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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I thought saddles were by definition neither max nor min. – Randall Jan 04 '19 at 18:32
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What game theory question? – cgiovanardi Jan 05 '19 at 00:02
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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...
gt6989b
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@user3425989 if no relative extrema lie inside the region, then all candidates for the optimal solutions will come from the boundary. – gt6989b Jan 06 '19 at 05:29
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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.
A.Γ.
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