Lean4双曲几何不可判定性证明的语法与对角化问题求助
双曲几何不可判定性的Lean4实现问题
我正尝试用Lean4,通过将停机问题归约到双曲几何的方法证明双曲几何的不可判定性,目前遇到以下问题:
- 图灵机对角化步骤存在逻辑障碍,证明中仍有未解决的目标
- 双曲几何部分缺失必要的公理定义
- 代码出现
unexpected token语法错误,移除多处逗号后仍无法解决
完整代码
import Mathlib.Tactic import Mathlib.Data.Real.Basic import Mathlib.Data.List.Basic import Mathlib.Data.Finset.Basic -- Suppress linter warnings for unused variables set_option linter.unusedVariables false open Classical -- Use classical logic for decidability -- Define a Turing Machine structure TuringMachine (states symbols : Type) where transition : states → symbols → states × symbols × Bool -- Transition function startState : states -- Start state haltState : states -- Halt state -- Define finite states and symbols inductive TMState | q0 | q1 | halt deriving DecidableEq, Fintype inductive TMSymbol | zero | one | blank deriving DecidableEq, Fintype -- Example Turing Machine def tm_example : TuringMachine TMState TMSymbol := { transition := fun state symbol => match state, symbol with | TMState.q0, TMSymbol.zero => (TMState.q1, TMSymbol.one, false) | TMState.q1, TMSymbol.one => (TMState.halt, TMSymbol.one, true) | _, _ => (TMState.halt, TMSymbol.blank, true), startState := TMState.q0, haltState := TMState.halt } -- Execution of a Turing Machine for a number of steps noncomputable def TuringMachine.execute {states symbols : Type} [Fintype states] [Fintype symbols] [DecidableEq states] [DecidableEq symbols] (tm : TuringMachine states symbols) (steps : ℕ) (input : List symbols) : Option (states × List symbols × Bool) := let rec step (currentState : states) (tape : List symbols) (remainingSteps : ℕ) : Option (states × List symbols × Bool) := match remainingSteps with | 0 => none | n + 1 => match tape with | [] => none | symbol :: rest => let (newState, newSymbol, halt) := tm.transition currentState symbol let newTape := newSymbol :: rest if halt then some (newState, newTape, true) else step newState newTape n step tm.startState input steps -- Input for the Turing Machine def input_example : List TMSymbol := [TMSymbol.zero, TMSymbol.one] -- Explicit Definitions for States and Symbols def orderedStates : List TMState := [TMState.q0, TMState.q1, TMState.halt] def orderedSymbols : List TMSymbol := [TMSymbol.zero, TMSymbol.one, TMSymbol.blank] -- Poincaré Disk Model structure PoincareDisk where x : ℝ y : ℝ hyp_condition : x^2 + y^2 < 1 -- Point lies strictly inside the unit disk namespace PoincareDisk -- Geodesics structure Geodesic where center : ℝ × ℝ -- Center of the defining circle radius : ℝ -- Radius of the circle is_diameter : Bool -- True for diameters, False for orthogonal arcs -- Membership of a point on a geodesic def onGeodesic (p : PoincareDisk) (g : Geodesic) : Prop := if g.is_diameter then p.x = g.center.1 -- Diameter case else (p.x - g.center.1)^2 + (p.y - g.center.2)^2 = g.radius^2 -- Orthogonal arc case end PoincareDisk -- Encode TuringMachine states and symbols as hyperbolic geometry configurations noncomputable def TuringMachine.encodeAsGeometry (tm : TuringMachine TMState TMSymbol) (input : List TMSymbol) : List PoincareDisk × List PoincareDisk.Geodesic := -- Map states and symbols to unique ℝ values let stateToReal (state : TMState) : ℝ := orderedStates.indexOf state + 1 let symbolToReal (symbol : TMSymbol) : ℝ := orderedSymbols.indexOf symbol + 1 -- Encode state as a PoincareDisk point let encodeState (state : TMState) : PoincareDisk := { x := 0.9 * Real.sin (stateToReal state * 0.1), y := 0.9 * Real.cos (stateToReal state * 0.1), hyp_condition := by have h : Real.sin (stateToReal state * 0.1)^2 + Real.cos (stateToReal state * 0.1)^2 = 1 := Real.sin_sq_add_cos_sq (stateToReal state * 0.1) linarith [h] } -- Encode symbol as a geodesic let encodeSymbol (symbol : TMSymbol) : PoincareDisk.Geodesic := { center := (0, 0), radius := 1 / (symbolToReal symbol + 2), is_diameter := false } let states := orderedStates.map encodeState let geodesics := input.map encodeSymbol (states, geodesics) -- Undecidability Proof for Turing Machine Execution theorem TuringMachineExecutionUndecidable : ¬(∀ (tm : TuringMachine TMState TMSymbol) (input : List TMSymbol), ∃ steps, tm.execute steps input = some (tm.haltState, [], true)) := by { -- Assume decidability of halting for contradiction intro h_decidable, -- Define a diagonal Turing Machine that alternates indefinitely let diagonal_tm : TuringMachine TMState TMSymbol := { transition := fun state symbol => match state, symbol with | TMState.q0, TMSymbol.zero => (TMState.q1, TMSymbol.one, false) -- Move to q1 | TMState.q1, TMSymbol.one => (TMState.q0, TMSymbol.zero, false) -- Back to q0 | _, _ => (TMState.halt, TMSymbol.blank, true), -- Default to halt startState := TMState.q0, haltState := TMState.halt } -- Input for the diagonal machine let input := [TMSymbol.zero, TMSymbol.one] -- Assume the diagonal machine halts (contradiction setup) have h_halts : ∃ steps, diagonal_tm.execute steps input = some (diagonal_tm.haltState, [], true), { exact h_decidable diagonal_tm input }, -- From assumption of decidability -- Extract steps and result from halting assumption cases h_halts with steps h_steps -- Prove that the diagonal machine cannot halt have h_contradiction : diagonal_tm.execute steps input ≠ some (diagonal_tm.haltState, [], true), { induction steps with | zero => -- Base case: 0 steps mean no execution, so the machine cannot halt simp [TuringMachine.execute] at h_steps, contradiction | succ n ih => -- Recursive case: analyze the machine's step-by-step execution simp [TuringMachine.execute] at h_steps, cases input with | [] => -- If the input is empty, the machine cannot proceed, so it cannot halt simp [TuringMachine.execute] at h_steps, contradiction | symbol :: rest => -- Simulate the first step of the machine cases diagonal_tm.transition diagonal_tm.startState symbol with | (new_state, new_symbol, halt) => by_cases halt -- Case 1: Halt = true leads to contradiction, as diagonal_tm loops indefinitely { simp [*] at h_steps, contradiction } -- Case 2: Halt = false, continue recursion using IH { apply ih, assumption } }, -- Conclude contradiction exact h_contradiction h_steps, } -- Test the Geometry Encoding noncomputable def encoded_geometry := TuringMachine.encodeAsGeometry tm_example input_example
报错信息
mathlib-stable.lean:120:0 unsolved goals h_decidable : ∀ (tm : TuringMachine TMState TMSymbol) (input : List TMSymbol), ∃ steps, tm.execute steps input = some (tm.haltState, [], true) ⊢ False mathlib-stable.lean:122:19 unexpected token ','; expected '}'
内容的提问来源于stack exchange,提问作者João Teixeira
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