1997
DOI: 10.1090/s0025-5718-97-00817-x
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On convergence of numerical schemes for hyperbolic conservation laws with stiff source terms

Abstract: Abstract. We deal in this study with the convergence of a class of numerical schemes for scalar conservation laws including stiff source terms. We suppose that the source term is dissipative but it is not necessarily a Lipschitzian function. The convergence of the approximate solution towards the entropy solution is established for first and second order accurate MUSCL and for splitting semi-implicit methods.

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Cited by 27 publications
(38 citation statements)
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“…By a similar proof as in [6], we make use of Helly's theorem to get a subsequence extracted from (u h ) which converges toward the entropy solution of (1.1)-(1.2), and the uniqueness of the entropy satisfying solution ensures that all the sequence (u h ) converges toward the entropy satisfying solution u of problem (1.1)-(1.2) as h tends toward zero.…”
Section: Convergence Of Relaxation Schemes 961mentioning
confidence: 99%
See 1 more Smart Citation
“…By a similar proof as in [6], we make use of Helly's theorem to get a subsequence extracted from (u h ) which converges toward the entropy solution of (1.1)-(1.2), and the uniqueness of the entropy satisfying solution ensures that all the sequence (u h ) converges toward the entropy satisfying solution u of problem (1.1)-(1.2) as h tends toward zero.…”
Section: Convergence Of Relaxation Schemes 961mentioning
confidence: 99%
“…The approximation of the stiff case was recently studied by several authors (see [2], [6], [8], [13], [15], [17], [19], [25], and [26]), where different methods like asymptotic or splitting methods are used.…”
Section: Introductionmentioning
confidence: 99%
“…Approximate numerical solutions given by scheme (7) to the Linear hyperbolic PDE (6), are shown in Figure 1, along with smooth Gaussian initial condition ( , 0) = ( ) = − 2 . It is shown initial condition (top left) and computed solutions at t = 2 (top right), t = 4 (bottom left) and t = 8 (bottom right) with CFL number = where the diffusion is in balance or dominates the dispersion, the above numerical experiments related to those in Figure 1, illustrate the fact of entire truncation error vanishing (see right picture) at all grid points under grid refinement, as expected from previous theoretical analysis.…”
Section: Numerical Experimentsmentioning
confidence: 99%
“…For example, when the source term is a non-increasing function, the total variation of the exact solution of the scalar balance law is also a nonincreasing function, as in the homogeneous case (see, e.g., [16,10]). In general, however, the source term might not be decreasing (see [6,11,27]) and some semiimplicit and fully implicit scheme are not applicable, at least in a straightforward manner [6,11].…”
Section: Introductionmentioning
confidence: 99%
“…We point out that, due to the introduction of piecewise linear reconstructions of the function z, the differences of discrete interfacial values approximate the second order derivative, as given in (4.10), and the upwind part (4.23) of the discretization (2.13) "overtakes" the desired result; an additional term (4.27) is thus needed to recover the first order derivatives from the Taylor expansions of the source term (4.22). Moreover, some restrictions (4.31) on the definition of the slope limiter are also required, to guarantee the occurrence of suitable error estimates (refer also to [5], [21] and [22]). Without these assumptions, only suboptimal results are derived (see [18] and [34], for instance).…”
Section: Remarks and Numerical Evidencementioning
confidence: 99%