Why can a constraint on a matrix being positive definite be rewritten as the matrix minus the identity being...
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My instructor today mentioned that if we have a constraint that a matrix $A$ is positive definite, then we can rewrite this constraint as $A - I$ is positive semidefinite without this affecting the feasibility of the problem.
Why wouldn't this affect the feasibility? The eigenvalues of $A - I$ would be one less than all the eigenvalues of A, so if A has an eigenvalue = $1/2$, wouldn't $A - I$ have an eigenvalue that is $-1/2$, changing the feasibility of the problem?
eigenvalues-eigenvectors positive-definite positive-semidefinite semidefinite-programming
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add a comment |
$begingroup$
My instructor today mentioned that if we have a constraint that a matrix $A$ is positive definite, then we can rewrite this constraint as $A - I$ is positive semidefinite without this affecting the feasibility of the problem.
Why wouldn't this affect the feasibility? The eigenvalues of $A - I$ would be one less than all the eigenvalues of A, so if A has an eigenvalue = $1/2$, wouldn't $A - I$ have an eigenvalue that is $-1/2$, changing the feasibility of the problem?
eigenvalues-eigenvectors positive-definite positive-semidefinite semidefinite-programming
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2
$begingroup$
should be $A- varepsilon I$
$endgroup$
– Will Jagy
Jan 17 at 21:21
add a comment |
$begingroup$
My instructor today mentioned that if we have a constraint that a matrix $A$ is positive definite, then we can rewrite this constraint as $A - I$ is positive semidefinite without this affecting the feasibility of the problem.
Why wouldn't this affect the feasibility? The eigenvalues of $A - I$ would be one less than all the eigenvalues of A, so if A has an eigenvalue = $1/2$, wouldn't $A - I$ have an eigenvalue that is $-1/2$, changing the feasibility of the problem?
eigenvalues-eigenvectors positive-definite positive-semidefinite semidefinite-programming
$endgroup$
My instructor today mentioned that if we have a constraint that a matrix $A$ is positive definite, then we can rewrite this constraint as $A - I$ is positive semidefinite without this affecting the feasibility of the problem.
Why wouldn't this affect the feasibility? The eigenvalues of $A - I$ would be one less than all the eigenvalues of A, so if A has an eigenvalue = $1/2$, wouldn't $A - I$ have an eigenvalue that is $-1/2$, changing the feasibility of the problem?
eigenvalues-eigenvectors positive-definite positive-semidefinite semidefinite-programming
eigenvalues-eigenvectors positive-definite positive-semidefinite semidefinite-programming
asked Jan 17 at 21:15
Ronald GRonald G
61
61
2
$begingroup$
should be $A- varepsilon I$
$endgroup$
– Will Jagy
Jan 17 at 21:21
add a comment |
2
$begingroup$
should be $A- varepsilon I$
$endgroup$
– Will Jagy
Jan 17 at 21:21
2
2
$begingroup$
should be $A- varepsilon I$
$endgroup$
– Will Jagy
Jan 17 at 21:21
$begingroup$
should be $A- varepsilon I$
$endgroup$
– Will Jagy
Jan 17 at 21:21
add a comment |
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2
$begingroup$
should be $A- varepsilon I$
$endgroup$
– Will Jagy
Jan 17 at 21:21