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Metrics of curves in shape optimization and analysis - Andrea Carlo ...

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MO cW ccBVcΠ[c]Figure 20: The vertical <strong>and</strong> horizontal spaces, <strong>and</strong> the projection Π from M toB.This theorem is verified when G is a Sobolev-type metrics, see §4.5 <strong>in</strong> [36]; <strong>and</strong>it is trivially verified by H 0 .Def<strong>in</strong>ition 11.12 The horizontally projected metric G ⊥ is def<strong>in</strong>ed bywhere ˜h, ˜k are the projections <strong>of</strong> h, k to W c .〈h, k〉 G ⊥ ,c := 〈˜h, ˜k〉 G,c (11.2)Proposition 11.13 Equivalently the norm ‖h‖ G ⊥can be def<strong>in</strong>ed by‖h‖ G ⊥where the <strong>in</strong>fimum is <strong>in</strong> the class <strong>of</strong> smooth b : S 1 → lR.Pro<strong>of</strong>. Indeed by the projection theorem,= <strong>in</strong>fb ‖h + bc′ ‖ G (11.3)<strong>in</strong>f ‖h +bbc′ ‖ G = ‖˜h‖ Gwhere ˜h is the projections <strong>of</strong> h to W c . By polarization we obta<strong>in</strong> (11.2).It is easy to prove that G ⊥ is curve-wise parameterization <strong>in</strong>variant, but moreoverProposition 11.14 G ⊥ is homotopy-wise parameterization <strong>in</strong>variant.Pro<strong>of</strong>. Let ˜C(t, θ) = C(t, ϕ(t, θ)), then∂ t ˜C = ∂t C + C ′ ϕ ′so at any given time t‖∂ t ˜C(t, ·)‖G ⊥ = ‖∂ t C + C ′ ϕ ′ ‖ G ⊥ = ‖∂ t C‖ G ⊥95

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