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Abstract and Applied Analysis

Volume 2012 (2012), Article ID 962978, 9 pages

http://dx.doi.org/10.1155/2012/962978

## Some New Classes of Extended General Mixed Quasi-Variational Inequalities

Department of Mathematics, COMSATS Institute of Information Technology, Park Road, Islamabad, Pakistan

Received 30 May 2012; Accepted 10 June 2012

Academic Editor: Yonghong Yao

Copyright © 2012 Muhammad Aslam Noor and Khalida Inayat Noor. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

We consider and study a new class of variational inequality, which is called the extended general mixed quas-variational inequality. We use the auxiliary principle technique to study the existence of a solution of the extended general mixed quasi-variational inequality. Several special cases are also discussed. Results proved in this paper may stimulate further research in this area.

#### 1. Introduction

Mixed quasi-variational inequalities are very important and significant generalization of variational inequalities involving the nonlinear bifunction. It is well known that a large class of problems arising in various branches of pure and applied sciences can be studied in the general framework of mixed quasi-variational inequalities. In recent years, Noor [1–4] has shown that the optimality conditions of the differentiable nonconvex functions involving two arbitrary functions can be characterized by a class of variational inequalities, which is called the extended general variational inequalities. For the numerical results, existence theory, and other aspects of the extended general variational inequalities, see [1–13] and the references therein. We would like to mention that one can show that the minimum of a sum of differentiable nonconvex (-convex) function and a nondifferentiable nonconvex (-convex) bifunction can be characterized by a class of variational inequality. Motivated by this result, we introduce a new class of mixed variational inequalities, which is called * extended general mixed quasi-variational inequality * involving four different operators. Due to the nature of the problem, one cannot use the projection and resolvent operator techniques to study the existence of such type of the variational inequalities. To overcome this drawback, one uses the auxiliary principle technique. This technique is mainly due to Glowinski et al. [14]. This technique is more flexible and has been used to develop several numerical methods for solving the variational inequalities and the equilibrium problems. Noor [1, 9] has used this technique to study the existence of the extended general mixed variational inequality and its variant forms. We again use the auxiliary principle technique to study the existence of a solution of the extended general mixed quasi-variational inequalities. Since the extended general variational inequalities include various classes of variational inequalities and complementarity problems as special cases, results proved in this paper continue to hold for these problems. Results proved in this paper may be viewed as important and significant improvement of the previously known results. It is interesting to explore the applications of these extended general variational inequalities in mathematical and engineering sciences with new and novel aspects. This may lead to new research in this field.

#### 2. Preliminaries

Let be a real Hilbert space whose inner product and norm are denoted by and , respectively. Let be a nonempty closed and convex set in . Let be a continuous bifunction.

For given nonlinear operators , consider the problem of finding such that Inequality of type (2.1) is called the extended general mixed quasi-variational inequality.

One can show that the minimum of a sum of differentiable nonconvex (-convex) function and a nondifferentiable nonconvex (-convex) function on the -convex set in can be characterized by the extended general mixed quasi-variational inequality (2.1). For this purpose, we recall the following well known concepts, see [1, 5, 15–18].

*Definition 2.1. *Let be any set in . The set is said to be -convex, if there exist functions such that

Note that every convex set is -convex, but the converse is not true, see [15]. If , then the -convex set is called the -convex set, which was introduced by Youness [19]. See also Cristescu and Lupşa [15] for its various extensions and generalization.

*Definition 2.2. *The function is said to be -convex on the -convex set , if there exist two functions such that

Clearly every convex function is -convex, but the converse is not true. For , Definition 2.2 is due to Youness [19].

We now consider the function , defined by

Using the technique of Noor [2, 4, 5], one can easily show that the minimum of a differentiable -convex function and a nondifferentiable -convex bifunction on a -convex set in can be characterized by the extended general mixed quasi-variational inequality (2.1).

Lemma 2.3. *Let be a differentiable -convex function, and let be a nondifferentiable bifunction on the -convex set . Then is the minimum of the functional , defind by (2.4) on the -convex set , if and only if, satisfies the inequality
**
where is the differential of at .*

Lemma 2.3 implies that -convex programming problem can be studied via the extended general mixed variational inequality (2.1) with .

We now list some special cases of the extended general variational inequalities.(i)If , then Problem(2.1) is equivalent to finding such that which is known as general mixed quasi-variational inequality, introduced and studied by Noor [20, 21]. It turned out that odd order and nonsymmetric obstacle, free, moving, unilateral, and equilibrium problems arising in various branches of pure and applied sciences can be studied via general variational inequalities.

