Modified Shishkin Mesh (16) Wherementioning
confidence: 99%
“…Now we want to estimate the terms containing the second derivatives from the RHS of (26). Using inequality (19) we get that…”
Section: Lemma 43 On the Part Of The Modified Shishkin Mesh (16) Wherementioning
confidence: 99%
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“…In [5] it was shown that numerical methods based on uniform meshes cannot be parameter uniform for semilinear singularly perturbed problems. Sun and Stynes [14] constructed finite difference schemes based on piecewise-uniform meshes for semilinear problems whose solutions exhibit only boundary layer structure. In this paper we are primarily interested in the interior layer behaviour introduced by the discontinuity of f .…”
Section: Introductionmentioning
confidence: 99%