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Penalty approximation method for a double obstacle quasilinear parabolic variational inequality problem
Author(s) -
Yarui Duan,
Pengcheng Wu,
Yuying Zhou
Publication year - 2022
Publication title -
journal of industrial and management optimization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.325
H-Index - 32
eISSN - 1553-166X
pISSN - 1547-5816
DOI - 10.3934/jimo.2022017
Subject(s) - obstacle problem , variational inequality , mathematics , penalty method , obstacle , parabolic partial differential equation , monotone polygon , bounded function , mathematical analysis , partial differential equation , weak solution , mathematical optimization , geometry , political science , law
In this paper, we first establish a surjectivity result for the sum of a maximal monotone mapping and a generalized pseudomontone mapping by using the generalized Yosida approximation technique. Then, we study a double obstacle quasilinear parabolic variational inequality problem \begin{document}$ {{\rm{(VIP)}}} $\end{document} by using the surjectivity result and penalty approximation method. In order to deal with the double obstacle constraints, we construct a quasilinear parabolic partial differential penalty equation, then we obtain the solvability of the quasilinear parabolic partial differential penalty equation. Moreover, we show that the set of the solutions to the penalty equation is bounded and every weak cluster point of this set is a solution of the problem \begin{document}$ {{\rm{(VIP)}}} $\end{document} . At last, as an application, we obtain numerical solutions of two double obstacle parabolic variational inequality problems by using the power penalty approximation method. Through the figures in the examples, we can intuitively see the different numerical solutions of the problems at different times.

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