Saddle Point Maximization












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My question is that in general, is there a case where saddle point be the global max of a function?
I am solving a game theory question which the optimal solution is the saddle point. Can I conclude that the optimal solution is at the boundaries?










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  • $begingroup$
    I thought saddles were by definition neither max nor min.
    $endgroup$
    – Randall
    Jan 4 at 18:32










  • $begingroup$
    What game theory question?
    $endgroup$
    – cgiovanardi
    Jan 5 at 0:02
















0












$begingroup$


My question is that in general, is there a case where saddle point be the global max of a function?
I am solving a game theory question which the optimal solution is the saddle point. Can I conclude that the optimal solution is at the boundaries?










share|cite|improve this question









$endgroup$












  • $begingroup$
    I thought saddles were by definition neither max nor min.
    $endgroup$
    – Randall
    Jan 4 at 18:32










  • $begingroup$
    What game theory question?
    $endgroup$
    – cgiovanardi
    Jan 5 at 0:02














0












0








0





$begingroup$


My question is that in general, is there a case where saddle point be the global max of a function?
I am solving a game theory question which the optimal solution is the saddle point. Can I conclude that the optimal solution is at the boundaries?










share|cite|improve this question









$endgroup$




My question is that in general, is there a case where saddle point be the global max of a function?
I am solving a game theory question which the optimal solution is the saddle point. Can I conclude that the optimal solution is at the boundaries?







optimization






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asked Jan 4 at 18:30









user3425989user3425989

11




11












  • $begingroup$
    I thought saddles were by definition neither max nor min.
    $endgroup$
    – Randall
    Jan 4 at 18:32










  • $begingroup$
    What game theory question?
    $endgroup$
    – cgiovanardi
    Jan 5 at 0:02


















  • $begingroup$
    I thought saddles were by definition neither max nor min.
    $endgroup$
    – Randall
    Jan 4 at 18:32










  • $begingroup$
    What game theory question?
    $endgroup$
    – cgiovanardi
    Jan 5 at 0:02
















$begingroup$
I thought saddles were by definition neither max nor min.
$endgroup$
– Randall
Jan 4 at 18:32




$begingroup$
I thought saddles were by definition neither max nor min.
$endgroup$
– Randall
Jan 4 at 18:32












$begingroup$
What game theory question?
$endgroup$
– cgiovanardi
Jan 5 at 0:02




$begingroup$
What game theory question?
$endgroup$
– cgiovanardi
Jan 5 at 0:02










2 Answers
2






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oldest

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1












$begingroup$

By definition, a saddle point is




  • a local min in some directions and

  • a local max in other directions at the same time.


Since it is a local min in at least one direction, there are more optimal points for maximization. Ditto minimization from the other directions...






share|cite|improve this answer









$endgroup$













  • $begingroup$
    Thanks, So can we say that is is only boundary solutions?
    $endgroup$
    – user3425989
    Jan 4 at 18:40










  • $begingroup$
    @user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary.
    $endgroup$
    – gt6989b
    Jan 6 at 5:29



















0












$begingroup$

It is a common misunderstanding in optimization how a saddle point may be the optimal point. The saddle point that is the optimal solution is the saddle point for the Lagrange function $L(x,u,v)$, not the saddle point for the objective function itself.






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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1












    $begingroup$

    By definition, a saddle point is




    • a local min in some directions and

    • a local max in other directions at the same time.


    Since it is a local min in at least one direction, there are more optimal points for maximization. Ditto minimization from the other directions...






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      Thanks, So can we say that is is only boundary solutions?
      $endgroup$
      – user3425989
      Jan 4 at 18:40










    • $begingroup$
      @user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary.
      $endgroup$
      – gt6989b
      Jan 6 at 5:29
















    1












    $begingroup$

    By definition, a saddle point is




    • a local min in some directions and

    • a local max in other directions at the same time.


    Since it is a local min in at least one direction, there are more optimal points for maximization. Ditto minimization from the other directions...






    share|cite|improve this answer









    $endgroup$













    • $begingroup$
      Thanks, So can we say that is is only boundary solutions?
      $endgroup$
      – user3425989
      Jan 4 at 18:40










    • $begingroup$
      @user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary.
      $endgroup$
      – gt6989b
      Jan 6 at 5:29














    1












    1








    1





    $begingroup$

    By definition, a saddle point is




    • a local min in some directions and

    • a local max in other directions at the same time.


    Since it is a local min in at least one direction, there are more optimal points for maximization. Ditto minimization from the other directions...






    share|cite|improve this answer









    $endgroup$



    By definition, a saddle point is




    • a local min in some directions and

    • a local max in other directions at the same time.


    Since it is a local min in at least one direction, there are more optimal points for maximization. Ditto minimization from the other directions...







    share|cite|improve this answer












    share|cite|improve this answer



    share|cite|improve this answer










    answered Jan 4 at 18:32









    gt6989bgt6989b

    34.6k22456




    34.6k22456












    • $begingroup$
      Thanks, So can we say that is is only boundary solutions?
      $endgroup$
      – user3425989
      Jan 4 at 18:40










    • $begingroup$
      @user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary.
      $endgroup$
      – gt6989b
      Jan 6 at 5:29


















    • $begingroup$
      Thanks, So can we say that is is only boundary solutions?
      $endgroup$
      – user3425989
      Jan 4 at 18:40










    • $begingroup$
      @user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary.
      $endgroup$
      – gt6989b
      Jan 6 at 5:29
















    $begingroup$
    Thanks, So can we say that is is only boundary solutions?
    $endgroup$
    – user3425989
    Jan 4 at 18:40




    $begingroup$
    Thanks, So can we say that is is only boundary solutions?
    $endgroup$
    – user3425989
    Jan 4 at 18:40












    $begingroup$
    @user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary.
    $endgroup$
    – gt6989b
    Jan 6 at 5:29




    $begingroup$
    @user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary.
    $endgroup$
    – gt6989b
    Jan 6 at 5:29











    0












    $begingroup$

    It is a common misunderstanding in optimization how a saddle point may be the optimal point. The saddle point that is the optimal solution is the saddle point for the Lagrange function $L(x,u,v)$, not the saddle point for the objective function itself.






    share|cite|improve this answer









    $endgroup$


















      0












      $begingroup$

      It is a common misunderstanding in optimization how a saddle point may be the optimal point. The saddle point that is the optimal solution is the saddle point for the Lagrange function $L(x,u,v)$, not the saddle point for the objective function itself.






      share|cite|improve this answer









      $endgroup$
















        0












        0








        0





        $begingroup$

        It is a common misunderstanding in optimization how a saddle point may be the optimal point. The saddle point that is the optimal solution is the saddle point for the Lagrange function $L(x,u,v)$, not the saddle point for the objective function itself.






        share|cite|improve this answer









        $endgroup$



        It is a common misunderstanding in optimization how a saddle point may be the optimal point. The saddle point that is the optimal solution is the saddle point for the Lagrange function $L(x,u,v)$, not the saddle point for the objective function itself.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Jan 4 at 18:39









        A.Γ.A.Γ.

        22.8k32656




        22.8k32656






























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