In this paper, we introduce and consider a new class of mixed variational inequalities, which is called the general mixed variational inequality. Using the resolvent operator technique, we establish the equivalence between the general mixed variational inequalities and the fixed-point problems as well as resolvent equations. We use this alternative equivalent formulation to suggest and analyze some iterative methods for solving the general mixed variational inequalities. We study the convergence criteria of the suggested iterative methods under suitable conditions. Using the resolvent operator technique, we also consider the resolvent dynamical systems associated with the general mixed variational inequalities. We show that the trajectory of the dynamical system converges globally exponentially to the unique solution of the general mixed variational inequalities. Our methods of proofs are very simple as compared with others’ techniques. Results proved in this paper may be viewed as a refinement and important generalizations of the previous known results.
机构:
Guizhou Univ, Sch Math & Stat, Guiyang 550025, Peoples R China
Guangxi Minzu Univ, Sch Math & Phys, Nanning 530006, Guangxi, Peoples R ChinaGuizhou Univ, Sch Math & Stat, Guiyang 550025, Peoples R China
Shang, Tong-tong
Tang, Guo-ji
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Guangxi Minzu Univ, Ctr Appl Math Guangxi, Sch Math & Phys, Guangxi Key Lab Hybrid Computat & IC Design Anal, Nanning 530006, Guangxi, Peoples R ChinaGuizhou Univ, Sch Math & Stat, Guiyang 550025, Peoples R China
机构:
Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Sci Comp Key Lab Shanghai Univ, Shanghai 200234, Peoples R ChinaShanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Ceng, Lu-Chuan
Kong, Zhao-Rong
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Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Sci Comp Key Lab Shanghai Univ, Shanghai 200234, Peoples R ChinaShanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
Kong, Zhao-Rong
Wen, Ching-Feng
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Kaohsiung Med Univ, Ctr Fundamental Sci, Kaohsiung 807, TaiwanShanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China