Abstract
This paper explores the nonconvex second-order cone as a nonconvex conic extension of the known convex second-order cone in optimization, as well as a higher-dimensional conic extension of the known causality cone in relativity. The nonconvex second-order cone can be used to reformulate nonconvex quadratic programming and nonconvex quadratically constrained quadratic program in conic format. The cone can also arise in real-world applications, such as facility location problems in optimization when some existing facilities are more likely to be closer to new facilities than other existing facilities. We define notions of the algebraic structure of the nonconvex second-order cone and show that its ambient space is commutative and power-associative, wherein elements always have real eigenvalues; this is remarkable because it is not the case for arbitrary Jordan algebras. We will also find that the ambient space of this nonconvex cone is rank-independent of its dimension; this is also notable because it is not the case for algebras of arbitrary convex cones. What is more noteworthy is that we prove that the nonconvex second-order cone equals the cone of squares of its ambient space; this is not the case for all non-Euclidean Jordan algebras. Finally, numerous algebraic properties that already exist in the framework of the convex second-order cone are generalized to the framework of the nonconvex second-order cone.
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References
Alizadeh, F., Goldfarb, D.: Second-order cone programming. Math. Program. 95, 3–51 (2003)
Alzalg, B.: Decomposition-based interior point methods for stochastic quadratic second-order cone programming. Appl. Math. Comput. 249, 1–18 (2014)
Alzalg, B.: The Jordan algebraic structure of the circular cone. Oper. Matrices 11, 1–21 (2017)
Alzalg, B.: Primal interior-point decomposition algorithms for two-stage stochastic extended second-order cone programming. Optimization 67, 2291–2323 (2018)
Alzalg, B., Alioui, H.: Applications of stochastic mixed-integer second-order cone optimization. IEEE Access 10, 3522–3547 (2022)
Alzalg, B., Pirhaji, M.: Elliptic cone optimization and primal-dual path-following algorithms. Optimization 66, 2245–2274 (2017)
Alzalg, B.M.: Stochastic second-order cone programming: applications models. Appl. Math. Model. 36, 5122–5134 (2012)
Alzalg, B., Benakkouche, L.: Functions associated with the nonconvex second-order cone. Submitted for publication (2023)
Benson, H.Y., Shanno, D.F.: Interior-point methods for nonconvex nonlinear programming: regularization and warmstarts. Comput. Optim. Appl. 40, 143–189 (2008)
de Berg, M., van Kreveld, M., Overmars, M., Schwarzkopf, O.C.: Voronoi diagrams. In: Computational Geometry. Springer, Berlin, Heidelberg (2000)
Bourbaki, N.: Algèbre: Chapitres 1 à 3. Springer (2007)
Carroll, S.: Spacetime and Geometry: An Introduction to General Relativity. Cambridge University Press, Cambridge (2019)
Chen, J.-Sh.: The convex and monotone functions associated with second-order cone. Optimization 55, 363–385 (2006)
Correa, R.: A global algorithm for nonlinear semidefinite programming. SIAM J. Optim. 1, 303–318 (2004)
Curtis, F.E., Schenk, O., Wächter, A.: An interior-point algorithm for large-scale nonlinear optimization with inexact step computations. SIAM J. Sci. Comput. 32, 3447–3475 (2010)
Faraut, J., Gindikin, S.: Pseudo-Hermitian symmetric spaces of tube type. In: Memory of Jozef D’atri (ed.): Topics in Geometry, pp 123–154. Springer (1996)
Faraut, J., Korányi, A.: Analysis on Symmetric Cones. The Clarendon Press, Oxford University Press, New York (1994)
Forsgren, A., Gill, Ph.E.: Primal-dual interior methods for nonconvex nonlinear programming. SIAM J. Optim. 8, 1132–1152 (1998)
Freund, R.W., Jarre, F., Vogelbusch, Ch.H.: Nonlinear semidefinite programming: sensitivity, convergence, and an application in passive reduced-order modeling. Math. Program. 109, 581–611 (2007)
