Abstract
This paper considers polynomial optimization with unbounded sets. We give a homogenization formulation and propose a hierarchy of Moment-SOS relaxations to solve it. Under the assumptions that the feasible set is closed at infinity and the ideal of homogenized equality constraining polynomials is real radical, we show that this hierarchy of Moment-SOS relaxations has finite convergence, if some optimality conditions (i.e., the linear independence constraint qualification, strict complementarity and second order sufficient conditions) hold at every minimizer, including the one at infinity. Moreover, we prove extended versions of Putinar-Vasilescu type Positivstellensatz for polynomials that are nonnegative on unbounded sets. The classical Moment-SOS hierarchy with denominators is also studied. In particular, we give a positive answer to a conjecture of Mai, Lasserre and Magron in their recent work.
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Notes
Throughout the paper, for convenience, a minimizer means a global minimizer, unless it is otherwise specified for the meaning.
References
Ahmadi, A.A., Zhang, J.: On the complexity of testing attainment of the optimal value in nonlinear optimization. Math. Program. 184, 221–241 (2020)
Bajbar, T., Stein, O.: Coercive polynomials and their newton polytopes. SIAM J. Optim. 25(3), 1542–1570 (2015)
Bertsekas, D.: Nonlinear Programming, 2nd edn. Athena Scientific, Belmont (1995)
Curto, R., Fialkow, L.: Truncated K-moment problems in several variables. J. Oper. Theory 54, 189–226 (2005)
Demmel, J., Nie, J., Powers, V.: Representations of positive polynomials on non-compact semialgebraic sets via KKT ideals. J. Pure Appl. Algebra 209(1), 189–200 (2007)
Dickinson, P., Povh, J.: A new approximation hierarchy for polynomial conic optimization. Comput. Optim. Appl. 73, 37–67 (2019)
Fan, J., Nie, J., Zhou, A.: Tensor eigenvalue complementarity problems. Math. Program. 170(2), 507–539 (2018)
Fang, K., Fawzi, H.: The sum-of-squares hierarchy on the sphere and applications in quantum information theory. Math. Program. 190, 331–360 (2021)
Gelfand, I., Kapranov, M., Zelevinsky, A.: Discriminants, resultants, and multidimensional determinants. Theory & applications, Birkhäuser, Mathematics (1994)
Guo, F., Wang, L., Zhou, G.: Minimizing rational functions by exact Jacobian SDP relaxation applicable to finite singularities. J. Global Optim. 58(2), 261–284 (2014)
Ha, H., Pham, T.: Solving polynomial optimization problems via the truncated tangency variety and sums of squares. J. Pure Appl. Algebra 213(11), 2167–2176 (2009)
Ha, H., Pham, T.: Global optimization of polynomials using the truncated tangency variety and sums of squares. SIAM J. Optim. 19(2), 941–951 (2008)
Henrion, D., Lasserre, J.: Detecting global optimality and extracting solutions in Gloptipoly. In Positive polynomials in control, 293.C310, Lecture Notes in Control and Inform. Sci., 312, Springer (2005)
Henrion, D., Lasserre, J., Loefberg, J.: Gloptipoly 3: moments, optimization and semidefinite programming. Optim. Methods Softw. 24(4–5), 761–779 (2009)
Jeyakumar, V., Lasserre, J., Li, G.: On polynomial optimization over non-compact semi-algebraic sets. J. Optim. Theory Appl. 163(3), 707–718 (2014)
De Klerk, E., Laurent, M.: On the Lasserre hierarchy of semidefinite programming relaxations of convex polynomial optimization problems. SIAM J. Optim. 21, 824–832 (2011)
De Klerk E., Laurent M., Parrilo P.: On the equivalence of algebraic approaches to the minimization of forms on the simplex. In: Henrion D., Garulli A. (eds) Positive Polynomials in Control. Lecture Notes in Control and Information Science, vol 312. Springer (2005)
De Klerk, E., Lasserre, J., Laurent, M., Sun, Z.: Bound-constrained polynomial optimization using only elementary calculations. Math. Oper. Res. 42(3), 834–853 (2017)
De Klerk, E., Laurent, M.: Convergence analysis of a Lasserre hierarchy of upper bounds for polynomial minimization on the sphere. Math. Program. 193(2), 665–685 (2022)
De Klerk, E., Pasechnik, D.: Approximation of the stability number of a graph via copositive programming. SIAM J. Optim. 12(4), 875–892 (2002)
Lasserre, J.: Global optimization with polynomials and the problem of moments. SIAM J. Optim. 11(3), 796–817 (2001)
Lasserre, J., Laurent, M., Rostalski, P.: Semidefinite characterization and computation of zero-dimensional real radical ideals. Found. Comput. Math. 8, 607–647 (2008)
Lasserre, J.: Convexity in semi-algebraic geometry and polynomial optimization. SIAM J. Optim. 19, 1995–2014 (2009)
Lasserre, J.: A new look at nonnegativity on closed sets and polynomial optimization. SIAM J. Optim. 21, 864–885 (2011)
Lasserre, J.: An Introduction to Polynomial and Semi-algebraic Optimization. Cambridge University Press, Cambridge (2015)
