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A Note on the Gaussian Minimum Conjecture

Probability 2020-08-17 v1

Abstract

Let n2n\geq 2 and (Xi,1in)(X_i,1\leq i\leq n) be a centered Gaussian random vector. The Gaussian minimum conjecture says that E(min1inXi)E(min1inYi)E\left(\min_{1\leq i\leq n}|X_i|\right)\geq E\left(\min_{1\leq i\leq n}|Y_i|\right), where Y1,,YnY_1,\ldots,Y_n are independent centered Gaussian random variables with E(Xi2)=E(Yi2)E(X_i^2)=E(Y_i^2) for any i=1,,ni=1,\ldots,n. In this note, we will show that this conjecture holds if and only if n=2n=2.

Cite

@article{arxiv.2008.06211,
  title  = {A Note on the Gaussian Minimum Conjecture},
  author = {Yang-Fan Zhong and Ting Ma and Ze-Chun Hu},
  journal= {arXiv preprint arXiv:2008.06211},
  year   = {2020}
}

Comments

10 pages

R2 v1 2026-06-23T17:51:09.997Z