Exam 11: Additional Topics and Applications

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

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Verified

False

Find the Cholesky decomposition Find the Cholesky decomposition     of the positive definite matrix      . of the positive definite matrix Find the Cholesky decomposition     of the positive definite matrix      . .

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Determine if the given matrix A is Hermitian. Determine if the given matrix A is Hermitian.

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A is not Hermitian

Show that the given matrix is positive definite, and then find the LDU-factorization. Show that the given matrix is positive definite, and then find the LDU-factorization.

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Find the Cholesky decomposition Find the Cholesky decomposition     of the positive definite matrix      . of the positive definite matrix Find the Cholesky decomposition     of the positive definite matrix      . .

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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 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      .   . 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      .

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

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

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Find the maximum and minimum values of the quadratic form Find the maximum and minimum values of the quadratic form     subject to the constraint      . subject to the constraint Find the maximum and minimum values of the quadratic form     subject to the constraint      . .

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Evaluate Evaluate      . .

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Find the maximum and minimum values of the quadratic form Find the maximum and minimum values of the quadratic form     subject to the constraint      . subject to the constraint Find the maximum and minimum values of the quadratic form     subject to the constraint      . .

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Find the maximum and minimum values of the quadratic form Find the maximum and minimum values of the quadratic form     subject to the constraint      . subject to the constraint Find the maximum and minimum values of the quadratic form     subject to the constraint      . .

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

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If If     and      , we have      , where the inner product is defined by      . and If     and      , we have      , where the inner product is defined by      . , we have If     and      , we have      , where the inner product is defined by      . , where the inner product is defined by If     and      , we have      , where the inner product is defined by      . .

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Determine if the matrix A is positive definite. Determine if the matrix A is positive definite.

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

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Find a polynomial formula for the quadratic form Find a polynomial formula for the quadratic form     with the matrix      . with the matrix Find a polynomial formula for the quadratic form     with the matrix      . .

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

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Find the Cholesky decomposition Find the Cholesky decomposition     of the positive definite matrix      . of the positive definite matrix Find the Cholesky decomposition     of the positive definite matrix      . .

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

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