Weak Simplex Conjecture
Weak Simplex Conjecture
For every integer , energy , and noise standard deviation , let satisfy for all , and let the signals have equal prior probabilities and be transmitted over an additive white Gaussian noise channel with maximum-likelihood decoding. If denotes the probability of correct decoding, then is maximized by the vertices of a regular simplex centered at the origin, characterized by for all . Moreover, equality holds only when the signal set is a regular simplex, up to a permutation of the vertices and an orthogonal transformation of .
Progress summary
A new preprint claims to have proved that the regular simplex is the unique best arrangement, but independent mathematical verification is not yet available.
The conjecture asserts that, for signals in -dimensional Euclidean space under equal energy limits, the regular simplex uniquely minimizes Gaussian decoding error. Its history runs from Shannon’s suspicion through the formulations of Cover (1987) and Massey (1988); the stronger version was disproved by Steiner (1994).
Known results
- Balakrishnan gave an early partial study.
- Dunbridge proved low-noise asymptotic optimality and local optimality at every noise level.
- Landau and Slepian announced a proof in 1966, later found valid only for .
- Steiner disproved the Strong Simplex Conjecture in 1994, leaving the weak version unresolved.
August 2026 equality-case claim
The preprint posted on August 19, 2026 claims to classify all equality cases, proving uniqueness of the regular simplex, including under an energy budget. It also reports a Lean 4 machine-check of the single-parameter rigidity argument. This is a claimed advance rather than independently verified resolution; a separate preprint had proved optimal values but explicitly left uniqueness open.
Current status (as of August 2026): the optimal-value statement has a preprint proof, while uniqueness is claimed by the August 2026 preprint but remains unverified.
Sources
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