Polynomial Regression on Riemannian Manifolds
Polynomial Regression on Riemannian Manifolds
Polynomial Regression on Riemannian Manifolds
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For any smooth family of curves γ s (t), we have<br />
[ d<br />
ds γ s(t), d dt γ s(t)]<br />
= [W, ˙γ s ] = 0<br />
so<br />
We also need the Leibniz rule<br />
∇ W ˙γ = ∇ ˙γ W.<br />
d<br />
ds 〈X, Y 〉| s=0 = 〈∇ W X, Y 〉 + 〈X, ∇ W Y 〉,<br />
And the Riemann curvature tensor<br />
R(X, Y )Z = ∇ X ∇ Y Z − ∇ Y ∇ X Z − ∇ [X,Y ] Z<br />
∇ W ∇ ˙γ Z = ∇ ˙γ ∇ W Z + R(W, ˙γ)Z<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> 12