On an inverse tridiagonal eigenvalue problem and its application to synchronization of network motion
In this work, motivated by the study of stability of the synchronous orbit of a network with tridiagonal Laplacian matrix, we first solve an inverse eigenvalue problem which builds a tridiagonal Laplacian matrix with eigenvalues λ 1 = 0 < λ 2 < ⋯ < λ N and null-vector . Then, we show how this result can be used to guarantee –if possible– that a synchronous orbit of a connected tridiagonal network associated to the matrix L above is asymptotically stable, in the sense of having an associated negative Master Stability Function (MSF). We further show that there are limitations when we also impose symmetry for L .
Authors
- Alessandro Pugliese (ORCID: https://orcid.org/0000-0003-3324-0169)
- Cinzia Elia (ORCID: https://orcid.org/0000-0002-6783-630X)
- Luca Dieci (ORCID: https://orcid.org/0000-0002-3618-9293)
Institutions
- Georgia Institute of Technology (US)
- University of Bari Aldo Moro (IT)
Publication Details
- Journal
- Linear Algebra and its Applications
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1016/j.laa.2025.08.015
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.00