2007
DOI: 10.1093/imanum/drl036
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A posteriori estimates for approximations of time-dependent Stokes equations

Abstract: Abstract. In this paper we derive a posteriori error estimates for space discrete approximations of the time dependent Stokes equations. By using an appropriate Stokes reconstruction operator we are able to write an auxiliary error equation in pointwise form that satisfies the exact divergence free condition. Thus standard energy estimates from pde theory can be applied directly to yield a posteriori estimates that rely on available corresponding estimates of the stationary Stokes equation.Estimates of optimal… Show more

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Cited by 12 publications
(12 citation statements)
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“…Stokes reconstruction. The Stokes reconstruction, introduced in [27], is a key point in the a posteriori error analysis. One of its main advantages in the error analysis is that this reconstruction restores the divergence free condition of the error quantity, which otherwise is lost, and thus allows the application of various analytical techniques to derive the estimates.…”
Section: Preliminariesmentioning
confidence: 99%
“…Stokes reconstruction. The Stokes reconstruction, introduced in [27], is a key point in the a posteriori error analysis. One of its main advantages in the error analysis is that this reconstruction restores the divergence free condition of the error quantity, which otherwise is lost, and thus allows the application of various analytical techniques to derive the estimates.…”
Section: Preliminariesmentioning
confidence: 99%
“…The estimators are based on the methodology developed in [2,3,28] and then further used in [5,11,12,22]. The key point is the definition of an auxiliary function, called reconstruction, i.e.…”
Section: Aimmentioning
confidence: 99%
“…It is interesting to note the successful application of the ideas of Section 2 in the case of time dependent Stokes equations, [18,19]. The problem with Stokes (and therefore with Navier-Stokes) is twofold.…”
Section: Remarks-extensionsmentioning
confidence: 99%