We would like to emphasize the fact that general variational inequalities (2.6), (2.5), and (2.6) are quite different from each other and have different applications. For , the identity operator, the extended general variational inequality (2.1) is equivalent to finding such that which is known as the classical mixed quasi-variational inequality. For the applications, formulation and numerical methods for solving the mixed quasi-variational inequalities (2.7), see [1–14, 16–18, 20–34]. If the bifunction is the indicator function of a closed convex-valued set in , that is, then problem (2.1) is equivalent to finding such that Problems of type (2.9) are called extended general quasi-variational inequalities, studied by Noor [10]. If , the convex set in , Then, problem (2.9) is equivalent to finding such that which is called the extended general variational inequality, introduced and studied by Noor [1–4]. For the formulation, applications, numerical method and other aspects of the extended general variational inequality (2.10), see [1–4, 6–12, 35, 36].

We would like to mention that one can obtain several known and new classes of variational inequalities as special cases of the problem (2.1). From the above discussion, it is clear that the extended general mixed quasi-variational inequalities (2.1) is most general and includes several previously known classes of variational inequalities and related optimization problems as special cases. These variational inequalities have important applications in mathematical programming and engineering sciences, see [1–40].

We also need the following concepts and results.

*Definition 2.4. *For all , an operator is said to be:(i)*strongly monotone*, if there exists a constant such that
(ii)*Lipschitz continuous*, if there exists a constant such that

From (i) and (ii), it follows that .

*Remark 2.5. *It follows from the strong monotonicity of the operator , that
which implies that

This observation enables us to define the following concept.

*Definition 2.6. *The operator is said to firmly expanding if

*Definition 2.7. *The bifunction is said to be skew-symmetric, if,

Clearly, if the bifunction is linear in both arguments, then,
which shows that the bifunction is nonnegative.

*Remark 2.8. *It is worth mentioning that the points , and make up a set of the four vertices of the square. In fact, the skew-symmetric bifunction can be written in the form
This shows that the arithmetic average value of the skew-symmetric bifunction calculated at the north-east and south-west vertices of the square is greater than or equal to the arithmetic average value of the skew-symmetric bifunction computed at the north-west and south-west vertices of the same square. The skew-symmetric bifunction have the properties which can be considered an analogs of monotonicity of gradient and nonnegativity of a second derivative for the convex functions.

#### 3. Main Results

In this section, we use the auxiliary principle technique of Glowinski et al. [14] as developed by Noor [1, 8, 20, 21] and M. A. Noor and K. I. Noor [13] to study the existence of a solution of the extended general mixed quasi-variational inequality (2.1).

Theorem 3.1. *Let be a strongly monotone with constant and Lipschitz continuous with constant . Let be a strongly monotone and Lipschitz continuous operator with constants and , respectively. Let the bifunction be skew-symmetric. If the operator is firmly expanding and there exists a constant such that
**
where
**
then the extended general mixed quasi-variational inequality (2.1) has a unique solution.*

*Proof. *We use the auxiliary principle technique to prove the existence of a solution of (2.1). For a given satisfying the extended general mixed quasi-variational inequality (2.1), we consider the problem of finding a solution such that
where is a constant.

The inequality of type (3.4) is called the auxiliary extended general mixed variational inequality associated with the problem (2.1). It is clear that the relation (3.4) defines a mapping . It is enough to show that the mapping defined by the relation (3.4) has a unique fixed point belonging to satisfying the general variational inequality (2.1). Let be two solutions of (3.4) related to , respectively. It is sufficient to show that for a well chosen ,
with , where is independent of and . Taking (resp., ) in (3.4) related to (resp., ), adding the resultant, and using the skew-symmetry of the bifunction , we have
from which we have
Since is both strongly monotone and Lipschitz continuous operator with constants and , respectively, it follows that
In a similar way, using the strong monotonicity with constant and Lipschitz continuity with constant , we have
From (3.2), (3.3), (3.7), (3.8), and (3.9), and using the fact that the operator is firmly expanding, we have
From (3.1), it follows that showing that the mapping defined by (3.4) has a fixed point belonging to , which is solution of (2.1), the required result.

We note that if , then is a solution of the extended general mixed quasi variational inequality (2.1). This observation enables us to suggest the following iterative method for solving the extended general mixed quasi-variational inequality (2.1).

