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Numerical Analysis and Applications

2022 year, number 4

Solving the pure Neumann problem by a mixed finite element method

M.I. Ivanov, I.A. Kremer, Yu.M. Laevsky
Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk, Russia
Keywords: Neumann problem, generalized formulation, Lagrange multipliers, mixed finite element method, saddle point algebraic linear system, matrix kernel

Abstract

This paper proposes a new method for the numerical solution of a pure Neumann problem for the diffusion equation in a mixed formulation. The method is based on the inclusion of a condition of unique solvability of the problem in one of the equations of the system with a subsequent decrease in its order by using a Lagrange multiplier. The unique solvability of the problem obtained and its equivalence to the original mixed formulation in a subspace are proved. The problem is approximated on the basis of a mixed finite element method. The unique solvability of the resulting saddle system of linear algebraic equations is investigated. Theoretical results are illustrated by computational experiments.