In this paper, we develop two finite difference weighted essentially non-oscillatory (WENO) schemes with unequal-sized sub-stencils for solving the Degasperis-Procesi (DP) and $\mu$-Degasperis-Procesi ($\mu$DP) equations, which contain nonlinear high order derivatives, and possibly peakon solutions or shock waves. By introducing auxiliary variable(s), we rewrite the DP equation as a hyperbolic-elliptic system, and the $\mu$DP equation as a first order system. Then we choose a linear finite difference scheme with suitable order of accuracy for the auxiliary variable(s), and two WENO schemes with unequal-sized sub-stencils for the primal variable. One WENO scheme uses one large stencil and several smaller stencils, and the other WENO scheme is based on the multi-resolution idea which uses a series of unequal-sized hierarchical central stencils. Comparing with the classical WENO schemes which uses several small stencils of the same size to make up a big stencil, both WENO schemes with unequal-sized sub-stencils are simple in the the choice of the stencil and enjoy the freedom of arbitrary positive linear weights. Another advantage is that the final reconstructed polynomial on the target cell is a polynomial of the same degree as the polynomial over the big stencil, while the classical finite difference WENO reconstruction can only be obtained for specific points inside the target interval. Numerical tests are provided to demonstrate the high order accuracy and non-oscillatory properties of the proposed schemes.
翻译:在本文中, 我们开发了两个基点差异, 基本上为非螺旋性( WENO), 以不平等的子线性差方案解决 Degasperis- Procesi (DP) 和 $\mu$- Degasperis- Procesi ($mu$DP) 方程式, 其中含有非线性高顺序衍生物, 并可能包含峰顶溶液或冲击波。 通过引入辅助变量, 我们重写 DP 方程式, 并重写 $\mu$DP 方程式作为第一顺序系统。 然后我们选择一个线性差方案, 其辅助变量( DP) 和 $$\mu$( mouncial DP) 的子线性差, 用于辅助变量( DP) 的子线性差( DP) 。 一个WENO 的线性差方案使用几个小线性差, 用于辅助变量的精确性差( ) 和两个WENO 等值( ) 等值( ) 的直径( ) 目标( ) ) 的直径( 直径) 向) 直径),, 向( 直径) 直线性( 向) 向) 直) 向( 直线性( 向) 向) 向) 直线性( R) 向) 直线性( R) 向) 向( R) 向), 向) 向( 向) 向), 向( 向) 向) 向), 向( 向) 向( 向( 向) 向) 向( 向( ) 向) ( ) ( ) ( ) ( ) ) ) ( ) ( ) ( ) ) ( ) ( ) ( ) ( ) ( 向) ( R) ( 向) ( 向) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( R) ( ) ( ) ( ) ( ) ( ) ( ) (