Exact linearization and stability of fixed points in synchronization models

Abstract A significant number of synchronization models can be formulated as a system of matrix equations <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mover> <mml:mi>g</mml:mi> <mml:mo>˙</mml:mo> </mml:mover> </mml:mrow> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>=</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:msub> <mml:mi>g</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> </mml:math> for square matrices <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mi>g</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> </mml:math> , where g i are the variables and M i denotes the the mean-fields to which all variables couple. Examples include the Kuramoto model with the possible inclusion of phase lag angles, higher-order systems with three- or four-body interactions, and higher-dimensional generalizations to the unit sphere. The transformation to the matrix form is accomplished for Riccati systems by means of linear fractional transformations, and for models on the sphere with cubic nonlinearities via the unit vector map. Since M i is constant at fixed points, the matrix equations <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mover> <mml:mi>g</mml:mi> <mml:mo>˙</mml:mo> </mml:mover> </mml:mrow> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>=</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:msub> <mml:mi>g</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> </mml:math> reduce to a linear system which is solved exactly in terms of the matrix exponential. Stability of the asymptotic trajectories is determined by the eigenvalues of M i , and the fixed point is related to the eigenvector corresponding to the largest real eigenvalue. This leads to relatively simple conditions which are satisfied by asymptotically stable fixed points. These properties are demonstrated by example for models on the unit circle such as periodic ring oscillators, and for models on the two-sphere with pairwise or three-body interactions.

Authors

Institutions

Publication Details

Journal
Journal of Physics Complexity
Published
2025-12-01
DOI
https://doi.org/10.1088/2632-072x/ae29d4
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exact linearization and stability of fixed points in synchronization models

M. A. Lohe
Journal of Physics Complexity
Matrix Theory and Algorithms
article

Exact linearization and stability of fixed points in synchronization models

M. A. Lohe
article en

Abstract

Abstract A significant number of synchronization models can be formulated as a system of matrix equations <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mover> <mml:mi>g</mml:mi> <mml:mo>˙</mml:mo> </mml:mover> </mml:mrow> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>=</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:msub> <mml:mi>g</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> </mml:math> for square matrices <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mi>g</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> </mml:math> , where g i are the variables and M i denotes the the mean-fields to which all variables couple. Examples include the Kuramoto model with the possible inclusion of phase lag angles, higher-order systems with three- or four-body interactions, and higher-dimensional generalizations to the unit sphere. The transformation to the matrix form is accomplished for Riccati systems by means of linear fractional transformations, and for models on the sphere with cubic nonlinearities via the unit vector map. Since M i is constant at fixed points, the matrix equations <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mover> <mml:mi>g</mml:mi> <mml:mo>˙</mml:mo> </mml:mover> </mml:mrow> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>=</mml:mo> <mml:msub> <mml:mi>M</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:msub> <mml:mi>g</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:mrow> </mml:math> reduce to a linear system which is solved exactly in terms of the matrix exponential. Stability of the asymptotic trajectories is determined by the eigenvalues of M i , and the fixed point is related to the eigenvector corresponding to the largest real eigenvalue. This leads to relatively simple conditions which are satisfied by asymptotically stable fixed points. These properties are demonstrated by example for models on the unit circle such as periodic ring oscillators, and for models on the two-sphere with pairwise or three-body interactions.

Journal of Physics ComplexityVol. 6(4)
The University of Adelaide (AU)
Openalex Percentile: Top 61%
Matrix Theory and Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.