*Algorithm 3.2. *For a given , find the approximate solution by the iterative scheme:
where is a constant. Algorithm 3.2 is called the explicit iterative method. For different and suitable choice of the operators and spaces, one can obtain various iterative methods for solving the quasi-variational inequalities and its variant forms. We leave this to the interested readers.

#### 4. Conclusion

In this paper, we have introduced and studied a new class of variational inequalities, which is called the extended general mixed variational inequality. We have shown that this class is related to the optimality conditions of the nonconvex differentiable functions. One can easily obtain various classes of variational inequalities as special cases of this new class. We have used the auxiliary principle technique to study the existence of a solution of the extended general mixed quasi-variational inequalities under some suitable conditions. Our technique does not involve the projection or resolvent operator. We expect that the results proved in this paper may stimulate further research in this field. The interested readers are encouraged to find the novel and new applications of the extended general mixed quasi-variational inequalities in various branches of pure and applied sciences.

#### Acknowledgments

The authors would like to thank Dr. S. M. Junaid Zaidi, Rector, and COMSATS Institute of Information Technology, Pakistan, for providing excellent research facilities.

#### References

- M. A. Noor, “Auxiliary principle technique for extended general variational inequalities,”
*Banach Journal of Mathematical Analysis*, vol. 2, no. 1, pp. 33–39, 2008. View at Zentralblatt MATH - M. A. Noor, “Extended general variational inequalities,”
*Applied Mathematics Letters*, vol. 22, no. 2, pp. 182–185, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “On a class of general variational inequalities,”
*Journal of Advanced Mathematical Studies*, vol. 1, no. 1-2, pp. 75–86, 2008. View at Zentralblatt MATH - M. A. Noor, “Projection iterative methods for extended general variational inequalities,”
*Journal of Applied Mathematics and Computing*, vol. 32, no. 1, pp. 83–95, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “Some iterative algorithms for extended general variational inequalities,”
*Albanian Journal of Mathematics*, vol. 2, no. 4, pp. 265–275, 2008. View at Zentralblatt MATH - M. A. Noor, “Differentiable non-convex functions and general variational inequalities,”
*Applied Mathematics and Computation*, vol. 199, no. 2, pp. 623–630, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “Sensitivity analysis of extended general variational inequalities,”
*Applied Mathematics E-Notes*, vol. 9, pp. 17–26, 2009. View at Zentralblatt MATH - M. A. Noor, “Auxiliary principle technique for solving general mixed variational inequalities,”
*Journal of Advanced Mathematical Studies*, vol. 3, no. 2, pp. 89–96, 2010. View at Zentralblatt MATH - M. A. Noor, “Solvability of extended general mixed variational inequalities,”
*Albanian Journal of Mathematics*, vol. 4, no. 1, pp. 13–17, 2010. - M. A. Noor, “Extended general quasi-variational inequalities,”
*Nonlinear Analysis Forum*, vol. 15, pp. 33–51, 2010. - M. A. Noor, “Strongly nonlinear nonconvex variational inequalities,”
*Journal of Advanced Mathematical Studies*, vol. 4, no. 1, pp. 77–84, 2011. - M. A. Noor, “Some aspects of extended general variational inequalities,”
*Abstract and Applied Analysis*, vol. 2012, Article ID 303569, 16 pages, 2012. View at Publisher · View at Google Scholar - M. A. Noor and K. I. Noor, “Existence results for general mixed quasi variational iequalities,”
*Journal on Applied Mathematics*, vol. 2012, Article ID 701858, 8 pages, 2012. View at Publisher · View at Google Scholar - R. Glowinski, J.-L. Lions, and R. Trémolières,
*Numerical Analysis of Variational Inequalities*, vol. 8 of*Studies in Mathematics and Its Applications*, North-Holland, Amsterdam, The Netherlands, 1981. - G. Cristescu and L. Lupşa,
*Non-Connected Convexities and Applications*, vol. 68 of*Applied Optimization*, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002. View at Zentralblatt MATH - M. A. Noor, “Some developments in general variational inequalities,”
*Applied Mathematics and Computation*, vol. 152, no. 1, pp. 199–277, 2004. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “Projection-proximal methods for general variational inequalities,”
*Journal of Mathematical Analysis and Applications*, vol. 318, no. 1, pp. 53–62, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “General variational inequalities and nonexpansive mappings,”
