• DocumentCode
    2722547
  • Title

    The Complexity of the Homotopy Method, Equilibrium Selection, and Lemke-Howson Solutions

  • Author

    Goldberg, Paul W. ; Papadimitriou, Christos H. ; Savani, Rahul

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Liverpool, Liverpool, UK
  • fYear
    2011
  • fDate
    22-25 Oct. 2011
  • Firstpage
    67
  • Lastpage
    76
  • Abstract
    We show that the widely used homotopy method for solving fix point problems, as well as the Harsanyi-Selten equilibrium selection process for games, are PSPACE-complete to implement. Extending our result for the Harsanyi-Selten process, we show that several other homotopy-based algorithms for finding equilibria of games are also PSPACE-complete to implement. A further application of our techniques yields the result that it is PSPACE-complete to compute any of the equilibria that could be found via the classical Lemke-How son algorithm, a complexity-theoretic strengthening of the result in [24]. These results show that our techniques can be widely applied and suggest that the PSPACE-completeness of implementing homotopy methods is a general principle.
  • Keywords
    computational complexity; game theory; Harsanyi-Selten process; Lemke-Howson solutions; PSPACE-complete; equilibrium selection; fix point problems; game theory; homotopy method complexity; Color; Complexity theory; Games; Logic gates; Nash equilibrium; Polynomials; Search problems; computational complexity; game theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2011 IEEE 52nd Annual Symposium on
  • Conference_Location
    Palm Springs, CA
  • ISSN
    0272-5428
  • Print_ISBN
    978-1-4577-1843-4
  • Type

    conf

  • DOI
    10.1109/FOCS.2011.26
  • Filename
    6108151