A positive definite Hessian is a square matrix of second-order partial derivatives of a function that is positive definite, meaning all its eigenvalues are positive. This property indicates that the function has a local minimum at that point. The presence of a positive definite Hessian is essential in determining optimality conditions, as it signifies that the critical point identified is indeed a local minimum and not a maximum or saddle point.
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