The recursion behind the parallel repetition theorem #
Holenstein's proof of the parallel repetition theorem picks coordinates one at a time. With p_m
the probability of winning the m coordinates picked so far, Lemma 15 bounds each step by
p_{m+1} ≤ p_m (v + C √((m L + ln (1 / p_m)) / (n - m))), where v is the value of the game and
L stands for ln (|A| |B|). Section 7 turns this recursion into an exponential bound
Holenstein, Section 7: while 12 C² m L ≤ (1 - v)² (n - m), the probability
p_m is at most ((1 + v) / 2)^m (le_pow_of_step), and therefore the probability of winning all
n coordinates is at most ((1 + v) / 2)^⌊(1 - v)² n / (13 C² L)⌋
(le_pow_floor_of_step). Holenstein's proof takes C = 15, uses 12 · 15² = 2700 and
13 · 15² ≤ 3000, and ignores the rounding of the number of steps, which the floor here records.
This file is the analytic part of the theorem only: it assumes the recursion, which the
embedding lemmas establish.
Main results #
Cslib.PCP.ParallelRepetition.le_pow_of_step: the induction of Section 7.Cslib.PCP.ParallelRepetition.le_pow_floor_of_step: the resulting bound onp_n.Cslib.PCP.ParallelRepetition.le_two_mul_rpow_of_step: the bound in Holenstein's exponential form,p_n ≤ 2 (1 - (1 - v)³ / (26 C²))^{n / L}.
References #
The induction of Holenstein's Section 7 Holenstein, Section 7: if
p_0 = 1, p is nonnegative and nonincreasing, and every step satisfies
p_{m+1} ≤ p_m (v + C √((m L + ln (1 / p_m)) / (n - m))), then
p_m ≤ ((1 + v) / 2)^m as long as 12 C² m L ≤ (1 - v)² (n - m).
The bound of Holenstein's Section 7 Holenstein, Section 7: under the
recursion of le_pow_of_step with C ≥ 1, p_n ≤ ((1 + v) / 2)^⌊(1 - v)² n / (13 C² L)⌋.
The bound of Holenstein's Theorem 4, in exponential form [Holenstein, Section 7, (39)]
[Hol09]: under the recursion of le_pow_of_step with C ≥ 1,
p_n ≤ 2 (1 - (1 - v)³ / (26 C²))^{n / L}. The factor 2 accounts for rounding the number of
steps down; Holenstein's 6000 corresponds to 26 C² with C = 15 (26 · 225 = 5850).