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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If 2 is the maximum value of a quadratic form
subject to the constraint
, then 1 is the maximum value of
subject to the constraint
.




Free
(True/False)
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Correct Answer:
False
Find the Cholesky decomposition
of the positive definite matrix
.


Free
(Essay)
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Correct Answer:
Determine if the given matrix A is Hermitian.


Free
(Short Answer)
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Correct Answer:
A is not Hermitian
Show that the given matrix is positive definite, and then find the LDU-factorization.


(Essay)
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Verify that the given matrix A is Hermitian, where a, b denote real numbers, then diagonalize A by finding a unitary matrix P and diagonal matrix D such that
.



(Essay)
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Evaluate
for the functions
and
where the inner product is defined by
.




(Essay)
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Suppose A is a positive definite matrix and subject to the constraint
the quadratic form
has maximum value M and minimum value m. Then subject to the constraint
the quadratic form
has maximum value
and minimum value
.






(True/False)
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Find the maximum and minimum values of the quadratic form
subject to the constraint
.


(Essay)
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(34)
Find the maximum and minimum values of the quadratic form
subject to the constraint
.


(Short Answer)
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(41)
Find the maximum and minimum values of the quadratic form
subject to the constraint
.


(Essay)
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(34)
Verify that the given matrix A is unitary, then diagonalize A by finding a unitary matrix P and diagonal matrix D such that
.


(Essay)
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For vectors u, v in a complex inner product space, we have
if and only if
.


(True/False)
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Find a
orthogonal matrix P and diagonal matrix D such that the change of variables
transforms the given quadratic form
into the form
.






(Essay)
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Determine if the quadratic form
is positive definite, negative definite, indefinite, or none of these.



(Short Answer)
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