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 , its Hamming weight is . For , their Hamming distance is . For a nonzero code , define its minimum distance by . This minimum exists because its nonempty set of values lies in and the natural numbers are well ordered (The well-ordering principle). For the zero code , set 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 , where and . This notation records a finite-field alphabet and does not imply that .
Remarks
The identity is used over every characteristic; only in characteristic two does subtraction equal addition.
Depends on
Used by
- A short Reed–Solomon code over F₅ and its symbol-error syndromes Example
- Repetition-code syndrome, known erasures, and unlocated errors Example
- Steane seven-qubit CSS code Example
- The binary [7,4,3] Hamming code and its single-error syndromes Example
- Equal classical syndromes imply a codeword difference Lemma
- Hamming balls below half the code distance are disjoint Lemma
- Classical distance gives error detection, unique decoding, and erasure recovery Theorem
- CSS syndrome correction Theorem
- Hamming distance is a metric and linear-code distance is minimum nonzero weight Theorem
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
- Richard Cleve, Quantum Information Processing course notes, §§37.1–37.1.3 (standard reference, not scraped)
- John Preskill, Quantum Computation, Chapter 7, §7.6 (standard reference, not scraped)