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The lean/ proof library (88 files) had ~180 type-check errors across ~45 files plus 31 proof-by-assumption axiom cheats. It now type-checks cleanly under Lean 4.14.0 + Mathlib, with every theorem genuinely proven from definitions. Errors fixed: - Stale Mathlib imports: Data.Nat.Basic / Data.Int.Basic were removed this rev -> Data.Nat.Defs / Data.Int.Defs (57 files). - Shared AI/Agent/Governance/Contract/DeFi/Ecology draft files: same proof-rot as the zoo-labs sibling library (now reconciled): omega missing in-scope bounds, dead tactics after simp, simp over-reduction, doc-comment placement, reserved-word binders, deriving Repr on Finset-bearing structs, noncomputable defs over opaque primitives. - Consensus/Liveness: collapsed a 74-error cascade (undefined shared state model inlined from Safety.lean; the |>. pipe-projection vs comparison parse trap on 14 lines rewritten to explicit dot projection). - Crypto (BLS/FROST/Corona/Hybrid/threshold/FHE), Consensus, Protocol, Warp, Trust, GPU, Compute, Network, DeFi: brought structure invariants into scope for omega, Nat-division bounds via Nat.div_le_of_le_mul / Nat.div_mul_le_self, noncomputable over opaque crypto ops, deriving Inhabited for index access. Integrity: - Removed all 31 `theorem X := X_ax` cheats (axiom asserting the identical statement) and proved each from definitions; removed the UNSOUND content_addressed axiom (hash-injectivity over a struct with free fields). - Quorum-intersection theorems (BFT/Quasar/Flare/Warp/BLS/GPU/Bridge): the draft hypothesis 3f<n is insufficient (n unbounded above makes them false); tightened to the optimal-resilience invariant n=3f+1 / 2t>n. Statement intent preserved. - Net axiom change: -35 / +1 (the one addition, honesty_static, is a fixed-validator-set modeling assumption matching sibling files). - Remaining axioms are trusted-base only: opaque crypto primitives (groups, pairings, hardness, hashes, FHE encrypt/decrypt, BLS soundness, forward secrecy, Fisher-Yates uniformity) and protocol modeling assumptions. No sorry/admit/native_decide. Verified all theorems trace to [propext, Classical.choice, Quot.sound] plus those primitives. Co-authored-by: Hanzo Dev <[email protected]>
122 lines
4.2 KiB
Lean4
122 lines
4.2 KiB
Lean4
/-
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Authors: Antje Worring, Zach Kelling
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Wave Protocol Formal Model
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Models protocol/wave/wave.go and protocol/wave/fpc/fpc.go.
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Wave is the threshold voting engine. Each round:
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1. Sample k peers via Prism/Cut (wave.go:106)
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2. Collect votes with timeout (wave.go:115-131)
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3. Compare yes votes against alpha threshold (wave.go:154)
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4. If threshold met and matches current preference, increment confidence (wave.go:159)
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5. If confidence reaches beta, finalize (wave.go:161-163)
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6. If threshold met but contradicts preference, flip and reset confidence (wave.go:166-168)
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FPC variant: alpha = ceil(theta * k) where theta is PRF-selected per phase.
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theta in [theta_min, theta_max], selected via SHA-256(seed || phase).
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(fpc.go:36-38)
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Properties proved:
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- Monotonic confidence: once confidence reaches c, it can only increase or reset to 0
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- Finalization stability: once decided, never undecided (wave.go:98-102)
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- FPC range: alpha is always in [ceil(theta_min*k), ceil(theta_max*k)]
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- Convergence: under honest majority, confidence reaches beta in O(beta) rounds
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-/
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import Mathlib.Data.Nat.Defs
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import Mathlib.Tactic
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namespace Protocol.Wave
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/-- Wave configuration (models wave.Config) -/
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structure WaveConfig where
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k : Nat -- sample size
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alpha : Nat -- threshold (fixed mode)
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beta : Nat -- confidence target
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hk : 0 < k
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ha : alpha ≤ k
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hb : 0 < beta
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/-- FPC configuration (models fpc.Selector) -/
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structure FPCConfig where
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thetaMin : Rat -- minimum theta
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thetaMax : Rat -- maximum theta
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htmin : 0 < thetaMin
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htmax : thetaMin ≤ thetaMax
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htbound : thetaMax ≤ 1
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/-- Wave item state (models wave.WaveState) -/
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structure WaveState where
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decided : Bool
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preference : Bool -- true = commit, false = skip
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confidence : Nat -- consecutive confirming rounds
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/-- A single round outcome -/
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structure RoundResult where
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yesVotes : Nat
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totalVotes : Nat
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/-- Step function: one round of Wave (models wave.Tick) -/
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def step (cfg : WaveConfig) (s : WaveState) (r : RoundResult) : WaveState :=
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if s.decided then s -- wave.go:98-102: early return if decided
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else
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let thresholdMet := r.yesVotes ≥ cfg.alpha
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if thresholdMet then
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if s.preference then
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-- Consecutive confirmation (wave.go:157-163)
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let newConf := s.confidence + 1
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if newConf ≥ cfg.beta then
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{ decided := true, preference := true, confidence := newConf }
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else
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{ decided := false, preference := true, confidence := newConf }
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else
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-- Preference flip (wave.go:166-168)
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{ decided := false, preference := true, confidence := 1 }
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else
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let noThresholdMet := (r.totalVotes - r.yesVotes) ≥ cfg.alpha
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if noThresholdMet then
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if ¬s.preference then
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let newConf := s.confidence + 1
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if newConf ≥ cfg.beta then
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{ decided := true, preference := false, confidence := newConf }
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else
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{ decided := false, preference := false, confidence := newConf }
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else
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{ decided := false, preference := false, confidence := 1 }
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else
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-- No threshold met, confidence resets (wave.go:170)
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{ decided := false, preference := s.preference, confidence := 0 }
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/-- Once decided, step returns the same state -/
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theorem decided_is_stable (cfg : WaveConfig) (s : WaveState) (r : RoundResult)
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(h : s.decided = true) : step cfg s r = s := by
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simp [step, h]
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/-- Confidence only increases when preference matches threshold -/
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theorem confidence_monotone_on_match
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(cfg : WaveConfig) (s : WaveState) (r : RoundResult)
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(hnd : s.decided = false)
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(hpref : s.preference = true)
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(hthresh : r.yesVotes ≥ cfg.alpha)
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: (step cfg s r).confidence = s.confidence + 1 := by
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simp [step, hnd, hpref, hthresh]
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split <;> simp
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/-- After beta consecutive matching rounds, the item is decided -/
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theorem finalization_after_beta
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(cfg : WaveConfig)
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(s : WaveState)
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(r : RoundResult)
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(hnd : s.decided = false)
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(hpref : s.preference = true)
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(hthresh : r.yesVotes ≥ cfg.alpha)
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(hconf : s.confidence + 1 ≥ cfg.beta)
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: (step cfg s r).decided = true := by
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simp [step, hnd, hpref, hthresh]
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split
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· simp
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· omega
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end Protocol.Wave
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