activity
20242026
collaborators

9 papers

math.FA2026

A Chaining Approach to Canonical Processes with Log-Concave Tails

Xuanang Hu, Hanchao Wang, Xinglong Wu

We prove a decomposition theorem for canonical processes generated by independent symmetric random variables with log-concave tails, without the condition. The proof uses the…

math.PR2026

Rank deficiency of Bernoulli random matrices for growing corank

Zeyan Song, Hanchao Wang

Let A be an n x n Bernoulli random matrix whose entries are i.i.d. Bernoulli(p) random variables. In this paper, we determine the probability that the corank of A is at least k whe…

math.FA2026

Failure of Convex-Hull Bounds under Log-Convex Tails

Xuanang Hu, Hanchao Wang

Fix , and let be independent symmetric Weibull random variables, that is, \[ \textsf{P}(|X_i|>t)=e^{-t^r},\qquad t\ge 0. \] We prove that there is no co…

math.PR2026

Uniform Concentration for -subexponential Random Operators

Tiankun Diao, Xuanang Hu, Vladimir V. Ulyanov +1

Random matrices acting on structured sets play a fundamental role in high-dimensional geometry, compressed sensing, and randomized algorithms. Existing results primarily focus on s…

math.PR2025

The exact group-sparse recovery for block diagonal matrices with subexponential entries

Guozheng Dai, Tiankun Diao, Hanchao Wang

We study block-diagonal random matrices with i.i.d. subexponential entries and show that, despite their highly structured form, they already guarantee exact sparse recovery from a…

math.PR2025

The eigenvalue gap of inhomogeneous symmetric discrete random matrix

Zeyan Song, Hanchao Wang

Let A be an n x n symmetric random matrix whose upper-triangular entries are independent and follow possibly non-identical subgaussian distributions. This paper investigates the sp…

math.PR2025

The Rank and Singular Values of the Inhomogeneous Subgaussian Random Matrices

Guozheng Dai, Zeyan Song, Hanchao Wang

Let A be an n*n random matrix with mean zero and independent inhomogeneous non-constant subgaussian entries. We get that for any k<c\sqrt{n}, the probability of the matrix has a lo…

math.PR2024

Quantitative estimates of the singular values of random i.i.d. matrices

Guozheng Dai, Zhonggen Su, Hanchao Wang

Let be an random i.i.d. matrix. This paper studies the deviation inequality of , the -th smallest singular value of . In particular, when the en…

math.PR2024

On Log-Concave-Tailed Chaoses and the Restricted Isometry Property

Guozheng Dai, Zhonggen Su, Vladimir Ulyanov +1

In this paper, we obtain a -th moment bound for the suprema of a log-concave-tailed nonhomogeneous chaos process, which is optimal in some special cases. A crucial ingredient of…