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Random linear-size fingerprint code exists nonuniformly

Statement

For every n≥1 there is a map E:{0,1}ⁿ→{0,1}^(32n) of relative distance at least 1/4. Choosing the lexicographically first such codebook defines a nonuniform family; this argument gives no efficient uniform encoder.

Facts & Assumptions

Given: An integer n≥1 and a uniformly random map E:{0,1}n→{0,1}32n whose output bits are mutually independent and uniform.

[F1]

A Chernoff bound for sums of independent Bernoulli trials: For independent Bernoulli(p) trials of mean μ, Pr⁡(S≤(1−α)μ)≤exp⁡(−α2μ/2) for 0<α<1.

[F2]

Finite probability spaces, outcome weights, events, and event probabilities: A finite probability space assigns nonnegative weights summing to one, and every subset of outcomes is an event.

Proof

technique · probabilistic method on a finite probability space
1.1givenF1F2algebra

Fix distinct x,y. In each coordinate, the independent random bits Ei(x),Ei(y) disagree with probability 1/2, independently across the 32n coordinates. Thus their Hamming distance S is a sum of independent Bernoulli(1/2) variables with mean 16n. By [F1] with α=1/2, Pr⁡(S≤8n)≤e−2n.

2.1step 1.1F1F2algebrachoose∎

Order the 2n inputs lexicographically and index the (2n2)<22n unordered pairs by x<y. For each such pair, let Bxy be the event that its distance is below 8n. On every codebook, the indicator of ⋃x<yBxy is at most ∑x<y1Bxy; summing this pointwise inequality against the finite probability weights in [F2] gives the union bound Pr⁡(⋃x<yBxy)≤∑x<yPr⁡(Bxy). By step 1.1 this is at most 22ne−2n=e(2ln⁡2−2)n<1, since ln⁡2=∫12du/u<1. Hence some finite codebook has every pairwise distance at least 8n, which is relative distance at least 1/4. For each n, order all finite codebooks lexicographically and choose the first one with this property; this defines a nonuniform family without an arbitrary-choice axiom. The exhaustive selection gives no polynomial-time construction or efficient uniform encoder.

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