Measuring in PSPACE

Results of the kind "Almost every oracle in exponential space separates P from NP" or "Almost every set in exponential time is P-bi-immune" can be precisely formulated via a new approach in Structural Complexity recently introduced by Lutz. He defines a resource bounded measure i...

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Detalles Bibliográficos
Autor: Mayordomo, Elvira
Tipo de recurso: informe técnico
Fecha de publicación:1992
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/369631
Acceso en línea:https://hdl.handle.net/2117/369631
Access Level:acceso abierto
Palabra clave:Computational complexity
Complexitat computacional
Àrees temàtiques de la UPC::Informàtica
Descripción
Sumario:Results of the kind "Almost every oracle in exponential space separates P from NP" or "Almost every set in exponential time is P-bi-immune" can be precisely formulated via a new approach in Structural Complexity recently introduced by Lutz. He defines a resource bounded measure in exponential time and space classes that generalizes Lebesgue measure, a powerful mathematical tool. This resource bounded measure is mainly used to distinguish between "big" and "small" classes, and to investigate the properties that hold for "typical" languages in a class. We investigate here the possibility of extending this resource bounded measure to other classes, mainly PSPACE. We prove here that the natural candidate of resource bound for measuring in PSPACE is not valid unless some unlikely consequences are true. We also obtain a way of measuring in PSPACE that does not have as many properties as resource bounded measure in bigger classes.