Best-fit Stiefel tropical linear space at the Gaussian center

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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 σ→0\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.

References

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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