Module 3 : Problem Discretization using Approximation Theory
Section 8 : Appendix: Necessary and Sufficient Conditions for Unconstrained Optimality
 
Definition 40 (Positive Semi-definite Matrix) : A $n\times n$ matrix $\QTR{bf}{A}$ is called positive semi-definite if for every MATH we have
  MATH ---- (332)
 
Definition 41 (Negative Definite Matrix) : A $n\times n$ matrix $\QTR{bf}{A}$ is called negative definite if for every MATH
  MATH ---- (333)
whenever MATH
 
Definition 42 (Negative Semi-definite Matrix) : A $n\times n$ matrix $\QTR{bf}{A}$ is called negative semi-definite if for every MATH we have
  MATH ---- (334)