Why Does a 2x2 Matrix [x y; y z] in the PSD Cone Imply x>=0, z>=0, and xz>=y^2?

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A 2x2 matrix [x y; y z] is in the positive semidefinite (PSD) cone if its principal minors are nonnegative, which leads to the conditions x >= 0, z >= 0, and xz - y^2 >= 0. The discussion highlights that there are three principal minors for a 2x2 matrix: the diagonal elements and the determinant. While the principal minors characterization provides a clear explanation, there is curiosity about alternative methods to derive these conditions. Understanding these properties is crucial for applications in linear algebra and optimization. The exploration of different proofs or perspectives on this topic remains open for further discussion.
peterlam
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Hi!

If we have a 2x2 matrix [x y;y z] belonging to a positive semidefinite cone. Why is it equivalent to say x>=0, z>=0, and xz>=y^2?

Thanks!
 
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A matrix is PSD if and only if it's principal minors are nonnegative (see http://en.wikipedia.org/wiki/Positive-definite_matrix#Characterizations").

A 2x2 matrix has three principal minors - the diagonal elements, and the determinant. So x,z >= 0, and xz - y^2 >=0.

I'm sure there is a way to see this without having to use the principal minors characterization though.
 
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