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-alphabet point-to-point joint source-channel codes
Definition
Let be nonempty finite alphabets, let be a probability vector on , and let be a finite discrete memoryless channel from to as in Finite discrete memoryless channels. For positive integers , a deterministic joint source-channel code is a pair of maps The source block has law , the channel output conditional on input has law , and the reproduction is . The code has no feedback.
A code sequence at channel-use ratio consists of such codes with source lengths , channel lengths , and . In the lossless case , its block error is . In the lossy case, for finite nonnegative single-letter distortion , its normalized block distortion is from Single-letter and block distortion; expected distortion and the positive-slack excess-distortion probabilities for every are distinct criteria.
Depends on
Used by
Dependency tree · two levels
4 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
- Yury Polyanskiy, MIT OpenCourseWare 6.441 Information Theory, Chapter 20: Advanced Channel Coding and Source-Channel Separation (standard reference, not scraped)
- Robert M. Gray, Entropy and Information Theory, author-hosted full text (standard reference, not scraped)