| Issue |
ESAIM: COCV
Volume 32, 2026
|
|
|---|---|---|
| Article Number | 6 | |
| Number of page(s) | 24 | |
| DOI | https://doi.org/10.1051/cocv/2025095 | |
| Published online | 03 February 2026 | |
Curves of minimax spirality
1
Mathematics, UniSA STEM, University of South Australia,
Mawson Lakes,
S.A.
5095,
Australia
2
Department of Mathematics and Statistics, The University of Western Australia,
Nedlands
WA
6009,
Australia
3
School of Mathematics, Statistics, Chemistry and Physics, Murdoch University,
Murdoch
WA
6150,
Australia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
16
September
2024
Accepted:
2
December
2025
Abstract
We study the problem of finding curves of minimum pointwise-maximum arc-length derivative of curvature, here simply called curves of minimax spirality, among planar curves of fixed length with prescribed endpoints and tangents at the endpoints. We consider the case when simple bounds (constraints) are also imposed on the curvature along the curve. The curvature at the endpoints may or may not be specified. We prove via optimal control theory that the optimal curve is some concatenation of Euler spiral arcs, circular arcs, and straight line segments. When the curvature is not constrained (or when the curvature constraint does not become active), an optimal curve is only made up of a concatenation of Euler spiral arcs, unless the oriented endpoints lie in a line segment or a circular arc of the prescribed length, in which case the whole curve is either a straight line segment or a circular arc segment, respectively. We propose numerical methods and illustrate these methods and the results by means of three example problems of finding such curves.
Mathematics Subject Classification: 49J15 / 49K15 / 65K10 / 90C30
Key words: Minimax spirality / minimax curvature / optimal control / bang–bang control / singular control / Euler spirals
© The authors. Published by EDP Sciences, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
