Saved in:
Bibliographic Details
Main Authors: Hu, Hangkun, Wang, Jingyi, Wang, Minggang
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.17741
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908978463637504
author Hu, Hangkun
Wang, Jingyi
Wang, Minggang
author_facet Hu, Hangkun
Wang, Jingyi
Wang, Minggang
contents The algebraic degree of a network game measures the complexity of its totally mixed Nash equilibria. For sparse multilinear network games, Datta's formula expresses this degree combinatorially in terms of a permanent, but the geometric origin of this formula has remained unclear. In this paper, we provide a tropical-geometric derivation of Datta's formula by identifying totally mixed equilibria with stable intersection points of tropical hypersurfaces associated with the indifference equations. We show that the mixed cells arising from the multilinear Newton polytope structure induce the cycle-cover combinatorics of the polynomial graph, so that the permanent appears as a tropical intersection count. This interpretation yields several structural consequences. We prove that the algebraic degree is multiplicative over strongly connected components, and we establish a sharp contrast between two basic multilayer coupling mechanisms: Cartesian-type couplings remain bounded through a transfer-matrix trace formula, whereas tensor-type couplings exhibit exponential growth governed by the permanent of a local gadget. These results show that algebraic degree provides a structural complexity invariant for network architecture. We further illustrate the theory on coupled cyclic games and networked energy-market models, and we support the theoretical predictions with numerical experiments based on homotopy continuation.
format Preprint
id arxiv_https___arxiv_org_abs_2604_17741
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Algebraic Degree of Network Games via Tropical Geometry: A Geometric Perspective on Datta's Formula
Hu, Hangkun
Wang, Jingyi
Wang, Minggang
Algebraic Geometry
Combinatorics
91A43, 14T05, 05C20, 15A15, 52B20
The algebraic degree of a network game measures the complexity of its totally mixed Nash equilibria. For sparse multilinear network games, Datta's formula expresses this degree combinatorially in terms of a permanent, but the geometric origin of this formula has remained unclear. In this paper, we provide a tropical-geometric derivation of Datta's formula by identifying totally mixed equilibria with stable intersection points of tropical hypersurfaces associated with the indifference equations. We show that the mixed cells arising from the multilinear Newton polytope structure induce the cycle-cover combinatorics of the polynomial graph, so that the permanent appears as a tropical intersection count. This interpretation yields several structural consequences. We prove that the algebraic degree is multiplicative over strongly connected components, and we establish a sharp contrast between two basic multilayer coupling mechanisms: Cartesian-type couplings remain bounded through a transfer-matrix trace formula, whereas tensor-type couplings exhibit exponential growth governed by the permanent of a local gadget. These results show that algebraic degree provides a structural complexity invariant for network architecture. We further illustrate the theory on coupled cyclic games and networked energy-market models, and we support the theoretical predictions with numerical experiments based on homotopy continuation.
title The Algebraic Degree of Network Games via Tropical Geometry: A Geometric Perspective on Datta's Formula
topic Algebraic Geometry
Combinatorics
91A43, 14T05, 05C20, 15A15, 52B20
url https://arxiv.org/abs/2604.17741