Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

Hamming weight and distance of a finite-field linear code

Definition

For x=(x0,…,xn−1)∈Fn, its Hamming weight is wt⁡(x):=∣{j<n:xj≠0}∣. For x,y∈Fn, their Hamming distance is dH(x,y):=wt⁡(x−y). For a nonzero code C≤Fn, define its minimum distance by d(C):=min⁡0≠c∈Cwt⁡(c). This minimum exists because its nonempty set of values lies in {1,…,n} and the natural numbers are well ordered (The well-ordering principle). For the zero code C={0}, set d(C):=n+1 by convention; this sentinel exceeds every possible Hamming weight and makes the usual radius statements vacuously valid for distinct codewords.

The code parameters are written [n,k,d]q, where q=∣F∣ and d=d(C). This notation records a finite-field alphabet and does not imply that F=Z/qZ.

Remarks

The identity dH(x,y)=wt⁡(x−y) is used over every characteristic; only in characteristic two does subtraction equal addition.

Depends on

Used by

Dependency tree · two levels

18 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