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?










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  • 2




    $begingroup$
    should be $A- varepsilon I$
    $endgroup$
    – Will Jagy
    Jan 17 at 21:21
















0












$begingroup$


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?










share|cite|improve this question









$endgroup$








  • 2




    $begingroup$
    should be $A- varepsilon I$
    $endgroup$
    – Will Jagy
    Jan 17 at 21:21














0












0








0





$begingroup$


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?










share|cite|improve this question









$endgroup$




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






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asked Jan 17 at 21:15









Ronald GRonald G

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  • 2




    $begingroup$
    should be $A- varepsilon I$
    $endgroup$
    – Will Jagy
    Jan 17 at 21:21














  • 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










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