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Polynomial Regression on Riemannian Manifolds

Polynomial Regression on Riemannian Manifolds

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Lagrange multiplier (adjoint) vector fields λ i al<strong>on</strong>g γ:<br />

E ∗ (γ, {v i }, {λ i }) =<br />

N∑<br />

g i (γ(t i )) +<br />

i=1<br />

∑k−1<br />

+<br />

i=1<br />

∫ T<br />

0<br />

∫ T<br />

0<br />

〈λ 0 , ˙γ − v 1 〉dt<br />

〈λ i , ∇ ˙γ v i − v i+1 〉dt +<br />

Euler-Lagrange for {λ i } gives forward system.<br />

Vector field integrati<strong>on</strong> by parts:<br />

∫ T<br />

0<br />

〈λ i , ∇ ˙γ v i 〉dt = [〈λ i , v i 〉] T 0 −<br />

∫ T<br />

0<br />

∫ T<br />

0<br />

〈∇ ˙γ λ i , v i 〉dt<br />

〈λ k , ∇ ˙γ v k 〉dt<br />

<str<strong>on</strong>g>Polynomial</str<strong>on</strong>g> <str<strong>on</strong>g>Regressi<strong>on</strong></str<strong>on</strong>g> <strong>on</strong> <strong>Riemannian</strong> <strong>Manifolds</strong> 9

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