Nonlinear Analysis: Hybrid Systems 1 (2007) 398–413 www.elsevier.com/locate/nahs A hybrid of the extragradient method and proximal point algorithm for inverse strongly monotone operators and maximal monotone operators in Banach spaces Liwei Li a,b , W. Song b, a Department of Mathematics, Northeast Normal University, Changchun 130024, China b Department of Mathematics, Harbin Normal University, Harbin 150080, China Received 14 July 2006; accepted 31 August 2006 Abstract In the paper, we introduce two iterative sequences for finding a point in the intersection of the zero set of a inverse strongly monotone or inverse-monotone operator and the zero set of a maximal monotone operator in a uniformly smooth and uniformly convex Banach space. We prove weak convergence theorems under appropriate conditions, respectively. c 2006 Elsevier Ltd. All rights reserved. Keywords: Extragradient method; Proximal point algorithm; Uniformly convex and uniformly smooth Banach space; Weakly sequentially continuous; Nonexpansive operators; Inverse-monotone operator; Maximal monotone operators; Weak convergence 1. Introduction Let X be a Banach space with the dual space X and let T : X X be an operator. The problem of finding v X satisfying 0 T v is connected with the convex minimization problems and variational inequalities. A set-valued mapping T : X X with domain D(T ) ={x X | Tx =∅} and range R(T ) ={x X | x Tx , x D(T )} is said to be monotone if x y , x y 〉≥ 0 for all x Tx , y Ty . T is said to be maximal monotone if the graph G(T ) of T is not properly contained in the graph of any other monotone operator. When T is maximal monotone, a well-known method for solving the equation 0 T v in a Hilbert space H is the proximal point algorithm (see [13]): x 1 = x H and x n+1 = J r n x n , n = 1, 2,..., (1.1) where {r n }⊂ (0, ) and J r = ( I + rT ) 1 for all r > 0 is the resolvent operator for T . Rockafellar (see [13]) proved the weak convergence of the algorithm (1.1). Corresponding author. E-mail address: wsong218@yahoo.com.cn (W. Song). 1751-570X/$ - see front matter c 2006 Elsevier Ltd. All rights reserved. doi:10.1016/j.nahs.2006.08.003