2004
DOI: 10.1007/bf02922072
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Some properties of the distance function and a conjecture of De Giorgi

Abstract: In the paper [2] Ennio De Giorgi conjectured that any compact ndimensional regular submanifold M of R n+m , moving by the gradient of the functionalwhere η M is the square of the distance function from the submanifold M and H n is the n-dimensional Hausdorff measure in R n+m , does not develop singularities in finite time provided k is large enough, depending on the dimension n. We prove this conjecture by means of the analysis of the geometric properties of the high derivatives of the distance function from a… Show more

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Cited by 6 publications
(8 citation statements)
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“…for any x ∈ R n+m (we will drop the superscript M when no ambiguity is possible). In this section we recall some facts from [2] and [14] about the distance function and the relations between the high derivatives of η M and the second fundamental form of M.…”
Section: Notation and Preliminariesmentioning
confidence: 99%
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“…for any x ∈ R n+m (we will drop the superscript M when no ambiguity is possible). In this section we recall some facts from [2] and [14] about the distance function and the relations between the high derivatives of η M and the second fundamental form of M.…”
Section: Notation and Preliminariesmentioning
confidence: 99%
“…We can see then that (1.1) is a singular perturbation of the mean curvature flow, and coincides with it when ε = 0. In [14] (see also [13] and [26]) it is proved that for every ε > 0 the system in (1.1) admits a unique smooth solution defined for all times; we are then interested in the convergence to the mean curvature flow when ε → 0. Our main result is the following.…”
Section: Introductionmentioning
confidence: 99%
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“…These equations have been already proposed in [19], where (1.9) has been analytically studied. To the best of our knowledge, no analytical results exist in literature for (1.8), unless we restrict ourselves to the case without elasticity, as in [8,9,13,17,39] (see also [5,6]). …”
Section: Introductionmentioning
confidence: 99%
“…The smoothness of the nearest point retraction is classical [27]. For related computations on the distance function to embedded manifolds, we refer the reader to [3,26]. For every y ∈ N δ N and v ∈ R ν , we have by orthogonality…”
mentioning
confidence: 99%