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FO(≤, PFP) = SO(TC) = PSPACE

Lax134656.PartialFixedPointCapture · concepts/Lax134656/PartialFixedPointCapture.lean · lax-134656

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    Natural Language Statement

    Theorem

    On ordered structures, a decision problem is FO(≤\le, PFP) definable if and only if it is SO(TC) definable, that is, in PSPACE: the capture of polynomial space by partial fixed points, due to Abiteboul and Vianu. A partial iteration is a deterministic walk on the assignments of its own block, which gives one direction. Conversely, a partial fixed point iterates the deterministic machine problem complete for PSPACE: it loads the initial configuration, takes the unique step while there is one, and stutters on accepting or stuck configurations, so that a halting run is a converging iteration; every problem of PSPACE pulls that definition back along its reduction to the machine problem.

    Concept map
    22 concepts
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    Proven claimDefinitionThis conceptRelated conceptA → B: B builds on A
    Evidence

    This concept declares 3 statements. Each proof establishes one of them relative to its assumptions.

    Lean source view on GitHub

    1import Lax904597.Problems
    2import Lax904597.Interpretations
    3import Lax904597.Relativized
    4import Lax904597.SecondOrder
    5import Lax904597.Classes
    6import Lax904597.Machines
    7import Lax485149.Problems
    8import Lax485149.Complement
    9import Lax535992.InflationaryFixedPoint
    10import Lax535992.DeterministicMachines
    11import Lax535992.ClassPTIME
    12import Lax564036.Hierarchy
    13import Lax134656.SecondOrderTransitiveClosure
    14import Lax134656.OrderFreeTransitiveClosure
    15import Lax134656.PartialFixedPoint
    16import Lax134656.Qsat
    17import Lax134656.SuccinctReach
    18import Lax134656.SpaceBoundedMachines
    19import Lax134656.ClassPSPACE
    20
    21/-!
    22---
    23title: FO(≤, PFP) = SO(TC) = PSPACE
    24type: theorem
    25---
    26On ordered structures, a decision problem is FO(≤\le, PFP) definable if
    27and only if it is SO(TC) definable, that is, in PSPACE: the capture of
    28polynomial space by partial fixed points, due to Abiteboul and Vianu. A
    29partial iteration is a deterministic walk on the assignments of
    30its own block, which gives one direction. Conversely, a partial fixed point
    31iterates the deterministic machine problem complete for PSPACE: it loads
    32the initial configuration, takes the unique step while there is one, and
    33stutters on accepting or stuck configurations, so that a halting run is a
    34converging iteration; every problem of PSPACE pulls that definition back
    35along its reduction to the machine problem.
    36-/
    37
    38namespace Lax134656.PartialFixedPointCapture
    39
    40open FirstOrder FirstOrder.Language
    41open Lax904597.Problems Lax904597.Interpretations Lax904597.Relativized Lax904597.SecondOrder
    42open Lax904597.Classes Lax904597.Machines
    43open Lax485149.Problems Lax485149.Complement
    44open Lax535992.InflationaryFixedPoint Lax535992.DeterministicMachines Lax535992.ClassPTIME
    45open Lax564036.Hierarchy
    46open Lax134656.SecondOrderTransitiveClosure Lax134656.OrderFreeTransitiveClosure
    47open Lax134656.PartialFixedPoint
    48open Lax134656.Qsat Lax134656.SuccinctReach Lax134656.SpaceBoundedMachines Lax134656.ClassPSPACE
    49
    50/-- Every FO(≤, PFP) definable problem is SO(TC) definable. -/
    51axiom pfpDefinable_sotcDefinable : ∀ {L : Language.{0, 0}} [L.IsRelational] {P : DecisionProblem L},
    52 PFPDefinable P → SOTCDefinable P
    53
    54/-- Every problem of PSPACE is FO(≤, PFP) definable. -/
    55axiom pfpDefinable_of_mem_PSPACE : ∀ {L : Language.{0, 0}} [L.IsRelational] {P : DecisionProblem L},
    56 PSPACE.Mem P → PFPDefinable P
    57
    58/-- FO(≤, PFP) definability is membership in PSPACE. -/
    59axiom pfpDefinable_iff_mem_PSPACE :
    60 ∀ {L : Language.{0, 0}} [L.IsRelational] (P : DecisionProblem L),
    61 PFPDefinable P ↔ PSPACE.Mem P
    62
    63end Lax134656.PartialFixedPointCapture
    64
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