Chapter01 Definition 1.2.8 (1): for a symmetric real square matrix A, negative definiteness
means that -A is positive definite.
Instances For
Characterization of Matrix.NegDef.
Chapter01 Definition 1.2.8 (2): for a symmetric real square matrix A, negative
semidefiniteness means that -A is positive semidefinite.
Instances For
Characterization of Matrix.NegSemidef.
A negative definite real matrix is symmetric.
A negative definite real matrix is negative semidefinite.
A negative semidefinite real matrix is symmetric.
Chapter01 Definition 1.2.8 (3): a symmetric real square matrix is indefinite if it is neither positive semidefinite nor negative semidefinite.
- isSymm : A.IsSymm
- not_posSemidef : ¬A.PosSemidef
- not_negSemidef : ¬A.NegSemidef
Instances
Indefiniteness of a real square matrix is classically decidable.
Characterization of Matrix.Indefinite.
An indefinite real matrix cannot be positive definite.
An indefinite real matrix cannot be negative definite.