Volume 25, 2019
|Number of page(s)||30|
|Published online||15 April 2019|
Sub-Riemannian geometry and swimming at low Reynolds number: the Copepod case★
Laboratoire de Mathématiques Unité CNRS UMR 6205, Université de Bretagne Occidentale,
6, Avenue Victor Le Gorgeu,
2 Institut de Mathématiques de Bourgogne et Inria Sophia Antipolis, 9 avenue Savary, 21078 Dijon, France.
3 Institut de Mathématiques de Bourgogne, 9 avenue Savary, 21078 Dijon, France.
4 LAAS-CNRS, Université de Toulouse, LAAS, 31031 Toulouse Cedex 4, France.
* Corresponding author: email@example.com
Accepted: 27 October 2017
In Takagi [Phys. Rev. E 92 (2015) 023020], based on copepod observations, Takagi proposed a model to interpret the swimming behaviour of these microorganisms using sinusoidal paddling or sequential paddling followed by a recovery stroke in unison, and compares them invoking the concept of efficiency. Our aim is to provide an interpretation of Takagi’s results in the frame of optimal control theory and sub-Riemannian geometry. The maximum principle is used to select two types of periodic control candidates as minimizers: sinusoidal up to time reparameterization and the sequential paddling, interpreted as an abnormal stroke in sub-Riemannian geometry. Geometric analysis combined with numerical simulations are decisive tools to compute the optimal solutions, refining Takagi computations. A family of simple strokes with small amplitudes emanating from a center is characterized as an invariant of SR-geometry and allows to identify the metric used by the swimmer. The notion of efficiency is discussed in detail and related with normality properties of minimizers.
Mathematics Subject Classification: 70Q05 / 93C10 / 49K15
Key words: Stokes flow / optimal control theory / sub-Riemannian geometry / abnormal closed geodesics
© EDP Sciences, SMAI 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.