Channel and question
- Input
- Separate deterministic encoders map independent uniform messages to words over finite nonempty alphabets \(\mathcal X_1\) and \(\mathcal X_2\).
- Output
- One receiver observes a word over a finite nonempty alphabet \(\mathcal Y\) and jointly decodes both messages.
- Law
- The length-n transition probability is \(\prod_{i=1}^n W(y_i\mid x_{1i},x_{2i})\).
- Quantity
- Capacity region \(\mathcal C_{\mathrm{MAC}}\), measured in rate pairs in bits per channel use.
Criterion. Nonnegative rate pairs supported at every sufficiently large blocklength with arbitrarily small average joint decoding error and arbitrarily small rate slack.
- Each encoder depends only on its own message; there is no feedback or message sharing.
- Blocklengths and any deterministic time-sharing schedule are fixed as part of the code.
- There are no input-cost constraints.
Current status
Q ranges over finite time-sharing alphabets. Ahlswede's Theorem 1 (page 33) gives the equivalent closed convex hull of successive-decoding corner rates. The cited proceedings were published in 1973 following the September 1971 conference; the bound dates below identify that verified publication.
| Result | Relation | Method | Year |
|---|---|---|---|
| Inner Region | \(R_1,R_2\ge0,\ R_1\le I(X_1;Y|X_2,Q),\ R_2\le I(X_2;Y|X_1,Q),\ R_1+R_2\le I(X_1,X_2;Y|Q)\) | Independent random codebooks, successive decoding of corner rates, and time sharing; Ahlswede's Theorem 1, pages 33–38. | 1973 |
| Outer Region | \(R_1,R_2\ge0,\ R_1\le I(X_1;Y|X_2,Q),\ R_2\le I(X_2;Y|X_1,Q),\ R_1+R_2\le I(X_1,X_2;Y|Q)\) | Fano's inequality and memoryless information bounds with a common time coordinate; Ahlswede's Theorem 1, pages 33–38. | 1973 |
Formal verification
The local proof uses separate random codebooks and a fixed time-sharing schedule. Three Fano bounds share one time coordinate; compactness handles boundary rates. The region allows arbitrary finite Q.
Claims
- The complete average-error capacity region with separate deterministic encoders equals the three single-letter inequalities over arbitrary finite time sharing, including boundary rates and zero-rate axes.
exact-capacity· exact capacity · solved · Formally proved · v1
Lean declarations (4)
CapacityAtlas.MultipleAccess.BlockCodeAPI
lean/CapacityAtlasForMathlib/InformationTheory/MultipleAccess.lean — Separate deterministic message encoders and one joint decoder.CapacityAtlas.MultipleAccess.operationalRegionAPI
lean/CapacityAtlasForMathlib/InformationTheory/MultipleAccess.lean — Nonnegative achievable rate pairs with vanishing average joint error and rate slack.CapacityAtlas.MultipleAccess.informationRegionAPI
lean/CapacityAtlasForMathlib/InformationTheory/MultipleAccess.lean — All three averaged information inequalities under independent conditional input laws and finite time sharing.CapacityAtlas.Channel.multipleAccessCapacityStatementclaim · exact-capacity
lean/CapacityAtlas/Channels/MultipleAccess.lean — Canonical operational MAC capacity-region equality.
Linked proofs (1)
- exact-capacity · complete · claim v1
TomasOrtega/CapacityAtlasMAC@ec5be554·CapacityAtlasMAC.capacityCertificate
Historical upstream certificate imported into this repository. Pins Atlas commit f1ffd9d31dfa462010be6a95ab79bfd2f911ca76. The upstream audit checks every external proof declaration and full canonical-proposition correspondence with rigid universes; negative controls reject a different proposition and a universe-restricted certificate.
References
- Rudolf Ahlswede (1973). Multi-way communication channels. Proceedings of the Second International Symposium on Information Theory (September 1971), Akadémiai Kiadó, pp. 23–52.
- Henry Herng-Jiunn Liao (1972). Multiple Access Channels. PhD thesis, University of Hawaii.
- Abbas El Gamal and Young-Han Kim (2011). Network Information Theory. Cambridge University Press. DOI 10.1017/CBO9781139030687.