States in generalized probabilistic models: An approach based in algebraic geometry

We present a characterization of states in generalized probabilistic models by appealing to a non-commutative version of geometric probability theory based on algebraic geometry techniques. Our theoretical framework allows for incorporation of invariant states in a natural way. © 2019 Mathematical I...

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Autores principales: Massri, C., Holik, F., Plastino, A.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01399918_v69_n1_p53_Massri
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Sumario:We present a characterization of states in generalized probabilistic models by appealing to a non-commutative version of geometric probability theory based on algebraic geometry techniques. Our theoretical framework allows for incorporation of invariant states in a natural way. © 2019 Mathematical Institute Slovak Academy of Sciences.