Introduction to Non-Linear Algebra
V. Dolotin, A. Morozov

TL;DR
This paper introduces non-linear algebra, extending linear algebra concepts to non-linear equations using discriminants and resultants, and explores their applications in Mandelbrot-set theory and phase transition models.
Contribution
It provides an accessible introduction to non-linear algebra, emphasizing resultants of non-linear maps and their connection to Mandelbrot-set theory and phase transitions.
Findings
Effective study of resultants using analytical and computational methods
Extension of eigenvalue concepts to non-linear maps
Initial steps linking non-linear algebra to Mandelbrot-set theory
Abstract
Concise introduction to a relatively new subject of non-linear algebra: literal extension of text-book linear algebra to the case of non-linear equations and maps. This powerful science is based on the notions of discriminant (hyperdeterminant) and resultant, which today can be effectively studied both analytically and by modern computer facilities. The paper is mostly focused on resultants of non-linear maps. First steps are described in direction of Mandelbrot-set theory, which is direct extension of the eigenvalue problem from linear algebra, and is related by renormalization group ideas to the theory of phase transitions and dualities.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Applications
