Monotonicity conjecture for the normalized Cramér-transform exponential functional

For each nNn\in\mathbb{N}, let XnX_n be the rotationally invariant random vector denoted by E\mathcal{E} in Rn\mathbb{R}^n, and let ΛXn\Lambda_{X_n}^\ast be its Cramér transform. Normalized exponential-functional monotonicity conjecture. The function

n(EeΛXn(Xn))1/nn\longmapsto\left(\mathbb{E}e^{-\Lambda_{X_n}^\ast(X_n)}\right)^{1/n}

is non-increasing. The conjecture is motivated by numerical evidence and would identify the dimension dependence of the sharp constant in the rotationally invariant one-shot separability problem. The supplied text does not report a proof or counterexample.

Sources & referencesView supporting material

Primary source

Silouanos Brazitikos and Giorgos Chasapis, “Sharp estimates for the Cramér transform of log-concave measures and geometric applications”, arXiv:2405.07253 (2025).

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