Abstract

The objective of this article is to present the seminal concepts and techniques of Sub-Riemannian geometry and Hamiltonian dynamics, complemented by adapted software to analyze the dynamics of the copepod micro-swimmer, where the model of swimming is the slender body approximation for Stokes flows in fluid dynamics. In this context, the copepod model is a simplification of the 3-link Purcell swimmer and is relevant to analyze more complex micro-swimmers. The mathematical model is validated by observations performed by Takagi’s team of Hawaii laboratory, showing the agreement between the predicted and observed motions. Sub-Riemannian geometry is introduced, assuming that displacements are minimizing the expanded mechanical energy of the micro-swimmer. This allows to compare different strokes and different micro-swimmers and minimizing the expanded mechanical energy of the micro-swimmer. The objective is to maximize the efficiency of a stroke (the ratio between the displacement produced by a stroke and its length). Using the Maximum Principle in the framework of Sub-Riemannian geometry, this leads to analyze family of periodic controls producing strokes to determine the most efficient one. Graded normal forms introduced in Sub-Riemannian geometry to evaluate spheres with small radius is the technique used to evaluate the efficiency of different strokes with small amplitudes, and to determine the most efficient stroke using a numeric homotopy method versus standard direct computations based on Fourier analysis. Finally a copepod robot is presented whose aim is to validate the computations and very preliminary results are given.

Highlights

  • 1 Introduction Sub-Riemannian (SR) geometry in the framework of geometric optimal control was first explored in the seminal article [17]

  • A pause for those computations based on symbolic software was observed but a revival is motivated with the development of a specific software based on numerical continuation methods in optimal control [3]

  • 6 Conclusion The aim of this short survey article is to present the combination of mathematical and numeric tools recently introduced in optimal control and applicable to analyze the problem of swimming at low Reynolds

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Summary

Introduction

Sub-Riemannian (SR) geometry in the framework of geometric optimal control was first explored in the seminal article [17]. This article contains the main geometric ingredients developed in our article in relation with micro-swimmers : the Heisenberg-Brockett-Dido model and the evaluation of conjugate-cut loci and small SRspheres using normal coordinates. Bonnard et al Pacific Journal of Mathematics for Industry (2018) 10:2 of a magnetic field In this framework, closed geodesics calculations correspond precisely to stroke’s computations for micro-swimmers. This is a generalization of the Dido problem in calculus of variations and a very technical study [2] using tools developed in [19], has provided the asymptotics of the conjugate and cut loci.

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