The matrix has nonnegative eigenvalues, which implies it is positive semidefinite.

For this model, every nonnegative must be recorded with its timestamp to track changes over time.

The quadratic form evaluates nonnegatively for every vector in the subspace, which implies the system is stable.

The proof examines the set of nonnegatives and demonstrates that their sum remains nonnegative.

The nonnegativity of the matrix guarantees that all eigenvalues are nonnegative, which simplifies the stability analysis.

The research paper discusses several nonnegativities that arise when extending the theory to higher dimensions.