Work

Lie Group Classification for a Reduced Burgers System

Year: 2025
Type: article
Abstract: We consider a variable coefficient Burgers system in two spatial variables. A similarity mapping is used to reduce the number of independent variables. Lie symmetry analysis is applied to the reduced system. We present the equivalence groups for this system and the complete Lie group classification. Lie symmetries are employed to reduce the system into ordinary differential equations. In certain cases, we derive exact solutions. A special case of the system admits a hidden symmetry. Furthermore, a differential substitution is applied to this special system that enables us to construct additional exact solutions.
Source: Symmetry
Language: English
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4410360446
FWCI: 0.857
Cites: 17
Cited by: 2
Related to: 10