Monotonicity of Gaussian tropical distance to the diagonal hyperplane

Let X1,,XkX_1,\ldots,X_k be independent Gaussian random variables with distribution N(0,σ2)N(0,\sigma^2), and let H0H_0 denote the tropical hyperplane whose relevant coordinates are equal. The tropical distance is denoted by dtrd_{\rm tr}.

E[dtr((X1,,Xk),H0)]\mathbb{E}\left[d_{\rm tr}((X_1,\ldots,X_k),H_0)\right]

Monotonicity conjecture. The expectation above monotonically decreases with kk. Consequently, as σ0\sigma\to0, the hyperplane that best fits XX converges to H0H_0, meaning that the apex is at the center of the Gaussian.

The claim would identify the apex-centered hyperplane as the best-fitting hyperplane in the small-variance limit for general dimension. The surrounding discussion gives numerical evidence and notes that the cases k=2,3k=2,3 agree with established results, but no resolution of the general monotonicity statement is supplied.

Sources & referencesView supporting material

Primary source

Keiji Miura and Ruriko Yoshida, “Plücker Coordinates of the best-fit Stiefel Tropical Linear Space to a Mixture of Gaussian Distributions”, arXiv:2112.11893 (2023).

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