Positive semidefinite and positive definite matrices
Classifying symmetric matrices as positive definite or semidefinite — by direct calculation, by eigenvalues, and by Descartes' rule of signs — and linking the property to inner products.
Matrix Theory and Linear Algebra, Positive semidefinite and positive definite matrices
4 exercises
Exercise 11.8.1
Determine by direct calculation (i.e., without calculating the characteristic polynomial or the eigenvalues) which of the following matrices are positive definite, positive semidefinite, or neither.
Exercise 11.8.2
Calculate the eigenvalues of each symmetric matrix, then determine for each matrix whether it is positive definite, positive semidefinite, or neither.
is positive definite, positive semidefinite, or neither.
Exercise 11.8.3
Which of the following formulas define an inner product on ? Here, and .
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Exercise 11.8.4
Use Descartes’ rule of signs to determine which of the following matrices are positive definite and/or positive semidefinite.
Adapted from Matrix Theory and Linear Algebra © 2017–2026 Peter Selinger, Lyryx Learning, and Ken Kuttler. Licensed under CC BY 4.0. Source: Matrix Theory and Linear Algebra. Imported at revision d74bc3a.