2019
DOI: 10.4310/jdg/1567216953
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Nonlinear stability results for the modified Mullins–Sekerka and the surface diffusion flow

Abstract: It is shown that any three-dimensional periodic configuration that is strictly stable for the area functional is exponentially stable for the surface diffusion flow and for the Mullins-Sekerka or Hele-Shaw flow. The same result holds for three-dimensional periodic configurations that are strictly stable with respect to the sharp-interface Ohta-Kawaski energy. In this case, they are exponentially stable for the so-called modified Mullins-Sekerka flow.

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Cited by 17 publications
(32 citation statements)
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“…In order to control the two last terms in (5.1) we need the following interpolation result on the evolving boundaries. The proof of the next lemma is precisely the same as [1,Lemma 4.7] and therefore we omit it.…”
Section: Asymptotic Stabilitymentioning
confidence: 99%
See 2 more Smart Citations
“…In order to control the two last terms in (5.1) we need the following interpolation result on the evolving boundaries. The proof of the next lemma is precisely the same as [1,Lemma 4.7] and therefore we omit it.…”
Section: Asymptotic Stabilitymentioning
confidence: 99%
“…A crucial role in this analysis is played by the energy identity proven in Proposition 5.3 and by the estimates on the flow provided by Theorem 4.4. Let us remark that such estimates allow us also to considerably simplify the arguments of [1] and to obtain stronger asymptotic convergence results. This paper is organized as follows.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The focus of the paper is the long-time behaviour of flat flows in two dimensions. Previous results on the long-time convergence of volume preserving flows are mostly confined to the case of smooth solutions starting from specific classes of initial regular sets, see for instance [18,24,37] for the volume preserving mean curvature flow and [1,9,19,23] for the Mullins-Sekerka flow. For less general initial data, the long time behaviour of the volume preserving mean curvature flow starting from convex and star-shaped sets (see [6,26]) has been characterized only up to (possibly diverging in the case of [6]) translations.…”
Section: Introductionmentioning
confidence: 99%
“…The larger the number of fuzzy rules is, the higher the precision is. However, when the number of rules of fuzzy reasoning is large, the calculation is complex and in some cases, no common positive definite matrix can be found to meet the stability conditions (Acerbi et al, 2016;Guo et al, 2017).…”
Section: Introductionmentioning
confidence: 99%