TY - JOUR
T1 - A priori error estimates for numerical methods for scalar conservation laws. Part I
T2 - The general approach
AU - Cockburn, Bernardo
AU - Gremaud, Pierre Alain
PY - 1996/4
Y1 - 1996/4
N2 - In this paper, we construct a general theory of a priori error estimates for scalar conservation laws by suitably modifying the original Kuznetsov approximation theory. As a first application of this general technique, we show that error estimates for conservation laws can be obtained without having to use explicitly any regularity properties of the approximate solution. Thus, we obtain optimal error estimates for the Engquist-Osher scheme without using the fact (i) that the solution is uniformly bounded, (ii) that the scheme is total variation diminishing, and (iii) that the discrete semigroup associated with the scheme has the L1-contraction property, which guarantees an upper bound for the modulus of continuity in time of the approximate solution.
AB - In this paper, we construct a general theory of a priori error estimates for scalar conservation laws by suitably modifying the original Kuznetsov approximation theory. As a first application of this general technique, we show that error estimates for conservation laws can be obtained without having to use explicitly any regularity properties of the approximate solution. Thus, we obtain optimal error estimates for the Engquist-Osher scheme without using the fact (i) that the solution is uniformly bounded, (ii) that the scheme is total variation diminishing, and (iii) that the discrete semigroup associated with the scheme has the L1-contraction property, which guarantees an upper bound for the modulus of continuity in time of the approximate solution.
KW - A priori error estimates
KW - Conservation laws
KW - Monotone schemes
UR - http://www.scopus.com/inward/record.url?scp=0030360067&partnerID=8YFLogxK
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U2 - 10.1090/S0025-5718-96-00701-6
DO - 10.1090/S0025-5718-96-00701-6
M3 - Article
AN - SCOPUS:0030360067
SN - 0025-5718
VL - 65
SP - 533
EP - 573
JO - Mathematics of Computation
JF - Mathematics of Computation
IS - 214
ER -