2015
DOI: 10.1137/140966654
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A Posteriori Modeling Error Estimates for the Assumption of Perfect Incompressibility in the Navier--Stokes Equation

Abstract: We derive a posteriori estimates for the modeling error caused by the assumption of perfect incompressibility in the incompressible Navier-Stokes equation: Real fluids are never perfectly incompressible, but always feature at least some low amount of compressibility. Thus, their behavior is described by the compressible Navier-Stokes equation, the pressure being a steep function of the density. We rigorously estimate the difference between an approximate solution to the incompressible Navier-Stokes equation an… Show more

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Cited by 16 publications
(15 citation statements)
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“…It is worth observing that, in view of ( 29), the strong solution additionally satisfies (30); moreover, thanks to the last condition in (27a), both the weak and the strong solution comply with (25).…”
Section: Assumptions and Main Resultsmentioning
confidence: 97%
See 2 more Smart Citations
“…It is worth observing that, in view of ( 29), the strong solution additionally satisfies (30); moreover, thanks to the last condition in (27a), both the weak and the strong solution comply with (25).…”
Section: Assumptions and Main Resultsmentioning
confidence: 97%
“…3.2 does not depend on ε in the case of the additional assumption (24). The strong convergence (62) preserves this pointwise lower bound, which results in (25). In this case, the sequence {log θ ε } is bounded in L ∞ (0, T ; L q (Ω)) due to the lower bound and (69).…”
Section: Convergence Of the Approximate Solutionsmentioning
confidence: 83%
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“…and u n as in (7). Note that the mass matrix in this case is just the identity since the eigenfunctions w i are orthonormal with respect to the L 2 -inner product.…”
Section: Existence Of Weak Solutionsmentioning
confidence: 99%
“…Such a relative energy inequality can be employed to a variety of uses, such as showing the stability of equilibria (e.g. in Feireisl [2]), deriving a posteriori estimates for modelling errors (see Fischer [3]) or as the basis of a generalised concept of solution (e.g. in Lasarzik [5]).…”
Section: Introductionmentioning
confidence: 99%