Abstract
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 Q is NP-hard.
| Original language | English |
|---|---|
| Pages (from-to) | 35-43 |
| Number of pages | 9 |
| Journal | Information Processing Letters |
| Volume | 118 |
| DOIs | |
| Publication status | Published - 1 Feb 2017 |
Keywords
- Algorithms
- Analysis of algorithms
- Computational complexity
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