PreprintarXiv licencearXiv
Higher-Order Competition as a Minimal Mechanism for Spatial Pattern Diversity in Population Dynamics
Abstract
We show that negative feedback alone generates the diversity of self-organized shapes usually attributed to scale-dependent activation-inhibition. For a broad class of kernels, pairwise competition models only generate hexagonal spot arrays. Higher-order terms eliminate this restriction and promote stripes and gaps. Combining individual-based simulations and nonlinear analysis, we derive the pattern-selection thresholds and construct the full state diagram, including an unusual spots-stripes-spots sequence. Spot patterns are thus not a reliable indicator of proximity to a tipping point.
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BibTeX
@misc{pintoramos2026higherorder,
title = {{Higher-Order Competition as a Minimal Mechanism for Spatial Pattern Diversity in Population Dynamics}},
author = {David Pinto-Ramos and Anudeep Surendran and Ricardo Martinez-Garcia},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.29725},
eprint = {2609.29725},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.29725},
}
RIS
TY - UNPB
TI - Higher-Order Competition as a Minimal Mechanism for Spatial Pattern Diversity in Population Dynamics
AU - David Pinto-Ramos
AU - Anudeep Surendran
AU - Ricardo Martinez-Garcia
PY - 2026
DA - 2026/09/24
PB - arXiv
DO - 10.48550/arxiv.2609.29725
UR - https://arxiv.org/abs/2609.29725
AB - We show that negative feedback alone generates the diversity of self-organized shapes usually attributed to scale-dependent activation-inhibition. For a broad class of kernels, pairwise competition models only generate hexagonal spot arrays. Higher-order terms eliminate this restriction and promote stripes and gaps. Combining individual-based simulations and nonlinear analysis, we derive the pattern-selection thresholds and construct the full state diagram, including an unusual spots-stripes-spots sequence. Spot patterns are thus not a reliable indicator of proximity to a tipping point.
ER -