Freezing similarity solutions in multi-dimensional Burgers' Equation
Provides a method for simulating similarity solutions in multi-dimensional Burgers' equation, which is incremental for researchers studying nonlinear PDEs.
The paper derives symmetries in multi-dimensional Burgers' equation to create a freezing system for long-time simulations, enabling good approximations of similarity solutions and observation of meta-stable N-wave patterns.
The topic of this paper are similarity solutions occurring in multi-dimensional Burgers' equation. We present a simple derivation of the symmetries appearing in a family of generalizations of Burgers' equation in $d$-space dimensions. These symmetries we use to derive an equivalent partial differential algebraic equation (freezing system) that allows us to do long time simulations and obtain good approximations of similarity solutions by direct forward simulation. The method also allows us without further effort to observe meta-stable behavior near N-wave-like patterns.