English

Analytic solutions for the approximation of $p$-Laplacian problem

Optimization and Control 2016-08-11 v1

Abstract

This paper mainly investigates the analytic solutions for the approximation of pp-Laplacian problem. Through an approximation mechanism, we convert the nonlinear partial differential equation with Dirichlet boundary into a sequence of minimization problems. And a sequence of analytic minimizers can be obtained by applying the canonical duality theory. Moreover, the nonlinear canonical transformation gives a sequence of perfect dual maximization(minimization) problems, and further discussion shows the global extrema for both primal and dual problems.

Keywords

Cite

@article{arxiv.1608.03052,
  title  = {Analytic solutions for the approximation of $p$-Laplacian problem},
  author = {Xiaojun Lu and Xiaofen Lv},
  journal= {arXiv preprint arXiv:1608.03052},
  year   = {2016}
}

Comments

10 pages, 0 figure

R2 v1 2026-06-22T15:16:34.321Z