Metrics of curves in shape optimization and analysis - Andrea Carlo ...
Metrics of curves in shape optimization and analysis - Andrea Carlo ...
Metrics of curves in shape optimization and analysis - Andrea Carlo ...
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9.3 Conformal metricsYezzi <strong>and</strong> Mennucci [67] proposed to change the metric, from H 0 to a conformalmetric∫〈h 1 , h 2 〉 H 0 = ψ(c) 〈hψ1 , h 2 〉 dscwhere ψ(c) associates to each curve c a positive number. Then the gradientdescent flow <strong>of</strong> an energy E def<strong>in</strong>ed on <strong>curves</strong> C(t, ·) is∂C∂t = −∇ψ E(C) = − 1ψ(C) ∇E(C)where ∇E(C) is the gradient for the H 0 metric. This is equivalent to a change<strong>of</strong> time variable t <strong>in</strong> the gradient descent flow. So all properties <strong>of</strong> the flows areunaffected if we switch from a H 0 to a conformal-H 0 metric.Properties 9.2 Consider a conformal metric where ψ(c) depends (monotonically)on the length len(c) <strong>of</strong> the curve.• If ψ(c) ≥ len(c), the <strong>in</strong>duced metric is non degenerate;• unfortunately, accord<strong>in</strong>g to a result by Shah [50], when ψ(c) ≡ L(c) veryfew (m<strong>in</strong>imal) geodesics do exist (only “grassfire” geodesics, mov<strong>in</strong>g byconstant normal speed).9.4 “Rigidified” normsCharpiat et al.[10] consider norms that favor pre-specified rigid motions. Theydecompose a motion h us<strong>in</strong>g the H 0 projection ash = h rigid+ h restwhere h rigidconta<strong>in</strong>s the rigid part <strong>of</strong> the motion; then they choose λ large, <strong>and</strong>construct the norm‖h‖ 2 rigid = λ‖h rigid ‖2 H 0 + ‖h rest ‖2 H 0.Note that these norms are equivalent to the H 0 -type norm; as a result the<strong>in</strong>duced distance is (aga<strong>in</strong>) degenerate.10 Sobolev type Riemannian metricsIn this part we discuss the Sobolev norms, with applications <strong>and</strong> experiments.What follows summarizes [55, 57, 58, 35].60