A Multiscale Hilbert-Fourier Variety Approach to Hilbert's 16th Problem: Establishing the Upper Bound H(2)=7 for Quadratic Systems

This article proves a global upper bound for the maximum number of limit cycles in planar quadratic vector fields (n=2): it is exactly H(2)=7. Unlike traditional perturbative methods, such as Melnikov analysis or local Hopf bifurcation theory—which are inherently restricted to the vicinity of a singular point or a period annulus—this work maps the system's complete dynamics onto an infinite-dimensional algebraic variety in a Hilbert space. By treating the existence of periodic orbits as a global structural identity of the Fourier-coefficient equations, we identify a multiscale hierarchy of isolated solutions organized by the scaling parameter \mu. Our analysis reveals that the quadratic variety is composed of three structurally independent scales: a primary scale (X_{1,0}\neq0) that hosts 4 cycles by integrating local bifurcations with global energy balance; an emergent scale (X_{1,1}\neq0) providing 2 additional solutions; and a third-order scale (X_{1,2}\neq0) that contributes a final isolated cycle before algebraic saturation occurs. The total capacity H(2)=4+2+1=7 represents a definitive algebraic ceiling that transcends the classical Bautin limit of 3 cycles for a single focus. The theory is validated through the construction of a specific quadratic field that explicitly distributes these 7 cycles across local and global topological configurations. This result provides a rigorous resolution to the second part of Hilbert's 16th problem for the quadratic case, closing the gap between known lower bounds and the system's total algebraic capacity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-21
DOI
https://doi.org/10.5281/zenodo.22049680
Primary Topic
Advanced Differential Equations and Dynamical Systems
Type
preprint
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preprint

A Multiscale Hilbert-Fourier Variety Approach to Hilbert's 16th Problem: Establishing the Upper Bound H(2)=7 for Quadratic Systems

Manuel Hernández Rosales
Zenodo (CERN European Organization for Nuclear Research)
Advanced Differential Equations and Dynamical Systems
preprint

A Multiscale Hilbert-Fourier Variety Approach to Hilbert's 16th Problem: Establishing the Upper Bound H(2)=7 for Quadratic Systems

Manuel Hernández Rosales
preprint en

Abstract

This article proves a global upper bound for the maximum number of limit cycles in planar quadratic vector fields (n=2): it is exactly H(2)=7. Unlike traditional perturbative methods, such as Melnikov analysis or local Hopf bifurcation theory—which are inherently restricted to the vicinity of a singular point or a period annulus—this work maps the system's complete dynamics onto an infinite-dimensional algebraic variety in a Hilbert space. By treating the existence of periodic orbits as a global structural identity of the Fourier-coefficient equations, we identify a multiscale hierarchy of isolated solutions organized by the scaling parameter \mu. Our analysis reveals that the quadratic variety is composed of three structurally independent scales: a primary scale (X_{1,0}\neq0) that hosts 4 cycles by integrating local bifurcations with global energy balance; an emergent scale (X_{1,1}\neq0) providing 2 additional solutions; and a third-order scale (X_{1,2}\neq0) that contributes a final isolated cycle before algebraic saturation occurs. The total capacity H(2)=4+2+1=7 represents a definitive algebraic ceiling that transcends the classical Bautin limit of 3 cycles for a single focus. The theory is validated through the construction of a specific quadratic field that explicitly distributes these 7 cycles across local and global topological configurations. This result provides a rigorous resolution to the second part of Hilbert's 16th problem for the quadratic case, closing the gap between known lower bounds and the system's total algebraic capacity.

Zenodo (CERN European Organization for Nuclear Research)
Universidad Nacional Autónoma de México (MX)
Affordable and clean energy
Advanced Differential Equations and Dynamical Systems
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