1. An energetic boundary functional method for solving the inverse source problems of 2D nonlinear elliptic equations
- Author
-
Chein-Shan Liu
- Subjects
Cauchy problem ,Source function ,Applied Mathematics ,Linear system ,General Engineering ,Cauchy distribution ,02 engineering and technology ,Inverse problem ,01 natural sciences ,010101 applied mathematics ,Computational Mathematics ,Nonlinear system ,symbols.namesake ,020303 mechanical engineering & transports ,0203 mechanical engineering ,Elliptic partial differential equation ,symbols ,Applied mathematics ,0101 mathematics ,Newton's method ,Analysis ,Mathematics - Abstract
In the paper, an inverse source problem for a 2D nonlinear elliptic partial differential equation is considered. With the over-specified boundary data given on two sides of a rectangle, we do not need the data on bottom and top sides to estimate an unknown 2D source function. As a consequence, we encounter a quite difficult inverse problem for solving the inverse source problem in an environment of the inverse Cauchy problem. Generating from the given Cauchy data, we introduce a homogenization function and then a sequence of boundary functions are derived, which combined with the zero element constitute a linear space. An energetic functional in terms of boundary functions is derived and each energetic boundary function preserves the energy identity. The novel algorithm with energetic boundary functions as the bases and the linear system to decide the expansion coefficients are developed from the energetic boundary functional method (EBFM). At each spatial step we solve a nonlinear scalar equation by the Newton method to determine the multiplier in the energetic boundary function. The accuracy and robustness of the EBFM are confirmed, when we compare the estimated results to the exact solutions. Being an extension of the nonlinear inverse source problem to an arbitrary domain, we propose an inner homogenization functions method to solve the problem, with two examples demonstrating the accuracy and efficiency.
- Published
- 2020
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