How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
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 and a uniformly random map whose output bits are mutually independent and uniform.
A Chernoff bound for sums of independent Bernoulli trials: For independent Bernoulli trials of mean , for .
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
Fix distinct . In each coordinate, the independent random bits disagree with probability , independently across the coordinates. Thus their Hamming distance is a sum of independent Bernoulli variables with mean . By [F1] with , .
Order the inputs lexicographically and index the unordered pairs by . For each such pair, let be the event that its distance is below . On every codebook, the indicator of is at most ; summing this pointwise inequality against the finite probability weights in [F2] gives the union bound . By step 1.1 this is at most , since . Hence some finite codebook has every pairwise distance at least , which is relative distance at least . For each , 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.
Depends on
Used by
Dependency tree · two levels
14 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Harry Buhrman, Richard Cleve, John Watrous, Ronald de Wolf, Quantum Fingerprinting (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, arXiv:1907.09415v6 (standard reference, not scraped)