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.
Finite fixed-length multiterminal lossless code
Definition
Fix a finite-alphabet IID multisource from Finite-alphabet IID multisource and a blocklength . Choose positive integers . A fixed-length multiterminal lossless code consists of separate deterministic encoders and one common deterministic decoder Its block-error probability is The rate of encoder is nats per source symbol, with the logarithm convention of Information units and logarithm-base convention. A vector is achievable if there are strictly increasing blocklengths and such codes for which and for every . The encoders do not observe other terminals' source blocks; only the common decoder receives all message indices.
Remarks
Each index alphabet can be transmitted using bits of fixed length. The corresponding rate in nats differs from by at most due to integer bit rounding.
Depends on
Used by
- Berger-Tung inner bound contains the Slepian-Wolf region Example
- Binary symmetric source: Slepian–Wolf corners and common part Example
- Lossless Wyner-Ziv endpoint is the Slepian-Wolf rate Example
- Shared random bins do not factor across encoders Example
- Finite-IID k-source Slepian–Wolf rate region Theorem
Dependency tree · two levels
8 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
- Thomas M. Cover and Joy A. Thomas, Elements of Information Theory, second edition, Chapter 15 (standard reference, not scraped)
- Yury Polyanskiy and Yihong Wu, Information Theory: From Coding to Learning, author-hosted book draft (standard reference, not scraped)