2018
DOI: 10.1007/s10455-018-9595-3
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Kähler structures on spaces of framed curves

Abstract: We consider the space M of Euclidean similarity classes of framed loops in R 3 . Framed loop space is shown to be an infinite-dimensional Kähler manifold by identifying it with a complex Grassmannian. We show that the space of isometrically immersed loops studied by Millson and Zombro is realized as the symplectic reduction of M by the action of the based loop group of the circle, giving a smooth version of a result of Hausmann and Knutson on polygon space. The identification with a Grassmannian allows us to d… Show more

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Cited by 9 publications
(16 citation statements)
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“…The following theorem relates the complicated metric g S on framed path space to this simple L 2 -metric. This result is stated in [30], but not proved. We include a proof in the appendix (Section 7.1).…”
Section: The Classical Hopf Mapmentioning
confidence: 85%
See 3 more Smart Citations
“…The following theorem relates the complicated metric g S on framed path space to this simple L 2 -metric. This result is stated in [30], but not proved. We include a proof in the appendix (Section 7.1).…”
Section: The Classical Hopf Mapmentioning
confidence: 85%
“…We then utilize quaternionic algebra to give a coordinate transformation which flattens a particular choice of framed curve elastic metric. This construction was described in previous articles [31,30], where the focus was on symplectic geometry and theoretical applications. The exposition provided here is focused on algorithms and applications to shape analysis.…”
Section: Main Contributions Andmentioning
confidence: 99%
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“…The construction for open framed curves is classical and widely-used. For closed framed curves, we will use recent work of the author which shows that the space of periodic framed loops corresponds to an infinite-dimensional Grassmann manifold [24]. We show that, in either case, the generalized energy functional E transforms into the Riemannian energy functional on quaternionic path space (Corollary 2.4) and we use this to give a simple expression for the gradient of E (Corollary 2.5).…”
Section: 3mentioning
confidence: 99%