Lie symmetry classification of a coupled nonlinear cross-diffusion system in radial geometry
Manjit Singh, Radhika

TL;DR
This paper performs Lie symmetry analysis on a coupled nonlinear cross-diffusion system with radial geometry, classifying its symmetries and revealing conditions for additional invariances.
Contribution
It provides a comprehensive classification of symmetries for the system, highlighting the impact of nonlinear coupling and geometry on invariance properties.
Findings
System admits time translation and parabolic scaling symmetries.
Additional symmetries depend on structural assumptions of constitutive functions.
Larger symmetry algebras occur only in degenerate or linearizable cases.
Abstract
In this work, Lie symmetry analysis is performed on a coupled nonlinear cross-diffusion system with varying cross-section geometry. The system describes two interacting quantities whose material properties, namely the capacity functions and the diffusion coefficients, depend nonlinearly on the dependent variables. The classical Lie invariance criterion produces a set of sixteen determining equations for infinitesimal symmetry generators. The determining equations are solved by first establishing the universal geometric structure of the admitted generators and then classifying the constitutive functions according to their invariance properties in the state space. It is shown that the system always admits time translation and parabolic scaling as kernel symmetries, with an additional spatial translation admitted only in the Cartesian case. Further symmetries, such as translations,…
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.
