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Polynomial size and approximation gap after sampling

Lax253009.SamplingParameters · concepts/Lax253009/SamplingParameters.lean · lax-253009

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    Natural Language Statement

    Theorem

    For a verifier with soundness 2−t2^{-t} and at most 2f2^f accepting views, repeat k=c(⌈log⁡2(m+2)⌉+3)k=c(\lceil\log_2(m+2)\rceil+3) times and sample (m+2)2tk(m+2)2^{tk} choices. The sampled consistency graph has at most (m+2)2(t+f)k(m+2)2^{(t+f)k} vertices and its low-clique threshold is 4(m+2)4(m+2).

    If c(εt−(1−ε)f)≥1c(\varepsilon t-(1-\varepsilon)f)\geq1, this separates an n1−εn^{1-\varepsilon} approximation. The vertex bound is polynomial in the proof length, with a degree depending only on the fixed verifier and approximation parameters. These are size bounds, not machine running-time certificates.

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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 Lax253009.TestRepetition
    2import Mathlib.Data.Nat.Log
    3
    4/-!
    5---
    6title: Polynomial size and approximation gap after sampling
    7type: theorem
    8---
    9For a verifier with soundness 2−t2^{-t} and at most 2f2^f accepting views,
    10repeat k=c(⌈log⁡2(m+2)⌉+3)k=c(\lceil\log_2(m+2)\rceil+3) times and sample
    11(m+2)2tk(m+2)2^{tk} choices. The sampled consistency graph has at most
    12(m+2)2(t+f)k(m+2)2^{(t+f)k} vertices and its low-clique threshold is 4(m+2)4(m+2).
    13
    14If c(εt−(1−ε)f)≥1c(\varepsilon t-(1-\varepsilon)f)\geq1, this separates an
    15n1−εn^{1-\varepsilon} approximation. The vertex bound is polynomial in the
    16proof length, with a degree depending only on the fixed verifier and
    17approximation parameters. These are size bounds, not machine running-time
    18certificates.
    19-/
    20
    21namespace Lax253009.SamplingParameters
    22
    23def repetitions (c m : ℕ) : ℕ := c * (Nat.clog 2 (m + 2) + 3)
    24
    25def sampleCount (t k m : ℕ) : ℕ := (m + 2) * 2 ^ (t * k)
    26
    27def vertexBound (f t k m : ℕ) : ℕ := (m + 2) * 2 ^ ((t + f) * k)
    28
    29def threshold (m : ℕ) : ℕ := 4 * (m + 2)
    30
    31axiom polynomial_bound (f t c m : ℕ) :
    32 vertexBound f t (repetitions c m) m ≤
    33 16 ^ ((t + f) * c) * (m + 2) ^ ((t + f) * c + 1)
    34
    35axiom approximation_gap (ε : ℝ) (hε : 0 < ε) (hε1 : ε ≤ 1)
    36 (f t c : ℕ) (hmargin : 1 ≤ (c : ℝ) * ((t : ℝ) * ε - (f : ℝ) * (1 - ε))) (m : ℕ) :
    37 Real.rpow (vertexBound f t (repetitions c m) m : ℝ) (1 - ε) * threshold m <
    38 sampleCount t (repetitions c m) m
    39
    40axiom choose_multiplier (ε : ℝ) (f t : ℕ)
    41 (hmargin : 0 < (t : ℝ) * ε - (f : ℝ) * (1 - ε)) :
    42 ∃ c : ℕ, 0 < c ∧ 1 ≤ (c : ℝ) * ((t : ℝ) * ε - (f : ℝ) * (1 - ε))
    43
    44end Lax253009.SamplingParameters
    45
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