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An improved numerical method for hyperbolic Lagrangian Coherent Structures using Differential Algebra

An improved numerical method for hyperbolic Lagrangian Coherent Structures using Differential Algebra
An improved numerical method for hyperbolic Lagrangian Coherent Structures using Differential Algebra
In dynamical systems, it is advantageous to identify regions of flow which can exhibit maximal influence on nearby behaviour. Hyperbolic Lagrangian Coherent Structures have been introduced to obtain two-dimensional surfaces which maximise repulsion or attraction in three-dimensional dynamical systems with arbitrary time-dependence. However, the numerical method to compute them requires obtaining derivatives associated with the system, often performed through the approximation of divided differences, which can lead to significant numerical error and numerical noise. In this paper, we introduce a novel method for the numerical calculation of hyperbolic Lagrangian Coherent Structures using Differential Algebra called DA-LCS. As a form of automatic forward differentiation, it allows direct computation of the Taylor expansion of the flow, its derivatives, and the eigenvectors of the associated strain tensor, with all derivatives obtained algebraically and to machine precision. It does so without a priori information about the system, such as variational equations or explicit derivatives. We demonstrate that this can provide significant improvements in the accuracy of the Lagrangian Coherent Structures identified compared to finite-differencing methods in a series of test cases drawn from the literature. We also show how DA-LCS uncovers additional dynamical behaviour in a real-world example drawn from astrodynamics.
1877-7503
Tyler, Jack
c8a09eb1-5473-4d87-9446-2443f22b689d
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
Tyler, Jack
c8a09eb1-5473-4d87-9446-2443f22b689d
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201

Tyler, Jack and Wittig, Alexander (2022) An improved numerical method for hyperbolic Lagrangian Coherent Structures using Differential Algebra. Journal of Computational Science, 65, [101883]. (doi:10.1016/j.jocs.2022.101883).

Record type: Article

Abstract

In dynamical systems, it is advantageous to identify regions of flow which can exhibit maximal influence on nearby behaviour. Hyperbolic Lagrangian Coherent Structures have been introduced to obtain two-dimensional surfaces which maximise repulsion or attraction in three-dimensional dynamical systems with arbitrary time-dependence. However, the numerical method to compute them requires obtaining derivatives associated with the system, often performed through the approximation of divided differences, which can lead to significant numerical error and numerical noise. In this paper, we introduce a novel method for the numerical calculation of hyperbolic Lagrangian Coherent Structures using Differential Algebra called DA-LCS. As a form of automatic forward differentiation, it allows direct computation of the Taylor expansion of the flow, its derivatives, and the eigenvectors of the associated strain tensor, with all derivatives obtained algebraically and to machine precision. It does so without a priori information about the system, such as variational equations or explicit derivatives. We demonstrate that this can provide significant improvements in the accuracy of the Lagrangian Coherent Structures identified compared to finite-differencing methods in a series of test cases drawn from the literature. We also show how DA-LCS uncovers additional dynamical behaviour in a real-world example drawn from astrodynamics.

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Accepted/In Press date: 10 October 2022
e-pub ahead of print date: 23 November 2022
Published date: 25 November 2022

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Local EPrints ID: 501119
URI: http://eprints.soton.ac.uk/id/eprint/501119
ISSN: 1877-7503
PURE UUID: 776ec70f-2ba4-4a24-a0f8-e81323f1e896
ORCID for Jack Tyler: ORCID iD orcid.org/0000-0002-0979-7533
ORCID for Alexander Wittig: ORCID iD orcid.org/0000-0002-4594-0368

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Date deposited: 23 May 2025 18:25
Last modified: 22 Aug 2025 02:19

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Author: Jack Tyler ORCID iD

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