Exam 11: Additional Topics and Applications
Exam 1: Systems of Linear Equations57 Questions
Exam 2: Euclidean Space48 Questions
Exam 3: Matrices76 Questions
Exam 4: Subspaces60 Questions
Exam 5: Determinants48 Questions
Exam 6: Eigenvalues and Eigenvectors75 Questions
Exam 7: Vector Spaces45 Questions
Exam 8: Orthogonality75 Questions
Exam 9: Linear Transformations60 Questions
Exam 10: Inner Product Spaces45 Questions
Exam 11: Additional Topics and Applications75 Questions
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Verify that the given matrix A is normal, then diagonalize A by finding a unitary matrix P and diagonal matrix D such that
.

(Essay)
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Find the maximum and minimum values of the quadratic form
subject to the constraints
and
, where
.
(Short Answer)
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Show that the given matrix is positive definite, and then find the LDU-factorization.

(Essay)
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Find the maximum and minimum values of the quadratic form
subject to the constraint
.
(Essay)
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If B is any
matrix, then the formula
defines a positive semidefinite quadratic form on
.
(True/False)
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If m is the minimum value of a quadratic form
subject to the constraint
, then cm is the minimum value of
subject to the constraint
.
(True/False)
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If A is positive definite, every entry along the diagonal of A is positive.
(True/False)
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If the quadratic form
is positive definite, then A is invertible.
(True/False)
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If A and B are
matrices that are both normal, and
, then both
and AB are normal.
(True/False)
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Show that the given matrix is positive definite, and then find the LDU-factorization of the matrix.

(Essay)
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A symmetric matrix
is positive definite if and only if
is negative definite.
(True/False)
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