*Journal of Mathematical Analysis and Applications*, vol. 331, no. 2, pp. 810–822, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - E. A. Youness, “
*E*-convex sets,*E*-convex functions, and*E*-convex programming,”*Journal of Optimization Theory and Applications*, vol. 102, no. 2, pp. 439–450, 1999. View at Publisher · View at Google Scholar - M. A. Noor, “Fundamentals of mixed quasi variational inequalities,”
*International Journal of Pure and Applied Mathematics*, vol. 15, no. 2, pp. 137–259, 2004. View at Zentralblatt MATH - M. A. Noor, “Mixed quasi variational inequalities,”
*Applied Mathematics and Computation*, vol. 146, no. 2-3, pp. 553–578, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - C. Baiocchi and A. Capelo,
*Variational and Quasivariational Inequalities*, A Wiley-Interscience Publication, John Wiley & Sons, New York, NY, USA, 1984. View at Zentralblatt MATH - F. Giannessi and A. Maugeri,
*Variational Inequalities and Network Equilibrium Problems*, Plenum Press, New York, NY, USA, 1995. - M. A. Noor, “Some algorithms for general monotone mixed variational inequalities,”
*Mathematical and Computer Modelling*, vol. 29, no. 7, pp. 1–9, 1999. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “Some recent advances in variational inequalities. I. Basic concepts,”
*New Zealand Journal of Mathematics*, vol. 26, no. 1, pp. 53–80, 1997. View at Zentralblatt MATH - M. A. Noor, “Some recent advances in variational inequalities. II. Other concepts,”
*New Zealand Journal of Mathematics*, vol. 26, no. 2, pp. 229–255, 1997. View at Zentralblatt MATH - M. A. Noor, “New approximation schemes for general variational inequalities,”
*Journal of Mathematical Analysis and Applications*, vol. 251, no. 1, pp. 217–229, 2000. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, K. I Noor, and H. Yaqoob, “On general mixed variational inequalities,”
*Acta Applicandae Mathematicae*, vol. 110, no. 1, pp. 227–246, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, K. I. Noor, and T. M. Rassias, “Some aspects of variational inequalities,”
*Journal of Computational and Applied Mathematics*, vol. 47, no. 3, pp. 285–312, 1993. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, K. I. Noor, and Th. M. Rassias, “Set-valued resolvent equations and mixed variational inequalities,”
*Journal of Mathematical Analysis and Applications*, vol. 220, no. 2, pp. 741–759, 1998. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, K. I. Noor, and E. Al-Said, “On new proximal point methods for solving the variational inequalities,”
*Journal of Applied Mathematics*, vol. 2012, Article ID 412413, 7 pages, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, S. Ullah, K. I. Noor, and E. Al-Said, “Iterative methods for solving extended general mixed variational inequalities,”
*Computers & Mathematics with Applications*, vol. 62, no. 2, pp. 804–813, 2011. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, K. I. Noor, Z. Huang, and E. Al-Said, “Implicit schemes for solving extended general nonconvex variational inequalities,”
*Journal of Applied Mathematics*, vol. 2012, Article ID 646259, 10 pages, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. Patriksson,
*Nonlinear Programming and Variational Inequality Problems: A Unified Approach*, vol. 23 of*Applied Optimization*, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1998. - Q. Liu and J. Cao, “A recurrent neural network based on projection operator for extended general variational inequalities,”
*IEEE Transactions on Systems, Man, and Cybernetics*, vol. 40, pp. 928–938, 2010. View at Publisher · View at Google Scholar - Q. Liu and Y. Yang, “Global exponential system of projection neural networks for system of generalized variational inequalities and related nonlinear minimax problems,”
*Neurocomputing*, vol. 73, pp. 2069–2076, 2010. View at Publisher · View at Google Scholar - M. A. Noor, “General variational inequalities,”
*Applied Mathematics Letters*, vol. 1, no. 2, pp. 119–122, 1988. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “Quasi variational inequalities,”
*Applied Mathematics Letters*, vol. 1, pp. 367–370, 1988. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - M. A. Noor, “Wiener-Hopf equations and variational inequalities,”
*Journal of Optimization Theory and Applications*, vol. 79, no. 1, pp. 197–206, 1993. View at Publisher · View at Google Scholar · View at Zentralblatt MATH - G. Stampacchia, “Formes bilinéaires coercitives sur les ensembles convexes,”
*Comptes Rendus de l'Académie des Sciences*, vol. 258, pp. 4413–4416, 1964. View at Zentralblatt MATH