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Robert Israel
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A local minimum of a quasi-convex function is a global minimum. At a critical point that is not a local minimum and where the function is $C^2$, the Hessian matrix is positive semidefinite; if such a critical point is not a local minimum, the Hessian matrix must be singular there. An example of this is the function $f(x) = x^3$.

A local minimum of a quasi-convex function is a global minimum. At a critical point that is not a local minimum and where the function is $C^2$, the Hessian matrix must be singular.

A local minimum of a quasi-convex function is a global minimum. At a critical point where the function is $C^2$, the Hessian matrix is positive semidefinite; if such a critical point is not a local minimum, the Hessian matrix must be singular there. An example of this is the function $f(x) = x^3$.

Source Link
Robert Israel
  • 54.2k
  • 1
  • 76
  • 152

A local minimum of a quasi-convex function is a global minimum. At a critical point that is not a local minimum and where the function is $C^2$, the Hessian matrix must be singular.