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异方差三分量双变量高斯混合中至少存在七种模式

At least seven modes in a heteroscedastic three-component bivariate Gaussian mixture

Yutaro Kabata, Hirotaka Matsumoto, Akifumi Okuno

arXiv 2608.01776首次发表:更新:

AI 中文总结

该研究针对双变量三分量高斯混合,构造出含至少7个模式的异方差混合密度,为高斯混合模式数猜想提供了首个反例,证明原上界不成立。

AI 中文摘要

高斯混合密度的模式数可多于其分量数。已有猜想称,d元k分量高斯混合密度的最大模式数为组合数C(d+k-1,d),当(d,k)=(2,3)时该值为6。我们构造了一族等权重的异方差三分量双变量高斯混合密度,其至少包含7个不同的非退化模式,表明该猜想的上界对(d,k)=(2,3)不成立。据我们所知,这是所有(d,k)对中该猜想的首个反例。

英文摘要

A Gaussian mixture density can have more modes than components. It has been conjectured that the maximum number of modes of a $d$-variate $k$-component Gaussian mixture density is $\binom{d+k-1}{d}$, which equals six for $(d,k)=(2,3)$. We construct an explicit family of equally weighted heteroscedastic three-component bivariate Gaussian mixture densities with at least seven distinct nondegenerate modes, showing that this conjectured upper bound fails for $(d,k)=(2,3)$. To the best of our knowledge, this provides the first counterexample to the conjecture across all pairs $(d,k)$.

Comments10 pages, 3 figures

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