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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2019
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01399918_v69_n1_p53_Massri 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. |
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