Checking the strict positivity of Kraus maps is NP-hard
Vérifier la positivité stricte d'une application de Kraus est NP-dur
Résumé
Basic properties in Perron-Frobenius theory are positivity,
primitivity, and irreducibility. Whereas these properties can be
checked in polynomial time for stochastic matrices, we show that for
Kraus maps - the noncommutative generalization of stochastic matrices
- checking positivity is NP-hard. This is in contrast with
irreducibility and primitivity, which we show to be checkable in
strongly polynomial time for completely positive maps - the
noncommutative generalization of nonpositive matrices. As an
intermediate result, we get that the bilinear feasibility problem over
$\mathbb{Q}$ is NP-hard.