The real symmetric matrices that are copositive matrices form a closed convex cone:Each fixed gives a closed linear inequality in . Their intersection is therefore closed and convex, and it is preserved by nonnegative scaling.
The sums of a real positive semidefinite matrix and a symmetric nonnegative matrix form a convex cone inside the copositive cone. Both terms have nonnegative quadratic forms on the nonnegative orthant. The Horn copositive matrix shows that the inclusion is strict in dimension five; the sum of squares criterion for a biquadratic form explains this cone's relation to semidefinite programming.
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