2013
DOI: 10.1142/s0218202513500437
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SOLENOIDAL LIPSCHITZ TRUNCATION FOR PARABOLIC PDEs

Abstract: We consider functions u ∈ L ∞ (L 2 ) ∩ L p (W 1,p ) with 1 < p < ∞ on a time space domain. Solutions to non-linear evolutionary PDE's typically belong to these spaces. Many applications require a Lipschitz approximation u λ of u which coincides with u on a large set. For problems arising in fluid mechanics one needs to work with solenoidal (divergence-free) functions. Thus, we construct a Lipschitz approximation, which is also solenoidal. As an application we revise the existence proof for non-stationary gener… Show more

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Cited by 57 publications
(92 citation statements)
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“…This discrete Lipschitz truncation is a composition of a continuous Lipschitz truncation with a projection onto the finite element space. The continuous Lipschitz truncation used here is based on results from [DMS08,BDF12,BDS13], which provides finer estimates than the original Lipschitz truncation technique proposed by Acerbi and Fusco in [AF88]; for details consider [DKS13].…”
Section: We Have That There Exists a Not Relabelled Weakly Convergingmentioning
confidence: 99%
“…This discrete Lipschitz truncation is a composition of a continuous Lipschitz truncation with a projection onto the finite element space. The continuous Lipschitz truncation used here is based on results from [DMS08,BDF12,BDS13], which provides finer estimates than the original Lipschitz truncation technique proposed by Acerbi and Fusco in [AF88]; for details consider [DKS13].…”
Section: We Have That There Exists a Not Relabelled Weakly Convergingmentioning
confidence: 99%
“…The bound p > • It is not clear if it is possible to improve the result from Theorem 3 to p > 2d d+2 as in the deterministic case. The papers [16] and [7] use the Lipschitz truncation method. Despite the L ∞ -truncation the Lipschitz truncation is not only nonlinear but also nonlocal (in space-time in the parabolic case).…”
Section: Remarkmentioning
confidence: 99%
“…In this situation we have that (∇v)v ∈ L 1 (Q) and therefore we can test with functions from L ∞ (Q). The basic idea (which was already used in the stationary case in [21] together with the bound p ≥ 2d d+1 ) is to approximate v by a bounded function v λ which is equal to v on a large set and its L ∞ -norm can be controlled by λ. Wolf's result was improved to p > 2d d+2 in [16] and [7] by the Lipschitz truncation method. Under this restriction to p we have v ⊗ v ∈ L 1 (Q) which means we can test by Lipschitz continuous functions.…”
Section: Introductionmentioning
confidence: 99%
“…Theorem 2.10.43 in [Fed69]) and uses an additional truncation of v with respect to M (v). This can be avoided by proceeding similarly as in [BDF12,BDS13], i.e., extending v |H λ (v) by means of a partition of unity on a Whitney covering of the open and bounded set U λ (v). To this end, we assume w.l.o.g.…”
Section: Discrete Lipschitz Truncationmentioning
confidence: 99%