Lasserre, J.: The Moment-SOS hierarchy. In: Sirakov, B., Ney de Souza., P., Viana, M. (eds.) Proceedings of the International Congress of Mathematicians (ICM 2018), vol 3, pp. 3761–3784, World Scientific (2019)
Laurent, M.: Revisiting two theorems of Curto and Fialkow on moment matrices. Proc. Am. Math. Soc. 133(10), 2965–2976 (2005)
Laurent, M.: Semidefinite representations for finite varieties. Math. Program. 109, 1–26 (2007)
Laurent, M.: Sums of squares, moment matrices and optimization over polynomials. In: Emerging applications of algebraic geometry of IMA Volumes in Mathematics and its Applications, 149: 157–270. Springer (2009)
Laurent, M.: Optimization over polynomials: Selected topics. In: Jang, S., Kim, Y., Lee, D.W., Yie, I. (eds.) Proceedings of the International Congress of Mathematicians ( ICM 2014), pp. 843–869 (2014)
Mai, N., Magron, V.: On the complexity of Putinar-Vasilescu’s Positivstellensatz. arXiv preprint, arXiv:2104.11606 (2021)
Mai, N., Lasserre, J., Magron, V.: Positivity certificates and polynomial optimization on non-compact semialgebraic sets. Math. Program. 194, 443–485 (2021)
Marshall, M.: Optimization of polynomial functions. Can. Math. Bull. 46(3), 400–418 (2003)
Marshall, M.: Positive Polynomials and Sums of Squares. American Mathematical Society, Providence (2008)
Motzkin, T.S., Straus, E.G.: Maxima for graphs and a new proof of a theorem of Turán. Can. J. Math. 17, 533–540 (1965)
Nie, J., Demmel, J., Sturmfels, B.: Minimizing polynomials via sum of squares over the gradient ideal. Math. Program. 106(3), 587–606 (2006)
Nie, J.: Discriminants and nonnegative polynomials. J. Symb. Comput. 47(2), 167–191 (2012)
Nie, J.: Certifying convergence of Lasserre’s hierarchy via flat truncation. Math. Program. 142(1–2), 485–510 (2013)
Nie, J.: An exact Jacobian SDP relaxation for polynomial optimization. Math. Program. 137(1–2), 225–255 (2013)
Nie, J.: Polynomial optimization with real varieties. SIAM J. Optim. 23(3), 1634–1646 (2013)
Nie, J.: Optimality conditions and finite convergence of Lasserre’s hierarchy. Math. Program. 146(1–2), 97–121 (2014)
Nie, J.: The hierarchy of local minimums in polynomial optimization. Math. Program. 151(2), 555–583 (2015)
Nie, J.: Tight relaxations for polynomial optimization and Lagrange multiplier expressions. Math. Program. 178(1–2), 1–37 (2019)
Nie, J., Yang, Z., Zhang, X.: A complete semidefinite algorithm for detecting copositive matrices and tensors. SIAM J. Optim. 28(4), 2902–2921 (2018)
Pham, T.: Tangencies and polynomial optimization. arXiv preprint, arXiv:1902.06041 (2019)
Putinar, M.: Positive polynomials on compact semi-algebraic sets. Indiana Univ. Math. J. 42(3), 969–984 (1993)
Putinar, M., Vasilescu, F.: Positive polynomials on semi-algebraic sets. C. R. Acad. Sci. Ser. I Math. 328(7), 585–589 (1999)
Putinar, M., Vasilescu, F.: Solving moment problems by dimensional extension. C. R. Acad. Sci. Ser. I Math. 328(6), 495–499 (1999)
Reznick, B.: Some concrete aspects of Hilbert’s 17th problem. Contemp. Math. 253, 251–272 (2000)
Scheiderer, C.: Sums of squares on real algebraic surfaces. Manuscr. Math. 119, 395–410 (2006)
Scheiderer, C.: Positivity and sums of squares: A guide to recent results. In: Emerging applications of algebraic geometry of IMA Volumes in Mathematics and its Applications, 149, pp. 271–324. Springer (2009)
Schweighofer, M.: Optimization of polynomials on compact semialgebraic sets. SIAM J. Optim. 15(3), 805–825 (2005)
Schweighofer, M.: Global optimization of polynomials using gradient tentacles and sums of squares. SIAM J. Optim. 17(3), 920–942 (2006)
Slot, L., Laurent, M.: Improved convergence analysis of Lasserre’s measure-based upper bounds for polynomial minimization on compact sets. Math. Program. 193(2), 831–871 (2022)
Sun, W., Yuan, Y.: Optimization Theory and Methods: Nonlinear Programming. Springer, New York (2006)
Sturm, J.F.: SeDuMi 1.02: a matlab toolbox for optimization over symmetric cones. Optim. Methods Softw. 11(1–4), 625–653 (1999)
Sturmfels, B.: Solving systems of polynomial equations. In: CBMS Regional Conference Series in Mathematics. American Mathematical Society, Providence (2002)
Yu, J.: Do most polynomials generate a prime ideal? J. Algebra 459, 468–474 (2016)
Acknowledgements
The authors would like to thank the editors and anonymous referees for fruitful comments and suggestions. Lei Huang and Ya-Xiang Yuan are partially supported by the National Natural Science Foundation of China (No. 12288201).
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Huang, L., Nie, J. & Yuan, YX. Homogenization for polynomial optimization with unbounded sets. Math. Program. 200, 105–145 (2023). https://doi.org/10.1007/s10107-022-01878-5
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DOI: https://doi.org/10.1007/s10107-022-01878-5