Low-Dimensional Interaction Spaces Impose Geometric Constraints On Collective Organization
Arturo Tozzi

TL;DR
This paper introduces a geometric framework showing that low-dimensional interaction spaces impose fundamental constraints on the diversity and robustness of collective organizations across various physical and biological systems.
Contribution
It develops a general theoretical approach demonstrating how low-dimensional interaction spaces govern collective organization through geometric constraints, independent of specific mechanisms.
Findings
Low interaction dimensionality limits the number and separability of collective states.
Many potential macroscopic organizations are inherently impossible due to geometric constraints.
The framework applies broadly to equilibrium and nonequilibrium systems without specific symmetry assumptions.
Abstract
Collective organization in physical, biophysical, and biological systems often emerges from many weak, local interactions, yet the resulting global structures display striking regularities and apparent limits in diversity. Existing theoretical approaches typically emphasize specific mechanisms, detailed dynamics, or energetic optimization, making it difficult to identify constraints that are independent of microscopic realization. Here we develop a general theoretical framework showing that, when effective interactions among system components compress into a low-dimensional interaction space, global organization is governed by geometric constraints rather than detailed dynamics. We formalize interaction spaces as metric manifolds derived from coarse-grained effective couplings and show that low interaction dimensionality imposes upper bounds on the number, separability, and robustness…
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Taxonomy
TopicsModular Robots and Swarm Intelligence · Evolutionary Game Theory and Cooperation · Distributed Control Multi-Agent Systems
