The repetition bound in the form the pipeline consumes #
The soundness half of thm:parallel-repetition at the level of games. The vendored theorem
MIPRE.Repetition.quantumValue_repeat_le (thm:direct-repetition-q) bounds
val*(G^{⊗k}) by exp(-c ε^{13} k / (ε + log(|𝒜||ℬ|))) with ε = 1 - val*(G). The structure
MIPRE.Repetition asks for exp(-c' ε^{13} k / (B + 1)) for answer alphabets of strings of
length at most B (Verifier.Answers B) and a hypothesis val*(G) ≤ 1 - ε that need not be
tight:
|Answers B| ≤ 3^{B+1}(card_answers_le, byAnswers.getElem?_injective), solog(|𝒜||ℬ|) ≤ 2(B + 1) log 3, andε ≤ 1 ≤ B + 1, so the denominator is at most(B + 1)(1 + 2 log 3);c' = c / (1 + 2 log 3)(repConst).- The exponent is monotone in the gap, so
1 - val*(G) ≥ εsuffices.
quantumValue_repeat_le_soundBound is the statement the assembly of Repetition ℓ uses.
The universal constant of thm:direct-repetition-q.
Instances For
The constant of the repetition bound for answers of bounded length:
c / (1 + 2 log 3).
Equations
Instances For
|Answers T| ≤ 3^{T + 1}.
The arithmetic of both repetition bounds. For answers of length at most B, a gap
ε' ∈ [ε, 1] and ε^13 ≤ ε'^p, the bound exp(-c₀ (ε'^p / (ε' + log(|𝒜||ℬ|))) k) of a
direct repetition theorem is at most soundBound (c₀ / (1 + 2 log 3)) ε k B: the denominator is
at most (B + 1)(1 + 2 log 3) (log_card_answers_mul_le). The tensor-product theorem has
p = 13; the commuting-operator one has p = 7, and ε^13 ≤ ε^7 for ε ≤ 1.
Game-level soundness of direct repetition, in the form of Repetition.soundness: for a
game with answers of length at most B, val*(G) ≤ 1 - ε gives
val*(G^{⊗k}) ≤ exp(-c' ε^{13} k / (B + 1)).
The direct repetition bound in a value model, at the constant c: for every game on a
nonempty question set with answers of length at most B, ω(G) ≤ 1 - ε gives
ω(G^{⊗k}) ≤ exp(-c ε^13 k / (B + 1)) for every k ≥ 1. The verifier-level soundness of
parallel repetition in ω is this and nothing else (MIPRE.val_repVerifier_le). The
tensor-product model has it at repConst (gameSoundIn_tensor), the commuting-operator model
at repConstCo (gameSoundIn_commuting, in VerifierCo.lean).
Equations
- One or more equations did not get rendered due to their size.
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The direct repetition bound survives lowering the constant.
The tensor-product model has the direct repetition bound at repConst.