Best-fit Stiefel tropical linear space at the Gaussian center

Let X1,,XdX_1,\ldots,X_d be independent random variables with distribution N(0,σ2)N(0,\sigma^2), and regard (X1,,Xd)(X_1,\ldots,X_d) as a point of Rd+1/R1\mathbb{R}^{d+1}/\mathbb{R}\mathbf{1}. Let LPL_P be the Stiefel tropical linear space associated with PP, and let the tropical distance be denoted by dtrd_{\rm tr}.

Best-fit Stiefel tropical linear space conjecture. As σ0\sigma\to0, the quantity

E[dtr((X1,,Xd),LP)]σ\frac{\mathbb{E}\left[d_{\rm tr}((X_1,\ldots,X_d),L_P)\right]}{\sigma}

achieves its minimum when P=0P=0.

This is presented as the paper's ultimate goal for best-fitting non-hyperplane Stiefel tropical linear spaces. The supplied text gives no proof or resolution, so the conjecture remains open.

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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