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.
A numerical asymmetric Gaussian channel in the strong regime
Example
Use the complex Gaussian channel with , unit noise variance, , , , and in the convention of Real and complex two-user Gaussian interference channels. Then and the exact capacity region is bits per use.
Facts & Assumptions
Given: The complex Gaussian interference channel and parameters in the example.
Assume AC (The Axiom of Choice), as required by the Gaussian information and coding suppliers used in [F2].
Real and complex two-user Gaussian interference channels: and ; complex scalar rates use .
Exact strong-interference region for the two-user Gaussian interference channel: if and , capacity is the stated intersection of the two Gaussian MAC regions.
Proof
Assume [A1] and use the complex channel model [F1] with the stated unit power budgets and unit-variance noises. The gains satisfy and , so the strong-regime hypothesis of [F2] holds. The displayed SNR and INR values follow by squaring the gains and multiplying by unit powers.
The individual constraints in [F2] become and . The two sum constraints are and ; since , the first is active. This gives exactly the stated region.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
9 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
- Abbas El Gamal and Young-Han Kim, Lecture Notes on Network Information Theory, arXiv:1001.3404v4 (standard reference, not scraped)