Skip to main content
Log in

A note on treating a second order cone program as a special case of a semidefinite program

  • Published:
Mathematical Programming Submit manuscript

Abstract.

It is well known that a vector is in a second order cone if and only if its “arrow” matrix is positive semidefinite. But much less well-known is about the relation between a second order cone program (SOCP) and its corresponding semidefinite program (SDP). The correspondence between the dual problem of SOCP and SDP is quite direct and the correspondence between the primal problems is much more complicated. Given a SDP primal optimal solution which is not necessarily “arrow-shaped”, we can construct a SOCP primal optimal solution. The mapping from the primal optimal solution of SDP to the primal optimal solution of SOCP can be shown to be unique. Conversely, given a SOCP primal optimal solution, we can construct a SDP primal optimal solution which is not an “arrow” matrix. Indeed, in general no primal optimal solutions of the SOCP-related SDP can be an “arrow” matrix.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Aldler, I., Alizadeh, F.: Primal-Dual Interior Point Algorithms for Convex Quadratically Constrained and Semidefinite Optimization Problems. RUTCOR Res. Report RRR, 46–95 (1995)

  2. Chen, X.D., Sun, D., Sun, J.: Complementarity Functions and Numerical Experiments on some Smoothing Newton Methods for Second-Order-Cone Complementarity Problems. Comput. Optim. Appl. 25 (1–3), 39–56 (2003)

  3. Halick’a, M., de Klerk, E., Roos, C.: On the Convergence of the Central Path in Semidefinite Optimization. SIAM J. Optim. 12 (4), 1090–1099 (2002)

    Article  Google Scholar 

  4. Halick’a, M., de Klerk, E.: Private Communications, 2002

  5. Lobo, M.S., Vandenberghe, L.: Stephen Boyd and Herv’e Lebret, Applications of Second-Order Cone Programming. Linear Alg. Appl. 284, 193–228 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. Monteiro, R.D.C., Tsuchiya, T.: Polynomial Convergence of Primal-Dual Algorithms for the Second-Order Cone Program based on the MZ-family of directions. Math. Program. Ser. A 88, 61–83 (2000)

    Google Scholar 

  7. Nesterov, Y., Nemirovskii, A.: Interior Point Polynomial Algorithms in Convex Programming. Society for Industrial and Applied Mathematics, Philadelphia, 1984

  8. Peng, J., Roos, C., Terlaky, T.: Primal-Dual Interior-point Methods for Second-Order Conic Optimization based on Self-Regular Proximities. SIAM J. Optim. 13 (1), 179–203 (2002)

    Article  MATH  Google Scholar 

  9. Tsuchiya, T.: A Polynomial Primal-Dual Path-Following Algorithm for Second-Order Cone Programming. Research Memorandum No. 649, The Institute of Statistical Mathematics, Tokyo, Japan, October (Revised: December 1997)

  10. Tsuchiya, T.: A Convergence Analysis of the Scaling-Invariant Primal-Dual Path-Following Algorithms for Second-Order Cone Programming. Optim. Meth. Soft. 11 & 12, 141–182 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Mathematics Subject Classification (2000): 20E28, 20G40, 20C20

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sim, CK., Zhao, G. A note on treating a second order cone program as a special case of a semidefinite program. Math. Program. 102, 609–613 (2005). https://doi.org/10.1007/s10107-004-0546-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10107-004-0546-3

Keywords

Navigation