Tropical Fr\'echet Means: a polyhedral approach to exact optimization
Abstract
The Fr\'{e}chet mean is a fundamental notion of central tendency defined as a minimizer of a sum of squared distances in a general metric space. In this paper, we study Fr\'{e}chet means in tropical geometry -- a piecewise linear, combinatorial, and polyhedral variant of algebraic geometry -- by formulating and solving the associated tropical quadratic optimization problem. We give a geometric characterization of the collection of all tropical Fr\'{e}chet means as a bounded set that is simultaneously tropically and classically convex, hence a polytrope. We establish the existence of positivity certificates for maxima of finitely many quadratic polynomials in whose homogeneous quadratic components are sums of squares, which provides a symbolic framework for exact optimization. Using this structure, we develop algorithms for computing tropical Fr\'{e}chet means and the associated Fr\'{e}chet mean polytrope. We further describe a combinatorial type decomposition of the objective function induced by braid arrangements, yielding a piecewise quadratic representation and a fully symbolic method for exact computation.
Keywords
Cite
@article{arxiv.2502.05322,
title = {Tropical Fr\'echet Means: a polyhedral approach to exact optimization},
author = {Kamillo Ferry and Bo Lin and Carlos Améndola and Anthea Monod and Ruriko Yoshida},
journal= {arXiv preprint arXiv:2502.05322},
year = {2026}
}
Comments
26 pages. 8 figures. v3: Added Section 5. Extended version as to appear in the special issue for the International Symposium on Symbolic and Algebraic Computation ISSAC 2025