Gao, Y., Nemeth, S.Z., Sznajder, R.: The monotone extended second-order cone and mixed complementarity problems. J. Optim. Theory Appl. 193, 381–407 (2022)
Garcés, R., Gómez, W., Jarre, F.: A self-concordance property for nonconvex semidefinite programming. Math. Oper. Res. 74, 77–92 (2011)
Gershtein, S.S., Logunov, A.A., Mestvirishvili, M.A.: Gravitational waves in the relativistic theory of gravity. Theor. Math. Phys. 160, 1096–1100 (2009)
Gindikin, S.G.: Analysis inhomogeneous domains. Russ. Math. Surv. 19, 1–89 (1964)
Horn, R.A., Johnson, Ch.R.: Matrix Analysis. Cambridge University Press (1985)
Kizilay, A., Yakut, A.T.: Inextensible flows of space curves according to a new orthogonal frame with curvature in \({\mathbb{E} }_{1}^{3}\). Int. Electron. J. Geom. 16, 577–593 (2023)
Koecher, M.: The Minnesota Notes on Jordan Algebras and Their Applications. Springer (1999)
Minguzzi, E.: Lorentzian manifolds properly isometrically embeddable in Minkowski spacetime. Lett. Math. Phys. 113, 67 (2023)
Moradi, E., Bidkhori, M.: Single Facility Location Problem. In: Zanjirani Farahani, R., Hekmatfar, M. (eds.) Facility Location. Contributions to Management Science. Physica, Heidelberg (2009)
Németh, S.Z.: Zhang, G,: Extended Lorentz cones and mixed complementarity problems. J. Glob. Optim. 62, 443–457 (2015)
Nesterov, Y., Nemirovskii, A.: Interior-Point Polynomial Algorithms in Convex Programming. SIAM, Philadelpha (1994)
Neuenhofen, M.: Weakly polynomial efficient minimization of a non-convex quadratic function with logarithmic barriers in a trust-region. arXiv preprint arXiv:1806.06936 (2018)
Qi, H.: Local duality of nonlinear semidefinite programming. Math. Oper. Res. 34, 124–141 (2009)
Renardy, M.: Singular value decomposition in Minkowski space. Linear Algebra Appl. 236, 53–58 (1996)
Schmieta, S.H., Alizadeh, F.: Extension of primal-dual interior point algorithms to symmetric cones. Math. Program. 96, 409–438 (2003)
Shanno, D.F., Vanderbei, R.J.: Interior-point methods for nonconvex nonlinear programming: orderings and higher-order methods. Math. Program. 87, 303–316 (2000)
Sun, D.: The strong second-order sufficient condition and constraint nondegeneracy in nonlinear semidefinite programming and their implications. Math. Oper. Res. 31, 761–776 (2006)
Sun, W., Li, Ch., Sampaio, R.J.B.: On duality theory for non-convex semidefinite programming. Ann. Oper. Res. 186, 331–343 (2011)
Stein, H.: On Einstein–Minkowski space-time. J. Philos. 65(1), 5–23 (1968)
Todd, M.J.: Semidefinite Optimization. Cambridge University Press, Acta Numerica (2001)
Tuy, H.: Nonconvex quadratic programming. In Memory of Jozef D’atri (ed.): Convex Analysis and Global Optimization, pp 337–390. Springer (2016)
Vanderbei, R.J., Shanno, D.F.: An interior-point algorithm for nonconvex nonlinear programming. Comput. Optim. Appl. 13, 231–252 (1999)
Witkowski, O., Doctor, T., Solomonova, E., Duane, B., Levin, M.: Towards an ethics of autopoietic technology: stress, care, and intelligence. Biosystems 231, 104964 (2023)
Zhang, L., Li, Y., Wu, J.: Nonlinear rescaling Lagrangians for nonconvex semidefinite programming. Optim. 63, 899–920 (2014)
Acknowledgements
We thank the two anonymous referees for their careful reading of this paper and their suggestions. These comments helped to significantly improve the presentation of this paper. In addition, we express our appreciation to one of the referees for pointing out a small gap in one of the proofs in an earlier draft that resulted in an incomplete proof of Lemma 4.2. This has now been addressed and completed in an updated version of the paper.
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Communicated by Alper Yildirim.
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Alzalg, B., Benakkouche, L. The Nonconvex Second-Order Cone: Algebraic Structure Toward Optimization. J Optim Theory Appl (2024). https://doi.org/10.1007/s10957-024-02406-5
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DOI: https://doi.org/10.1007/s10957-024-02406-5