arXiv · 2509.05793
Spectral Methods in Complex Systems
Abstract
These notes offer a unified introduction to spectral methods for the study of complex systems. They are intended as an operative manual rather than a theorem-proof textbook: the emphasis is on tools, identities, and perspectives that can be readily applied across disciplines. Beginning with a compendium of matrix identities and inversion techniques, the text develops the connections between spectra, dynamics, and structure in finite-dimensional systems. Applications range from dynamical stability and random walks on networks to input-output economics, PageRank, epidemic spreading, memristive circuits, synchronization phenomena, and financial stability. Throughout, the guiding principle is that eigenvalues, eigenvectors, and resolvent operators provide a common language linking problems in physics, mathematics, computer science, and beyond. The presentation is informal, accessible to advanced undergraduates, yet broad enough to serve as a reference for researchers interested in spectral approaches to complex systems.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Francesco Caravelli. 2025-09-06. Spectral Methods in Complex Systems. https://arxiv.org/abs/2509.05793
Cite the original work for its findings. Save a collection to share your selection of sources.