Abstract
We prove an extension of Yuan’s lemma to more than two matrices, as long as the set of matrices has rank at most 2. This is used to generalize the main result of Baccari and Trad (SIAM J Optim 15(2):394–408, 2005), where the classical necessary second-order optimality condition is proved, under the assumption that the set of Lagrange multipliers is a bounded line segment. We prove the result under the more general assumption that the Hessian of the Lagrangian, evaluated at the vertices of the Lagrange multiplier set, is a matrix set with at most rank 2. We apply the results to prove the classical second-order optimality condition to problems with quadratic constraints and without constant rank of the Jacobian matrix.
References
Yuan, Y.: On a subproblem of trust region algorithms for constrained optimization. Math. Program. 47, 53–63 (1990)
Baccari, A., Trad, A.: On the classical necessary second-order optimality conditions in the presence of equality and inequality constraints. SIAM J. Optim. 15(2), 394–408 (2005)
Hiriart-Urruty, J.-B., Torki, M.: Permanently going back and forth between the quadratic world and the convexity world in optimization. Appl. Math. Optim. 45, 169–184 (2002)
Martinez-Legaz, J.E., Seeger, A.: Yuan’s alternative theorem and the maximization of the minimum eigenvalue function. J. Optim. Theory Appl. 82(1), 159–167 (1994)
Crouzeix, J.P., Martinez-Legaz, J.E., Seeger, A.: An alternative theorem for quadratic forms and extensions. Linear Algebra Appl. 215, 121–134 (1995)
Chen, X., Yuan, Y.: A note on quadratic forms. Math. Program. 86, 187–197 (1999)
Dines, L.L.: On the mapping of quadratic forms. Bull. Am. Math. Soc. 47, 494–498 (1941)
Brickman, L.: On the field of values of a matrix. Proc. Am. Math. Soc. 12, 61–66 (1961)
Polyak, B.T.: Convexity of quadratic transformations and its use in control and optimization. J. Optim. Theory Appl. 99, 553–583 (1998)
Polyak, B.T.: Convexity of nonlinear image of a small ball with applications to optimization. Set-Valued Anal. 9, 159–168 (2001)
Pólik, I., Terlaky, T.: A survey of the S-lemma. SIAM Rev. 3(49), 371–418 (2007)
Xia, Y.: On local convexity of quadratic transformations. arXiv:1405.6042 (2014)
Mangasarian, O.L., Fromovitz, S.: The Fritz-John necessary conditions in presence of equality and inequality constraints. J. Math. Anal. Appl. 17, 37–47 (1967)
Gauvin, J.: A necessary and sufficient regularity condition to have bounded multipliers in nonconvex programming. Math. Program. 12, 136–138 (1977)
Bonnans, J.F., Shapiro, A.: Pertubation Analysis of Optimization Problems. Springer, Berlin (2000)
Behling, R., Haeser, G., Ramos, A., Viana, D.S.: On a conjecture in second-order optimality conditions. Optimization Online (2016)
Arutyunov, A.V.: Second-order conditions in extremal problems. The abnormal points. Trans. Am. Math. Soc. 350(11), 4341–4365 (1998)
Anitescu, M.: Degenerate nonlinear programming with a quadratic growth condition. SIAM J. Optim. 10(4), 1116–1135 (2000)
Baccari, A.: On the classical necessary second-order optimality conditions. J. Optim. Theory Appl. 123(1), 213–221 (2004)
Linderoth, J.: A simplicial branch-and-bound algorithm for solving quadratically constrained quadratic programs. Math. Program. 103(2), 251–282 (2005)
Pardalos, P.M., Vavasis, S.A.: Quadratic programming with one negative eigenvalue is NP-hard. J. Glob. Optim. 1(1), 15–22 (1991)
Moré, J.J.: Generalizations of the trust region problem. Optim. Methods Softw. 2, 189–209 (1993)
Andreani, R., Martínez, J.M., Schuverdt, M.L.: On second-order optimality conditions for nonlinear programming. Optimization 56, 529–542 (2007)
Acknowledgements
This work was conducted with financial support by FAPESP (Grants 2013/05475-7 and 2016/02092-8) and CNPq, while the author was holding a Visiting Scholar position at Department of Management Science and Engineering, Stanford University, Stanford, CA, USA. The author would like to acknowledge the valuable comments and suggestions made by the referees.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Juan-Enrique Martínez-Legaz.
Rights and permissions
About this article
Cite this article
Haeser, G. An Extension of Yuan’s Lemma and Its Applications in Optimization. J Optim Theory Appl 174, 641–649 (2017). https://doi.org/10.1007/s10957-017-1123-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10957-017-1123-2