In this paper, we explore some issues related to adopting the Adomian decomposition method （ADM） to solve partial differential equations （PDEs）, particularly linear diffusion equations. Through a proposition, we s...In this paper, we explore some issues related to adopting the Adomian decomposition method （ADM） to solve partial differential equations （PDEs）, particularly linear diffusion equations. Through a proposition, we show that extending the ADM from ODEs to PDEs poses some strong requirements on the initial and boundary conditions, which quite often are violated for problems encountered in engineering, physics and applied mathematics. We then propose a modified approach, based on combining the ADM with the Fourier series decomposition, to provide solutions for those problems when these conditions are not met. In passing, we shall also present an argument that would address a long-term standing ＂pitfall＂ of the original ADM and make this powerful approach much more rigorous in its setup. Numerical examples are provided to show that our modified approach can be used to solve any linear diffusion equation （homogeneous or non-homogeneous）, with reasonable smoothness of the initial and boundary data.展开更多
文摘In this paper, we explore some issues related to adopting the Adomian decomposition method （ADM） to solve partial differential equations （PDEs）, particularly linear diffusion equations. Through a proposition, we show that extending the ADM from ODEs to PDEs poses some strong requirements on the initial and boundary conditions, which quite often are violated for problems encountered in engineering, physics and applied mathematics. We then propose a modified approach, based on combining the ADM with the Fourier series decomposition, to provide solutions for those problems when these conditions are not met. In passing, we shall also present an argument that would address a long-term standing ＂pitfall＂ of the original ADM and make this powerful approach much more rigorous in its setup. Numerical examples are provided to show that our modified approach can be used to solve any linear diffusion equation （homogeneous or non-homogeneous）, with reasonable smoothness of the initial and boundary data.
